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	<title>Get a tiny house, sleepout, office, cabin or studio. &#187; News</title>
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		<title>a16z generative ai 1</title>
		<link>https://habpad.co.nz/a16z-generative-ai-1-3/</link>
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		<pubDate>Fri, 07 Aug 2026 12:10:19 +0000</pubDate>
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		<description><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-1-3/">a16z generative ai 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
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				<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments<br />
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
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width="301px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which  can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>How Global Brands Use Geo-Targeting To Increase Conversions; Interview With The CMO Of Geo Targetly</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p>
<p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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" width="306px" alt="a16z generative ai"/></p>
<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p>
<h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-1-3/">a16z generative ai 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		<title>what does nlu mean 1</title>
		<link>https://habpad.co.nz/what-does-nlu-mean-1/</link>
		<comments>https://habpad.co.nz/what-does-nlu-mean-1/#comments</comments>
		<pubDate>Mon, 29 Jun 2026 14:11:01 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=181924</guid>
		<description><![CDATA[<p>Using Watson NLU to help address bias in AI sentiment analysis What is Natural Language Understanding NLU? The model’s training leverages web-scraped data, contributing to its exceptional performance across various NLP tasks. Rules-based approaches often imitate how humans parse sentences [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/what-does-nlu-mean-1/">what does nlu mean 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Using Watson NLU to help address bias in AI sentiment analysis<br />
<h1>What is Natural Language Understanding NLU?</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="304px" alt="what does nlu mean"/></p>
<p>
<p>The model’s training leverages web-scraped data, contributing to its exceptional performance across various NLP tasks. Rules-based approaches often imitate how humans parse sentences down to their fundamental parts. A sentence is first tokenized down to its unique words and symbols (such as a period indicating the end of a sentence). Preprocessing, such as stemming, then reduces a word to its stem or base form (removing suffixes like -ing or -ly). The resulting tokens are parsed to understand the structure of the sentence.</p>
</p>
<p>
<p>Entry-level LLB programs are available in both 3-year and 5-year formats. This website is using a security service to protect itself from online attacks. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. Seats in CLAT 2024 are allotted based on candidates&#8217; merit ranks obtained in the CLAT entrance exam.</p>
</p>
<p>
<h2>What Is Natural Language Processing (NLP)? Meaning, Techniques, and Models</h2>
</p>
<p>
<p>When we ask questions of these virtual assistants, NLP is what enables them to not only understand the user’s request, but to also respond in natural language. NLP applies both to written text and speech, and can be applied to all human languages. Other examples of tools powered by NLP include web search, email spam filtering, automatic translation of text or speech, document summarization, sentiment analysis, and grammar/spell checking. For example, some email programs can automatically suggest an appropriate reply to a message based on its content—these programs use NLP to read, analyze, and respond to your message. Machine translation has come a long way from the simple demonstration of the Georgetown experiment. This vector is then fed into an RNN that maintains knowledge of the current and past words (to exploit the relationships among words in sentences).</p>
</p>
<p>
<ul>
<li>In this world of instant everything, people have become less patient with dialing up companies to answer various questions.</li>
<li>ANNs utilize a layered algorithmic architecture, allowing insights to be derived from how data are filtered through each layer and how those layers interact.</li>
<li>RNNs are a type of ANN that relies on temporal or sequential data to generate insights.</li>
</ul>
<p>
<p>The initial setup was a little confusing, as different resources need to be created to make a bot. Kore.ai lets users break the dialog development into multiple smaller tasks that can be worked on individually and integrated together. It also supports the ability to create forms and visualizations to be utilized within interactions. Knowledge graphs are supported for integrating question and answer functionality.</p>
</p>
<p>
<h2>New training paradigm prevents machine learning models from learning spurious correlations</h2>
</p>
<p>
<p>In addition, organizations can use VUIs to enhance their products and services and engage with customers more effectively. The transient nature of  auditory interfaces therefore necessitates that the VUI clearly state possible interaction options and provide only essential information without overloading or confusing users. In addition, users must be coached in what voice commands the VUI will understand and the type of interactions they can perform. To secure a spot in the top 3 NLUs, it’s crucial to aim for a score above 80.</p>
</p>
<p>
<p>Good Rank in CLAT refers to securing a position that ensures admission to top National Law Universities (NLUs) or desired law programs. Read on to learn about what factors constitute a good rank in the CLAT exam and how they relate to your CLAT score in 2025. Before embarking on the NLU journey, distinguishing between Natural Language Processing (NLP) and NLU is essential. While NLP is an overarching field encompassing a myriad of language-related tasks, NLU is laser-focused on understanding the semantic meaning of human language.</p>
</p>
<p>
<h2>NALSAR (NLU Hyderabad) Fees And Eligibility For Various Courses</h2>
</p>
<p>
<p>Each API would respond with its best matching intent (or nothing if it had no reasonable matches). All default confidence thresholds were removed to level the  playing field. To evaluate, we used Precision, Recall, and F1 to qualify each service&#8217;s performance. VUIs can help streamline operations, simplify routine tasks, facilitate collaboration and provide more effective employee training and education. They can also make it easier for workers to access the information they need when they need it and then share it with others.</p>
</p>
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" width="304px" alt="what does nlu mean"/></p>
<p>
<p>A voice user interface (VUI) is a type of interface that relies on speech recognition technology to enable users to interact with an application or device through voice commands. The application might run locally on the device or be hosted on a web server or cloud computing platform. The CLAT exam cutoffs change each year based on factors mentioned earlier.</p>
</p>
<p>
<h2>A three airport offer</h2>
</p>
<p>
<p>NLP attempts to analyze and understand the text of a given document, and NLU makes it possible to carry out a dialogue with a computer using natural language. Human language is typically difficult for computers to grasp, as it&#8217;s filled with complex, subtle and ever-changing meanings. Natural language understanding systems let organizations create products or tools that can both understand words and interpret their meaning. Your CLAT 2024 scorecard will show your total marks, overall rank in CLAT 2024, category rank, and other details.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="309px" alt="what does nlu mean"/></p>
<p>
<p>For instance, other than NLSIU Bengaluru, none of the remaining NLUs offers a 3-year course, but all of them offer 5-year integrated courses. That being said there are still a handful of top-ranked law colleges that offer the 3-year course. LLB Full Form –The full form of LLB is Legum Baccalaureus popularly known as Bachelor of Law. LLB is a three-year&nbsp;law degree course&nbsp;pursued after completion of graduation. LLB course is offered by many prominent&nbsp;law colleges&nbsp;as per the guidelines prescribed by the&nbsp;Bar Council of India&nbsp;(BCI). The BCI is the apex law body that regulates legal education and the legal profession in India.</p>
</p>
<p>
<h2>Caption generation</h2>
</p>
<p>
<p>So far, zero international airlines have shown interest in operating cabotage flights from Mexico’s newest international airport. In the early 2010s, Solomon and Tron Schuster lived across the hall from each other at Miami University in Oxford, Ohio. What began as a friendship evolved beyond graduation into a text chain including Neil Schuster, who played football at Columbia before moving to San Francisco to pursue a variety of tech jobs. In time, “No Laying Up” entered the world as a Twitter feed created by Solomon in 2013. In the real world, humans tap into their rich sensory experience to fill the gaps in language utterances (for example, when someone tells you, “Look over there?” they assume that you can see where their finger is pointing). Humans further develop models of each other’s thinking and use those models to make assumptions and omit details in language.</p>
</p>
<p>
<h3>What Is Natural Language Processing (NLP)? &#8211; Oracle</h3>
<p>What Is Natural Language Processing (NLP)?.</p>
