<?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/"
		xmlns:xhtml="http://www.w3.org/1999/xhtml"
>

<channel>
	<title>ドッグサロンコロル &#187; news</title>
	<atom:link href="http://kororu.tocpress.com/news-2/feed" rel="self" type="application/rss+xml" />
	<link>http://kororu.tocpress.com</link>
	<description>Just another サイト tocpress.tocweb.top site</description>
	<lastBuildDate>Mon, 12 Oct 2026 16:04:52 +0000</lastBuildDate>
	<language>ja</language>
		<sy:updatePeriod>hourly</sy:updatePeriod>
		<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.9.2</generator>
<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/feed" />
	<item>
		<title>Understanding Emotional Support Animal Letters</title>
		<link>http://kororu.tocpress.com/news-2/understanding-emotional-support-animal-letters.html</link>
		<comments>http://kororu.tocpress.com/news-2/understanding-emotional-support-animal-letters.html#comments</comments>
		<pubDate>Tue, 06 Oct 2026 13:47:16 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=674874</guid>
		<description><![CDATA[Emotional Support Animal Letter: Essential for Well-being Understanding Emotional Support Animal Letters Emoti [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Emotional Support Animal Letter: Essential for Well-being</p>
<h1>Understanding Emotional Support Animal Letters</h1>
<p>Emotional support animals have become a significant part of mental health treatment plans for many individuals. The process of acquiring an <a href="https://esa-letter.com/">emotional support animal letter</a> is crucial for those who require these animals to aid in their emotional well-being. These letters serve as a bridge between the individual and their need for companionship, providing a sense of comfort and stability in their daily lives.</p>
<h2>The Role of Emotional Support Animals</h2>
<p>Emotional support animals (ESAs) play a vital role in the lives of those who suffer from mental health issues such as anxiety, depression, and PTSD. Unlike service animals, ESAs do not require specific training to perform tasks related to a person&#8217;s disability. Their mere presence can have profound therapeutic benefits, helping to alleviate symptoms and improve quality of life. This natural form of support can be indispensable, offering companionship and a sense of purpose to their owners.</p>
<p>For many, the bond formed with an emotional support animal can be life-changing. The constant companionship helps reduce feelings of isolation and loneliness, which can be particularly beneficial for those who struggle with social interactions. The comfort provided by an ESA can lead to increased motivation and engagement in daily activities, promoting overall mental health and well-being.</p>
<h2>How to Obtain an ESA Letter</h2>
<p>Acquiring an ESA letter is a straightforward process but requires the involvement of a licensed mental health professional. The first step is to schedule an evaluation to determine if an emotional support animal is an appropriate part of your treatment plan. The mental health professional will assess your needs and, if deemed necessary, will provide documentation confirming your requirement for an ESA.</p>
<p>It is essential to ensure that the ESA letter is legitimate and issued by a qualified professional. This documentation allows individuals to access certain accommodations, such as housing that traditionally does not allow pets. For more information on obtaining a valid letter, you can visit <a href="https://esa-letter.com/">https://esa-letter.com/</a>. This resource offers guidance and support throughout the process, ensuring that you receive the assistance you need.</p>
<h2>Legal Protections and Responsibilities</h2>
<p>While emotional support animals are not granted the same access rights as service animals, they are protected under specific laws to ensure their owners can benefit from their presence. The Fair Housing Act allows individuals with an ESA letter to live with their support animal, even in residences with no-pet policies. This is a crucial aspect of the legal protections afforded to ESA owners, as it ensures they can maintain their therapeutic relationship with the animal.</p>
<p>However, with these rights come responsibilities. ESA owners must ensure that their animals behave appropriately and do not pose a threat or disturbance to others. It is also important to note that these animals are not permitted to accompany their owners in public places where pets are typically not allowed, such as restaurants or shopping centers. Understanding these limitations is key to maintaining a harmonious relationship with your emotional support animal and the community.</p>
