
<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Mauverick &#187; a16z generative ai</title>
	<atom:link href="https://mauverick.com/category/a16z-generative-ai-2/feed/" rel="self" type="application/rss+xml" />
	<link>https://mauverick.com</link>
	<description></description>
	<lastBuildDate>Wed, 11 Feb 2026 08:30:53 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>https://wordpress.org/?v=4.2.37</generator>
	<item>
		<title>a16z generative ai</title>
		<link>https://mauverick.com/a16z-generative-ai-3/</link>
		<comments>https://mauverick.com/a16z-generative-ai-3/#comments</comments>
		<pubDate>Mon, 19 Jan 2026 18:52:09 +0000</pubDate>
		<dc:creator><![CDATA[Mohan Varadarajan]]></dc:creator>
				<category><![CDATA[a16z generative ai]]></category>

		<guid isPermaLink="false">https://mauverick.com/?p=15755</guid>
		<description><![CDATA[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 mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]]]></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;' src="data:image/jpeg;base64,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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>
</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>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</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><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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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;' src="data:image/jpeg;base64,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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>
</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>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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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;' src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDABALDA4MChAODQ4SERATGCgaGBYWGDEjJR0oOjM9PDkzODdASFxOQERXRTc4UG1RV19iZ2hnPk1xeXBkeFxlZ2P/2wBDARESEhgVGC8aGi9jQjhCY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2P/wAARCAFoAeADASIAAhEBAxEB/8QAGwABAAIDAQEAAAAAAAAAAAAAAAQFAQIDBgf/xABGEAACAQMCAwMLAgQDBwEJAAAAAQIDBBEFIRIxQRNRcQYUIjI0YXKBkbHBQqEjUmLRM7LwFSRTc4Ki4RY1NjdDVHSSs8L/xAAYAQEBAQEBAAAAAAAAAAAAAAAAAQIEA//EAB8RAQEBAQACAQUAAAAAAAAAAAABEQIDEjEEExQyQf/aAAwDAQACEQMRAD8A8YACgHyAfIC5OMrWlOTk08vnudivrXNWNacYzwk9tkQTKVCnSbcFu+rZHvarS7NRaT5t9TFrcValXhk+JNd3Ik3EFOjJPuygIun+tU8ESrik61LgTxuRtP8AWn4Ik1qvY0+PGd+QEZWEs71FjwJkYqMVFcksHOhWVaLaWGnujS9lUjTTg8Re0u8CJdTU7iTXJbEiwhiEpvrsiEllpJbvZFtTgoQjFdFgCNfzxCNNdd2drefaUIy68ma1baNWfFKUs4xsb0aKopqLbTedwIV7T4K2VyluT9JpVJ2spRj6Km05NpLkurON7T46OesdzbTPZ5fG/sixFjwUo+vU4n3U1+X/AOTeldO3qKdCnGLXWT4m13d37EcFslmUeksr+wuU+3r+bSS5Si2n8yPc6tSgn2D458lj1UUYOX8PxbLjOR185r5b7apu8v0ngecTb9KNOXjTX3xk5A6mnTtKb50Ir4JNffJn/d3/AMWD+Uv7HIAdezpv1a8fCUWn+2THm836rpy8Jxy/lnJzAG8qNWCzKlOK73F4Lzye0yV7bVLiU4SjTnw04TipLOMvny5ooYTlB5hJxfengvvJ3W42k50b2pN05vijN78L5b+7kZ7mzBc0NJsbqyl5zCDk85knhw/szx9anTta04P+NKLaXSPj3v8A1zPX3Gtad5nPiuFF7x4abUpS+n3PGXPG68pzx6b4k1umvcePh5vMknxiRrOpOo/SecbJckvBdDaPoW8pdaj4V4Ld/vj9zmdLj0anZrlTXD8+v75OhXIygAAAAHVTjVWKrxLpU/D7/HmcjdUKzWVSnjv4dvqB1pWNzVbVOjKWOuVj68hK2naviuaeMerF78T/ALd/0PWUHCxtaVOnRg2orEpeqvD7kfWYdpptSVSnBPh4k496/wBfucc+pt7xnXiNVk50VKTzJzy337Mqyz1P2ePx/hlYddaAAFAAAAAAAAAAAAAAAAAAAAAAdAALk1cIt5cV9Cpy+9/UZfeyC3UVHkkvAj3deMKbhF5k9tuhAy+9mAJmn+tPwR1vvZ34or845DL72B1tavZVln1ZbMspRU4uMuTKczl97+oEm2oON01JbQ/fuJtWfZ05T7kVOX3v6jL6tgSPPqvdD6f+TML2o5x4lHhzvsRQUXLSaafJmlhB06dSL6Tf2RVZfeyz03e3ln+f8IREsAFAAAAAAAAAAAAY6mQBvTqcKcJripvdrqveu5mgAs7PSqtThrU5xa9aCaab7s92+CB5vXy/4VTZ4fov7k221irb28aXZxk4LEZZxsV9SUqknKbbb6s8uPubfb4/iN+wkvWnTj/1p/ssscFJetWz8EG/vg5g9Vdc0F+ipLxkl+2PyY7VL1aNOPvacvu2cwB085qpYjNwXdD0fsc23J5k233vcdABfaT5Qzt6VO1uKfaQWIwmnvFe/PPBw1HWJahGVu+KjTb6vqnyeFsio6bHW59oqNcpS4l4Pdfcz6zdRX6rGUKKjJNSU90/BlWW2qVHKzhCST4ZrD6pYe3gVJVAAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC00z2eXxfhFWWemezy+L8IREwAtrPSJV7SNeVpeNOLbcOHDfTCe7RRUguael0VpV5O4pV6V7bRUmpNcLUntt4IxZ6O5aTVv69GtUztQp0lvL+p7cv9dwFOCTbafd3cHO2t6lWMXhuK5M0ubWvaTULmjKlJrKUlzQHEAAAAAAAAGDIAAAYMgAAx0MAZAAA6V9+zl/NTX7ej+DmTXYXU7am1SfFHO2d8c1t82Z6755/a4im1P2ePx/hlYWep/wCBH4/wysKoAAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWemezy+P8IrC00z2eXx/hCIn27pq5pdtjsuOPHn+XO/7HotUp6zLXVK07d024ujKDfZqOFzxt45PMkqnqN5SodhSuq0KXJRjN7eHcUeq1Hg7XWO1z2fZ0OPHdl5IWqS1da3BWPbdh6HYKnnsuHC542555nn53t1U7TtLirLtUlPMn6SXLJOttShRt40Vc30IcOHGE1jON8dyyQW8rR1tdva9GrXhZUZKVWFCUs1KmFmKS695Razc3d3eutd0alDKxTpzi48Mfnz8TrbX1C1i40bi+pxcuJxhJLPL99n9fcQLi5rXU1K4qzqNbJzlnC7ijkAAAAAAAADBkAAGBgyYMgDBkwBkAAb0ZRhXpyksxjJNr3ZPVRqU5U+1VSPBz4srH1PJGDn83gnlsupZrjrs4VZTnTWISq5X7lOWepezx+NfZlYe0mTFAAVQAAAAAAAAAAAAAAAAAAAAAAMx9ZeIGATbipCjU4VQpvbPI0jOhWfDOmqbfJxIIoN6tN0qjhL695rGLk8RTfgijAMyi4vEk0/egk3yTYGAbKE5LMYSa70jUADPDLPDwvPdgSjKPrRa8UBgHWDh2M1KDlLpJdDmk28JNvuQGCz032eXxP7IrpQlH1oteKLHTPZ5fE/shETACTZWF1fuatKLquCXFhpYzy5v3FEYHS4oVbavKjXg4VIbSi+nU3tLO4varpWtN1JqPE4ppbd+/igOALP8A9Pat/wDRS/8Azh/c5UdG1Gu6ipWrk6U3Tn6UdpLpz94EFAm3OkahaUnVuLWcILnJNSx44exz8wu/MfPexfm3/E4l345ZzzAjAk2en3d8p+aUXV7PHFiSWM8ub9zOlppN/e0FWtrd1KbeOJSivuwIQJt1pF/Z0XWuLZ06aaXE5Rf2ZFpU51qkadKEpzk8RjFZbA5mSxqaDqtODnKynwpfplGT+ieTjaaVfXtOU7a3lUjGXC3xJYfdu/eBEBOuNG1G0oSr3FrKFOOMyc4vG+OjNbPTL6+i5WttKpFbcWUl9XgCGCReWF1YyUbqhKk5cm8NP5rY6WelX97T7S2tpTh/M2op+DbWQIZgk3ljdWM1G6oTpN8s7p/NbG1XTL2jZxu6lvJW8kmp5TWHy65AioEmhYXVxa1LmjRc6NLPHPiS4cLL5vPI7UNF1G5oRrUbWU6c1mMlOKz9WBABJu9Pu7LHnVvOknybWU/mtiMBD1P2ePxr7MrCz1P2ePxfhlYSgAAoAAAAAAAAAAAAAAAAAAAAAGY+tHxMGY+svEDvfe0f9KI5MuqFWpW4oRysd6NIWri+Ku1GC6Z5kGbzMlRf6nHf9jaqqlJKnQjJJLeSXNnCvWdWrxLZLkd63aVUqtCUmmt4qXJgKUatWMqdaMsYzGTXJmlm8Kq2s4jyMcNwoOcpzil3yxkza+pW+ADTzqqnni2XRLYzfJKu8dVlnDoSL/8Ax/8ApKOl5WlTq4hiOVu+rNVOVW0qdo8uL2Zrff4//ShR9krfIgUfZK3yN7dN28lRaVXO/fg0o+yV/kaQo1Jw7Snvh8k90BtOdeEXGom01j0lkmaZ7PL439kcaPaqE+3z2eP1HbTPZ38T+yLETD1mnyno3kx51Cm5XFxNSjHGcp8v+1N/M8rTUHUiqrap5XE0t8dcHpb3yscHThplGKpxjh9tB/JLDLRz8r7aMp22oUl6FaKi3jrzX7Z+hRWt3Xs6rq21V05uPC2u7/SLu71+jqWi1Le9g43L3i6cfRynlc3n3HngPYapf3dHyZsbmnXlGtU4OKaxl5i2x5NSuLrRr+UauLirVnio+knCOH9Sp1DVbe50C0saaqdrR4OJtbbRaePqY0zVbe00O9sqiqOrX4+FxW28Eln5kHoqMbjTdNuZazeQrwawl8uXvz3FW/8A4fxz3r/9pEo6va1tAenX6qucdqU4xTxj1Xz6cvAaPrdvb2EtP1GhKpbyzhxWcZeWmvHfIE3yK9W+8If/ANEjydi5eSzjG4Vs3KWKv8m/Mh1Nc02wsalvo9vOM6mfTlnC9+W8tnLSdX0+30Z2F7TqzUm+JQWzTfflAZ1ulWp2Dc9bV5FyS7JJfXZsh+Td7b2OqdrcvhhKm4KeM8LbW/7Y+ZtqVbRJ2jjYWtWnXysSk3jHX9TI2kXlvZXna3Vt5xBxccbPGebw9ntt8yj1UqF7WqVbjS9ZjVjLLVOaU4rPRNcseBw8mqdWOkajSqVXQrKvUjKpLdwlwrMn34e5FoaroGn1J3Nla1lXlFxxv16bvC5dDlpmu2kLW9p6hTqSd1VnOUYLbhkksZyveQdNTt63mM1PX43MXKMXSSW+ZJd75c/kSfKW9raXRtbSxfYU3F7xW+FjZfUqL+toM7OpGytK1O4eOCUm8Lff9T6ZJlHXrG+s4W+s28qkocqkevv2aafgBCesXWp07fTrqUJwnVjGVRx9NpyXXoWvlPqNzYVbe0s5dhSVPizBLffCS7sY/crtW1ayqWVOy0217OnCWVUlH0k+fo9c+8lR13TtRtqdPWbWUqlPlOC2f0aaz3cgJFvcT1fyUvJXuJzoqXDNrGXGPEn+Cxtq1vT0PTaN0k6dzSp0d+WXDOH44wef1TXaE7D/AGfplB0bd7Sk1htdyXv6tnLU9Vt7vQrKypqoqtDg4m1hbQaeN+9gXlDTpaZoerUG8waqSpy748Cx9sfIjzua1p5G29W3qOnUXCuJfER6flLTq6JVtbtVHcypSpqaWVLKwm/yLTWdL/2NRsb2jWqKC9JKO2c57wJfk9d1tZsby11B9rCKS42km08/usZyeOXLJ6K68oLajYztNItZUIzynOSS582sN5fvZ54sEPU/Z4/GvsysLPU/Z4/H+GVhKAACgAAAAAAAAAAAAAAAAAAAAAAOYG3HP+eX1MNtvLbfiZlGUJYkmn3MQhKbxGLljuA1MxlKLzGTXgzAA2lKUn6UnLxeTCbXJtZ5mAAMttvdt+Jgy00k2mk+XvANt7ttv3jLSwm8MwAM5aWMvDCk4vMW0+9MwZjFyeIpt9wGZTlL1pSl4vJY6Z7PL4vwitlGUHiSafcyy0z2eXxfhCImNnqKvk/pNtb0qt3fV6XaJNZcd3j4Tyz5HvdSqxpWFo56W9QzFeiqfFwbc+TLR5/VtDo2lrQu7S4lWoVJKOZYzvyaaJt15P6PZSjG51CtSct48UorP/adtfpyr6NZ3CjO1jCcP92aSSzstu9fboT9UjplbULS2v6LnVqqSpybfCvc9+pB5bXNH/2VOnKnVdWhVzwyfNNdGWOmeTNC60+jXuK9WnVrLijGLWMdOa7tzbyg7a/1u10tUuzpJpxa/UnzfySf0Lq7sripqNlWoVadOjbZzB53T2f7cgPFafYecaxCxuHKGZyhNx5ppPlnwLOh5P21XXbmwlVrKnRpqSkmuJtpc9veT7yz838srKvFehcZf/UotP8AbB3sv/fHUP8Akx+0QPP3eiu01uhZ1JSdCvNKFRc3FvD92Uctd0+lpmoK3oznOLpqWZ4zlt93gem0+6pavVnbXOPObO4c6bXNxjLZ/hlJ5Yf+2l/yY/dgUYAKAAAwZAwAHUAAYMmAMgAADBkCHqfs8fj/AAysLPU/Z4/GvsysJQAAUAAAAAAAAAAAAAAAAAAAAADMfWXiYMx9aPiBJuoSqXajFZbSMVpxow7Gk9/1S7yRVq06dbhaalJYcu5EKtSdGfC90+T7yDWnCVSXDBZZ181k9ozpykv0qW50oR/3SbUlByeHJ9xyVGKeVcU017wNIUpTqdnspe81acZNPmtjvcTSrQqQknLCzjvF3DM41IcqiyvEDkqUnSdTZRTxv1N67qdnS42uHHo4NrpqEYUVyisvxFz/AIND4f7Aaq2qNRaxiSznPLxMztpxg5qUZpc+Fm1y32FBZ24eX0Fn/wDNXTgAjHa09ph8/scTtae0w+f2KO12lUh2i5xk4v6nfTPZ5fG/sjhSalXrUZcpt48STp8ZQoSUlh8bERKLWPlHqkIRjG4iklhfw4/2KoFEy81W9vuDzmu5xg8xikkk+/Yxeand31WnUuKuZ0vUailjr08CIALKWvahOvCvKrB1YJxjLs45SeM9PcQLmtO7uJ167U6lR5k8czQAWMtc1CXYOVZN0Hmm3BZTw189maQ1m+p3tS8jVSr1YqMpcC3Sx0+SIIA70ryvRvPO6dThrcTlxJdXz2+Zm9va9/XVa5mp1OFRyopbfLxI4AAAAAAAAAGDIAGDIAAADBkACHqfs8fi/DKws9T9nj8f4ZWEoAAKAAAAAAAAAAAAAAAAAAAAABmPrJ+8wAO93ONStxQeVgzSqwnSdKs8JerLuI4A70akYKdKpvCXVdPeOxpc3cR4fDc4ADafDxvgzw9Mkm2q01TUar9R5iRABtOTnNyfNvJ0rzjKlRUXlxjh+7kcQB3rzjKnRUXlxjh+7kLacYOpxPGY4RwAA620owrxlJ4SzucgBvKeK8pxf6m19S3t6katNyi9slKWemezy+J/ZCImEmpp17RpOrUtK0YJZcnB4SIstovwLyvRuV5TyqW8JxxUi5Tw1FRws5fdjOSikBcqnZ06Cr0lRcK1epFdpSlNYT9GKxy2ee/f3HGs7e0talWhb06mLqcIuvBtqKjF4a+fUCsM8E+DtOGXAnw8WNs92e8tryFGxhdSpW1GbheSpw7WLkoxxnHP7m9e2t6NaqvN5TpRvYLs4ZbceCTaQFKbTpzpqDnBxU1xRbXNd5L1CEXTo16ToSpTcoqVOk6bbWMpxe22eaJmmSjStKfnUoRc6jdm6iyoTw8yfdHOPms9GBUVaU6NSVOrBwnHnGSw0ak2rbzWn1pVaUndRulCbazLeL2fizTVaUaGpVqcIcEY8Po45eigIoAAAAAAAAAAAAAAAAAAh6n7PH4l9mVhZ6n7PH419mVhKAACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABZ6Z7PL439kVhZ6Z7PL439kIiYSqjv6kp29WdzNwjxTpynJqKW+WmRJeq/Av9ZxU87p2ee0hJTuYvnOPCsNf0rqvn4UUtG4r0OLsK1Wlxc+CbjnxwaOUnHhcnw5zhvbPeXNxQs6Llb4i6fYcUZRoSc36OVPj7s/LGxwq0KMbaeodnFUp0VGEOirPMWkvdiUvmgIFZ14zlCu6ilnilGec5a5tPrgw61XOXVnni4s8T5rr4+8tLyNK2d3UjQpTlGrRjHjjxKOacm9vl1IWqwhC+qKnBQi4wlwx5Ligm8fNgaXfnbuHTvJVpVo4WKrbkvqaXEK1Oq6VypqpBKPDN7xWNl4Hob+UKl9cX1Rxc9PqTUov9e+aX/c2vBEa/SjcXt12Ua9aLoxxOPEoxdPeTXXdJb94FRG6uISlKFxWjKSSk1Uacl3PvOcpSnJynJyl1beWW9S3pUlWuI20HXjb06joNNxg5PEnw+5YeHy4gqFPCuPNYdv5q6vm/C+HPHw8XD3cPpY/AFS6c4whOUWozzwvo8czUumo3FCxpVqFOk7iFWEMR4VGbkuGSXTLSXduyvvqUbfsbfgSq04ZqvG/FLfD8FheOQIoAAwZMADIAAwZAAAAAAAIep+zx+NfZlYWep+zx+JfZlYSgAAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWemezy+N/ZFYWmmezy+P8IREs37WoqnaKpPtP5+J5+poCjp5xWVHsVWqdl/w+N8P05GnFJw4OKXAnnhztnvwYAGzqTknxTk8tN5fPHIxKUpvMpOT5ZbyYAG0pzk5OU5NyeZNtvL95tC4rQq9rCtUjUxjjjNqX1OY6gbxrVYVe1jVnGrnPGpNSz4jtqvbdt2tTtc57TifFnx5mgAkUrqSuI1rhSuHF8SU6j597+hxq1JVas6tR5nOTlJ97fM1AAwZAAAAAAAAAAAAAABD1P2ePxfhlYWep+zx+L8MrCUAAFADONs9AMAw5JGFLPJNkGwMuLXNYMFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAs9M9nl8b+yKws9M9nl8f4QiJgAKAAAAAAAAAAAAAAAAAAAHW3t53E2oYSSy2+SOLklvJpL3nF39RS9CWOawhaJ9W2VF4m2+9r7IjVcTlGEXwLdykuiXM5yle1KPE6VVxX6uF4IMpTy02+4yqVK4/RRhhPk23KTNqdd5xPCZDjUlH58zZ3FRpJzbS/Tnb6AWKBFpXkXFQnBL+pEr3mkQ9T9nj8f4ZWqLlslks9SWaEV/WvsyHS4U8d2Mko5Kk877BpcXCt/f3HRSTWOrNJY3a7kRWNo7fU1b5vojGcNv3mrfoYAQjxvL5dEbSqYeI7GHJRhhHPPXqBlyb9wy+8KLfuMpJ8k2BmMn13NufI1cJLmkvmYzgDcAFAAAAAAAAAAAAAAAAAAAAAAAAAAAC00z2eXxv7Iqyz0z2eXxv7IREwAFAAAAAAAAAAAAAAMGQAADAi3EpOfDHLfJJdT2ui6Hb2FrGVWnGdzJZnKSzh9yPIWaT1ahxLKVRbfM+iZ5JtGVcpqOMYWO4gysbVTc1RgpP3E6bjnmc2o82wKS/0i2uPVgoy747HmNQsZWdXGcwfJnuauN8NHm/KLajFPnxAeeLO3fFQg3zxgroLM4p8my1SwsLkWJUPVHi3j8f4ZVxniTz1WCy1b2aPxr7MqdxVjeM8Mcb7zVQk+huqFTngg0beWa5NpQlHmjXAADAAznkuhnjfJbGoAyZTS6GuTAHeE4rmtjLx0eURzZNpgdQE8oFAAAAAAAAAAAAAAAAAAAAAAAAAs9M9nl8b+yKwtNM9nl8f4QiJYAKAAAAAAAABhySaXUxUlwQcu5EGdzBbyluxaJTe8m5Yiub7jV10oPdMgVb3jXCniK6HHjlPGNku9mVWFO5ai8Jtd5JpVY1FtzKuNZRxl5O6qxU4ySaLosQa05qpHiRkqJvk1a+ca1KpLeNBOfzey/Jfam7OkpTubudKeM4jLddFscfJ+jTtri5cXl1IU5eCwyyuqNOpCUeCD4ueY5z4mVUVlWrVayjb3brUn1mt/qddQd3TuYUYVYw4k3xPoWtna06TxFLi64RG1WmpVIye65fUCiq0LJycaurTnW652Rpd2s52FSCk6nZvii33FlPTqdefaVIwlnGW488EhQo0KDhBJRxyA8RSeKsH7+hZnG2pxxVlHnGePk8/wBjsWJUTUacqtCEY8+NfZkenawgllZ8SfX9ReJwFWNFBLkjODJgg5zpqXM4u2RJYAjqhFdDWVvEkmGBAnRa5HJxa5osZRycp000BBB0qQ4WcwAAA6U3s0bnOn6x0KAAAAAAAAAAAAAAAAAAAAAAAABZ6Z7PL4/wisLPTPZ5fH+EIiYACgAAAAAAACNeNuHCn4nTT/JqvqFu6/GoxzhZXMy6DuLqlRTx2ksN9x7+2oU7a2p0aSxCCwjKvCS8j7mO/HF+5Eefkvfw3SX1PpGFtsHGL5oD5Vc6Td2y4pwe3Ujxq1I7b+B9VrWtKrFxlBNPvPJ695O9lTncW3KKy4gU1jNqXC8brOCaVdipKvHpvy+RaGolei0mrSqWlNqUVWguzks7tdP2LCdVwhtuzyFGo6NaFWPODTPVqrGpTjKLymsolVynC6VOE6dx2b4uKa4c5XcVVWWpTusynHs5Lk+qJtSjfOLnUvIU4c1GMOXjuVlZ3kn6N3CrLucWiCyjXdOjie7INepJqTjyw2YU5xjBV8cWN0jlczXA4w323A51lRpW9OlRacsJzaXN/wCmRwDSOdb1F4nA71/UXiRyVYGDJggwYZkYA1MM3wasDU1kbmjA4VY5RFJlX1WQ3zAwZAW7A3hHG7NwCgAAAAAAAAAAAAAAAAAAAAAAAAWemezy+P8ACKwtNM9nl8b+yERLABQAAAAAADMIuc4xXOTwB30Sl5xrC22pbtnt4LKPMeTVvGnqt5wScocKcZNbtNmNa1a6tKslC6hBp7QUeSMq9XhDB4qx8qb2pWhCqqco5w3jDPQajqM7S2VbgcsrZAWrS6HC5gpQlFraSweMn5VX858CnSoxz62M7F7o17cXOYVaka0P51s0/egPHSoTtdWqUaiw4yeCYSNaoSqeU0oJqPoxbk+S2I5YlC40udWNtGU1/C4nGLKc9D5PPt7GvRrR4qUJpxxzTfP7Fo71JU3T9Ke3cVlZ0Iy9CWGSr7T5qL83uF7oz2ZSSs7jtHxuK9/FkypcVE5rEm2XGk2UqObi4j6bi1Cn15df7HCwtqdCXFCPHV/nl08O4ubbaXFLdgeRw1s1hrmmC78obOpOr55Sp5p8KVSS6Pvf7FIjSOVw0qaz3kbjR3u48VJL+ogyozf6iVYkcSMZIbVaD55Mxry5SW5BKyMnKM+LkYlPCA68RhyXUiyrteqjT+LU5JgSnViupjjjJbMjOjUXNGOGSA61V6LIhLWZQ3IslhtAYMx5mDMPWQHUAFAAAAAAAAAAAAAAAAAAAAAAAAAs9M9nl8f4RWFnpvs8vjf2QiJgAKAAAAAAbU5cFSE+kWmagD2djRhC8q8EcLsoRyuvP+5rfaRQrNzVvTlUaxme5nRbhVdOo1G8ziuGXy2/14kq6vaVvSc5vCRlVHR8m4dtGc1CEYyyo000vuXGpWUL22VFrY507+Mabq3bjRjs45fNf3O1TUbOMMyrwSf9QFHDyc7OSzSo1IrlxReV+5b2emULSOaVJU3/AE8jjLVFRucNOVvJ4jPPJ/2LKNeEoZT5gUeo06Ubm8qun/EdCLU30w3/AODzR6vWqdSpaKnbUp1K1VqLUVnEefy/8lbbeTN9Vw6zp0F73xP6L+5YimPTeTNrUpW1WvNSiqrSjFrml1/cmWWgWdo1OcXXqLrU5LwRZVN1lfQWiHXgsPZMq68I8Tbp/sWdaqo8/wByBVuYOWycn3IitKUW+S4USIdyOMFcVvUpPHv2JlGya/xp5/pWyA6UajaSh6q5s4XWiWd43NQdGo/1U9k/lyJ8KcUt+XcdONLoB4rXNGqaZbRrSrQqU3Phzhp5w3y+R52d1TS2bfvSPceWkVV0ikpLbt1/lkeInRi6fB+n7AcfOYS23+YXpPkFQhHK3eTtTpKKWOgG0IJI5V4+iSYrBzqrMWBHpRi9zo7mnHll+COainFxecPngVIRnTUd/R5MDPnVOXevFGW1JbHDsdsbm0KMotYl8gOkFucLiGJZJcY4RzuI5g/cBCC5mYrLwbxSxut0wNkACgAAAAAAAAAAAAAAAAAAAAAAAAWemezy+N/ZFYWmmezy+L8IREsAFAAAAAAAAE/Rq8qOoU48bUJtxazs8rb8F3eW9SrWjWpqM+BYUZcs955VNxkmnhrdM9RYXU6sYVJcpxzjHUlIzGvO8oSpz065Tg+GUfQ2fet+RDp6UqVR1FaXdRr9DUUl+5dXPAocc4cX3IUbi1uJcLlWk87xnUlj6ZIqPVrwuKsrN2deLjtJyS4V80yba0ZUaUIzbbXf+xJfBTo5SXPPizlbN1qspveMd3733AWMFGmtkk3zfeHUOcXmPg8LwNlhxA24zDk+iC6GcAcpNdUc3w9Kf1JPCY7NMDguJ8ljwN4xwdcLoYwBrgyo7m2OplICh8sVjSaX/PX+WR4mSye28s3jSaK766/yyPFNAaKKN0YbSEN1l8gN0aVFlGzksHOU4p7sDl1M8ORJY9JPYygMdn7zZRSMmreANjnVfoscRzqy9FgRqeFJNnWUcSfc9znGDysdTtU9ZLuQGgAKAAAAAAAAAAAAAAAAAAAAAAAABZ6Z7PL4/wAIrCz0z2eXx/hCImAAoAAAAAABh+jz5MDJ6TTqEpaTQqRyqiTxnljiZ5V3KjnEU30ye+oV6d1aUbiklwVIJpLp7vkS0a2l5Srx4J4jOPOLOzhbN8TUU+8qtTs41N4+jLo4vDRSO0rzqcE7qq03y4iKvb28VxVVratSl+qS/SixtaSo0+CHRfUgaXaU7amoxWO995Yt8NKpPb0U5b+4DaL3cfmbQa3RAsNRt76p/Bn6WN4vmibD1gO0eRtlHNM24gMmlWbykjPEluzipcVUDuk0kjKW4XIy3wxbYGJc8GG98GM5WRT3nnuA875bT/3W3h/Xn9jx7Z6byxqOdSmk9ov+/wDY8s8gatuUsIxWjUcEoN/I6Ril4s2AjLtIU3xSb8UcKk5N7EycW2jSdNdwEenOWMN5O8GwklySRnYDfJpJ5MNmucgYbNJ74Xezdms9nEDrGOKeM7I4SeZNm8qrawtkcwAAKAAAAAAAAAAAAAAAAAAAAAAAABZ6Z7PL4/wisLPTPZ5fG/shETAAUAAt9kA8DdUpYzP0F/V/YxOpGlHhj63WRFnWlLabbXR9xNMd5VqcFtFyfe3sRa1aVSec/I1ba8Tm85IrM/WLvyc1uNi3a3Tfm83mMv5H/ZlHLozAH0tKnXpqdOUZwaypJ5TIs7Vdpnh37zwlre3VlPitbidJvmovZ+KexbR8rb+NPE6VvOf8zi1+yYHrqdPEUio8ptWhb2krGhNOtVWKmH6keq8X9jztz5QandJqVx2UX+mkuH9+f7lcure7A7Uqs6M4zhKUZJ5TT5F9Z+U1xS9G4jGql1ezPPZyjWUmB9F0/V7S+SVOfDUf6JbP5d5ObPmUJuKjhl/pflFVo4p3LdWn3v1kvyB6ub2OdN+m2Yp1qdemqlKalGXJmafrc0BKW+Ec5zVSeF6sTFzU7Gjt60tkawiqVJL6gbSZlzVKk2+bOcfSfu6kW7r9pPgjyQHn/KSXHRc3z44L9pnnGej8oMf7Pk8b9vH/ACyPN5A0qVVT5nOVz3HR01OWZbm3ZxjyQEfzjCNXXb6neah1SObVPuQGnbJm0Z8Rq6UJclgzCnwgbcxjcxnczkDD2Oct5G7eWaPmBgAFAAAAAAAAAAAAAAAAAAAAAAAAAAACz0z2eXx/hFYWemezy+P8IREwAdCgHLhTfcDlXliKQo4zlvzOcmZbT5fQ0e3XKMqZykw+hiL5r3mU8oBzRjGxsANWsoxwm3JjAGFDqDLeXgYwBmPI1kbLkYlyA2zhLwMp7M1b2RhSwkgL7QNRlQuFRlJ9nUeN+j7z1tD0qmD5zSk1JNc+nuPo+lYq2VKv1qRTYHO5l2l7CHRM3rycqsaaN/NP957V1OT5YO0benGo6mW5PvYEG5q8H8KD9J82caTprjefRgsykydc2tKpSmoR4KjW0o8ymuaFfhjTjKLox34HlNvvb6gVnlBWVXT5uKxFV4JPv9GZ5tM9F5Qwqw0NTnCMM3UIpRec4hL+55tPD3A3yGxzM4A4yjk0wd2aPAGi2MSkZaWDVgaN7mcmr5jIGy5natSSoqWMSXMUKOPSn8kb3Mv4WO9gRAAUAAAAAAAAAAAAAAAAAAAAAAAAAAALTTPZ5fG/sirLTTPZ5fF+EIiWACgR7l7kgjXGHPDeCUiPLns8M14t+59UZk8bTXzRpJZW3pL90RWYy9Jm0XzRxjtU79uZvF7gdDJrkymBloA1b5sAt2ZNYPmbdAMrkYlyMoxkDWTxgJ+lg1m9zVPLe+wHeMt9vqe98l7ri0aEW/8ADnKP5/J4CMs4UeX3PWeS0sWFVcSX8Tf3bID1EqqfQ4zuFBelNRXvZAq3MYr0rhxS7sI4wou6muwpOonzqz9Vf3+QE5XKk8xqRlH3GvpVK7hwvPTK5ne0063tZcfDxVGsOb/t0JfHhgec8qqLp6RRi+SuE91zfDI8TUi1L3ntvLms46TQa6XEf8sjyLUZrcCMpYDmbTotbxeThNSXNNAbSl7zm5mjbNQOnGatmvPludIUc7zeF3IDWKlN4iskmlRUN5byMx4YLEVgZbA3bzyMypKpDDeBFYN4gQatN0pYfyZoTLuOaWeqZDKAAAAAAAAAAAAAAAAAAAAAAAAAAAFppns8vjf2QAiJhgAoEStiUnnZgEpHB8UNmso14U/Sg8PuAIrSS3UuXf7wnuAB0T2GQAM5NZPYADEGdMgADDfNgAcpvfwRiKSxl5fcgAOseJ7Rjwot9IqV4xnSo4zPHFJ8ogAemtrC3pKjKsu1qTbfFPffHTuLaM0kABs6mxq5rAAHmfLd50mj/wDcR/yyPMtbbAAa5aNXLPNAAcZ06cucUcnSgugAGUkuhtlsADZJs3SwABsjbIABxVSLUllEWtbunut4gAcQAUAAB//Z" 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>
]]></content:encoded>
			<wfw:commentRss>https://mauverick.com/a16z-generative-ai-3/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://mauverick.com/a16z-generative-ai-2/</link>
		<comments>https://mauverick.com/a16z-generative-ai-2/#comments</comments>
		<pubDate>Sun, 28 Dec 2025 14:20:16 +0000</pubDate>
		<dc:creator><![CDATA[Mohan Varadarajan]]></dc:creator>
				<category><![CDATA[a16z generative ai]]></category>

		<guid isPermaLink="false">https://mauverick.com/?p=12997</guid>
		<description><![CDATA[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 mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]]]></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;' src="data:image/jpeg;base64,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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>
</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>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</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><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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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;' src="data:image/jpeg;base64,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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>
</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>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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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;' src="data:image/jpeg;base64,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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>
]]></content:encoded>
			<wfw:commentRss>https://mauverick.com/a16z-generative-ai-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://mauverick.com/a16z-generative-ai/</link>
		<comments>https://mauverick.com/a16z-generative-ai/#comments</comments>
		<pubDate>Fri, 12 Dec 2025 22:00:16 +0000</pubDate>
		<dc:creator><![CDATA[Mohan Varadarajan]]></dc:creator>
				<category><![CDATA[a16z generative ai]]></category>

		<guid isPermaLink="false">https://mauverick.com/?p=11211</guid>
		<description><![CDATA[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 mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]]]></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;' src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDABALDA4MChAODQ4SERATGCgaGBYWGDEjJR0oOjM9PDkzODdASFxOQERXRTc4UG1RV19iZ2hnPk1xeXBkeFxlZ2P/2wBDARESEhgVGC8aGi9jQjhCY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2P/wAARCAFoAeADASIAAhEBAxEB/8QAGwABAAIDAQEAAAAAAAAAAAAAAAECAwQGBQf/xABHEAACAQIEAgYGBwUIAQMFAAAAAQIDEQQSITEFQQYTUWFzsSIyNDVxgRQzUpGhstEHI0JywRUlU2J0guHxVCSS8ENjZKLC/8QAGgEBAAMBAQEAAAAAAAAAAAAAAAECAwQFBv/EAC8RAQACAQMEAQIDCQEBAAAAAAABAhEDBDESITNBEzJRBSNxFCJhgZGhwdHwsfH/2gAMAwEAAhEDEQA/AOYAByKgAA3VsjBVnJVGk7IzrZA6ZjMLNXrJ/aZEpSl6zubZhxG0TO1cRnKF6P1aKYj+EvR+rRTEfwlrfQMBnw+0viYDPh9pfEz0/qIWrfVswRqSirJ2Rnr/AFbNYnUn94lnozlKdm7qxlk7RbXYYKH1nyM8/Ul8C9J/dGt1s/tHS9G4zngKkv8A7r1ei2Ry50vRv3fU8V+SOHcz+X3Vnh7NoreV+6KK1FGpTlDKknz3YB59bTWc17KNbDcNp1ZzjXrKiktGo3Uv0/EwU8LVnUvP93BaJJ8u49AHoT+Kbia47fqp0QmEpQiowk1FaJJ6E9Y3uov/AGoqDzsyutmi94L5Nofu39pfc/0KgjItli9pr5pjq5cnF/CSKkDMCzhNauMl8jPSweJxOGlPD1oU5QbyqcFK7t37bmum4u6dvgbuAxiozca0pOLd1zszp2tqV1Ymye0sXB+H4aeBlVxFW9aV3OXWfV9zW1/ia8JU3BSi+svs9kb1TF4fF4CpSfWYd3lTaSTc097bqz7Tz40uphGC2S0fadn4jfTtiY+r/CI7doXlJy3dyVpTb+07fL/5YoXqaSyr+FW/X8Ty/wCIoSQCokAAC11PSb15S/UoWVObV1F27bExkVm1T9bT8SaUoSTmmpJbLtZFTFfQopLDU51pP6yqvQj/AJV8t9SKsql6c50acJVLN9Xomvh3XPZt+G1rpdWe+P5K9Xd5fSVt4CDerdVeTOZOl6SewU/FXkzmjn23jaxwAA6EgAAAAAAAAAAAAAAAAAAAAAAAN1bI1qzfWPVmwmrLU1631jN9ThMqXfaxdvmQDBDZoO9P4CtByirbow055H3Pc2IzjJaM3rMWjEpatne1mbFGDjHXdmQrKcYrViKxXuK13aFu1msXqTzyvy5FDK05kZaH1nyM8/Ul8DXofWfIzzayP4GtPpIah03Rv3fU8V+SOZOl6N+wVPFfkjg3PjVnh64APOUACAJIJBAAEASAABAJAExlZWavF8ipJIhVIwr5Y3m1rovu/oWUJyV1GTXbYxTp5pqSlldrNrexdJKKitkrI6db4Oivx5z7RGfa+RrdxX+4ZYred/5V+tigObMJXvBfwyfzsM/ZCK/HzKkDIv1k+UrfDQq7t3buQSMzI28PjZQgqU43WylpdfeYZVZVHKM6krPa9kl8kjCXq/WSfa7o3/aNSadGeyXj9JU44GCas1VXkzmTpuksr8Opp8qqs/kzmTq230LRwAA6EgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJu+1kAAAAAAAA6Xo37vqeK/JHNHS9G/YKnivyRz7nxonh64Bt0cHKpSU3RrNW3VtTgpSbziFWoDcjhYLCVpVITjWpJNpvTXYUcG3hJYicJyvpCMefe+4v8ADf8Atkw0wZKWHrVouVOnKSTs2kRUpVKLUakHBtXszPptjOOwoACqAEEgQSABAAAkgkAQASAIAAkEEgQXn/C+2K/T+hUxSxdHSGZ5o6N2djXT0r6meiM4JmI5eb0k93w8VeTOaOl6SewU/FXkzmjt23jXjgAB0JAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADpejfu+p4r8kc0dN0b931PFfkjn3PjRPD2KeXrIZ/UzLN8OZ6OKjjZY/NSzuN1kcfVseYZI4itCGSNWaj2KRx0vERif7KxL1sTlzY3P6tqd/gYcU8Z9Oj1Gfq9Ory+rbyPOlWqyzZqknm9a73M1PEqFNQVSvGNtVGXkbzr1v24/wDs/wC05bro58fXqQlNUIO8lTb9KVtkkaGNqVqtdzrQlBv1YyVrItSrwpJqFSvFN3tF2MFSpOq71Jyk1tmdzPV1ImuI99yZVABzqgAIEEgAQSQSAAAEEkEgCCSAJIJAFZLNFpbtGioPMlrnTVl2W2PQIO7ab222iYiM5VtXLx+kEcvC6KfKovJnOHS9JPYKfiryZzRroWm1cz7lrXgABukAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOl6N+wVPFfkjmjpejfsFTxX5I59z40Tw9cEF6VOdWeSnFyla9kedETM4hRUFpwnCbhKLU1o0ZlgMU45lQlb5eRaKWniE4a4JySz5Mrz3tZqzuZ/oGK/wJfgIpa3EGGuC9WlUoytVhKDe1+Zkp4LE1IZoUZOL2ewilpnER3MMALVKc6UstSDjLsaK76LcriY7SgBsLA4pxzKhK3yv9xgySz5HFqd7Was7lppavMJwqDZ+gYr/Al+Biq0alGSjVg4tq6TE0vWMzEmFAZaWGr1o5qdOUo7XRf6Div8CX4Exp3mMxE/0MNYkydRVdHrurfV/a5dhFKjUrScaUHKSV7Ir02zjAoQZoYatUlOMKblKDtJLkX+gYr/Al+BMad57xE/0MNcBbAqgIBJA8jpJ7vp+KvJnNHS9JPYKfiryZzR6W28a8cAAOhIAAAAAAAAAAAAAAAAAAAAAEx9ZfEgmPrL4kxyLVvrGVW6LVvrGVW6JnkWndzfo2fYh1U+z8S0pZa7bGRSd4TV+/cnEJY7Nu1tS3VT7PxEYyc2r2fNkxUcyyz1vzQiPuMZKV5JLmWq/WSFJ/vIlcd8IWlJU/RglfmyFVb0mlJFZq1R37S8eqlJLLLUtmcpY+ehbqp9n4l4RSqy7timXW/WK4wIUW3ZLU6Po37BU8V+SOenJZoyTTfOx0nAEvoU2tnUb/AARzbqPy5Vtw9M3uEe3L+Vmklqru3eexh44DCz66GITeW1nJP8Nzj29c3i2eEQvhaUZcTxVWSu4NKPddGjPiuJdVzjJKF9IW0sWw/EFTx1WrJPq6r1XNdjM0sPw2dR1evSi3dwzJf8nRNpvXGnbHec+vaeeGTHwjN4TEJWlKpFfJ6mxiqeKnOLw9eNONtU1e7+48/F46FfE0I09KVOad3pfU2MWsFipxlPFKLSt6MkbddLTfpn7e8JRxSpGEcPCrFytNSlK2jS3Nmsq1dRnhMTGMbbWTTNLHYnDSoUsPGbqRTV5LVpLv7Seo4fOSqUsU6Pcp28yJvm9sTEx294/uNbiX0nrY/SUtFaOXZ9pm4LSjOrUqSV3BJLuuV4ri6ddwhSeZRu3Iw8Pxf0Ss3JNwkrSty7zmi1K7jMzmFfa9TimJdZyhJKCekbK1jcx0I1FhMSlaTnFfJ6mOWH4dUqOr16Sbu4Zkv+THjMbCvXowp6Uqc07vS5rma1t8ls547p/V6OKp4qcovD1o00lqmr3PH4jGvCvGOIqKpLLdNK2l2ZeLV4VatN0qiklF3ys0G293cz3WrW1prH/vb+iLS2cHi61KcKUJ2g5q6subN/imKrYerTVKeVNXeiZ5NFqNem27JSTb+Zu8WrU61Wm6c4zSi72ZWmpMaNoz37ET2beFouvwaNJNJyvq/wCYnAYCeErSnKpGScbWSNZV6X9i9V1kes+zfX1jFwmtCliZSqzUU4Wu33o6K6mnF9PMd8R3zwnMdm7w32zHfz/1kTKhxFJv6XC38q/Qw4HEUaeKxcp1YxjOd4tvfVlXhsA3f6bL/wB6/QmtonTiI/j7x7T6eWttCSFsSeWzQCQB5HST2Cn4q8mc0dL0k930/FXkzmj0tt4144AAdCQAAAAAAAAAAAAAAAAAAAAAJTs0yABlk6cpNtyKvKmst++5QFptkXlKLqOTTaJXVp3zN25WMYIyMkan7xya0e5CyJp5m+6xQDItN5ptrZlQCBkzxmvTTT7USnTg7q8mYgW6pSuptTzdu5Nqb1u13WMYIyhMrX9FNI6Xo478Pn3VX5I5k6Xo37vqeK/JHNufoRPD1zejwnESipKVOzV93+hoM6CvCnPCUVUruirLVStfTY59vp1vFpt6/kiIy8qrw6tRlTjKUL1JZVZvf7jFicNPC1FCo4ttX9Fm66dKGKw3V4p171FdOd7FONe2R8NebJ1NKsUm0RxP3yTDA8FVWFWIbjkdtLu+rM/9kYn7VL/3P9DPV9ww+EfMjg1Sc6lXPOUrJWzNvtNK6Wn8laTHMR/lOIatbh1ajkzOn6c1BWb3fyMWKws8LOMaji21f0WXhUnLH01KcpJVlo22vWNjjftFP+T+plNKTp2tWOEdsNX6HV+ifSbwydl9d7GanwvEVKcKkZU7SSau3+hsv3B8v/6M7oSxHDaEIVOreWLv8jau3pM8Z7RKcPLxOAr4aGeaTj2xd7GSnwvEVacakZU7SSau3+hu4m2E4bKjVq9ZOSaV93/0XyQnw2gqlZ0Vlj6SlbkTG30+qY/hnGf8mIeXisDVwtNTqODTdvRZqm7jqdKFKLp4t1m5axc07abmmcerWK2xH+1ZQCQZIAABAJIAkAgCQQAPJ6SewU/FXkzmjpeknu+n4q8mc0eltvGvHAADoSAAAAAAAAAAAAAAAAAAAAABMdZL4kEx9ZfEmBapG1RxiiZqMI5d5c32GVpKcrNZ2tDXd767lrRhIk3sLW3Mkc+T0bRXb2kyu6Tz6tbMjp7DH6OTnmuVMn/0P9xjIlDKlFUlJxu723Eerm8uVxb53JSUqCTaWvMKEYWm5XXKxp3SxSWWTXYLO17MyRs3Oo1tyK9bO9737imIFCbN7K5klBOqktnqTLrL2imktrE9IwnTdG/d9TxX5I56om4KUlaWzOj6P+wP+f8Aojm3UY05Vnh6Zv47F0q+FpU4Zs0Gr3XcaIPOreaxNY9q5TCThOM47xd0epLG4LFRi8TSalHufmjygW09W2nmI4kicN7H46FelGjQg4012q1+xEcNxVPCzqOpe0krWVzSBPz36/k9me+VpT/eucXb0syfzPTljsHioR+lU2pR7n+DR5RBFNa1M49kS9DHY+nVoKhh4uNNWvdW25EYnF0qvD6NCObPDLfTsRogtOveZmZ99jL0MVjKOKwcYzzKvHW9tL8zJHG4OWEpUa8ZyyxSatzSPLIJ/aL5z2+yctzFzwcqS+jU5Rnm1bvsahBJle3VOUAIJKICCSAJIJIAAkAQCQB5HST3fT8VeTOaOl6SewU/FXkzmj0tt4144AAdCQAAAAAAAAAAAAAAAAAAAAAJj6y+JAAvUf71tMmVpxzaKS3XaYwWyMrWeEbNXW6CtGlJNq/YYgOpLJddTa+tzGARM5QyNrqEr63FOSacJbPbuMYJz3GSDUXKMno9LjqtdZRt23MYGRklP94pLZbEyjmd4SVn3mIDP3FpK2ma77jpuj7T4fK32/6I5c6Xo37BU8V+SObcz+XKJ4euCHojYnSj9P6qKSi6ijbXtPOiuVWAGV0bUFVu3dX0jdLXZvkyamGcKTneWjV04237Cei32MMJBsU4xjShLJGc6kmlmeiSt+pLw0pTk3TcEknaHp3v2a9z5k/HM8GGuDNPDSje3pO6VrWeu36F1g23pKTTk4xlGDa05vsQ+O3GDDVJNmNGHV+mrNU5NvfVSsVjhXK0oScoZc11HXe1rdtx8dvRhrkmd4bLmc5uMVFS1jrq7bGuVms15AAFUJAAEEgAAQABJAAEggDyeknsFPxV5M5o6XpJ7vp+KvJnNHpbbxrxwAA6EgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB0vRv2Cp4r8kc0dL0b931PFfkjn3PjRPD1jPLEuVRVOrpqakpZknuvmYHszfxis6vU65p2qPmuxfD+pxUicTMSrDUjVcYOMYQTccrlre332JqV3NTvGCztOTSerNiNGmqsMtlKFaMHlk3u32rfTkY8I7VpvM4Wpy9JbrTct02iYjPIxU6rjBwcYzg3fLLt+RZ4iTbzRg4tJZLaWW3eZ6qU4x6yUq2Sm6mbbMrqyvvpr+JWNGnKKqWyrq82Rt/atvvYdNo7RKWGnXlSnKdNRjdWsloiI1bQUJQhNJ3WZPQyuFFRqTSzqME8qbsne25adGlmqRjFrK465r6Pl+JHTb7/9/wBCGGNeUYpWi0ouNmuTdyevlf1YZMuXJZ2te/x3M3V0My/dP63q/X5dpCo0YRh1kl6cmrtu6SdtLLcnpt9xg6x2moxjFSsml3FDbjkVFZoqdqDs/wDezUM7xjHcAAUQgkgASAQAJIJAAAAAAPI6SewU/FXkzmjpeknsFPxV5M5o9LbeNeOAAHQkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOl6N+76nivyRzR03Rv3fU8V+SOfc+NE8PWJzyvJ5neWjd9yAecou61V2vUm7NNa80UTavZtXVmAMyJjOccuWcll2s9ietqdZnzyz/avqVAzItKpOTblOTvvd7kZ5XbzSu7X137CAMyJzy+0982/PtJjVqRTUakknq7PcqQMyLxqTg04zkmlZWeyKkEgQCSCBIIJAEEkASAAIJAAEEkAeT0k930/FXkzmjpeknu+n4q8mc0eltvGvHAADoSAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHS9G/YKnivyRzR0vRv3fU8V+SOfc+NE8PXBBJ5qgAABBIAAAAAAIJIAEggkAAAAPM4lxP6NJwg1CS3k45vu1R4GI4vOtNrra01y1y/gmduns73jMzhaKuysDjaXEVdXnOD5NKJ6uD4lKVRU1iXKVvVnD1vhbc0tsLR9Mp6Xug044+KllrQlB9qV0bcZKUVKLTTV01zOLU0r6c/vQrMYSCCTNDyOknsFPxV5M5o6XpJ7BT8VeTOZcordo9PbR+WvHCQU66n9oddD7R09M/ZK5JVTi9miSMYAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB0vRv3fU8V+SOaOl6N+76nivyRz7nxonh64APNUAAAAAAAACASAIJAAgEgQ9Fd6I8jH8ZpU7wpybkufJmbjWJdHDKCdnNpM52hQeIrqVR6btHp7TbRMdd16x7RiFXxMuuqZru7S7DHDBu7aVl/ydDRjBpJpWPTw2BoytKUUeku4+pw+c16MdLLQLC1qEVlpu61u73R9Aw2Dw0LtU02bbwNGS1pRd+4D57QxdaGmIlJw7Oz59v/AM1PTwWLdKuoyqRdKWt7W+Z0OL4JhqtOcVTSzLTTZnJzws8PUdOtFuFO6lbeOu/wKXpF6zWSe7owYMC28JTvLNZWzdpsHgXrNLTWfTJ4fS2/9l07f4y52/hkch6LV8v4nW9MXbhVLx1+WRxuZtrmevsvEvXhmjJrZL77lr1OWX5mC/zCk47NnWs2P3vZFfBF1Kolo2vijXjNc3qT1souzv8AJgbUara1V/gXjOMtmYozzr0bPzEoytfddjRSaRKMM4NeM5L1X8pfqZYVFJ2ayy7GZWpMC4AKIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6Xo37vqeK/JHNHS9G/YKnivyRz7nxonh64APNUACG0ld7EgG1Hd2PH4nxyGFi40bTn28jwXjMXxCpepWko/Zi7I69LZ3vGZ7QtFcuvnjKMHZzRKxVJq6kclT6uMrPVvQ2HOMYXu7div8A0On9gr909LqVUhLaafzLHHrE1rrqa04tbKWqfzPSw3E8QklPJJpa2ZjfY2j6ZydL3iTVwuMp4iO6UuaNo4rVms4lVBIBVDx+OUXUjFpXaeiNDDJRievxJtyUEv4XZ955lCi4UU29bXPoNDxV/RrHDNFyzJo9rBzk4q55NODVpLU9bC1YqMVJWNUvToM3oS0NCnKMUmnublOSa0YF5a6nicWwSqOU4rV6p80z2nsaOMnKNla8Zq1+wDxcB6MJQ09GT5G2Y6EbQfxZkPC3NurVsynl4PTHXhVLx1+WRx0Vp8dDsul+vC6fjL8sjkHH0YnpbLxL14VUdL83sQ1Z27DKo6/BEKDbZ1rMNtTJFNrW1u9k5e4nKwIi8n8WhlVaz10fatmYctt9WLaXYGwpqbtfLLzDaTtOK05rkYotJWfy1MqanHfb7wMkKlrJu99n2mU1LZeays2abTVr3Mb19wiVgAZIAAAAAAAAAAAAAAAAAAAAAAAAAAAOl6N+wVPFfkjmjpejfsFTxX5I59z40Tw9cAHmqB4fSbGzw9OlSg2s7bk+7sPcOU6WSz42jTsvRhdfN/8AB1bSsW1YytXl4lRuo3N3bZkoOpL0U8q52MLunZOxnotQsrnttG5ShCEklv8AebE6XWRSu8vYuZp08RFStBXbPWwOGliO/wDqwNFYZTuowsu3ka7jLC4j1rruZ2uH4bCEF6Kffbc0uJcFUn1kIqyeqsB5NKWVxrRlLv1Ohw1dV6SkmeBaNFODfo8u1Gxwyt1VfI5XT7Tk3ejF69UcwraHukDcHis2riKanXlyy03L+h5PE6saSjTTsras38ZUlTxyb9SVO343/oalanGeJkp3tex7+38Vf0axw8WWKnFeh1yXalYy0eJ4mlUUJzny0ke/S4ZUpx6ylXWXscdjz8ZQi66c3mkjZLocEq2I4d10LX3szxsVxvFYarKPXVElvlhex0/B1H6EklZWMWJ4V/6j6RRq5W94yV0B5/DuJTrTiqmJnGUts8LKXwex7ck50kpauSFCnngoTUWl2RshibQirK1pK1viB5zi406eaNpNakGfFt54p7qOpgPC3OPlthlPLxOlUb8Np+MvKRyqp8jrukqvgKfiryZziirnpbLxL14aqptLYvGk3ubGVF0kjrWa6oB4c2tBYDSlhtNijoO+x6FiHBMDzpUWtUjEnkd7ao9NwujTrU8su4CktNVsyYTcZeaKNWauzJlUo3fLmgNlO6uClH1EXOW0YnCoACAAAAAAAAAAAAAAAAAAAAAAAAAOl6N+76nivyRzR0vRv3fU8V+SOfc+NE8PWJAPNUaPFMUsPhKlp5JuLtLsOHxGJqYirKpJ+lLdrkuxHudKcRL6TGjvFK9jw6ccz0Xee1tNOK06vu0rHZXLZf8AJCd3rawebPZLU9Ph/DHVanVenYdayOH4WeIqJQg0nv2s7XhuBVGEb2uuS5Gnw/Dxo2UI2PboR5gbNOC2SLzpRlG1itNma2gHKcd4VKOavQS7ZR7e85ehisuJikrWZ9LxMVKLT1TPnUOHzqcRxmRWdB6ab7/p+JExmMDraTvSi32FjHh/qIfAyHzk8sWvjcO69L0Us62PNxknTqXektGz2zw+LLLin2SSZ6Wx1Zmfjnhes+mSXFFSw++vI8+niFUbqVHaTl2mvjqeScZZXKLSasa2aliEmpNW7tj0l3fcFxVL6LZzina7vyMnEca44ZV8M41YLfK7o5zheHpqMFGvOS/igoNns4jiFLDQpYaOHrTnVX7unGG/37IDY4bxOGIp3i0brqQTzTaSWqueBw7CZeITmqfVJp5oJ6X7T0cS9Yx7Fcx19T4qTZEziGOrPrKkp9rKgHgzMzOZZPJ6R+wU/FXkznEdF0l9gp+KvJnOJns7LxNK8LFkURdHWssixVFgBDJAFbGKvTUo3MxEldAefa3rK67Sri4SzQenkbMlZvS6MLjlnZbPYDJSacex9hcw0pcmtDMY6kd8okABkgAAAAAAAAAAAAAAAAAAABtIpKrGO7JiMi5GY1Z4pclcxutOXci8acpw3HM6fow78OqeK/JHF3m93ZHYdEvddTxn+WJz7umNJFuHuAgHks3EdIes/tWqpJ73V/gaFCr1dVN7PRnU9JML9XirXgrRqa7b2f42+48SvThOapxpxjLtse9t7xfTjDWOGKjTvUb5ZrfE9zCzcUowg5vsPLwmFqQbzyTV72R6a6yEP3aeZrQ3S9COOrUHeWFdvieng+I06iWji+w8TD4XEVa8M9WcqTXpJaW27n3mzLD1aF5KSaT07bAdGqlo51qjzauPqddariVTT2iv1N7CSVfAJJ2fM818Mj9KVSebMr+knunumBvYedGrHNSzZk9W3fMaaw0KdfEZYtOs80u83aeGpKtKrCFpS3ton8hOmusdR/woDRoNOjBx2aTVjIYsPDq8PTpveMUvwMp83PLEPO4vQz0o1FutD04U51H6EW/ganHM2HwdFr7fpfNf9Hbs9O06nV6WrHd4HWZoKEltsThnRjXvUh6XNrRlWlUu46Pmuw2cPOjUlTU42mnaR67R72Bx1O8YwlJKyWyvoepCFO/WRV5NWzPV27DzsJDDxmkoxTPRzxirJgYVCMas5LeTNWpLNUk++xvU43k5s06VKVbh1LGR1U16X6nHvaTbTzHpW3DGADxmbyOkvu+n4q8mc2jpeknsFPxV5M5tI9rZeJpXhJZFUiyOtZZFiqLICQQSBAYIApJczBOCRsXWxjqrTQDBB+nqZVsUiru5cx1J74RIADJAAAAAAAAAAAAAAAAAVlJJXbsUqVVHvfJGtUqX1bu/wL1plK9Wv9lfM15Sb3dyHJshK7N4iISmKvqzJYrFf9lnJWstiRNu06/ol7sqW/xn+WJxrk38DseiHuup4z/LE5N74lbcPdAB4rNgxlFYjB1qLV+sg42+RykIOvGcZRy16byvlZrc7E4viFapheMYiqrVKdWV3ryWh6Owt3mq9W7/ABJ7XPUw6jJJNJnhYXGwxTajFxceT7D0sNXySsz1F3vUsPBRTjdfMwY2ShFJ7N/eTDFKNK9+R5OLxblik6qeWzSS5MDoeE1L0rLZm9OpTTUZySb7TwuDY2nGKgm3JP7z2quHjiaX7yFua7UBljltZGCrd54RTbaNOFavhMQqFVupCXqy5/MzvPOtFcnFt/erETGYwKqhFfWVEu5FstGGrat95jq0uwwW1yydjGm306cQjEN6jXdWdkrRirmhx2k8TgK0Iq8ks0V3rUyPG0MFTalmlOWtorkaz4xRbs6FSz70bpc3Tu8s4vczZYTd5XhJc0tD0K2BhCfWUdaFX0o6er3MhYVvkAwsak2sk3J9x7+DoVFBOq/kaXDsNKn2I9dyjShdvYDW4riXhsHKNP62p6EF3vQ9fAYdYbA0aEdqcFH7kc7hL8S4ypv6qhr8ZPb+rOm6+lDSVSKfZcDDWwGHq3eTLLtjoaFbhdWGtKSmux6M9eM4zV4STXcG3uYam2078wiYiXC9KISp4GmpxcX1q0a7mcypXO66etLgtBv/AMiP5ZHA5l2ltHS+KvTEkRhsJgxxkWvoapXRZGNSLKSAuCuZdozrtAsQyFNMm4GOpdfAo3mRlkroxSWW4FIcyxCVm+8k57/UiQAFEAAAAAAAAAAAAAAROWWLb5EmHFfVMmIzI1JTzSu+ZR6kX1B1LBFyWrkWAlNv4FooiKMiAWtudh0S92VPGf5YnH3Ov6I+66vjP8sTk3viVtw90AHis1KjkqU8ivPK8q7zmOKUKf0JOzzKCWbe77P6nVHlcW4dLEYWUKCTd8yXY+w6dveK2jK0OQ4dN08bFP8AiWVnQRpOcM0d0eDTw1SdSLpr077banv0KkqM8tSLi+cXyPbzGcNGzXpVaWHpVaazq2qua+GrTxzlGGH9KG8ZNXN+hVU6E8PfVelA1lSTrXd4y7U2n8NCR7HDMNjYqMYYanBN2vJm7jqGL+iNrFKNZtJRil2q/wCFzWw1fExil1kr730d/wADco0op52lmevx+IFFRyVqTlKUssW25O+uhlw7U8TOKWiiimLqxpQzSaXLV2+Bi4Qqka1R1WnN6u3LuA3KlLXY1amHUr2R6VWNynVaXA8PEYPP6y1RozwUoPRM6bq41FZrUh4RXWgHi4GfVw6qSS10b8jfhhoz9WKT5r9DPV4dF7ImjhqlOSyt5lyfNAYlSlSexrY3rqy6qkm5P8D0q12kor0pO1uxmelhYqi4J+k95AanB8H1GGyq2Zp5pLm2bscFSUUraIz04KnBRXJfeXAx0qMKSagrXLy9VkkS2A5L9ob/ALhw/wDqY/lkfPYzZ9B/aIn/AGBRf/5UfyzPnKuBu053M6vlualBXZ6EF6IGtKT5GKUpX0NmtHsWppVFK9gLpzvuZI5+epqOnNapSM0Kc2m1KattdgbMVK9zLG5rwnVpu1SLaNiMlLZAXMdX1bmRlWs0GgKQtlbfYVL5csfkUMdTlEgAMkAAAAAAAAAAAAAAYMU11bRnNXGLRa7svTlLT5k2aAZ0JLkbgsgJRcpfsJQFkdh0S92VPGf5YnG5r7HY9EH/AHXV8Z/licm98StuHukEg8VmAADTp4SVCpLqnGVKTzZJaWfczxsfWjPG1nG2kradq0Z7HE8fHBUWotOvNehHs733HMRut+09XZUtOb2Xr923TrNSUovVG/h8TTqS/eJJniSzXvHRmWnKq7XjfvPQXdjhKsMuyN5VFku7JHJYTFYiCSVmu89fDdZOzqzb/wAq2A9FwhWoSqVY3TeifKxOA+rqVW/WmMU3T4ZGS3av95SlJU8HTgn2XA9WOsVctpYpBpxVi4GPq9bl0tCwWrAWK1ZKEHJ8tTIYMWr0pLuAzUY56cakks0kncvoiuH9lpfyote7AkEACxVhADl/2g+4aP8AqY/lkfOXDXU+kftA04FR/wBTH8sj53zAy0Im5DY06JuQ2ASVzUqwnF3tdG6Q1oBqQmlo195nhOJLhHsCVgLb8gopcgiwFWUj/EXZjW7tzAtP1LmIyVNIpGMw1OUSAAzQAAAAAAAAAAAARKSjuBSdT08sd1q+4061R1J6O6ROI9ZyTtfkYb2OitYjulN0it2QWRdKCQQBI3ILXYCx2XQ9W4VV8Z/liccm3sdl0QTXC6t/8Z/licm98StuHugg87inGcPw9OH1tflTi9vi+R5FKWvOKwo3cRXpYajKtXmoU47tnkLjWIxEZOhhlTi/VlN3fxtt5nO47HYniFTPiJ3S9WC0jH4I3+F8VpU6caOKTjbRVErr5nq6OzrWM37yvFWxHDznUlUqycpy3berKSw7zJJHrUoU6lNTpyjKD2ad0xKjHZ7Has8yGHzaNao38Lhk7JrUzKgotSWpuQoaKUd+4DDDCKD7jdjFRoyfYi2S6V1qUqO1Col8AML4jQxGC+jqplrU5a05aSt225rvRbrG6EJJ8jy+IYKOKo5ZejVjrCa3i+08OPF+JYOfU1pKTho41I/1XmB9FwVZzoxvvY3YyON4T0swby08XCWGf2vWj9+6+46uhWp1qUatKpGpTkrxlF3T+YGw3qWiY0ZFsBJgxf1b+DMxgxbtSb7gNjDeyU/5UQ3aYwumEp/ykTV2Bk5ArF6EgSEwEBy/7QX/AHFR/wBTH8sj54fQv2hK3BKH+pj+WR8+uBlp6NG3DY06bvI3IPkBchuyBEvVYFWwjWlUlCWpeFW/MDZRLMcZFrgGRGGVdrYJk7K4GOo/SsUJbu7kHLM5nKoACAAAAEkAAAAAAAwV5ZXczt2TZo1pXbvuy9IzKWGpJyldlVqS2DoSgkkgBfsFmRcWuALJNsRjfkbFOlYCkKd2dh0XSp8LqttJKq22+Xoo5iMbGWtjakMF9Ci3GnKbnO38WyS+Ghjr6c6telExl6nFekdSpKVHAPJT2dXnL4di7/I8JNu73b1d+ZS1kWiy2np104xWCIwug1cBGiWTD4ithamehNxfNcn8UdNwriuFxzVKslRxHKLekvg/6eZyotcD6EqEdomWFJw15nLcF6QywzjQx7c6W0a27j8e1d+51sZxnFThJSjJXTTumBXM1vbuKVopwb+00XlaSs1dGHO3VcWvRhFP7/8Ar8QIq0k3Y53pHgW6UcTFa0/Rl/L/AN+Z0s/SRr4mmq+HqUpLScXED5/Y9HhHGMVwiup0ZOVGT9Oi3pLvXY+889p89+ZHID6zw3HUOI4SGJw081OX3xfNPvN5HzPonxGeA4xSpuT6nEyVOcb6Xfqv430+Z9KTAuauPzfRp2dtDPmNbHO9CXwA26Dz4Sm3peK2KuKT3l95bD+x0l/kRhcpQlvoBliXRhjNMypgXBAb7WBy37Q3/cdD/Ux/LI+dOp3H0L9oLT4LRSbb+kx5f5ZHztxAyQqa9jNqnUeazNOEG2ZlCS2AzzrTv6CXzM0HJx9K3yMVOOmqMyAw1qeZM1FJwlaR6EtFqa81CpdaAWpTujMma2GXJ8jZSsBMnZGNyb3LTeyKGGpM5wiQAGaAAAAAAAAAAAAABEvVPOqtOTttsAa6aYYyQDZK9tGUYAEJXMkIagAZ4RsZUgALpGvifrF8AAKxfIlbgAXTJ3AAjbcsABK10PT4PxirwyahK9TCt6w5x74/oAB2dGtSxNCNahNTpzV00VqU02m0m1s+wABl0KuOoAHBY6HV43EQ5KpJfizXsABfDyyYmjO/qVIy+5pn1xNgATc0uIVbUpIAD0aDthKX8i8jBUd3oABjjJpmeEwAMydwwAOU/aE2uCUJL/yYr/8AWR8+Td9gAMlOcl/DczwnOTtGAAF49blbtawrOpTpuTnyAA16VOtXlec3lMsqag00ABloxtcyAAUm9SoBy25VAAQAAAAAD//Z" 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>
</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>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</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><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEABALDBoYFhcXGBcdHRgdHR0fHR0dHSUdHR0dLicxMC0nLSs1PVBCNThLOS0tRWFFS1NWW1xbMkFlbWRYbFBZW1cBERISGRYZLRsbLVc2NTZXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1daV1dXV1dXV//AABEIAWgB4AMBIgACEQEDEQH/xAAbAAEAAwEBAQEAAAAAAAAAAAAAAQIDBAUGB//EAEAQAAIBAgQDBgIGCAYCAwAAAAABAgMRBBIhMQVBUQYTImFxgTKRQqGxssHRFCNSU2Jjc/BDcpKi4fEkM1SCk//EABkBAQEBAQEBAAAAAAAAAAAAAAABAgMEBf/EACQRAQEAAgEFAQEBAAMBAAAAAAABAhEDBBIhMTJBURMiQnEU/9oADAMBAAIRAxEAPwD4UAHZgAAAAAAAAAAAAAAAAAAA6cN8L9TmOnDfC/U68X0xn6akkA9TikIgkCwK3JKiQAAABQAAAAEAkE5H0Y3okQRchkA0lsgBkUBAIqQQAInsZmkjNnz+o+3r4fkAIODqrJFbF2VsaRCRIBCJZEEStdC8Y2IqGihrIyW4VeBjUWrN4mVbc6YXyxyTwzAB1cAAAAAFAAAAAAEEgAAAAAAAAAAAOnDfC/U5jpw3wv1OvF9MZ+moAPU4hJBIAAASiblSSokAkogF6cHJpJXZ6WHwWWzkl6vU4582ODphxZZPOpUJz+GL9eR2UeG3Xik79FoddeUVbxK69iaVaDds2vQ8mfU5X14ejHgxntisNCC8PuZVFbZv8TStLfnqzhq1Lepw7rb5dtSTwvdPS2vUxdPy+X5CKul53fmQp3urbczrjnZ6rncZfY6LXmZuL2NXNq2uhFSony1O2PPf1yvFPxiC8oc+RU9Uss3HGzSAAERPYyZpU2MmeDqPt6+H5BcgHB1SQAECCSJhWbep0RehgzWDIq7MlubGPMDVHPUd2bydkc51wn658lQADo4gAAAAKAAAAAAAAAAAAAAAAAAAdOG+F+pzHThvhfqdeL6Yz9NSQD1OKCSCQAAAAACUTcqTG3MxyZ9mO28Me66d+Dkk9WdVe1rqXylY8zDzc5WhFtc2d0MDLe1vc+Rll58vpY47nheCTV2vfMzOtJX0+tX+02yySttYyqU5vqzPfGv865nPW/8A0Y1NV5r7DpeHl/dzOWFe5qZRm4VGGjeDv1YcLJc+ppTi11JclFXk/Rbu5uVi4uHXO49CG2nZ9GzppRzNtv8A66kVqLUl6NP1NbY0yhJZbfIo0S4bW3L5br3SO/Fydt1XLkw2yBLViD2vMrV2MTWrt7mJ4Oo+3r4fkABwdQkgkC0StTcsnYzm7sixKLpGSZvBASzKC1LzZGyAzqy1sZkt3IPRJqPPld0ABWQAAAAFAAAAAAAAAAAAAAAAAAAOnDfC/U5jpw3wv1OvF9MZ+mwAPU4oJAAAACCSCQoWjh3UmoL3ZajG7PWwFBK8ubPB1eevD19Nhvy6sJh4wioxVkjrSIpxOiMD58m30vEZKinug6S6HSolZI12ptyyop8jCphYnbIxkZsV5s8KjlxGFPXaOfEKyuJbGbHl06dm0/7/ALuM7cU38S380jar18vrOWotV6neV5rNJqR+Fr+2XjC/Lf7bmd73XPdExqW05GtsrYqgsudctGcR6MaicZRfNM89nu4Mt46eTlx1WdXb3MTatt7mJ5+o+3bh+QAHB1CSABWbLwh1LxLMiqqKXIlsFkBVRM6suRecrHO3c3hNsZ3UQADs4AAAAAAAAoAAAAAAAAAAAAAAAAAAB04b4X6nMdOG+F+p14vpjP02AIPU4pBACpBAAkEADSm7fM+jwsfCvQ+ew0M04x6v6j6mjTsj5XV+c9PpdJP+O14RN0VRrBHCR6qhso2ayRlNlIxlIykzSaM5HOtKNmGJ1Rq2ctaQSuCo7fWYOV7dS2I1enQ5k9UdsY8mXts58+ZLje2vQxgWdTkuhuMWrydvXcyktWQ53JZ7Onnt5+a+mVbb3MTatt7mJx6j7dOH5AAcHQALRCpiWAIoGyGzGc7mpNpldE5XKAHaTTz27AAVAAAAAAAAUAAAAAAAAAAAAAAAAAAA6cN8L9TmOnDfC/U68X0xn6aggHpckggFEgAASQAO/hWk3J8lZHtPFWWkW/Q83h9PLRc7XbbZWtUrRpupdx1SSik7HyOe93LX0+GdvHHqUsdmdnFr1O2nU0uj5nDYqpUUm3dR5tfge5w+TdN3Rx8yu+N26pVuVzPvY82jhxVfK2cLqOW8rX2sm2Z7trfD28yZnURyUaM4q6lddGrP5Fu+ktxVlRVlY5Ju5vVmmYpCDzqid37mDOzGQtqclR6o7Y+nmzmqi9l/fmUbvv7GmXqYydjpHKrQ1LlKWxc9/DNYvJyXdZ19vcxNq23uYnl6j7d+H5QCSDg6hMZEEPRF0bX7wh1DJA3MGLyLSlcqAdJNOduwABAAAAAAAAAABQAAAAAAAAAAAAAAAAAADpw/wv1OY6MP8L9TrxfTGfpsCCT0uSACQIABRISvpzBtg1erTX8SJbqbWTd0+jw9PLCMeiSLTpppprR7pq6ZpBGiifD827fa7fDgpwy6RjGKveyVjvStG5WRGIlaNiLI8bHNyn5GtDCp/SstL23f5F5002bYei0rf3YzFryuIUKsa0u7g8mjjKKltbbTT5mzqVIWVRX0V+qPWdL+C/o7MydBv6KXlq38zdu3OY6rg5mqR0zw8UYzSRmNuXFQ8LPNnA9eVmmjk7rXyOmLlnjuso0b77czdOjFJdypdWwknaN0m9rm+JpqMEZuVdccZ6efi6MYtSgmoS2T5Poc56WNh+pT5qSt8jzT63T5d3HHyupwmHJZGdbb3MDett7mB5uo+2+H5ACDg6pRSZczN4xnKgAOriAAKAAAAAgAAAAAAAKAAAASBAJIAAAAAAAAAAAAdOH+F+pzHRh/hfqdeL6Yz9NSSCT0uSCSCQAAKBrg3arT/wAyMi9DScH/ABR+0zl6rWPuPrqRedVIxTsjCF5Sb6bep8Ten23ZBZmUxT5GdHGZYttWeu55uL4kr3k7L5kG+fmejhoppHlPExlC6s11R14DEXjG+zQnsei0YVJWRpOehx1ahu0kUqVDiq1DSrM5JsxCrZhG7djIv3mRZrXaNM+6yqU26mmuVnbidaV3vdGFLCzclOTypu7VtTqrWtmekI6q/Nmdb8OnpwcSq/DBfRV36nCWqTcpOT3bKn2uLDsxmL4fLn353JnX29zA3r7e5znj6j7d+H5CSCTi6okULSKnXGajlld0ABpkAAAABAAAAAAAAAHoxw0Vyv6lo0orZIz3NacEaMnsjaGDfNnaQTuXTKOGiuV/UuoJckXIJtVHBPkjKph0zchjZp51Sm4lD0mjKeGT8jXczpxA6JYR8mYSjZ2ZraaQAAAAAHRh/hfqc50Yf4X6nXi+mM/TUkhEnpckEkEgAAAJi7NPo0yAB9U3oiy0RjhJ5qUH/CimIxfdxbyt+iufDs1dPszLcjWpRUk7nm1+Gyve90dOG4tCortNfXY1eIhL4ZIemvbzo4RWsm1110O+msqSXIo7IjMjO2tuyVTQ5asjan4onNXBtlNnPfU1mzI1GLUm2HTzX5HO2SsZ3eltzUxuXiHdMZuvSza3PM4ji87yx2W/mZ1sbKSstF9Zynu4Onsvdk8fUdTMp24AAPa8DOvt7nOdFfb3MD5/Ufb18PyAESOWM3XS+IqQAdnEAAQAAAAAAAAAAAAAetcEEo5OgSRYAAAAIZJAVFiQAgZVaKl6moKPPnQkuRkerYpKknujXcmnmg7pYaJVYWPmXuTTmp0nLY6Y08qsapJaIrI6cN3kznP+KpIXQ7aXCMTNXjQnbz8P2nrtk9uOtuElHRicDVpf+ynKK67r5o5xtNAAAAAo9vg9W9PLzi38jvqU/AzxeD1LTlHqvsPf3R8jqMe3kr6nT5bwjx6PDoKbk1JN/SjfQpW4THVwr230kenVq5dGjGeIi9kc9x6NY15EcNXi7RqJr5nZRo1PpNN+SOimnJ7WR0WtoYuWzUjSyjBI8+tO7OjGVrI4vMiKzZk2WqMzubjIznrO8n5aG8nZNnKe7pcP+zx9Vn4mIAD3PCAADOtt7mBvX29zA+f1H29nD8hSRdmZjBcwAHRzAAAAAQAAAAAAAAAAHqWJzEsycbnJ1bJhoySaLKp1CLAXAUAAEAAAAAiQAFQ0VZZlWBU9/s9wqjXpTnVi5SU3FeJpWsny9TwGj6nss7Yeb5d7K/l4Ymsbq+DW3r4fB0qWlOlGPotX7m8hTnGavGWpHqa3tWFampKzV0909meViOzdGesXKD6R1XyZ7ckVNTKz0lxl9vhMfw2pQk1KLceU0vC1+ByH6RlTVmcWI4ZQbu6ML/5Vc7Tm/rjeL+PjMNgqtW7pwbS56JfNmr4RiP3L+a/M+pbUUlGKSWiSVkkUlGpPRaLqZ/3v8X/KPlu4q0ZKcqckk97XVvU+hw9ROKd73SLVlTw6cpSlOXTk/ZGEnl8VrJu7XJHl6jKZav69PBjcd/xvUp5iscPFcisa5FTEpaHlerbSVkrnLOqZVcSjiq129EyaS5N6k8zKVZJczF1LLzM8zLIm0t3LJCESyRr21IwxD2XuYGld+JmZ9fhx1hHyubLuzoADq4gAAzrbe5ibVtvcxPn9R9vXw/KGZmrRkZwXMABtgAAAAAAAEAAAAAUAAR6rRNiUgcnVDKSVy7KsDNNx9DVS0MZijLWwG1yUUaIcmgLklMz6EZn0AuDNzJUwLgpnHeeTAswkUzjOBZo+q7LQzYaa5d7K/wDpifJuaPreyUrYaf8AVl92JYR6lSglto+q0ZlRxTzOnLWVrp9V+ZpiKjPMjfvIy6NFV6qqrVXt66DvI9V8znrSt7M4MZXeaMI7sba09dVF1K1JJ8zjw+H0vJ3LwoJv4Vb0CJqJJ6LV7F601FXbyx+stkjTV0kn1PkO0XF3OTowen0mKIxeLdfFU6UW8mZOXTTV/Ye7Zapq65nzvZuknUqS5qOnu/8Ag+kXJnn5L5ejhnjby8ZRlT1i/C9jzJ1532+s+mqJWaavFnlV+HxbvCXszG9NXF5blJ7lk7bHS8FNcl9peGBf0htZg4lq9NWdVPDu12dUKMY7IibM7bmOmLiQ0XSuQ1qahWFXDZnpJJ257N+pzVKUofFFr7PmehOlmTWz5PozkwWIm68aU9HfLZ6pnu4ueyarwc3DN7/rnB7XF+FRjBVaStb4o9V1R4p7ccplNx48sbjdUABplStt7mBtV29zE+f1H29nD8pK93fmWIZyl03lNs5Ra3IN1O+5WUFydjpMnLTIF3TZQ0gAAAAAAAIAAAAAPXBAOTqhso2SyrAoyq3RZiwRsyrJ5IhhS5DZCKVJEFXIsrlKaubxQCMSbFirKIJSCRdICEj6nswn+jzs7frHy/hifLn1HZh/+NP+q/uxLCPQq3/a+ozowvLVI2nqXklTg5c7FVwYqpZ3vzZxcPWepKq9tomGPxDbUFu9z0sHRyQjH5+piXddL4d0FdF9EiIKyPB7RcaVJd3B3qP6jbDn7Rcay3pU34nu1yPlorUSbbcpO7e7JhuRm3b2uzbtUqLrFfafQw3sfN9n3+ul/lPpYHnz+ns4vmLTgc86Cb2R1SCiYdHGqFtl9ZM6dkdbOTEVeiF0sclV2MErmypuT1NHRsjI5shOXU3cCMhYikUcGEpqvjoZfhh4pNeX/JnxHiG8Kb0+lL8EfQ9muG9zh1Ukv1lW0vNR+ivx9z0ceN915uXOXxHZjML3lNxTs7Oz5bcz5HE4CrS+ODt+0tY/M+0nGUtEUeFfX58z14Z3F5c8O58KSexxrhXd/rKa8P0oraPmvI8c9WOUym489mvFZ1dvcyNau3uZHh6j7erh+QEixwdWM9H5DMazhdHK1Z2NRizTqpM3dJNba9TnwzuzsRYjgnBxdmVO2vBSXnyOI6S7c6AAoAAIAAKAAD1cwzCyFjk6KtkNktENAVsSokWLRQFpbFJMtMzkQL6GE3c0nKyM6auwremrI0RVEoqLEWJJAJAENgQ2fVdlLfo1R/zZL/bE+Pq1LI+s7ETvhan9aX3YlntXuU4ZVd7nncXxWSFub1/I9GrJat7Lc+T4jinWqu219CZ3U01itw6k51M75fae/Rhd+RxcPw9opLd7luMcTjhaX8T2XNssmoWseO8YVGOSDvUa0XTzPia03KTlJ3bd23zLutKrUlUm7tmdXcMWpC3EQEejwWrlxML7SvH57fYfWWsfCxk001urNep9tgq6q0oTXNK/qceSfr1cGXjTXMWUiuQmxyehWbOaULnXkI7oWbNuaELF1SbNakoU45pyUYrm3Y8PH8fveNBWX7bWvsvzLjhaxlyTH29DF4mnRXjlryitZP2Pn8bxKdW6Xhh0W79WcdSbbcpNuT3bd2yKcJVJRhBNyk7JLmzvjhI8ufLcndwThrxNZL/Dg1Ko+Vr/AA+5+hZdFoefwbhqwtCNPeT8U31l+R6ziuh1jEc7TK91zbOnIv7Y7rXdlHHOm5JpQTT/AGnZM+Y4rwKVNOpTj4Vq4p5rLye59pl8w4G8crjWcsZk/LqmxkfVdreF0qdONeCyylUUWl8Lum7266HyyOXNl3ZbXjx1NABJydA56yOhnLUldiM5NML8fsdyOfBw8N+p1I2yyqnHPdnotHJVw7vdamsWa5wS01uQbZAAAAAAAAesQyWQcnRVkFmQBFi0UTFEsDOb1MpMtJmNSRFVm7mtKJlFXZ0xQgksipZFRJIAEMxq1LFqlSx59ardkEVal2fb9h3bB1Ovfy+5A+FPs+yNdU8FVnLlVl9yJYR38ex2SPdRfie7PL4Zhs0lJr082c85yxFZvq/kj6OjCGGpZ56WXyRJ5u2/SMViI4ak5yetv7R8HxDGSr1HOT9F0R18X4nLE1HL6C+FfieatzTFrakrIyq7mtzOqETAqtyaYe9wLI9zs3jLSdJvR6r8TwmWpVJQkpRdmuaJZuNYZdt2/QbEqJ8hhO0NanpJqpH+Lde6IxPaOtNyyNwi1aytp6O177nPsr0f7YvosTxWhTclKos0ZKLitWmzy8d2l1ccPG/8ctvZfmfO6yd23Jve+rGxqYRyvLlW+IxM6rzVJuT8+XouRi2QDblaM+y7L8H7qH6RUX6ya8Kf0IfmzyuzPB+/n31RfqoPRP6c1+CPtmaiyBtT2OSWIgt5r21IhxKinlc1fpzLtXdYkwhioS2kn5X1Nc4FikpWJzrqQ7X3A+f7ZyvhYf1o/dkfFH23bO36LTt++j92R8Ucs/bUADGrU5IybKtTkjKEczSRB24KjZZnz29DUjFu3RCNkkWBDZRDZW5JGUIh2e6MKmH5x+R0ZRlLKacDRB2VqWZeZxtG5WLAAFAAAeqQy1iJHJ0VJsEi4ApN6EmVWQozlKxg2WnK7IijKtKUTcrBFjSJRZEJFgBnUnYTnY4K1bM/ICK9XM/IyQYRED1eH4hrDuktnUcvXSP5Hlntdn8NmvOXwxl9dkFnt73CcKqUO9nvvqeHxvizxE3CL/VRev8AEy/G+Kuf6qm/D9Jr7Dx1poaWkiLC5FwyuiKoQYFIMtWWifW5RGstY25rX25/YgKJ6E3KRZriasZNZI5Uklbq+bCMpMiLIsXUQDLRldO615Py5hIkAdnC+HyxNZU46Lecv2Y9Tlp03OUYRTcpNJJbtn33C8BHBUEtHUlrN/tS6LyRYsjrjkw9ONOKsoq0YrdnFVrSnu9OnJETlduc36vkvJHI5yqtqCtD7TOVdJGGOxDs4Q95fkeV+htvm2fRU+HreR1UsOuUTMlW6fP0+ETsnY7KMcXTXhnK3RvN9TPcVLkdFPDq2puRnw8vD4zGOUYuEHfdtNe+h3VFW/dU2/8AM4/gdlOFjQ1pHyXaenUWHg504QXer4ZuTvll5HyzPsu21W2Gh/Vj92R8HOo2c8p5Xa9SrfRGIAZtXpQzSS6nqpWVkcuBp6OXXY6yoqyLFwFVyk2FyAgCCbAQ0c2Io81vzOuxDsWUrywdVXD84/I5mrG5WEAAo9dsq1ctYHJ0EiGwyoBuyOWpI2qyOWTuyVVTWnEpFHRBCCyJQLxRUEVnOxMpWOHEVuSAivVvojARJIirCDIQFj0MNjXTw8qcfilNtvorI889rhGEc6Mpxp53nlF/KP8AyFxlvp5NwfX4ThFFxUp0Vm5p3Ol8MotW7mH+lInc6zhv9fDkn0uK7OwlrTk4Po9YnlYjgten9DMusdfq3LuMXjyjhIiJRadmmn0ejKWblFJ2u0vrNMEty6Z00uGSnXq0e8/9dSNPNbR3qKF9/O5SPDa7dlHkmryjHRtqO73dtFuwm45miUdOC4bUrZnmUVGdOElJpSTlK23kRPhdeMmrK1m8/eQULKWXWV7J30s3caTcYqxNyaWDqznOCjaUNJ5pRgou9rNtpb6Fo8PrtqKg7tQa8UdpSyx583oF3FLkM0fD697ZG3lctJRkmlLLunvm0tvc0hwyvm1irLXN3kMm9rZr2vfS17iQ3H0/ZXhPdx/SaqtKS8Cf0YfterPRxOIzNt6RX1L8z5SljcZVvGFacrW07yMW/JJvXZ6IrVWLla05zi4Kd0/5cZvnyU168jVlJnHuOUq81GOkFy/FnrU8OoxSSPj6P6ZG+Wck1Ztd5BSSaTva97WkvS+prGtjnd95USTlFuVSMUpJpNXbXNpEmC3lj7KFG5006SSPk+y+PrVMXGFSrOUck3Zu6uj7Goa0sy2zUbs2SKU0aMKi5SpOxWpWV7czlr1NWNjwu2jvhYP+dH7sj4o+u7XVXLDw/ZVWKv55ZHyFzFSpNMPSzy8luZJXdj1KFPLFL5kRpFW0JCJsFQRYtYiwEWJsNeguELBsXCArZsd0uZcAZuijKrQv+Z0gsHkyVnZkHo1qCl69TiqUXHf5m5WLHpgIhs5uiGJOyCMa9QDGrMyQbLRRlV6cTcpFWNIq5UWihJktnLiK1iimIrcjjbJk7hERMSQgyirIRLIIJR9f2Tf/AI0/6svuxPkEfWdlqiWHnd/4svuxM5enXh+n0GZaLqXMI4tRTe+j0RNGrmS1M7j0+drTiZNm7dzOSXMquathoVPjhGXqjweJcDn3sZYel4Uk/iVs131fofSpoXEumMsJlPL5t0MYpyqRwtKMpSU52l8UlNTvrN81y6nPVxuMpOTqUdZKOeXjjmcb5W5QktUnb03PrSHBNao131y/+fF8Lg8dUpynlgpyk41HmzSacG5ZtH63uaUeNVYLKlHL4rq843vLNvGSe/RnbxNQpYyo7ZU6NSOi+lKlKK+totPGYa97Q3l3T7hLuIuDUVNW8dpNPntfnY6T08uWpdaeXTxtRd7OVNTp1WlNTzuDknmXive69TqocTr5Yunh4vLltJQm/DTmppb2sm438mjpnxDDOnOGmdu8Z93amqndpOpktzd15XvY5uG46lCgoVH4k67Xhbs5dzlf+yQ9fp7/ABzUeIVqUO4VouNVT1XjjJNeHXleKduqO5cXq5+8UU2ltmrNLX/Ps3ZW220O6XEMJKrOoko5lUyuVPM4zdS7m24yvmj5PLt5nFhcfTjPHJONOnWptU13edXVWMlFaXjeKlbazt0TV3pnW3PheI1cO5wUUnnvJSUouM1dWaTXnozbCY6veMIRXjlQjHTRumoxSTvztG/4Hpy4rh6lapVnkUlWxkqUu4ik4ScHTz2g7/4jvZu78ya2Oo1auFp0HFQhjpSjBUsjyTcGmnbRXUlb00slZLVsg8HxCUZwdCLU+8zeOO099M9tOV9jWpg8d3qqQw91GEYrNUjFu2rk1Ga3ldtao+qjA0ia21/nHynZ7hGJo4pVatLLHLNN5oPV+SZ9Q9WJsimncjcmm0I2MMZXUItnRJ2R4HFa+epClF6t626Et006cI/C5vmisKcqsnbSF9ZdfJHXTpRSWbX+Fbe5d1HbRWXLkQfPdtacY4OnGPKtH7kj4Y+17aSvhYf1o/dkfJYWhmd3svrJWa1wVD6T9jtISJICLFSwAAAAAEACSqiwsAELCwACxDinuSAIKslsbIiq1JWRw1JXZrXmc5KqUbU4lIRN4oRFoq5psErGdWpZFFK9WyPPnK7uWqTzMoEQWRBKAsiGSQQVZBLIAlH0vZvB1KlGTjOMYKbTvdu9kfNH0nZ7iMaNCUW96jf+1fkZy9OvD9PdjgYxXim5deSNoKEVpFI8qpxqHqZT4zD9r2Of/kevc/a92M77GdR82eNS4snsbxxifMbpNV3QmS6ljCFZESncmxt35pCrc8+TJpTsO4ddXBUqjzTpQlJ85RTZnLhdC3/op/6EWp1zodVGpkz2x85xLgsdZU4pP9lLT2PP4Zw3v8RCi1ZN3l5RW/8AfmfU4mqmYU8ZTw8pVWlmcWr21t/3Y3jk458f6nimGw6mqdOhTSju1BasvgeD0X4pUoNdMqPOp8QhnhKreKndpy5q+r021PqMLKMoxcGnFrRp3TOkl35cvDGPCcN/8al/+cTelwrDxcZLD0lJNNNQimmtmjqjG3IsjaLBshsznICL3Z0042MKMDok7Ig58XWyxZ5PC6LnKdbnOVk+kVyN+I3qNUo7zerXKK3f4e534ekoRUI8kT3VWsomcnfY2VHqW8KNI+Z7Y4dvC01/Oj92R83CCikkfXdrJp4eCX71fdkfJmKlAARAsipZAASQUACQAAAAgAACAFyblQRUFK07Fm7HJWqX0FGcpXZEVcg2pRIq8InRCNiIRsJzsVEVJ2POrVMz8i2IrX0RiAZAAQLIqiwAAEEMqWZAA6KFRpW8znN6O3uVZdelpTb5lCZSsRnRUt2JtHRQxc4O6Zz6BEs2stnp7FHiSej0Z1xxVz5xsvCtKOzZzvH/AB2nNf19B3reiNo1Elq7JbnhQ4hJbq/1FKmNlJrklyMf510/1x0+jhVXLY0VRs4MHUzxT/teR6UIoxrTrLtlKFzysZSlKvShpq7q/NrW3vt7nuNaHnY7JdZ92mk+cW9pexrDxkxy/LzeI3nh8NU6Z4S8pXv+Z09l+KOjWVKT/VVHbXaM3s/wOXDVUlUw9Z2jJvxb5Z8pHnapuz1WzXXqez28Hp+r3KZjLDV1UhGV9bK/qapkdDMCC9ON3qFbUolMROyNdkeZxSq1BpPxPwx9XoWonhlqjqVeWZwi/Jb/AF3PS2OfBUlTpQhHZKxumBDuV7u+7LspKoB4naqmlh4W/ex+7I+UPqO1E70IL+YvuyPlzNQAKuaMixKM+9Q71AbEGaqolTXUC5JW5NygSRcXCAFwiAQSAFhYXBVclaocrZacrsqlcwLU43OunEzpQNm7GhMpWOHE1+SLYityOVAEgSyCIgEgAAABJBIEMglkADalt7mJrS2sUWkUaRfyZDiUUykaotYiwQzE3KiwFri5W5NwPS4RiLScX6o+iozVrnx9KeV3R0TxU2rZnY55Ybu3bDl7Zp7uN4pGKyw8UuvJHjVKrk25O7MYs6aOGlLk7F1MWbcs6ynFz0tqtn+DGGwUsybTtf5ns4fCKKV9zrjA53l/jtjwz9XwdWdPX6j3aVRSipLZnho9Xh6tSj55n9Z04st+Dlx15dkTeETGDRsmdnAqOyPFqy7zEwprXL4n+B6eMrKMW76W1PI7OT7yVas1vLfouSJVe/CKSRMp2K950RN3+yVGbqPoUc090auT6FHVXOIHh9qUlQg7/wCIvuyPk5VHyPq+1lv0aFv3sfuyPkTGXsADKpO+iMiJ1raIxlJvdlspGUIhTa2ZbvJdSMpaMAJVWS5s0jiZc7Mp3ZGUDpjilzVjWNWL5o4coylHo6DQ89X2u0XhKd92B2teZVpmazhyn5AX1I8Rnnn0QUp9EBw3N6MDKnG51x0RBfY569awrVbI45O7KG5JAIgAAABAEggkASQCiSrJIIBePUobUtvcolSuSVlAJlE2K2LkAUFizICIsGiQBSxrQ1ko9XZMoAPpuHcLhFKVRXn05I7pQXI4+GYhzpwlLmvnZ2PQSuefLf69uGteGcYamuVCxJhsjSu1Fbt2R61kvCtopJexy4SnlXePd6RX2s6Ez0cU1NvPy5bumqkXUtDEtyOzk8rtNVnHDvKm8zUbpXsm9T0uF0FToQgtElr5vmbPdR8lcsnyQ0N0w2cnfzbsoNeb2LucuvyWgG5WSM1Wa3XutSyqJgeD2sjbDw/qx+7I+TbsfV9rp2w8F/NX3ZHx7dznl7CUrlbFrFlAyM8pKgbKBaxdDFUzSMC1iwRXKRlRcWKK5URkRqok2Az7tFoU7F0SAsRlJJKIsSCGyDhpxshUqWIBByTlcgAIAAAAAIABQJAIAAABkAAa0tiAUahogFEZRYAAQAEQCAAIYAH1mGoZaVKHONOP+pnTSloAYzj0cV/G6RvRoXd3pFbvr5AHPGbrrldR1N3/AAXRBAHd5lky1PV67bv0AKIpzzScjRMAqNFLR36hJAFDvobZhJu142fkAB872sd8PD+qtP8A6yPl4wAOd9i6iWIBECUiAUXSJsQAJJQAFgAAJIBUSCAAKtgEH//Z" 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;' src="data:image/jpeg;base64,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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>
</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>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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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;' src="data:image/jpeg;base64,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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>
]]></content:encoded>
			<wfw:commentRss>https://mauverick.com/a16z-generative-ai/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Bästa betalningsmetoder för nya casinon utan licens i Sverige 2026</title>
		<link>https://mauverick.com/basta-betalningsmetoder-for-nya-casinon-utan-licens-i-sverige-2026/</link>
		<comments>https://mauverick.com/basta-betalningsmetoder-for-nya-casinon-utan-licens-i-sverige-2026/#comments</comments>
		<pubDate>Wed, 11 Jun 2025 20:20:20 +0000</pubDate>
		<dc:creator><![CDATA[Mohan Varadarajan]]></dc:creator>
				<category><![CDATA[a16z generative ai]]></category>

		<guid isPermaLink="false">https://mauverick.com/?p=16456</guid>
		<description><![CDATA[Att välja rätt metod för att hantera transaktioner på onlineplattformar är avgörande för spelare som önskar en trygg och smidig upplevelse. Med fokus på internationell tillgänglighet och anonymitet, erbjuder många av dessa tjänster en rad alternativ som kan anpassas efter individuella behov och preferenser. En av de mest eftertraktade fördelarna med moderna lösningar är möjligheten [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Att välja rätt metod för att hantera transaktioner på onlineplattformar är avgörande för spelare som önskar en trygg och smidig upplevelse. Med fokus på <strong>internationell tillgänglighet</strong> och <strong>anonymitet</strong>, erbjuder många av dessa tjänster en rad alternativ som kan anpassas efter individuella behov och preferenser.</p>
<p>En av de mest eftertraktade fördelarna med moderna lösningar är möjligheten att använda <strong>lokal valuta</strong>. Detta underlättar för användare att göra <strong>snabba insättningar</strong> utan att behöva oroa sig för omvandlingskurser och dolda avgifter. Många av de mest populära <strong>betalningsalternativen</strong> garanterar också hög <strong>safety</strong> och <strong>avgiftstransparens</strong>, vilket är avgörande för att bygga förtroende hos användarna.</p>
<p>Utöver de traditionella <strong>val av kreditkort</strong>, finns även alternativa <strong>pistolmetoder</strong> som ger spelare ökad flexibilitet och snabbhet. Dessa strategier gör att spelare kan njuta av en bekväm och användarvänlig plattform för sina transaktioner, vilket skapar en mer tillfredsställande spelupplevelse.</p>
<h2>Snabba insättningar och säkerhet</h2>
<p>Att genomföra snabba insättningar är en central del av den moderna spelupplevelsen. Med en rad pistolmetoder tillgängliga kan spelare enkelt överföra medel till sina konton, vilket möjliggör smidig spelning utan förseningar.</p>
<p>Internationell tillgänglighet är avgörande för att tillfredsställa behov hos spelare från olika delar av världen. Flera metoder erbjuder alternativ i lokal valuta, vilket gör transaktionerna mer bekväma för användarna.</p>
<ul>
<li>Kryptovaluta: Många har börjat använda kryptovaluta för att göra insättningar. Detta alternativ erbjuder anonymitet och snabba transaktioner.</li>
<li>Val av kreditkort: Kreditkort är fortfarande bland de mest populära alternativen, och de flesta erbjuder en hög nivå av säkerhet.</li>
<li>Användarvänlighet: Plattformar har investerat i att optimera sina system för att göra insättningar så smidiga som möjligt.</li>
</ul>
<p>Att prioritera säkerhet är en självklarhet. Åtgärder som kryptering och verifiering av transaktioner är avgörande för att skydda användardata och medel. Genom att välja pålitliga metoder kan spelare känna sig trygga när de gör sina insättningar.</p>
<h2>Populära e-plånböcker bland svenska spelare</h2>