<p>Posted: Thu, 25 Mar 2021 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiiwFBVV95cUxNbWhvR0JVbUF1LWQ4dy1CRkZEcS1OakIyc3BDakMyamN1RDdQenhZLVB4bUpCU2R0UHNiRzhudXRLQW1OaFFBU3BtbWZOMTlFNlZERmMyOV9kcFJqR3ZQV2J3NVVUV3dqS2wyNGM4djVySGNDeUh1SEJtRExBYWpZbUZ5YjNfRFRDeUIw?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>To help us learn about each product’s web interface and ensure each service was tested consistently, we used the web interfaces to input the utterances and the APIs to run the tests. Once the corpus of utterances was created, we randomly selected our training and test sets to remove any training bias that might occur if a human made these selections. The five platforms were then trained using the same set of training utterances to ensure a consistent and fair test. NRI candidates often need to provide relevant documents, such as passport and visa details, to prove their NRI status. Additionally, they might be required to fulfill specific academic criteria set by the respective NLUs.</p>
</p>
<p>
<h2>Important Factors Affecting NLUs Cut off 2024</h2>
</p>
<p>
<p>The Common Law Admission Test (CLAT) is a tough entrance exam for getting into top law colleges in India like the National Law Universities (NLUs). In this detailed talk, we’ll look into what affects CLAT ranks, why different NLUs have different rank expectations, and how to aim for a good CLAT rank. As with any technology, the rise of NLU brings about ethical considerations, primarily concerning data privacy and security. Businesses leveraging NLU algorithms for data analysis must ensure customer information is anonymized and encrypted. In the panorama of Artificial Intelligence (AI), Natural Language Understanding (NLU) stands as a citadel of computational wizardry.</p>
</p>
<p>
<ul>
<li>To date, the approach has supported the development of a patient-facing chatbot, helped detect bias in opioid misuse classifiers, and flagged contributing factors to patient safety events.</li>
<li>Once inaugurated, Viva Aerobus will have 108 weekly flights from Mexico City to Cancún and 103 weekly flights to Monterrey.</li>
<li>They could also field customer questions through recorded messages, after extracting information from databases.</li>
<li>Vancouver Island is the named entity, and Aug. 18 is the numeric entity.</li>
<li>To secure a spot in the top 3 NLUs, it’s crucial to aim for a score above 80.</li>
</ul>
<p>
<p>The voracious data and compute requirements of Deep Neural Networks would seem to severely limit their usefulness. However, transfer learning enables a trained deep neural network to be further trained to achieve a new task with much less training data and compute effort. Perhaps surprisingly, the fine-tuning datasets can be extremely small, maybe containing only hundreds or even tens of training examples, and fine-tuning training only requires minutes on a single CPU. Transfer learning makes it easy to deploy deep learning models throughout the enterprise. Many voice-based interfaces have now moved into what is generally considered the third generation of VUIs. These systems incorporate automatic speech recognition, as well machine learning, natural language processing and other advanced AI technologies.</p>
</p>
<p>
<p>The early roots of “No Laying Up” are as a sort of golf media saboteur, hurling Takes from outside the club. The first episode of the podcast, recorded in April 2014, is all gas, no chaser, complete with potato chips crunching in the background. It was easy then because they didn’t know Kuchar, nor was there any chance they would ever know Kuchar. Unlike most other golf podcasts that have grown in popularity over the years, NLU had no media outlet mechanism to bring it to the mainstream, nor were any of the hosts a member of the media.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="what does nlu mean"/></p>
<p>
<p>NRI candidates must take the CLAT exam, while foreign nationals are usually eligible for direct admission to most NLUs. However, foreign nationals seeking admission need to apply separately during the counseling process, using a distinct application form designed for NRI, NRI-S (NRI sponsored), and FN categories. Admission for foreign nationals is primarily based on their academic performance.</p>
</p>
<p>
<p>Viva Aerobus has claimed that it has been unable to launch up to seven new routes to the United States due to the loss of category, including a new Mexico City-Austin service. Aeromexico’s newest route will be an enormous boost for the Felipe Ángeles International Airport. This airport, inaugurated in March 2022, only has four international routes at the moment, operated by four carriers. Arajet flies to Santo Domingo, Conviasa to Caracas, Copa Airlines to Panama City, and Viva Aerobus to Havana. NALSAR&nbsp;University has consistently been ranked among the top law schools in India. It has been ranked as one of the best law universities in the country by various ranking agencies and surveys, including the National Institutional Ranking Framework (NIRF) conducted by the Government of India.</p></p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/what-does-nlu-mean-1/">what does nlu mean 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://habpad.co.nz/a16z-generative-ai-9/</link>
		<comments>https://habpad.co.nz/a16z-generative-ai-9/#comments</comments>
		<pubDate>Tue, 23 Jun 2026 19:10:44 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=176986</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-9/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-9/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://habpad.co.nz/a16z-generative-ai-8/</link>
		<comments>https://habpad.co.nz/a16z-generative-ai-8/#comments</comments>
		<pubDate>Fri, 19 Jun 2026 16:56:42 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=167425</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-8/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
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				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-8/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://habpad.co.nz/a16z-generative-ai-7/</link>
		<comments>https://habpad.co.nz/a16z-generative-ai-7/#comments</comments>
		<pubDate>Fri, 12 Jun 2026 18:43:46 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=159840</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-7/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
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				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-7/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>adobe generative ai 1</title>
		<link>https://habpad.co.nz/adobe-generative-ai-1-2/</link>
		<comments>https://habpad.co.nz/adobe-generative-ai-1-2/#comments</comments>
		<pubDate>Wed, 03 Jun 2026 07:15:07 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=154240</guid>
		<description><![CDATA[<p>Grace Yee, Senior Director of Ethical Innovation AI Ethics and Accessibility at Adobe Interview Series Adobe&#8217;s Claims Next Generative AI Features Will Be Commercially Safe Speaking of “early access” features, Adobe introduced AI-powered Lens Blur as an early access tool [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/adobe-generative-ai-1-2/">adobe generative ai 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
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				<content:encoded><![CDATA[<p>Grace Yee, Senior Director of Ethical Innovation AI Ethics and Accessibility at Adobe Interview Series<br />
<h1>Adobe&#8217;s Claims Next Generative AI Features Will Be Commercially Safe</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="adobe generative ai"/></p>
<p>
<p>Speaking of “early access” features, Adobe introduced AI-powered Lens Blur as an early access tool last year. With today’s Lightroom ecosystem update, it is finally available to everyone, no strings attached. For those who want it, it’s available in all versions of Adobe Lightroom beginning today as an “early access” feature. While it’s easy to think about “generative AI” in terms of adding something to a scene, it also makes sense for removal, as to do so convincingly, new pixels must  be made to replace what is taken out of the frame.</p>
</p>
<p>
<p>By being open about our data sources, training methodologies, and the ethical safeguards we have in place, we empower users to make informed decisions about how they interact with our products. This transparency not only aligns with our core AI Ethics principles but also fosters a collaborative relationship with our users. Adobe could improve the user experience dramatically by simply including the reason a generation gets flagged as a guideline violation. They request we use their feedback system when this happens, but don’t give us any feedback in return.</p>
</p>
<p>
<h2>Make sure you&#8217;re running the right version</h2>
</p>
<p>
<p>There, a user’s remaining number of generative credits is shown and it reloads in real-time. There is no indication inside any of Adobe’s apps that tells a user a tool requires a Generative Credit and there is also no note showing how many credits remain on an account. Adobe’s FAQ page says that the generative credits available to a user can be seen after logging into their account on the web, but PetaPixel found this isn’t the case, at least not for any of its team members.</p>
</p>
<p>
<h3>The future of content creation and production with generative AI &#8211; the Adobe Blog</h3>
<p>The future of content creation and production with generative AI.</p>
<p>Posted: Wed, 11 Dec 2024 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMipAFBVV95cUxQLXktZ3IyeVVxek5tWEpKTnM0dXFacVQxLWZNbXpodWZQczI0RWFBTkFlWmNSc3hsazl2SF84YloxbGNEd2x6aktvZndWNjRzaEdtYnJTcjBsV29DWEpVNU9fblNyUVRRR1h4TGd3YkMtVElPbTdnQlpiRXBoTWFaLThfRGRieVFTTEFhRnA5N3hWQjBJSGtEdWxUZHd3akpGX2hoMg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>The Firefly Video Model (beta) is set to extend Adobe’s family of generative AI models and make Firefly one of the most comprehensive model offerings for creative teams. It is available today through a limited public beta with the goal of garnering feedback from small groups of creative professionals. Adobe is upgrading those existing capabilities to a new AI model called the Firefly Image 3 Model. According to the company, the update will improve both the quality and variety of the content that the features generates.</p>