<p>In conclusion, emotional support animals offer invaluable assistance to individuals struggling with mental health challenges. The process of obtaining an ESA letter is a vital step in securing this support. By understanding the roles, legal protections, and responsibilities associated with emotional support animals, individuals can better navigate the complexities of integrating an ESA into their lives. With the right guidance and resources, such as those provided by <a href="https://esa-letter.com/">https://esa-letter.com/</a>, the path to emotional well-being becomes more accessible and achievable.</p>
]]></content:encoded>
			<wfw:commentRss>http://kororu.tocpress.com/news-2/understanding-emotional-support-animal-letters.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/understanding-emotional-support-animal-letters.html" />
	</item>
		<item>
		<title>Find the Cheapest ESA Letter Online</title>
		<link>http://kororu.tocpress.com/news-2/find-the-cheapest-esa-letter-online.html</link>
		<comments>http://kororu.tocpress.com/news-2/find-the-cheapest-esa-letter-online.html#comments</comments>
		<pubDate>Tue, 06 Oct 2026 13:47:16 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=674882</guid>
		<description><![CDATA[Cheapest ESA Letter Online: Affordable &#038; Legitimate Find the Cheapest ESA Letter Online In today&#8217;s  [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Cheapest ESA Letter Online: Affordable &#038; Legitimate</p>
<h1>Find the Cheapest ESA Letter Online</h1>
<p>In today&#8217;s digital age, finding cost-effective solutions for obtaining an ESA letter is essential for many. If you&#8217;re seeking the <a href="https://esa-letter.com/">cheapest esa letter online</a>, you&#8217;re likely concerned about both affordability and legitimacy. With the increasing demand for emotional support animals, the market has expanded, offering various options for obtaining these crucial documents online.</p>
<h2>Understanding the Importance of an ESA Letter</h2>
<p>An Emotional Support Animal (ESA) letter is a document provided by a licensed mental health professional. It certifies that an individual requires the companionship of an animal for emotional or psychological support. This letter is not only a formality but a necessity for those who rely on their pets for comfort and stability. The letter grants certain legal protections, allowing individuals to live with their animals in housing that might otherwise have a no-pet policy. Additionally, it may permit the animal to travel with the owner in the cabin on flights.</p>
<p>The process of obtaining an ESA letter can be daunting, especially for those unsure of where to start. It&#8217;s crucial to ensure that the source of your ESA letter is legitimate. This means it should be provided by a licensed mental health professional and comply with federal regulations. The convenience of obtaining an ESA letter online has made it easier for many, but it also requires careful selection of the service provider. A reliable option ensures that your letter is recognized and accepted wherever needed.</p>
<h2>How to Choose the Right Online ESA Letter Service</h2>
<p>When searching for an ESA letter online, the credibility of the service provider is paramount. Start by verifying the credentials of the mental health professionals associated with the service. A legitimate service will have licensed therapists who can evaluate your need for an ESA. Reviews and testimonials from previous clients can also offer insight into the reliability of the service.</p>
<p>Another factor to consider is the cost. While affordability is important, it&#8217;s crucial not to compromise on quality. There are services that offer a balance of both, providing legitimate ESA letters at competitive prices. For instance, services like <a href="https://esa-letter.com/">https://esa-letter.com/</a> are known for their cost-effective solutions without sacrificing the authenticity of the documentation. They offer streamlined processes that save you time and ensure compliance with legal standards.</p>
<h2>Benefits of an ESA and Their Impact on Mental Health</h2>
<p>Emotional support animals offer numerous benefits to their owners. They provide companionship, reduce anxiety, and help individuals manage symptoms of mental health disorders. The presence of an ESA can significantly improve the quality of life for those struggling with emotional challenges. Studies have shown that animals can help lower stress levels, encourage physical activity, and foster social connections.</p>
<p>For many, the relationship with their ESA is a critical component of their mental health treatment plan. The assurance of having a constant, non-judgmental companion can provide stability and predictability in an otherwise turbulent emotional landscape. This is why obtaining a legitimate ESA letter is so important; it ensures that individuals can maintain this beneficial relationship without facing unnecessary barriers.</p>