<p><img alt="Populära e-plånböcker bland svenska spelare" src="https://img.freepik.com/premium-photo/hand-holding-card-playing-online-gambling_53876-39244.jpg?semt=ais_hybrid&amp;w=740&amp;q=80"/></p>
<p>En stor del av svenska spelare föredrar att använda e-plånböcker för sina transaktioner, och detta beror på flera faktorer som snabba insättningar och avgiftstransparens. Genom att välja dessa alternativ kan spelare hantera sina pengar mer effektivt, utan att oroa sig för dolda avgifter.</p>
<p>E-plånböcker erbjuder också en hög nivå av säkerhet och anonymitet. Information om spelarnas transaktioner hålls privat, vilket ökar trygghetskänslan när man spelar online. Dessutom har många av dessa tjänster stöd för lokal valuta, vilket gör det ännu enklare för svenska användare att hantera sina insättningar och uttag.</p>
<p>En viktig aspekt är den internationella tillgängligheten av olika e-plånböcker. Detta gör att spelare kan välja bland flera alternativ som passar deras behov och preferenser. Kryptovaluta har också blivit en populär metod för många, med dess fördelar såsom snabbhet och anonymitet.</p>
<p>Användarvänlighet är en annan stark punkt för dessa tjänster. Många e-plånböcker har intuitiva gränssnitt, vilket gör dem lätta att använda för både nybörjare och erfarna spelare. Med alla dessa fördelar är det inte konstigt att e-plånböcker står i fokus bland svenska spelare.</p>
<h2>Kryptovalutor och deras fördelar för spelare</h2>
<p>Kryptovalutor har snabbt blivit populära bland spelentusiaster. Den mest framträdande fördelen är möjligheten till <strong>snabba insättningar</strong>. Med dessa digitala valutor kan spelare göra omedelbara transaktioner, vilket innebär att de kan börja spela direkt utan onödiga dröjsmål.</p>
<p>En annan betydande aspekt är <strong>anonymitet</strong>. Genom att använda kryptovaluta kan spelare skydda sin identitet och säkerställa att deras transaktioner förblir privata. Detta är särskilt viktigt för dem som värdesätter sitt integritet, då traditionella betalningsmetoder ofta kräver att man lämnar personlig information.</p>
<p>Dessutom erbjuder kryptovalutor <strong>internationell tillgänglighet</strong>. Oavsett var du befinner dig i världen kan du enkelt göra insättningar och uttag, vilket gör det möjligt för spelare från olika länder att delta utan begränsningar.</p>
<p>En annan fördel är <strong>avgiftstransparens</strong>. Många plattformar som accepterar kryptovaluta har lägre avgifter jämfört med traditionella <strong>val av kreditkort</strong>. Detta gör att spelare kan njuta av sina vinster mer effektivt, utan att oroa sig för höga transaktionskostnader.</p>
<p>Dessa digitala valutor erbjuder också hög <strong>safety</strong> genom att använda avancerade kryptografiska teknologier. Detta skyddar både spelarens pengar och deras personliga information.</p>
<p>Trots att vissa fortfarande är osäkra på kryptovalutor är deras <strong>användarvänlighet</strong> en lockande faktor. Med allt fler plattformar som anammar denna teknologi blir det tydligt att kryptovalutor utgör en spännande möjlighet för både nya och erfarna spelare.</p>
<h2>Kostnader och avgifter för olika betalningsalternativ</h2>
<p><img alt="Kostnader och avgifter för olika betalningsalternativ" src="https://img.freepik.com/free-vector/users-shopping-making-contactless-payment-with-smartwatch-smartwatch-payment-nfc-technology-nfc-payment-concept-white-background-bright-vibrant-violet-isolated-illustration_335657-280.jpg?semt=ais_hybrid&amp;w=740&amp;q=80"/></p>
<p>Att välja rätt metod för överföringar kan ha en stor påverkan på din spelupplevelse. Det är viktigt att ta hänsyn till olika faktorer som <strong>internationell tillgänglighet</strong>, avgifter och säkerhet. När du överväger alternativ som <strong>kryptovaluta</strong> eller traditionella <strong>kreditkort</strong>, är det nödvändigt att undersöka avgiftstransparens såväl som de potentiella kostnader som kan tillkomma.</p>
<p>Kryptovalutor erbjuder ofta snabba insättningar och anonymitet, vilket kan vara fördelaktigt för många spelare. Dessutom kan användning av <strong>lokal valuta</strong> minska konverteringsavgifter, vilket gör det mer kostnadseffektivt. I kontrast, kan vissa kreditkort ha dolda avgifter eller långsammare behandlingstider. Valet av kreditkort kan därför ha betydelse vid hantering av kostnader.</p>
<p>Det är värt att notera att olika metoder kan innebära olika nivåer av <strong>safety</strong> och trygghet. Se därför till att granska villkoren noggrant för att undvika oväntade kostnader. För spelare som är intresserade av att utforska <a href="https://www.hvst.com/">casino utan svensk licens</a>, är det viktigt att jämföra, inte bara avgifter, utan också hur snabbt insättningar och uttag behandlas.</p>
<p>This section provides a comprehensive overview of payment options, focusing on costs and fees with emphasized keywords as you requested.</p>
<h2>Video:</h2>
<h4>Vilka betalningsmetoder är tillgängliga på nya casinon utan licens?</h4>
<p>Nya casinon utan licens erbjuder ofta ett antal olika betalningsmetoder för att tillgodose spelarnas behov. Vanliga metoder inkluderar banköverföringar, kredit- och betalkort som Visa och Mastercard, samt e-plånböcker som Skrill och Neteller. Kryptovalutor som Bitcoin blir också allt mer populära på dessa plattformar, vilket ger spelare möjlighet till anonymitet och snabba transaktioner.</p>
<h4>Är det säkert att använda betalningsmetoder på nya casinon utan licens?</h4>
<p>Att använda betalningsmetoder på nya casinon utan licens kan medföra risker. Eftersom dessa casinon inte regleras av myndigheter kan spelare utsättas för bedrägerier. Det är viktigt att göra noggranna undersökningar, läsa recensioner och kontrollera att casinot använder säkerhetsåtgärder, som SSL-kryptering, innan du gör en insättning.</p>
<h4>Hur snabbt behandlas insättningar och uttag på casinon utan licens?</h4>
<p>Tiden för insättningar och uttag varierar beroende på vald betalningsmetod. Generellt sett behandlas insättningar omedelbart, vilket gör att spelare kan börja spela direkt. Uttag kan dock ta längre tid; banköverföringar kan ta flera dagar, medan e-plånböcker ofta erbjuder snabba uttag inom 24 timmar. Det är viktigt att läsa casinots policyer för att få en uppfattning om tiden för behandling.</p>
<h4>Finns det några avgifter kopplade till betalningsmetoder på olicensierade casinon?</h4>
<p>Ja, många olicensierade casinon kan ta ut avgifter för insättningar eller uttag, vilket kan vara en nackdel för spelare. Dessa avgifter kan variera beroende på betalningsmetod och casinots egna policys. Innan du gör en transaktion är det bra att kontrollera casinots villkor för att få en klar bild av eventuella omkostnader.</p>
<h4>Kan jag använda svensk valuta på nya casinon utan licens?</h4>
<p>Flertalet nya casinon utan licens tillåter insättningar och uttag i svenska kronor för att göra det enklare för svenska spelare. Detta minskar valutaväxlingsavgifter och förenklar transaktionsprocessen. Det är dock alltid bra att dubbelkolla casinots betalningspolicy för att säkerställa att svenska kronor accepteras.</p>
]]></content:encoded>
			<wfw:commentRss>https://mauverick.com/basta-betalningsmetoder-for-nya-casinon-utan-licens-i-sverige-2026/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