</p>
<p>
<h2>Adobe&#8217;s new AI tools will make your next creative project a breeze</h2>
</p>
<p>
<p>By Jess Weatherbed, a news writer focused on creative industries, computing, and internet culture. To its credit, two of the three options Generative Remove suggested did provide usable alternatives. Unfortunately, the Bitcoin option was the first one, which (whether Adobe intends this or not) tells an editor that it is what the platform feels is the best result. While this kind of makes sense if you don’t think about it too hard, it also is completely counterintuitive to the concept of the name of the tool and the result an editor is expecting. “Select the entire object/person, including its shadow, reflection, and any disconnected parts (such as a hand on someone else’s shoulder). For example, if you select a person and miss their feet, Lightroom tries to rebuild a new person to fit the feet,” the article reads.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="adobe generative ai"/></p>
<p>
<p>&#8220;It&#8217;s another way to penetrate and radiate the user base,&#8221; Gartner analyst Frances Karamouzis said. The new Media Intelligence tool in Premiere Pro follows the introduction of other AI-driven features including Firefly-powered Generative Extend. If I am selecting a body part and asking a tool to fill or remove that space, zero percent of the time would I want it to replace my selection with its eldritch nightmare version of that exact same thing. What I, and any editor doing this, want is for what is selected to be removed as seamlessly as possible. GPU-accelerated, AI-powered video retiming tool can now be used without a host app, for under half the price of a regular plugin license. Internally, IBM is also using Adobe Firefly to streamline workflows, leveraging generative art, Photoshop, Illustrator, and Firefly’s AI capabilities.</p>
</p>
<p>
<h2>Generative Extend is coming to the Adobe Premiere Pro beta</h2>
</p>
<p>
<p>That’s an existing Illustrator feature for creating scalable vector, or easily resizable, versions of an image. According to Adobe, its engineers have enhanced the  visual fidelity of the feature’s output. Or perhaps someone likes the look of an image but wishes that the subject were somewhere else in the frame.</p>
</p>
<p>
<ul>
<li>Leading enterprises including the Coca-Cola Company, Dick’s Sporting Goods, Major League Baseball, and Marriott International currently use Adobe Experience Platform (AEP) to power their customer experience initiatives.</li>
<li>“Dubbing and Lip Sync” can translate and edit lip movement for video audio into 14 different languages, and a new InDesign tool can automatically format text and images for print and digital media using predefined templates.</li>
<li>One of the biggest announcements for videographers during Adobe Max 2024 is the ability to expand a clip that’s too short.</li>
<li>Illustrator and Photoshop have received GenAI tools with the goal of improving user experience and allowing more freedom for users to express their creativity and skills.</li>
</ul>
<p>
<p>My advice would be to begin by establishing clear, simple, and practical principles that can guide your efforts. Often, I see companies or organizations focused on what looks good in theory, but their principles aren’t practical. The reason why our principles have stood the test of time is because we designed them to be actionable.</p>
</p>
<p>
<h2>Adobe Firefly Feature Deep Dive</h2>
</p>
<p>
<p>Firefly is featured in numerous Adobe apps, including Photoshop, Express, and Illustrator, and with the introduction of the Firefly Video Model (beta), it is coming to Premiere Pro, Adobe’s venerable video editing software. At the heart of Adobe&#8217;s announcements is the expansion of its Firefly family of generative AI models. The company introduced a new Firefly Video Model, currently in beta, which allows users to generate video content from text and image prompts.</p>
</p>
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" width="301px" alt="adobe generative ai"/></p>
<p>
<p>While the company was not proactive about alerting users to this change, Adobe does have a detailed FAQ page that includes almost all the information required to understand how Generative Credits work in its apps. As of January 17, Adobe started enforcing generative credit limits “on select plans” and tracking use on all of them. When it comes to generative artificial intelligence (AI), one company that has been at the forefront on the software side is Adobe (ADBE -0.43%). The company has added a number of AI-related features to both its Creative line of products, such as Photoshop, and its Acrobat-led Document Cloud business. Since many mobile devices shoot HDR photos, software has continually expanded its support for HDR image editing, Lightroom among them. With HDR Optimization, Lightroom users can achieve brighter highlights, deeper shadows, and more saturated colors in HDR photos.</p>
</p>
<p>
<p>For Creative Bloq, Ian combines his experiences to bring the latest news on digital art, VFX and video games and tech, and in his spare time he doodles in Procreate, ArtRage, and Rebelle while finding time to play Xbox and PS5. As some examples above show, it is absolutely possible to get fantastic results using Generative Remove and Generative Fill. But they’re not a panacea, even if that is what photographers want, and more importantly, what Adobe is working toward. There is still need to utilize other non-generative AI tools inside Adobe’s photo software, even though they aren’t always convenient or quick. As its name suggests, Generative Remove generates new pixels using artificial intelligence.</p>
</p>
<p>
<h2>Adobe&#8217;s Claims Next Generative AI Features Will Be ’Commercially Safe‘</h2>
</p>
<p>
<p>The new AI features will be available in a stable release of the software “later this year”. Generate Similar, shown above, automatically generates variations of a source image, making it possible to iterate more quickly on design ideas. Users can guide the output by entering a brief text description, with Photoshop automatically matching the lighting and perspective of the foreground objects in the content it generates. In Photoshop 25.9, they are joined by the ability to create entire images from scratch, in the shape of new text-to-image system Generate Image.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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P6ogl57N18XbkNpL3YzUJk2nbO9MQznrKCw1Vwc1rsAdfUBjT6/5sVmYaBNOMPfqxwubbggaW/XNYdXTufJ59E6zm+q3mCDYkEdV+d76dSwi0jqDX/R9q7jY9ebP5qjT+oGNguVpusD4o6kMJ3XxSYw2RhJ3XNzjJ9aqqz6X2IbWZDQbNtVXTTepJ8+TWTUMbDDUvPKOGpjJDj2DfDXE4wCeXr0bqzUdVse19Lrq61Vy0rFaHUdFBWv63/aUh3abqS/jlkmJDg8Gtd6jYrQmm71rDWFo03p+Mur66rjjiIJAj45dI4j4LWtBc49jWk9ilZZJ8DlZTxOzsdrYgXFzt2frRYbYW14kncejkboXNPqmwvqCLac+fK6nl2tdwslyqbTdKV1NV0croZ4nc2PBwQvIq825Xqg1DtY1JdLbOZqeSq3Gy9spjY1jn/8AMWk+sqg1tbwGuIHIq1C90kTXu3IB+CIiKlXUUQMqCiDjJxlCQBcoL30Q47+XcpjT6dv1ZF11NZ6yVn1zYXYV0dnugKO30cF6u1M2WtlAkiZIMiFp5HB+q7c9ir0cMDAOBjiuU495TIqCpNPQxiTLoXEkD4fNfRnCHkBqMZomV2LzmIPFwxoBdbrcToL9W6x1809TD/0Gt/EuTzU1L/YNb+JcsigcDH+ajn1/GoL9rFb+HZ73fVbj+7fhP4yT3N+ix081NS/2DW/iXJ5qal/sGt/EuWRefX8aZ9fxp+1it/Dt97vqvP3b8J/GSe5v0WOnmpqX+wa38S5BpTU3ZYq38S5ZF59fxpn1rz9rFb+HZ73fVej/AA4YSP8A7knub9Fjm/S2oo27zrHWgDnmFylr43xOMckbmPbzDhgj2LJ3J+QqRap0fatUUboqiJkVU0HqqhrfSae4948CpPC/KoJZ2x18WVpO7Tt4KB4g/wAOr6akdPg9UXvaL5XgDN2AjQeI8QsfePPKgvTcbfV2qvnt1dEWT07yyQZ7R/l2rzLr0UjZoxIzY696+ZZ4X08joZBZzSQRzBCIiKtWkRERF9OaIi5UtlRcCRknuXNUXtb10zZ3oW56mLmeURM6ukY4cHzu4MHx8T4AquOJ0zxGzc6LGrKqKip31M5s1gJPcFZ/pLbcZrQ+TZ5pOqLKuSPFxq4nYMLXf+E3ucRzPYDgczjFhrscAAoVVdV3KsnuFwqZKipqJHTSyyOy573HJJPeSVx3l1TDsNjw+ERN35nrK+NeLeIqvifEHVU/2Nmt5AcvHrK7OBGd7ipnYNN6g1VXttmnbRU3CqP1ELM49ZPBo8SQFNdmezy8bTdTRaetQMcYHW1dUW5bTxdrj4nkB2nwzjMryXQHR+2fzVkNK2ClpGjffgGesmPIE9rifYPABYOKYsKJwgiGaQ8urvUrwfwG/iCN1fWv6KlZe7jubbhv1/NWJsHRA1bW07KnUuo6C1FwDjBEwzvZ4OOWtBHgSPFe+r6HnlMDjZNolPPM36mSly32lr8j4irV7Sdt+tto1Y81l0moLbkiG3UsrmRhvZvkY6w+LuHcAqP09rHUOkLzTX+x3SenqaR4k9GQhsjQcljx9U04wQV7HSYxKzpjKA7qtopgV3BkE4pqehdJHexeXkO7wNvfZTfaNsq1nsxrRTant4EErt2Ctgdv08xxnDXEAg+DgDw7RxVDSvHgVsX1/aLbr/ZNcIrjTN6uttZq499oJikEe+xw7iCAtccsmeOfapDhzE34lE4SD12GxWfxPwlDw/VxmlN4pBdt9x2HrV8Ojft+qtnt3g0dqWrdJpqvm3GOe4/zCVx+G3P/AIZPwm9md4duc5YpGytEjCC1wyCDwK1OSyA8DyPes5uh/tSqdbaDk0veKszXLTe7A17zl8lKc9U49+7gsz3NGeKh+MMBbGz0hTi2vrAfP6rpnAmLSuZ5hUHNYeqT8vosgWqK4tzjiuS56F0tEREREREREUCoZ8V4TZFS+1DTsGrNn+oNPTwtl8tt8zWBwyBIG70Zx4PDT7F87Ni2N3rUW3ip2Y2y2vmjory9lcI+IpaKOcNlld27rGOySOK+kx5BGHgEYOc8lhlVdG3Y3sK6Q926Q2qr5aqO13Ol34qGZznzzVMZyxjaYMPW7m6xzS3iXQxEt3mmR0hRMFR/ogXcDew3cLagdugVl4yku7LLJrZvpSi0NoOxaToaVtOy3UUcbo2j4LyMu/WJWq73RC002v8ApX3286mvEVl0no60W20VVylORI8ROqnRQtHGSTNVu7oBO8DywSLm9JX3T1wiqdI7I6SoFXMHwllJK19a1vEb0srA6Onzx9GMvlA5mJ2Fr/u0Ovdsmqn3TajqP6FW6nJfHBv77WA846eIOIL3HnI8+kcuc5zueVQZcKqHVE5DpnbNvo0nm47adQ8SFjytfVxiKEFrOZ59wHb1qSa31zedqlwtWhNC2Cop7BbnGK02inaXyzPdwdPNjO/K4DifgtGcc3OdWNNDbdg1hq7Tba+nrtdXmDqK+rpyHx2qB2N6njdx3pD9U8cOGBlo3nzOqnOmbDJZtmdNa7BTVI3J6nedJcatoAyZZ3DLQSMhjd1mcENzxVqK6kuNHNmuglY+Qb2Xg5PtP/utiwxtK6c1MkwlnvyOje7rPdoOV1H1EMnRiAMyxjlzPeerr5nmvO9xeS88+0+K4qJJUFN6nUqwiIi8RF79P0sNdfrbRVDd6Koq4YnjvaXgELwKb6RGdU2j+/QH9cLFr3FlLI4eyfkpHB2NkxGBjti9v9wWRJxnAAAwDyQoO9F8fPJJuV+nLAGtDRsAiIu+hpKm4VtNb6KDraiqlZDEzIG89xAAyeA4nmjWl5s0ar17gxpe7YanuXncWtG8XAAc89i5cyGngeBwe7vWfey3o96S2U2qlN2tNuuGpcRzV1dW9U+OjLmOadxzuDqSQB7N5rHSNeQS3A9Gdag2WaS1tZ22S9WK2SQvawsE46iaExwNYHPlZHFJHFTRlgceO/K4NO6Oezs4YmMYc54Duq3zXHajyy4dHVmKKFzogbZ72v2htturUX32WulFWO1bZ3V7MdZ1WmZxVuperZU0E1XG2KaopnjLJXxgkxk4Pouw7hxA5Kjlrc0LoHmN+4XWqKtgxCmZVU7rseAQewomGnGc/GiK2N1lac1Zfa9BHFqpkrAAZ6Zjn47xkfsAVDqvtsQHnHTn8FH7SqBX1Rwg90mB0znG5yBfnb5TYmw8XV7GDTpHfFERFsi0RERERfTmiIuVLZUWJfTU1XJJdLBoqKbEMMT7jUMzwdI7McfxASf9QWWiwJ6VtfLPtqucTzvNp6amiYPrRuB37XFbLwpT9PiIPsglc+8pdQ6LAnQs3kcG+G5+StY1/iuZlAGT/wCy8QmxzKn+grZHqPW9hsMoDo664wQyNIyCwvG8PiyumTNEcZeRtr7l80Q4W+rmZC0auIA8Vm30ddnzND7O6SoqqcMuV5a2uq94YczeGWRnu3W44d5Kx86V+0OXUWvjpWlnPkGnh1ZYD6L6hwBe7xIBDfDj4rNCpmit9BLUSndjponPd/wtbk/sWrq832qvt3rr5WuzUXGplq5T99I8uP7Vo3CtOcTr5KuXUj5k/kF3Xj6P0RgdNglHo12htzDbX97jdRdUKe7PdLz6+1taNJQHd+iFSGSOz8GJoLpD7GtcqQdU+KjS3Wtt9Sytt1bPSVMRzHNBIWPafBwOQuiy0T3xubGbEjQ9XauUYdhzIpmPlaS0EXF9wOV+1Z59I/atY9nWgKnTFFUxvvV0pjRUtKxwLooi3DpXD6lobkDPMkdmSMCJJMDHdy4qFZc6qunkqq6pmqZ5Dl8k0rnvd63HJK8T58dqxsDwFuEQmO+ZxNyV0DF6+biGqbM5mVrRZo3sO/tUZpVdTop62n0ptts0XXFtJfg+01LTyIkGYz4ESsZx7ie9Wfml4Hivdoe6PtmvNO18bsOgutK8ceP9K1TWIUAqqCaJ2xafl9Vs2A0T4ZmPaNQVtuauS4R8RnPPiua+cSuqBERERERERQIzwXTVSSQU8ksUL5XMY5wYzGXkDIA9fJd64uPDIOMLw73KLCvWXS06QNbZrnPQbEdQ6LjoRK581Vp2vuFQyJmS6TPVMpm+iC4EveOXA9uuHbhtR1RrC63CXUu0Gsu4qagYdS9eH1zCcjrZZd2TdwBiFjI4mk8GnG8dmfuhu3c7L9lU+mbbJGLrqSOWFu+4EsgDfTdu+0AcO0+zUVatGaj2o32jttDRukqaoiV7m+iI4xwB4dnDACzq/iGOWLoqSFsDfvZSbnvJJPhe3YrkVHcjMS48gVTtLeGUszvJqSKnhaDiNjQOzGMDl45+RVNTaqpZaY0Mroo39WHddvcN4dgV0br0P9WUFLHHb6R1S3cy97Muc4+PaFR+ruj7qjRMbXT2+UteBk9UXNB7hw5+PJauyrpZiBmupB9JPFq5qpCnutsutbVGNrn0zY8OnfnhIObjk9vDAGPUu5ldNR2V8dQ0VMLXuZLDUM3gW8PSB5tPqIUINI9YIYWW2WGWGTrXFzC4vI5YA9H4wV13aa8RNrIqq1zNZKQIy+I4x+wH96zOka0jIbHvWMYnZbOFwqcu9DTUwgqqIkRVAJ6s4JjIPwc548CCpcp5bZJbtR1NOWEOeHbu80ElzRlvx4wpHnjg810nA691XT2kN3N0K1yug6GS7RoUREU5aywkU30h/Wq0f32H/GFKFN9If1qtH99h/wAYWFiP+zl/lPyUpgf/ACdP/Oz+4LIocvYoKI5exQXx+7dfpuN05ccZWQfQt2cSav2nHVlQCyg0tH5SHmTqt6qdkRtY9zerLgC5244gHDc8CcY9kgAknAxknuWzboxbMH7LtiNtFVmgu1+/2nX9c51O4OeBuxuZK10ZLWbreQzjmOa2Dhui86rA9w9Vmp/Jcx8rPEQwPAXQxm0s5yN7vvH3ad5U417XwUNLJX1NLNI2EmeSjipjvuIOZWCMOHVuezLHtL+plDmHeaA8mc7HLfHqGwPu0zXHq3sjwXCQSmPeHWt3Zpo91z95+Wuy8gGQZAxajb7ruHROmay4yUvk88DAael6+RrTN9Q0Nhlexga5zRgODSd/I4MzWnQa1v577GY3VVYZrhbKx9DW5Ls7zWtLHYPAZjLODQBkHtyt8injdW9ATra/1XzPU4PVRcPHFWNOQPDb99z+irH9OHZ6ai00+p6aAtlskz2vlLomMmjlwJRvu+nVU4eyNznAdWwOcBxysLOxbU9uljiuUVdQ1PVwUlwgfTVtTJJDStdCWkbj6uZrnNZgv+l08Zd6QyW5OdX2o7FUaavldYaqohqJKGd0XlEO8Yp2jlIwuAJY4YcDgZBBWncVUfR1HTgb796795FseNZhTsOkOseo7jv7j81LURFqg3XalZ3bF/WKn/uo/aVQKr7bF/WKn/uo/aVQK+puDf8AgqX+QL88PKl/5hX/APsKIiLZloKIiIi+nNERcqWyosAulzTyUO2u4zOBAqqWllb98Nzd/a0rP1Ye9PPSc0U2nNf07D1AElpq3AfBdxkiJ8P6UZ9Q7VtfBkzY8WYx33wW+PL5LT+N8POIYUQN2kHw2PwKxbNUAq/6PtVCdtOkhMRum4tAz9dunH6Vag1fiptorVrdJaxsupnDLbZXQ1LxjJ3GvBdjx3crs9ZhjpaSRjRqWuA77LkmGYV5vVxSuGjSD7iFtK1yHu0bfRETv/Q2p3cc89U7C1Umr4c1tmhlo7tbmTxSMnpayEOa5rt5skb28CCOYIK1U7TtJVmznXt80ZXNe36G1b44HuH9JATmJ478sLT68jsXPfJtkkknpnfa9U+7Q+666XxthprOhmGwuPfr+SljqrK4Gcc8qWeVZ7VDyjgeJC635nbktOhwi2wUwdUDOCV1Pnz2q+3Rn2cUApLttz19RMOmNL080tLFO0GOtqQ3HJ3Nrf0vIHYQsea2uE88s7WNjEr3PDWjAaCc4CjqSpjrKqWmiF+jsC7lmP3fAWJ71stLgLmNa88/kF2TVHipns/pX3faFpm2RDefU3ekjA8TK1UzLVZ5c1eroY6Lm1tt3tVxMZNDpqOS7VLiPR32jchb6+seHDwjKzMXezD8NmqZNg13vtp8VvuG4T0TM5Gy2bR/BA7gFyXFncuS+WVnoiIiIiIiIuD+DSua65v6N2OeDhUv+yV6FqK9011BV1e3uCzVheKO22uJ0UXH6bvSZyc+O8e7A78gdHRJ0M6KzT6tq42mru0hMQwPpUYzutBPZxJ9qpb3SG7wz9Ki62qetMgpKO3xVZ5lmYut6tvcMPB9vir7dGym8m0Ha6mWNkDJohLG08Nxh5Z9nFati7yymyjmp/CWZpsx5BX30ta6ZrBFNECQMAkKoKzSOmbxSPo7jb6edjxgh8YKllorLeSC2riye5wx7FUGAGh7ZGnJw3jzWrRtc3dT8ji4q2Nz2CaJhqvK6S1U8ZbxADRjHdhW42gbHdI1kcsLbPTtLmHec1g7lkTXvw077xjtGe1UDq+Nr6aWQAE7uOAwqnTSNN2kr1rGOFnBan9p+mrjsz1tWW0wOdTU1UHs3R8KJ43mk+o5bnvCpK7weT3CUNaQyTErMjm1wyD+lX/6VFVDLrKtADd9kUcJGOPDGP28R4rH+6uLrhUEuJw7dGT3DGF2bgyR8jjfm0XXO8bY1hLW9a8aIi6CteRTfSH9arR/fYf8YUoU30h/Wq0f32H/ABhYeI/7OX+U/JSmB/8AJ0/87P7gsihy9igojl7FBfIB3X6bjdXU6MuzA7Wdsdj05NTCe300ouNxa+Nj2GmhIc5r2uIDmucWsI4nDuRW0bXldSWe1tb1gpoYY/6RkxhELWjA9Jrg5o5cdxzRg7wxlYx+5s6RtkGkNUa4LJDcq24Mtw3urLWQxMDgWYG+0l0rgcnB3W4HDJvxrzS9x1bdTR3JxhoA5vlLRLKzeZ6bd2PJAAdE6Ql8ZbIx7W4PHI6bw7SeaYd0rR6z9fDkvj/yrY4cb4odSSHLHT+oO/dx8dvBYDdJ/VF51zqxlts9vrai20Jm3vJ4ZTE6ZjgxzcNJjIjJOCC7dE2N/d3Wtq73P7aRLozavW6Au0joKPVMAayOXLTHWwhzmej2FzC4HI4lrFfnVGgqGyWykY23QzTMp5InukMTuve4UDXPkl3XvJL3cXYc4hz3nJAzjZ0i4GaE1XYdcafijpL3bLiCypEUkPljonO4lpDW+i+FweGbm71uMOyHKKqaWTD6v0gXagi/dzW54JjNHxTgh4TbDla9pDTfXOLlrj4j9BZ07XgBuS01YaOTdIfJH9LnfjPBrmxSSuDcgkMDebfS4kLXf0l9LmmvtNqihtd3igqGGnq5K2lu53JWk9Vv1FxYHPc5oe0BpwBTnvWbWpdpNv13s8sOuLX5IaW+UcdS0VskbYIJ93DmTAyRlzWneDslwHVjdBcQsadrlopL7pm4Cns9vlZDQSVTX0FJTyz07WsDxJKGVDHNcAImhwjdgPqTyAUjjjGVcBa3Yi4+a1Tya1E2AYmx0otZxY4WO17EaHkdfC6xRROGMg5HYUK5taxX11torO7Yv6xU/wDdR+0qgVX22L+sVP8A3UftKoFfUvBv/BUv8gX54eVL/wAwr/8A2FERFsy0FERERfTmiIuVLZUVFbX9n1NtQ2fXjRk5YySthJppXjhFO30o3eoOAz4ZVaqGCrsE76aVs0Rs5pBHeFRJG2VhY7YrTpfqG66cu9ZYL7RyUlxt8z6apgfzjkacOHiO4jgRgjgpa6sKzy6YfRkqdfUj9pegaIu1DRREV9FG0ZuELRwc3/etAIx9UOHMBa9ZZ5GSOilY9kjCWuY5pBaRzBB5HwK+p+EMWpuJqITxH1x9tvUevuPIrUn4AIpCGbclnt0MekbaLhZqTZDq+5NprlQtMdmnndhlTCOUG8eT28mj6po4cQrndIroz2bbdSwXe3VjbVqShj6uCrLS6Koj5iOUDiQDxDhxGTzBWrqKsfG5s0cha5pDmOacEHvBV9dnPTV207PqZltmulNqS3xgNZDd2OfJGB2Nma4P/wCou8FqmOeTyvp6/wBLcPPDXk3LTpqd7HYg9R96nIo88PQTtuFNK/oZdIihrzSwaTpK6IHAqILpTiIjvw9zXD2tVytnHQXraORuoNtOoqChtlIOvnoaSfOWt4kSTnDWNxz3eOORHNSSf3R/Xb4Cym2dWGKYjAkfVTPaD37uAT8asftQ6SO1ja258Gq9Subbici20TeopR62A5f63ud4K8zD+N8T/wCnqejgad3DU27LF2vuVcGEQNddrVdLpP8ASIsmsKan2U7LWMpNF2R4YX07OrjrXs4NDR9iackfXHDu4rHCeq4niFL31XdnkukzOPwuXet7wfh6nwimFLT3tuSd3HmT2krY6PBnPdnk2XqkqckDnlbLuhTsZqtmOzIX2/0nUXzVJZWzxOHp09Pj6TE7udukuI7C/B5LHjob9Fqt1vdKPapr23vi09RSCa3UkzMG4ytPoyEHj1TTx++I7s52Gsj6sBrRwA5dy4/5TeKYZ/8As1E67Wm7yNrjZo7tz22V3EJo42+bw+K5tUVAA9qiuODQKIREReoiIiIoHkuL8brg7iMLlyXB+d04VLvslOa0ndPbZ7eaTph6ufc30zINQVFFcqGWScNEkJpqeExAngJAWPO6fqRvcAQqht21yTWDZtG2+x1unbNYOrjudVWTtjc/DSGRNY3J44BxniC04weN5unlYI7rtWp7rUbuI7/ZqVsbgODRub7uPHJaez73uXgpdEWaXUT7lc2xQUlzbEOun3QxtRHvBu9nhlzXBrSeGWAcyFqlZVMf9ptyL2Wy0lPIBobA2uqAp7joJ1dFBYdoVbBdYfThpRK944AuJDg3dxwOQXcMcgq/0J0gvofXVWntRw6qra60xiVrLZp6tr8sc3LJHOhjcAx3HBzzDgcEEC48WhrPaqN1xu15s1HRxRuJmbSU8bgzHH0z2HJHtUn2O6Zlk1lqPVTauZ1PfWx09tiezcdDRRNd1eWjABc98juXwXNzg5UfJPE9pBb1dikIqaRn2XK1t36QupdaSSDTV/8AoJboHmOetrIXU/VHhlsnWhpa4doxkduMhSK4682kUNZFX2bWdDqyKnJNRHBWMd17AcOawFoY447nAgjjzV1tnmi6GC/al0Ve7nB5W+61Fyt7KqnikZJTTO3yzDhl27IX5GcgFvIFctcbHtNUMT7xUUNronUo6wTUNK2mwe8uHZ6vFVdPDGDHl/XeqXU8z3Z82362WBe2/U1k1ptEqbtZXVbaedkEdXBPA6KSmqmuc17HNd2gNBJBLe4q2F1GLjUt3t49Yck9pWTGtNmFr85Z77X25zY22qv1FXAHq89XIXs6wc/RjIyOfA8li/LNLVSuqpsdZI4vdgYGSc8B3LqfBQa/O+PQCwWlY8HMcM+5XEjBUERb6FriKbaSONU2g/hsH+MKUr32CrjoL7bq6ZwEdPVxSvJ7Gh4J/QsSvaX0srRzafkpHB3tjxGB7tg9v9wWSPZhOxMh3EYweIPeEXyC4FriCv05YQ9uYbFXh6N/SNvvR81DWVNLb2XKzXjq/olRk7sh6sO3HROPBrvTOcgggDlgFZUw+6Q7MXxxms0FqFkjmxmUMMLw1xzvgHfGQ0Ywe3PZjjr1RS9Hj1bQRdDE71RtcLQ+IPJnw9xNWGvrYiJHblrrX7+3ldZzX73QDZrdaV9MNlt5mY8AOjlqY2h7XMMcjTg8Ppe7g9pPZgFYq7Wtrl52sXtlxrqVtFS07Q2OmY8kPeMjr5B8EzOZuh72tGd3kFQaZVFbjdXXtySnTussnh7yfYFwzP5xQxnPyLnE27tbK8WyPpD3PZ5px+hL1QPuVg8q8tpnRSFlRSSkjfaw5xuPwcgbrmuO81wcARKNoG2Ks1XY6PT1G3+bNp2x1Zmp2taXtbHuOhaXOMb24mYXhw32OGRkkq2meGEVj0jUGLoS7TbwUj/lLCW15xERf6hOY9Rd7Vtr/nruokkniPiUFEcChPFR/NbKLNVnNsX9Y6f+6j/E5UCq32uVUVRqlkUTsugp2sf6yS7H6QqIX1Rwg0swOmDhb1Avzt8psrJuLq90ZuOkciIi2RaIiIiIvpzREXKlsqIiIi4loIwscOkV0NNIbYJZNU6ZqW6e1Scl8zI801cf9+wDId3Pbg8TkO4YyRUCAeYUjheLVuC1Iq6GQseOrn2Ecx2FNlpy2nbEtqWx+uNJrjStXTQE4ir4Gmajm/4ZmjdB+9duu8FQPlQPwSTx7FvGqqOkrYH01ZTRTwyDdfHIwOa4dxB4FWs1T0U+j7rGV8962X2kSyfCko9+jef+aBzCu1YR5aGhgbi1OSeuMj+0/VZcMsQ/+QLUX5STwbk5URIScZ5LZ0/3P/o3GQuZYL0xv1jb1UEfpcT+lVPpvob9HLTMjJqLZtSVUjDvB9wqZ6zj34le4D2BTlR5YsBaz/SikJ7mj45j8lIsraWLVrStYOi9Ba12hXRlk0Tpi43qseQNylgLmxjOMyP+DG375xA8VmxsC6BFHYqyl1XtmqILjVQkSRWSndvUrXdnXvxmTHPdGG557w4LMCzafsenqNtvsVoo7fTM+DDSwtiYPY0BTDdHcubcR+VDEsYY6no29DGeo3cR1X0tfsHiseoxSSQZYxlHxXTT08FNFHT08TI4omhjGMGGtaOQA7Au9QwFFcxuTuotERERERERERERQPJcTyXLmmAURa8vdAaeeyappJJH4F2vloqab0c/BDY3/pj/AEqNVfrNbbHVzXxtO2go4BLUOmYHDcHgeB5YV1/dKdER3To9V+uqCnd9FdJ1lFWxyNzkReUMY/PeG7+/4bpWvLaHtrZrPZ7XWKOTq5X0UEjZGvAL3RStc4H2A+1anW4c98oA2v8AOy2OhxBsUdzvYe8K7l62/bNILbNX02m4I5mt3aeOCmjzGTyfk59IDjwGOwZKl+hunBBablPVXfS8DKamgLGOhkPWHAPHDuHxHPrVlNBdH3Ueso7bV1GoqOnoLhF1sxkY4GB4bkNIH/KM+Kv7a/c/rVPC2rq9qtiZA9+GiUAdZHk5PwuYwOXeqDBQQ3Y8n3q/01a4ZiBbuVM2PpTaN2ka1qIdU6dFDb3y5pnk4kaXAAOz2cB2FXet2o9m+p2upqKlppqqjaJWF1TLIS0kgSNa953TkHlyI9qxv2k9Em86Prqd2ldT268B8r+vkIcyOBjcenvZOTxIxnsCpDZheq3Zxqm+VmpZ+s8jxSM4ENfwD97HYBgcO3K9kooZmF1O49yqZWTwkecNFld/ateKF1btKy4DyXQM9OwZxh84maOfflo7+IWDTR6ldbaLtNqbtHqIwx5dqZ9PBJI4nLYICHkD1vDfY0q1GcLqXBdFJSUTnyfeOngFpePVTamYBo2RERbioJFFoLjgdvioJzGO9LX3QK7uz3aFR1VJBY71OIKqFojhlkcA2UDkCTyd2ceeFcMOB+C4EYzkcljAXE8166e83elZ1VNc6qJn1rJnAfFlctx3yZwYjUOqaOToy43IIuL9mui+huDvL5V4HRNocUg6YMADXB1nWHI3Bvbr361kplOPcVjh5x3/APtms/HO/ennHf8A+2az8c796gf2TVX4lv8ASfqty/eRw6/+xf8A1j6LI/j3FOPcVjh5x3/+2az8c796ecd//tms/HO/en7Jqr8S3+k/VP3kcO/Av/rH0WR/HuKZ7wVjh5x3/wDtms/HO/ennHf/AO2az8c796fsmqvxLf6T9U/eRw78C/8ArH0WR/D1KndV63tGmKZwfO2etcPpVM12Tnvd9aPWrIv1BfXtLH3isIPMdc7968LnvcS5zsudzJ5lSWF+SuOCYSV02do5AWv43UDj/wDiJmqqV0GEUvRvcLZnODrdoAAF+q67rhXVNzrZ7hVyb89RIZJHEdp/YO5edBw5IuuRxtiaGMFgPkvmmaZ88jpJDdxNyTzJ3RERVK2iIiIvpzRFxcVyrZbKo5TI715qmppqSCWpqqhkMMQ35HvdhrWgcSSeQVpLx0n9AUlyFosVPc7/AFO9uj6H02+HH73JBd7Ar8FLNU3MTSbb9ijMQxmhwoA1koZfYHc9w3KvJkd6ZHerV6P6QuidVX5ul6mC4WS7Pf1cdNcYOrL34zu5zwd4HGexXRy3OMcSqZoJad2WUWKuUGJ0eKRmWjkDwDY2Ox6j1FdiKA5KKtLPUMIBhRREREREREREREREREREREREREREVN7R9G23aHoTUGhbuM0d/tlTbp/RBIZLGWFwB4ZG9keIC+e/WmlLtst2g6g2bargdFV2esfRyF4IJGQ5jxjhh7C12e53YeX0YyHAzjsWoX3SDZr9HdsOodT2iEMuMT6bLmgDrAKaHgfHA4LBqZGwvGbmsiGMyA25K3GzjbHPZaKnfRwNnfb4o4pYcYa9oADTkDny4nPPCvO/pu09qtcsEWk45jAwdZmQAh2eXAetYL6Wu8zbi2kkl6moMn0yMjhusxxPxE+1VxS6ms7OtdNTQiXDmVDiwO3fRODjPPh+zvyo+agjc65F1Jw4hIxmQFXd2jdJi6awpXVkFC22UrmtkDS4l8gcTwJ9h+LisbNVX99xr5K6Jxklr5C8xh2fpm6B7cDAGVN9S6ppKqHyVzH7zSHwDA3Tz3g4fW54+1e7Qmgfo7pjU2t7ix/V0lnr5beMFo6xkDy2TwwW8Fk0tPFDYEWuQPeVjVM8tU65N7BW2uMxkmFPvZbTsEYwcgkcXH2nP6F40z2hF2WnhbBE2NuwC0qRxe4uKIiK6qURERERERERMjmVW1No6KbRJr2WyqdWugkuDanDurbGx7WiP63JG+7v4LCrsQgw9rXTmwcbKYwfA6vHHyR0guWNLjvy5aA6nl81RPIZPJFXlBoaA0Vxtjp4p7w5lGBF1ZDacyvGPT7Tg8cD41ys2ira2qNa64RXC3M8rpZ3dSWmKeOFzwQCfSHAkHhxCjX8SUTGvdcnLfkddAdOWvLr5Kdi4CxaR8TCAM+5zD1fWLbHXcEa225qgUVYUmz6Wt/ndJcXTW40zKhszYTvneeWhu4Tzy12eOMDxVOXm2S2a6VNslmildTv3C+I5a4dhHxrPpMUpa55jhdcjfQ/q/X1KGxPh3EMIibNWMytcSAbg3tzFjsbaHYrxIiKQUGiIiIiIiIiIiIvpzXCQgDiSuapraTe59N6Cv8AfaU4norfPLEe0PDDun48LlscZleI27k296n6iZtNC+Z2zQSe4C6xo22bQ9Q7U9eM2VaNqHGgiqvI3Bhw2pqAcOc8jnGzB4eBPHhjIPZnsq01szskVvtVMyWtc0GrrnsAknf25PHDc8m5wB3nisb+hxY4btrm8X+ow99noWtYHccSTPI3s9+7G8f8yzF4AcAOPip/HXCiLcOh0a0C9uZPM+C5vwFRHFjJxJiHrTSOIZfXIwGwDepYpdIqAX/bdpey6YjzeGRwCZ8Q9JjjLvNJx9a0F2e5ZUsdutG84ZDQOfgpPWWfSdjqq/W1RbaKnqmwGSrrzEOs6pjeOXc8YH6FinRaj110otpc9mtl6uFk0xRAzPbTuLeppw7daXAEAyvPIHIGDz3eNMULsWhaPsRwt1cdd/1oFmOeOFq6aUDpZ6uQZWN0AAFrknbTUlZjiUYJauXWY5j9KwM15X7QaTaVSbD6PXV5q6O3XKKjopDUObNuS7rgZHNI33MD8ezkFd/pq6wq9M6K0/Y7Xd6qirLjcDI808zo3vgiiIdktION6SP2q5/luXzinpxICZtRpsOs+CkKbi01FPUzmAt6GwIJGruYB7Dz59SyT64DmOHf2IJc4OFhTX7TdqOvdkMFr0fepKS36UsEdVqS9vmc2WonLN5lKx49LeDCN4jiTzI5Gt+gxqLUV60zqWnu9xqquko6yEU/lErpCxzmEvAJPLg048VVVcMzUlFLVyPF2EAt56mwPZfe3UpGlx9tXUsgbGcrhfN22uRbs2v1rJ8S5OBjxGeKtDtR6Tui9l2o3aWq7VdrtXU0Aq68W+ESNooCRh8hJGPhD4x3hY57Gtoeo9e9LxlXc7/WTUslZdBT0wqHdS2BkUoiYGA7uA1rTy5jPNeLpFVV92YbTdpjbnb5ZKXaNaYqe1V724jb6cAkYXngA1rZAR4M4cciVoOFI48TbQ1rsxLGvyjTcgEc/si57bLLZVzVceaEZfWtc66D6rOyy3ug1DZ6G/WmYT0Vxp46qmlHJ8T2hzT7QQvYJWkkDGRz4rCDa10rbPorZpYdlWxO/Cvr6O201vqrxTscWwRRxNYRASPSkcQPSGQBnGSQWyXVWgtrXR+2RUW2d+1K8jVF0nZT19umqDLTxw1MbwB6ZJdMw7rs8gQcDhk40PB0r2sdPJ0Zldlja4G7tdz1Dtt4KYiY59geaz6Dwc47FFYtdAWLU9z0Bf8AWOpL9cbiLvdSyn8rqHy4EbfTcN4nGXOI4fWrKULX8Xw/0VWyUWfPkNrjTXn7jp4I9uRxaVFERRqpRQ49yipbfdRWHTFvluuor1Q2yjhGZJ6udsUbR4lxAXhRTEnC4uka0ZcQAOZJ5LEjal7ops10tNLa9ntrm1VWDLGVReaejDuwhxBfIPUBnvHNYO7U+lRtm2sV8lTqDV9XS0e8Wx263udTUzG8vgNOXetxKozgmwVWVbWb5t22V2yGvbBra0XOst7uqmordWR1M7JexjmsJ3Tw+qxjCwi2kQSbVL5fbxXwiN9fUGQNPEtbgBrc+DQB7FTHRi1Db9Q6HqdLvaxtztNQ9+BwMkMji4P8SHEtPgGq4tPEKa5ywSR/VczyWmYnXTSTmN4tl2W0YfRxxxdIDfN8FgttZ6P1db7jLXUNLLE6QndljGO/GVamp2fbQI5HwyQTSZcB1u76WMY/y5rabqDRdHfrVIHU7XF7M5IHPCs1VWamlj80jRt+iDJCwu6klxiz8LOMeHNXafF35crlRLhrHO0WIOkdiV51JcKX6KQOkDcN3W5GRn6o9p7OzkFlN/JjDbNn1x0pbo44H11sqKOMDgGukic0Z8MkK6Wk9m1HZ6VlSadseR2jiVyu9Jv1bWsaAyNwcSeADQeJ/asebEpJJGvb90g+5X4aJkTCDzWsK/aN1JpiWohvVrkhNJN5PUOaQ9sUmM7ry3O6SOIzjPZlSbhyB4rKza/q+ivutq59pii8jjjbREgZFQG53iR2jJOPABWyuehdN3tp6qA22oJy2WnblufvmEgEerdPiuv4ZxSJomurGZSRy/MbrRKvDAx56F1wrQEEc0VZXLZZqik3n2+OK5xt/wDp3en/ANB458BlUnU0tTRTOpq6kmppWfCjmjLHg9xDsFbRBVw1IvG8HuKi3wyR/aC6UCHgUHfnGOKyO9Wxvqq6dsM2ustFLfpNA3NlvrYGVNPUODA2WJ4Ba4elnBByFIrhoXVtrp3VdwsdRBCxwa6RxbhpPAZwVlrtW1Vq207B9Fy6VFRLVNtlshcyKm68iPycZ4YPcOOFjHftXbRLnb5LfqCCohpKhzWPdJQdUM72R6W6MHgtObimLzTnIIxGDY3cc2lrkDn2LqsnDXDdFSDzl07p3MDhka0x3OwLidO1SvVehbzo+KlluphIqshpidndcACWn415YdV3+GpiqWVhzFAKZsZb9KMYZubpZ8E8OfBXC11oGthvel7RctT19ey61LqRr5wPpLd5gy3v+F29yn7+jNBTXEy3TVraO0NY0iWUMjkc/JBb6R3QBw48efLgrEHEdA6jidijw97sxFmGxFyNAbm/zWRX8EYzBiVQzAY3QxRmPMHStuCW5gS4EC257L23VpjrXUJpWUvlUbSzqgZmwsEzxGQWAvAycELs8/NR+VRTtmp29SZHdW2lY2OR0jd17ntAw4kcCf2KtNHbFIr1bqzVWptRstGm6WeSOOpdul87GPLd8E8GgngDg5PILv1dsRtUOkJtd7PNVi/WykBNQx7W77Gt+EQ5uBkZBLS0EDjlUy4zwzFP5o5o3yk5DlzEfZLrWuRp8FgNwrjKSm89ErrWvbpBmLWnRwbe+UHW/ipRo60a31Z114pamlhoiBSObPC10L2tOQxsQGMAkceHEqXxbN7zeay8GOvomvts7o5MMLA87u9lrQOAx2LImm2d6Qo9lEtnodaQOtBZJm8smiDRl+Sd8Hc58Oat9sw03SRW/WFLbLiLhS0NZJHHUscHCdoi4OyOHxFaXDxeXmsq6KzBG5rGjoz9nMB9rr7NwumM4Ooav0fh+KF0hkY+R7ulv6+QmzW62F/vDfZY/wDsKjgK5OldklPq3Z9Wastl0mdXUTZC+lDGlu8wb2O/i3iobGNkP8qdVc5Ku4zUFutsTC+eNjXEyPzhvpcMBrXE+zvXS3cU4bFTzzyvsISA/Q3B5C3O/Ky4g7g7FDUU8DIxecFzNRYgXvc30tzurb47lBeq5Q0UFwqorbUPno2TPbTyvAa6SMOO64jsJGCvKtgjeJWB456rWJYzE8xncaIiIq1bREREX05qk9q1nqtQbN9SWegaX1NVbZ2QtA4ufuEho9ZGFVi4vGRhctjkML2yDcEH3KfqIG1ML4X7OBB8RZYWdCXVNBTa4vdgqJdyS8UEctNk43nQOcS3xO7KT6mlZocOZ7O9YmbXeivrS261dtG2J10UE75/KzQiXqZKecklzoXH0S12T6JxjJHEHA9ltuvTlvUUdhmtFktQeNx10miibI0fXHde5ufVH6luWL0dNjUja+lnY0OAzNcbFpGm3MLT+HWzcP0pw6eJxyk2LRcEHXwKqLpZbUxadMVWzrTpfU3i40zqivbF/wCToGkb734+DvHDR4E+Gaa6GNzsFg2eay1XdKyGn8mrmuq5pCBuQRwhzc9uPSfjvyrr7Odgll0pp67Uuq6p2pb3qeEx3y51Od+oDhxjZkktYOzjnIB7gKO010Kdnun77JcZ9Q3242wyNkbaZ5WNgk3Tlom3Wgyhp5A48cryCuwmLDZcMLiNQc4F89iLi2luy/LXsVb8Jr5cUjxUgXAItf7IN7d+9z2qxewq+N2p9Khura5u4yoqay7MjefgNaxwiZ62gs4/eqnulTtTh2pbWBa9NSiuobTi1UJidvNnnLvpjmHtBeQ0HtDQe5ZN6n6GOz/UmvKnWkN/vlojr5Hy1lBb5mxMlc/4Ya/d3mNfx3mjOcnGFMa/oj7NqnX+ndc299XbWadZAyO1024KaUwkmMuy0uHE8eOT3g5zPQcSYJBXMrhmOWLK1ttGuA2vzudL7DfuuwYBIymdTPt6zy4nr7fzVBbZ9Kt2I9D92lKHc8tq30cFxnaP6WeWRrpner0S0dwx3KlNhu0C17O+jWYbLXQVOs9ZXSpoLPbongzvqXEQscWjiGMHpFx4cR3jOWG0jZ1YNqWjq/RGqIpXUFwa3efC8Nlje1wcx7CQQHBwBGQR4K2mxboh7ONjF5dqejqK2+XvBbDW3Dc/mzTw+lsYAASOBccnBOMA4UNR47h78Ikiri4zGTpLAaP6gTyF9+dhop9lAyOQSN5DKO5Yl7JaH+Rbpf23S+obkyOO2V0tFLVzkRtc2akduPJPAA9Y341kxYqSi6Su13z6qadtds70MZaKztmjDoLvcXcJZ913B8TAMDvIB5Ag1Btb6JGzrbFrii1zqKquVNPFG2Gtp6SRjWVrGfADyWlzSORLTkjhwIBV3rDp60aYs9JYLBboKG3UETYaengaGsjYOQA/z7c5VeP8S0deyKspwfOTGGP0sGnmQeZPXyBPPbNjijhbljC15baaK2z9Nej0/cKWno7PT3SzU0MLGtjijgMcLiA0YABc5/xqvPdEtpFFNDp7ZXbqqN8tPN9GLgxhyY8MdHA092Q+V2D3NV79unRI0RtxvtNqquu9ysl5gjbC+qotxwnjaSWh7XA+kM8HAjHbleO79CvZNd9AHRMst18rNV5cb9JOJbjJUbu7vSPcMPaW4buYxgDGCMqYpeKMG6XDq2oLs1O3KWhvP273167Wv7lMQzUzHMkduOX5qU7I9bWvZBsk2JbP7bb219310Kd4p2Sbr4oqhjqqqqTwOQzfPDt78A4yUDsjgCrQ7G+jNovY7UMutNcLnf7zFTCiguF1mEj6WnH/AIMDQA2JmOGBx7M4V38YHJaDjk9LUVbpKVxdcklxFsxJJ25AbLAqXRueTHr2qPLiSpXqTUti0lZqrUOpLpBbrdRs35qiZ+61g7PWScAAcSSAF06t1ZZtGaduWqL9Vtp6C107qid7uxoHId5JwAO0kBal+kR0jda7atR1NVcbjLBZIZnG3WyN5EUEYJDS7Hw5Mc3HtJxgcBCGUXsFaDetZO7cPdHbPb6Wex7GLc6qrXZYbpcIS2OLvMcJwXHuLsAdoKwV1ptC1hr+7y3rV+o6651FSTIX1MrnAH71ucAeAGFTT5vKJXucPTxk55nH7+a6d/ce5rnDLCHDHaD/ANn4lTYk3XvYvYyfdkDpTndyR/kvOTlh4cHHK4vdmMvPYRn1Z4qDzund7OxegWRTzQWur3s61PT6ksU5ZLEd17XD0Joz8KNw7iP3jisyNGbRNLbTbe652SqYK1g356F7wJ4eziOZbn6ocFgu5zOT4w4HvXGGruFuqGV9vqJYpoTmOWOQskYfAj/vx7FHV+GMrfWOjutZ1HXPpfV+6VsusddvRGGUnhlowM5IAOB8YXirLdQi5iqjt7RKcFz8Dhg9+Fg9Z+kdtZscTImahZXRNBDWV1M2XLd0g+kPS5EjmpnVdLfbDVUpgY+y0pPHrIaBxcOPZvEj9CgzgVSDoQpZuL051IKzO1NcIbbaXXCoEcFNEMyyueAxjcfCcTgALEja9t6ZdhUaf0PUkQSZjqq/kXj6yMcwO89vZwVqdUbQ9f7QJANVakrq6FvFkL39XA094YOH6FJ6OnEWOtkL3eAwPUFJUWCMhIknNyPcsGqxQyjLGLDrXOJg3t4nj4r1Mw1wO6ob0TQXbvbwUS8kAY5qctc3UQvSyqfkhj3NxyxwC7ZZorpEae8ww1dMwHLZomvwMdmRkewqX72BkFQfOWtA57xwgBabt0KXCp3U2yekrqJ100fE+CoBJNA+TebI3/dudjDvvSSD2Y7bW1VNU0lTJS1dPJBPC4skikaWuY4dhB4grIaOvFOI2NySCMjvKk+0TS8OrbI+5UlP/taiYXtMbfSqIwOMfiQBw+Ic1s2EY8+NwhqtWk78x9QsKopA/wBePdXh2iawu2gdgmj9UWOmop55KC3UpbVMc9gBgGeDXNOeHesaNVbX9Ta4t8Vlu1BaIYBUMmLqWKRr94HgMukcMce5erV+3LVOs9A2zZ9cqC2Mt1sbTiGWCN4ld1TNxuSXkcj3K3cbxHI2VrRvNcHjPLIOVtdXhlBPOJxGC4bHq7VThvFOPU1D5lJOQzYtB0I7Vl3ti026l2i7JKZ0bga2+GPGOf0ynH/7KlOnHZZLFrzT1uG8GPs3XhueAcZ5BnHLOG49iobWPSV1xrbUOk9S3O1WSKq0dXeX0LIIZQyWTfjdiUGQktzE3gCOZ4qV7cNuurNvuoqDUusbfaaOpt1CKCJlthkjjLOse/LhI95LsvPIhRrMDp6eoikhGkeYC/br81N1vGlZi1JURVWjpiwmx9gWHwWStLRafk6NOnr35lz6pt8VBTumt9IDvl7OEjsDmWvBJHcMq0R25aJpNH37TOjdmNbb6esppmT7kjXRxPkZ1e/JgcOwexUjsr6RG0DZLRvs9lmpbhaJJOtdQV8ZdG1x5mNzSHMJ8CR3gqY7SukxqzaPY6jTs1jtVtoqvBnMIkkkcQQeDiQAMgdhXP3cGVDK50MsHSwukz5ulc0DW+rBoSOS29/HUE9G2aOfopmx5MvRNcTpbR51APNV1bQD0TKrdHAUsvsHlCj0WaA12z7Vm60uLal3ADJ40/yKz0G2DUkGzqTZkyitv0MkY6MzdU/r8F+9z393n97yXo2R7bNT7HqqsdZKSkr6Ou3DPS1W8AXNzuva5py04OO3PsCoq+EMWfhNfTxNHSSzdIwZtwHA2vyuArcHGmGQ4rQVQJyxQdE/TZ1iL9u6rXof6oip9dTaKri19JqCDMQOCBUxglo9Tmb4PiGq6eq9HxdHDYPqmISRMrL/AHWopLfg+k6OUubEPW2BjneBCstsu84NsvSRtV6t0DLbV1t1bdJ20jT1dLBDul5Gc4G60N49rvEKtenTr9t+2jUehKCo3qLTEG9MwHINXMAXZ7y1gYB3Zd3qHxjCZsR4ypqBhsyVjJahm9jF9m/8xNvBY9Djxo8AkkJJMbnsidtpJvp2WJ7LrGnlgHmOYCgo57+fgoLu3auUlERERERERfTmoYyoouVLZVxc3PYobg5EDBXLGUwF5ZeW7Ewooi9C9RERERERERERERERERdcj91uf0Lme7wXlqDl4Z2gKzO/Iy4VTBc2WEvujm02pt9psWzG31T2Nry66XFrH8XsYd2Jp8N4OOO8A9i18Vc3WHfa4gdncFfzpw62bqfpD6jjbNvU1oMNrgOeGYo29YPD6aZFjnO9zS5zRvt5ub/mPFWqcercqpy6HTPiqY3hpAcdwnu48P3e1c6gN34nDjnI+LiP2FdEsgkZuOIJcMxnvPP2FdnWMlZG4DB3Q/Hr/wDdZFrKm67n8GSMHIhcz6bcnmAuI4gE9owQoNccklE3UHDlkc1wy3izsP7V2uc05zzXQW7uXHkTlF6uEIYTIwDl+j/vio9Xl2OPqC4uO5UsceG8N3/Mf5ruIB5oi4GPs5ZXaCWEE44eKgI8AuPJQe5pYSQOJ4IvFGNznv3sYAXc1wGcnOOIXWBujA7kbxPwccMovCbo0OIJHHJ5dy6JJgw77256pgIaDzJPL9i7wd1u9gnmVLpnnGOIc9wx38Bj/Lh4ovF6aWZ80xmLzutwxnj3u9p/Yp3b61zXMfDL25bhSBp3WCnYCTwDi0+HwR/3wHrU1owIRnA3sZ9Hsx2Lwi2yqurO61tcdp1TcKOBu5D1nWxNHJrHgOAH/V+xSNV5tdpOrvVBcW43aqjDHf8AHG4g/qlnxKgz4LpmGzdPSskPMf8A4teqGZJXNRERZqsoiIiIiIiBTzS+stWaFrZbnpC/VVpq6iE0756Vwa8xkhxbnGcEtaeHcpbdLncL1cai73esmq66sldNUVEzy6SV7jkucTzK8uexFZbTQslM4YM5Fibakdp3Vx00jmCMu9UcuSIiK8raIiIiIiIi+nNERcqWyoiIiIiIiIiIiIiIiIiIiIiIiKBK8T3fTC4nv4r2uPA+pSa61sNuttbcJ3hkdLDJM9zuTWtaSSfiWHVnQBXIxrdaTtqVf9FNf6nrTUGfym71j3SO4l2Znn/NUHLJJTbxLXSQ88g8WevvHiFPdTzPqb3X3Gl9Js9TLI5n1wLieHipO2UT/A3sN4Fva09xCvMHqhUleCokjDetYQ6ncckj6g9jvV8i64Kl3XMjPwmuewgdvJw9nNcqqEwb01KW7p4TM7CDzJClNC9wvvVFzgGxkgHxHDKrVKq5oBa3AGd3HNcXtxyXFjvRAyoOJB+FlF6DZRAPcVxe7sPYoh5aM9uVB+ATntReLy1YcYS5pO80hw9hyu6R/wBLa9gyHDIwuEmCC09owoUrwaJpPMDHt5IvbqLZn7m67e4rnEMuaOYyV52SOLt0r0RHD/DCL1enA7T+lJN3Aw718VxPAce1cDjtReEWUJZOrYWg8SOA9ilE9WGzhxJBYDu55AuPPHbwH6QvZJMHVLm5zuMJUsoQ19RNVvLnFr+rjaBkkjuHb2ovFM6brAA/dLGYJAJ9I97nHsXsgqHyYFM7dZzMuOB/4R2+teJsD3AeVYcDxbFyHt7/ANimNPHI7DXEBvjyb4BCipParTh1ptNYAT1M80Rdzzvta4Z8fpZ/SralXl13QPq9H1m47eNKWVA7cBpwfVwJVm3c+C3vh2UPog3m0kfmofEG2luoIiKdWEiIiIiIiIiIiIiIiIiIiIiIiIvpzRa/ffq+i99r3an+TLd/Gp79X0Xvte7U/wAmW7+NXKlsq2BItfvv1fRe+17tT/Jlu/jU9+r6L32vdqf5Mt38aiLYEi1++/V9F77Xu1P8mW7+NT36vovfa92p/ky3fxqItgSLX779X0Xvte7U/wAmW7+NT36vovfa92p/ky3fxqItgSLX779X0Xvte7U/yZbv41Pfq+i99r3an+TLd/Goi2BItfvv1fRe+17tT/Jlu/jU9+r6L32vdqf5Mt38aiLYEi1++/V9F77Xu1P8mW7+NT36vovfa92p/ky3fxqItgEhwwnuCs50o9YUmitg2sbtU1BjfPbn0FMGnDnTz/S2gereJ9TSsYJPdqejA9paNn21EZ77bb/41WI6WPunWyPbnom26O0RpXWtBDDXiurHXGjpIzJuMc2NrerqH9r3E5x2LEqI3PcLK4xwaNVYurHA4cOPEceKlU0b94PjcGvbwz2OHcVR8+3PSMhy22XYHxij/wD6Lo/lu0sc4t90BPb1Uf8ArV9rSBZUlVhM55YZHxPc0D0i34Tf+IdoVPQSBmoY3xStljkhcWvx2jgQpS7bLpou320V0B8Yo/8AWpRUbTrBJdYa+G31jGtDus9BgJyMDHpKrUKlXSjkBIy5c3PGcAq3Ldr+nW86G4/i4/8AWuY2yacH/p9y/Fx/601KK4Rdkc1B78jKt/8Ayy6c7aC5fi4/9ah/LJpzGDQXL8XH/rSyKupHdhK66N5xJGcABx7e/j/mqFk2u6dkBDaC48vrGf6lCLa5p2N7pPofcfS7o4/9aWRV4Rh+d7C76c7ziS7ACt67a9p5xy2guXtYz/WuyPbFp1jd02+5Z/8Atx/60svbq4znA8jyXU6UNGT2Kgf5ZdN8B5Bc/wAVH/rXXLti049hY2huTSRzMbP9aWTfdVbHNvzVMvLjut9gUdOQkW0zbvpyve7e5kAu7B6scSqDj2pWBrHN8iuGXHPBjOf/AFKtNC7WtitPBHDreTWkLIWhgjtNtpJS8DtMktQ3Hq3D61485Rf5L1rcxsqgjiaOLgSe1zjxXojaQ4bjWkerJVXWnpCdBa3xBtZoXavXyAHL5mUY3vY2qGF0XzpEdCuvicy06E2mUDi30XN8nGD/APlFYbqqQbRO+H1WS2na777fipJJRG50VVbJiAysgkpy7PEbzS0H2E59ix8lhfTyyU8rd2SJ7o3t7nA4I+MKpNd7V7cbvFU7ML/qinowSXxXRkWQOGMbr3g9qpC56viulfNcamJ3XVDuslLWhoc8/CIGeGTk48VtfDtdHS5mzGwOuqisRgLnepqV6UUs84KT7HJ8Q/ennBSfY5PiH71tHpei/iD9eCjPNZfZUzRSzzgpPscnxD96ecFJ9jk+IfvT0vRfxB+vBPNZfZUzRSzzgpPscnxD96ecFJ9jk+IfvT0vRfxB+vBPNZfZUzRSzzgpPscnxD96ecFJ9jk+IfvT0vRfxB+vBPNZfZUzRSzzgpPscnxD96ecFJ9jk+IfvT0vRfxB+vBPNZfZUzRSzzgpPscnxD96ecFJ9jk+IfvT0vRfxB+vBPNZfZUzRSzzgpPscnxD96J6Xov4g/XgnmsvsqncnvTJ70Rc7U6mT3pk96IiJk96ZPeiIiZPemT3oiImT3pk96IiJk96ZPeiIiZPemT3oiIiZPeiIiIiIiZKIiIiIiIiIiIiZPeiIiIiIiIiIiIiIiZPemSDkHiiIiEk8yUye9EREye9MnvRERMnvTJ70RETJ70ye9EREye9MnvRERMnvTJ70RETJ70ye9EREye9EREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREREX/9k=" width="304px" alt="adobe generative ai"/></p>
<p>
<p>&#8220;Think of these &#8216;controls&#8217; as the digital equivalent of the paintbrush in Photoshop,&#8221; says Alexandru. If you&#8217;re a digital artist fed up with hearing prompt jockeys tell you to get over generative AI art&#8217;s impact, then Alexandru Costin, Vice President of Generative AI and Sensei at Adobe, has some good news for you as we begin 2025. Get the latest information about companies, products, careers, and funding in the technology industry across emerging markets globally. I suspect this may be for similar reasons, that Stable Diffusion XL (SDXL) works best in 1024 pixel aspect ratios. I’ve found that limiting the expand or fill areas to 1024 pixels improves results.</p>
</p>
<p>
<p>The company sees this tool as helpful in creating storyboards, generating B-roll clips, or augmenting live-action footage. Labrecque has authored a number of books and video course publications on design and development technologies, tools, and concepts through publishers which include LinkedIn Learning (Lynda.com), Peachpit Press, and Adobe. He has spoken at large design and technology conferences such as Adobe MAX and for a variety of smaller creative communities.</p>
</p>
<p>
<ul>
<li>Even if the company isn’t enforcing these limits yet, it didn’t tell users that it was tracking usage either.</li>
<li>&#8220;I think Adobe has done such a great job of integrating new tools to make the process easier,&#8221; said Angel Acevedo, graphic designer and director of the apparel company God is a designer.</li>
<li>At Sundance 2025 in Utah, the creative tech giant has announced a new AI-powered Media Intelligence tool that automatically analyses visuals across thousands of clips in seconds.</li>
<li>In Q4 of last year, the company generated $569 million in new digital media ARR, so this would be a deceleration and could lead to lower revenue growth in the future.</li>
</ul>
<p>
<p>Further, Firefly offers a variety of camera controls, including angle, motion, and zoom, enabling people to finetune the video results. It’s also possible to generate new video using reference images, which may be especially helpful when trying to create B-roll that can seamlessly fit into an existing project. Adobe is one of several technology companies working on AI video generation capabilities. OpenAI’s Sora promises to let users create minute-long video clips, while Meta recently announced its Movie Gen video model and Google unveiled Veo back in May. It is available today through a limited public beta to garner initial feedback from a small group of creative professionals, which will be used to continue to refine and improve the model, according to Adobe.</p>
</p>
<p>
<p>They utilize AI to significantly speed up and improve image editing without taking control away from the photographer. To address this, Adobe founded the Content Authenticity Initiative (CAI) in 2019 to build a more trustworthy and transparent digital ecosystem for consumers. The CAI implementsour solution to build trust online– called Content Credentials. Content Credentials include “ingredients” or important information such as the creator’s name, the date an image was created, what tools were used to create an image and any edits that were made along the way.</p>
</p>
<p>
<p>The Generate Similar tool is fairly self-explanatory — it can generate variants of an object in the image until you find one you prefer. Adobe is upgrading its Premiere Pro video editing application with a generative AI model called the Firefly Video Model. It powers a new feature called Generative Extend that can extend a clip by two seconds at beginning or end. These latest advancements mark another significant step in Adobe&#8217;s integration of generative AI into its creative suite.</p>
</p>
<p>
<p>This upcoming tool takes the power of everything seen in Adobe Firefly AI functions and applies it to generative video. It works incredibly well, even tracking objects that move against similarly toned or colored backgrounds. Photoshop’s latest AI features bring in more precise removal tools, allowing you to brush an area for Photoshop to identify the distraction and remove it seamlessly.</p>
</p>
<p>
<h3>Adobe’s CFO: Agentic AI is a ‘natural evolution’ for the company &#8211; Fortune</h3>
<p>Adobe’s CFO: Agentic AI is a ‘natural evolution’ for the company.</p>
<p>Posted: Fri, 24 Jan 2025 11:58:00 GMT [<a href='https://news.google.com/rss/articles/CBMihAFBVV95cUxPdW1CdWxLNU81TjZzVWx5eU9yeXNscXI3MExwZkZRVlhjcXBWNG5RMlQxelNkejU5ZDNHdjVUdS01WTJlMW1KbmxQYlRhYVl4QUlRdDBVcWdOVHFJRzh5RDRYLWpWbjRORWlseU1BeUc5XzBncEt3b0Fud09sQW5aaWYyNEs?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Its Content Credentials watermarks are applied to whatever the video model outputs. In Firefly Services, a collection of creative and generative APIs for enterprises, Adobe unveiled new offerings to scale production workflows. This includes Dubbing and Lip Sync, now in beta, which uses generative AI for video content to translate spoken dialogue into different languages while maintaining the sound of the original voice with matching lip sync.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="adobe generative ai"/></p>
<p>
<p>In addition, he is the founder of Securities.io, a platform focused on investing in cutting-edge technologies that are redefining the future and reshaping entire sectors. As generative AI continues to scale, it will be even more important to promote widespread adoption of Content Credentials to restore trust in digital content. For those seeking more control, consider exploring tools like Stable Diffusion and ComfyUI. While they have a steeper learning curve and require a GPU with at least 6-8GB of VRAM, they can easily blow Photoshop out of the water.</p>
</p>
<p>
<p>While a lot of the focus has been on generative AI, Adobe continues to roll out workflow-focused AI features across its Creative Cloud suite too. I’d argue this increase is mostly coming from all the generative AI investments for Adobe Firefly. But speak to serious photographers who use Lightroom and Photoshop for editing their photos, and I’d be willing to wager that most of them don’t need any of the generative tools that Adobe wants to sell to us via this price increase.</p></p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/adobe-generative-ai-1-2/">adobe generative ai 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		<title>adobe generative ai 1</title>
		<link>https://habpad.co.nz/adobe-generative-ai-1/</link>
		<comments>https://habpad.co.nz/adobe-generative-ai-1/#comments</comments>
		<pubDate>Tue, 19 May 2026 16:46:28 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=145487</guid>
		<description><![CDATA[<p>Grace Yee, Senior Director of Ethical Innovation AI Ethics and Accessibility at Adobe Interview Series Adobe&#8217;s Claims Next Generative AI Features Will Be Commercially Safe Speaking of “early access” features, Adobe introduced AI-powered Lens Blur as an early access tool [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/adobe-generative-ai-1/">adobe generative ai 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Grace Yee, Senior Director of Ethical Innovation AI Ethics and Accessibility at Adobe Interview Series<br />
<h1>Adobe&#8217;s Claims Next Generative AI Features Will Be Commercially Safe</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="adobe generative ai"/></p>
<p>
<p>Speaking of “early access” features, Adobe introduced AI-powered Lens Blur as an early access tool last year. With today’s Lightroom ecosystem update, it is finally available to everyone, no strings attached. For those who want it, it’s available in all versions of Adobe Lightroom beginning today as an “early access” feature. While it’s easy to think about “generative AI” in terms of adding something to a scene, it also makes sense for removal, as to do so convincingly, new pixels must  be made to replace what is taken out of the frame.</p>
</p>
<p>
<p>By being open about our data sources, training methodologies, and the ethical safeguards we have in place, we empower users to make informed decisions about how they interact with our products. This transparency not only aligns with our core AI Ethics principles but also fosters a collaborative relationship with our users. Adobe could improve the user experience dramatically by simply including the reason a generation gets flagged as a guideline violation. They request we use their feedback system when this happens, but don’t give us any feedback in return.</p>
</p>
<p>
<h2>Make sure you&#8217;re running the right version</h2>
</p>
<p>
<p>There, a user’s remaining number of generative credits is shown and it reloads in real-time. There is no indication inside any of Adobe’s apps that tells a user a tool requires a Generative Credit and there is also no note showing how many credits remain on an account. Adobe’s FAQ page says that the generative credits available to a user can be seen after logging into their account on the web, but PetaPixel found this isn’t the case, at least not for any of its team members.</p>
</p>
<p>
<h3>The future of content creation and production with generative AI &#8211; the Adobe Blog</h3>
<p>The future of content creation and production with generative AI.</p>
<p>Posted: Wed, 11 Dec 2024 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMipAFBVV95cUxQLXktZ3IyeVVxek5tWEpKTnM0dXFacVQxLWZNbXpodWZQczI0RWFBTkFlWmNSc3hsazl2SF84YloxbGNEd2x6aktvZndWNjRzaEdtYnJTcjBsV29DWEpVNU9fblNyUVRRR1h4TGd3YkMtVElPbTdnQlpiRXBoTWFaLThfRGRieVFTTEFhRnA5N3hWQjBJSGtEdWxUZHd3akpGX2hoMg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>The Firefly Video Model (beta) is set to extend Adobe’s family of generative AI models and make Firefly one of the most comprehensive model offerings for creative teams. It is available today through a limited public beta with the goal of garnering feedback from small groups of creative professionals. Adobe is upgrading those existing capabilities to a new AI model called the Firefly Image 3 Model. According to the company, the update will improve both the quality and variety of the content that the features generates.</p>
</p>
<p>
<h2>Adobe&#8217;s new AI tools will make your next creative project a breeze</h2>
</p>
<p>
<p>By Jess Weatherbed, a news writer focused on creative industries, computing, and internet culture. To its credit, two of the three options Generative Remove suggested did provide usable alternatives. Unfortunately, the Bitcoin option was the first one, which (whether Adobe intends this or not) tells an editor that it is what the platform feels is the best result. While this kind of makes sense if you don’t think about it too hard, it also is completely counterintuitive to the concept of the name of the tool and the result an editor is expecting. “Select the entire object/person, including its shadow, reflection, and any disconnected parts (such as a hand on someone else’s shoulder). For example, if you select a person and miss their feet, Lightroom tries to rebuild a new person to fit the feet,” the article reads.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="adobe generative ai"/></p>
<p>
<p>&#8220;It&#8217;s another way to penetrate and radiate the user base,&#8221; Gartner analyst Frances Karamouzis said. The new Media Intelligence tool in Premiere Pro follows the introduction of other AI-driven features including Firefly-powered Generative Extend. If I am selecting a body part and asking a tool to fill or remove that space, zero percent of the time would I want it to replace my selection with its eldritch nightmare version of that exact same thing. What I, and any editor doing this, want is for what is selected to be removed as seamlessly as possible. GPU-accelerated, AI-powered video retiming tool can now be used without a host app, for under half the price of a regular plugin license. Internally, IBM is also using Adobe Firefly to streamline workflows, leveraging generative art, Photoshop, Illustrator, and Firefly’s AI capabilities.</p>
</p>
<p>
<h2>Generative Extend is coming to the Adobe Premiere Pro beta</h2>
</p>
<p>
<p>That’s an existing Illustrator feature for creating scalable vector, or easily resizable, versions of an image. According to Adobe, its engineers have enhanced the  visual fidelity of the feature’s output. Or perhaps someone likes the look of an image but wishes that the subject were somewhere else in the frame.</p>
</p>
<p>
<ul>
<li>Leading enterprises including the Coca-Cola Company, Dick’s Sporting Goods, Major League Baseball, and Marriott International currently use Adobe Experience Platform (AEP) to power their customer experience initiatives.</li>
<li>“Dubbing and Lip Sync” can translate and edit lip movement for video audio into 14 different languages, and a new InDesign tool can automatically format text and images for print and digital media using predefined templates.</li>
<li>One of the biggest announcements for videographers during Adobe Max 2024 is the ability to expand a clip that’s too short.</li>
<li>Illustrator and Photoshop have received GenAI tools with the goal of improving user experience and allowing more freedom for users to express their creativity and skills.</li>
</ul>
<p>
<p>My advice would be to begin by establishing clear, simple, and practical principles that can guide your efforts. Often, I see companies or organizations focused on what looks good in theory, but their principles aren’t practical. The reason why our principles have stood the test of time is because we designed them to be actionable.</p>
</p>
<p>
<h2>Adobe Firefly Feature Deep Dive</h2>
</p>
<p>
<p>Firefly is featured in numerous Adobe apps, including Photoshop, Express, and Illustrator, and with the introduction of the Firefly Video Model (beta), it is coming to Premiere Pro, Adobe’s venerable video editing software. At the heart of Adobe&#8217;s announcements is the expansion of its Firefly family of generative AI models. The company introduced a new Firefly Video Model, currently in beta, which allows users to generate video content from text and image prompts.</p>
</p>
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" width="301px" alt="adobe generative ai"/></p>
<p>
<p>While the company was not proactive about alerting users to this change, Adobe does have a detailed FAQ page that includes almost all the information required to understand how Generative Credits work in its apps. As of January 17, Adobe started enforcing generative credit limits “on select plans” and tracking use on all of them. When it comes to generative artificial intelligence (AI), one company that has been at the forefront on the software side is Adobe (ADBE -0.43%). The company has added a number of AI-related features to both its Creative line of products, such as Photoshop, and its Acrobat-led Document Cloud business. Since many mobile devices shoot HDR photos, software has continually expanded its support for HDR image editing, Lightroom among them. With HDR Optimization, Lightroom users can achieve brighter highlights, deeper shadows, and more saturated colors in HDR photos.</p>
</p>
<p>
<p>For Creative Bloq, Ian combines his experiences to bring the latest news on digital art, VFX and video games and tech, and in his spare time he doodles in Procreate, ArtRage, and Rebelle while finding time to play Xbox and PS5. As some examples above show, it is absolutely possible to get fantastic results using Generative Remove and Generative Fill. But they’re not a panacea, even if that is what photographers want, and more importantly, what Adobe is working toward. There is still need to utilize other non-generative AI tools inside Adobe’s photo software, even though they aren’t always convenient or quick. As its name suggests, Generative Remove generates new pixels using artificial intelligence.</p>
</p>
<p>
<h2>Adobe&#8217;s Claims Next Generative AI Features Will Be ’Commercially Safe‘</h2>
</p>
<p>
<p>The new AI features will be available in a stable release of the software “later this year”. Generate Similar, shown above, automatically generates variations of a source image, making it possible to iterate more quickly on design ideas. Users can guide the output by entering a brief text description, with Photoshop automatically matching the lighting and perspective of the foreground objects in the content it generates. In Photoshop 25.9, they are joined by the ability to create entire images from scratch, in the shape of new text-to-image system Generate Image.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="adobe generative ai"/></p>
<p>
<p>&#8220;Think of these &#8216;controls&#8217; as the digital equivalent of the paintbrush in Photoshop,&#8221; says Alexandru. If you&#8217;re a digital artist fed up with hearing prompt jockeys tell you to get over generative AI art&#8217;s impact, then Alexandru Costin, Vice President of Generative AI and Sensei at Adobe, has some good news for you as we begin 2025. Get the latest information about companies, products, careers, and funding in the technology industry across emerging markets globally. I suspect this may be for similar reasons, that Stable Diffusion XL (SDXL) works best in 1024 pixel aspect ratios. I’ve found that limiting the expand or fill areas to 1024 pixels improves results.</p>
</p>
<p>
<p>The company sees this tool as helpful in creating storyboards, generating B-roll clips, or augmenting live-action footage. Labrecque has authored a number of books and video course publications on design and development technologies, tools, and concepts through publishers which include LinkedIn Learning (Lynda.com), Peachpit Press, and Adobe. He has spoken at large design and technology conferences such as Adobe MAX and for a variety of smaller creative communities.</p>
</p>
<p>
<ul>
<li>Even if the company isn’t enforcing these limits yet, it didn’t tell users that it was tracking usage either.</li>
<li>&#8220;I think Adobe has done such a great job of integrating new tools to make the process easier,&#8221; said Angel Acevedo, graphic designer and director of the apparel company God is a designer.</li>
<li>At Sundance 2025 in Utah, the creative tech giant has announced a new AI-powered Media Intelligence tool that automatically analyses visuals across thousands of clips in seconds.</li>
<li>In Q4 of last year, the company generated $569 million in new digital media ARR, so this would be a deceleration and could lead to lower revenue growth in the future.</li>
</ul>
<p>
<p>Further, Firefly offers a variety of camera controls, including angle, motion, and zoom, enabling people to finetune the video results. It’s also possible to generate new video using reference images, which may be especially helpful when trying to create B-roll that can seamlessly fit into an existing project. Adobe is one of several technology companies working on AI video generation capabilities. OpenAI’s Sora promises to let users create minute-long video clips, while Meta recently announced its Movie Gen video model and Google unveiled Veo back in May. It is available today through a limited public beta to garner initial feedback from a small group of creative professionals, which will be used to continue to refine and improve the model, according to Adobe.</p>
</p>
<p>
<p>They utilize AI to significantly speed up and improve image editing without taking control away from the photographer. To address this, Adobe founded the Content Authenticity Initiative (CAI) in 2019 to build a more trustworthy and transparent digital ecosystem for consumers. The CAI implementsour solution to build trust online– called Content Credentials. Content Credentials include “ingredients” or important information such as the creator’s name, the date an image was created, what tools were used to create an image and any edits that were made along the way.</p>
</p>
<p>
<p>The Generate Similar tool is fairly self-explanatory — it can generate variants of an object in the image until you find one you prefer. Adobe is upgrading its Premiere Pro video editing application with a generative AI model called the Firefly Video Model. It powers a new feature called Generative Extend that can extend a clip by two seconds at beginning or end. These latest advancements mark another significant step in Adobe&#8217;s integration of generative AI into its creative suite.</p>
</p>
<p>
<p>This upcoming tool takes the power of everything seen in Adobe Firefly AI functions and applies it to generative video. It works incredibly well, even tracking objects that move against similarly toned or colored backgrounds. Photoshop’s latest AI features bring in more precise removal tools, allowing you to brush an area for Photoshop to identify the distraction and remove it seamlessly.</p>
</p>
<p>
<h3>Adobe’s CFO: Agentic AI is a ‘natural evolution’ for the company &#8211; Fortune</h3>
<p>Adobe’s CFO: Agentic AI is a ‘natural evolution’ for the company.</p>
<p>Posted: Fri, 24 Jan 2025 11:58:00 GMT [<a href='https://news.google.com/rss/articles/CBMihAFBVV95cUxPdW1CdWxLNU81TjZzVWx5eU9yeXNscXI3MExwZkZRVlhjcXBWNG5RMlQxelNkejU5ZDNHdjVUdS01WTJlMW1KbmxQYlRhYVl4QUlRdDBVcWdOVHFJRzh5RDRYLWpWbjRORWlseU1BeUc5XzBncEt3b0Fud09sQW5aaWYyNEs?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Its Content Credentials watermarks are applied to whatever the video model outputs. In Firefly Services, a collection of creative and generative APIs for enterprises, Adobe unveiled new offerings to scale production workflows. This includes Dubbing and Lip Sync, now in beta, which uses generative AI for video content to translate spoken dialogue into different languages while maintaining the sound of the original voice with matching lip sync.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="adobe generative ai"/></p>
<p>
<p>In addition, he is the founder of Securities.io, a platform focused on investing in cutting-edge technologies that are redefining the future and reshaping entire sectors. As generative AI continues to scale, it will be even more important to promote widespread adoption of Content Credentials to restore trust in digital content. For those seeking more control, consider exploring tools like Stable Diffusion and ComfyUI. While they have a steeper learning curve and require a GPU with at least 6-8GB of VRAM, they can easily blow Photoshop out of the water.</p>
</p>
<p>
<p>While a lot of the focus has been on generative AI, Adobe continues to roll out workflow-focused AI features across its Creative Cloud suite too. I’d argue this increase is mostly coming from all the generative AI investments for Adobe Firefly. But speak to serious photographers who use Lightroom and Photoshop for editing their photos, and I’d be willing to wager that most of them don’t need any of the generative tools that Adobe wants to sell to us via this price increase.</p></p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/adobe-generative-ai-1/">adobe generative ai 1</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://habpad.co.nz/a16z-generative-ai-5/</link>
		<comments>https://habpad.co.nz/a16z-generative-ai-5/#comments</comments>
		<pubDate>Tue, 19 May 2026 16:44:31 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

		<guid isPermaLink="false">http://habpad.co.nz/?p=142430</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal [&#8230;]</p>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-5/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="https://habpad.co.nz/a16z-generative-ai-5/">a16z generative ai</a> appeared first on <a rel="nofollow" href="https://habpad.co.nz">Get a tiny house, sleepout, office, cabin or studio.</a>.</p>
]]></content:encoded>
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		<title>best name for dog 48</title>
		<link>https://habpad.co.nz/best-name-for-dog-48/</link>
		<comments>https://habpad.co.nz/best-name-for-dog-48/#comments</comments>
		<pubDate>Fri, 01 May 2026 09:25:16 +0000</pubDate>
		<dc:creator><![CDATA[wsme_admin]]></dc:creator>
				<category><![CDATA[News]]></category>

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		<description><![CDATA[<p>150+ Best Dog Names for Your New Pet The Cat in the Hat 2026 film Wikipedia Susan Brandt, president-CEO of Dr. Seuss Enterprises, and Hader will executive produce. Warners Bros Picture Animation is producing with Dr. Seuss Enterprises. In an [&#8230;]</p>
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				<content:encoded><![CDATA[<p>150+ Best Dog Names for Your New Pet<br />
<h1>The Cat in the Hat 2026 film Wikipedia</h1>
<p>Susan Brandt, president-CEO of Dr. Seuss Enterprises, and Hader will executive produce. Warners Bros Picture Animation is producing with Dr. Seuss Enterprises. In an interview with CBR, Looney Tunes stars Eric Bauza and Candi Milo discuss recording their new movie and perform lines as various characters.</p>
<p>Another French city, close to Belgium, and a nice name for a female fur baby. This used to be a nickname for William, but actor Liam Neeson and Oasis singer Liam Gallagher helped make it a popular stand-alone choice. An English name that means “white-haired,” so pretty perfect for your white pooch. A name meaning “cool breeze over the mountains,” which perfectly describes Keanu Reeves and perhaps your laid-back pooch.</p>
<h2>Can Dogs Eat Papaya?</h2>
<p>They’re names that seem to belong to the great outdoors, reflecting a love of freedom and the world beyond your doorstep. Classic names never go out of style, and they fit almost any dog, no matter their breed or size. These names have been popular for generations, and their charm lies in their familiarity and ease. Sniffspot provides the best experiences and fun for you and your dog. Our private spaces help you minimize distractions or triggers and maximize time with your dog. We provide off leash enrichment &#8211; exploration and activities you can&#8217;t get anywhere else; wear your dog out for days.</p>
<h3>The Cat In The Hat: Release Date, Cast, Story &amp; Everything We Know</h3>
<p>This discrepancy likely stems from the different populations measured by each organization. AKC data may lean more towards trends among purebred and registered mixed-breed dogs, while Rover’s broader user base might reflect overall pet owner preferences more widely. Teddy has also notably climbed the charts, reaching #3 according to AKC. Well, friend, we’ve sniffed our way through dog names for every season, every style, and every silly mood—and I hope one (or ten!) jumped out at you. Some pet parents love a name that starts (or ends) with a specific letter—maybe to match a theme, honor a family member, or just because it sounds right.</p>
<p>Pictures Animation President Bill Damaschke also stopped by to reveal the studio&#8217;s goals for the film and shed light on the direction WB animation is heading. The Cat in the Hat, released in 1971, is an animated adaptation of Dr. Seuss&#8217;s classic story. It follows two children on a rainy afternoon whose day is transformed by the arrival of the whimsical and mischievous Cat, leading to a series of extraordinary and chaotic adventures. Though little is known about the upcoming Dr. Seuss movie, the latest news confirms that the release date for The Cat in the Hat has changed.</p>
<p>Check out our AKC dog name app to learn more about the special method to naming your dog when registering with the American Kennel Club. Whether it’s a playful puppy, a loyal adult dog, or a dignified senior, one of the first things you’ll need to do is choose a name. But, how do you pick the perfect name that suits your dog’s personality and stands the test of time? After all, a dog’s name will be used daily for many years, and it’s often the first thing people will learn about your canine companion. For male dogs, names like River, Forest, Sky, and Jasper bring to mind images of open spaces, fresh air, and wilderness adventures. These names are perfect for dogs who love to explore the outdoors and enjoy time in nature.</p>
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<h3>Can Dogs Eat Apples?</h3>
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<p>A dog named Toby is often affectionate and full of character, always eager to spread happiness and brighten even the darkest days. Naming your dog Cooper reflects their industrious spirit and effort to bring joy to your life. It conveys a sense of warmth and amiability, much like the welcoming nature of our canine friends.</p>
<p>It’s also great for any puppy that is mysterious in different ways. For dogs who just love to run around in the rain and play in water, Puddles might be the best name. It’s also great for puppies who always have fun and get messy. Liora is a beautiful name, which means “light for me” in Hebrew.</p>
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		<pubDate>Fri, 12 Dec 2025 15:27:02 +0000</pubDate>
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