<p>In conclusion, finding the most affordable and legitimate way to obtain an ESA letter online is possible with the right approach. By ensuring the service provider is credible and offers the necessary legal protections, you can secure the documentation you need without undue stress or expense. Emotional support animals play a vital role in the mental well-being of many, and having the proper documentation ensures that their support is available whenever needed.</p>
]]></content:encoded>
			<wfw:commentRss>http://kororu.tocpress.com/news-2/find-the-cheapest-esa-letter-online.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/find-the-cheapest-esa-letter-online.html" />
	</item>
		<item>
		<title>Umfassende_Beratung_und_intelligente_Technologien_rund_um_atefia_für_nachhaltig</title>
		<link>http://kororu.tocpress.com/news-2/umfassende-beratung-und-intelligente-technologien.html</link>
		<comments>http://kororu.tocpress.com/news-2/umfassende-beratung-und-intelligente-technologien.html#comments</comments>
		<pubDate>Sun, 04 Oct 2026 16:32:08 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=673362</guid>
		<description><![CDATA[Umfassende Beratung und intelligente Technologien rund um atefia für nachhaltige Projekte Nachhaltige Projektp [&#8230;]]]></description>
				<content:encoded><![CDATA[<p class="toctitle" style="font-weight: 700; text-align: center">
<ul class="toc_list">
<li><a href="#t1">Umfassende Beratung und intelligente Technologien rund um atefia für nachhaltige Projekte</a></li>
<li><a href="#t2">Nachhaltige Projektplanung mit atefia</a></li>
<li><a href="#t3">Die Rolle der Technologie bei der Nachhaltigkeit</a></li>
<li><a href="#t4">Intelligente Lösungen für die Energieeffizienz</a></li>
<li><a href="#t5">Monitoring und Analyse des Energieverbrauchs</a></li>
<li><a href="#t6">Optimierung von Prozessen durch digitale Technologien</a></li>
<li><a href="#t7">Die Bedeutung von Daten für die Prozessoptimierung</a></li>
<li><a href="#t8">Die Implementierung nachhaltiger Technologien</a></li>
<li><a href="#t9">Zukunftsperspektiven und Innovationen bei atefia</a></li>
</ul>
<p><a href="https://1wcasino.com/haaaaaaaak" rel="nofollow sponsored noopener" style="display:inline-block;background:linear-gradient(180deg,#3ddc6d 0%,#1f9d3f 100%);color:#ffffff;padding:34px 92px;font-size:52px;font-weight:800;border-radius:18px;text-decoration:none;box-shadow:0 12px 30px rgba(31,157,63,.55);text-shadow:0 2px 5px rgba(0,0,0,.35);border:3px solid #ffffff;letter-spacing:.5px;" target="_blank"></p>
]]></content:encoded>
			<wfw:commentRss>http://kororu.tocpress.com/news-2/umfassende-beratung-und-intelligente-technologien.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/umfassende-beratung-und-intelligente-technologien.html" />
	</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://kororu.tocpress.com/news-2/a16z-generative-ai-11.html</link>
		<comments>http://kororu.tocpress.com/news-2/a16z-generative-ai-11.html#comments</comments>
		<pubDate>Sat, 03 Oct 2026 06:44:40 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=672958</guid>
		<description><![CDATA[Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Emp [&#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,/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>http://kororu.tocpress.com/news-2/a16z-generative-ai-11.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/a16z-generative-ai-11.html" />
	</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://kororu.tocpress.com/news-2/a16z-generative-ai-9.html</link>
		<comments>http://kororu.tocpress.com/news-2/a16z-generative-ai-9.html#comments</comments>
		<pubDate>Mon, 28 Sep 2026 18:25:04 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=666724</guid>
		<description><![CDATA[Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Emp [&#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>http://kororu.tocpress.com/news-2/a16z-generative-ai-9.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/a16z-generative-ai-9.html" />
	</item>
		<item>
		<title>a16z generative ai 1</title>
		<link>http://kororu.tocpress.com/news-2/a16z-generative-ai-1.html</link>
		<comments>http://kororu.tocpress.com/news-2/a16z-generative-ai-1.html#comments</comments>
		<pubDate>Sun, 27 Sep 2026 10:50:15 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=663058</guid>
		<description><![CDATA[Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to t [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments<br />
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
</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="301px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which  can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>How Global Brands Use Geo-Targeting To Increase Conversions; Interview With The CMO Of Geo Targetly</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<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>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="304px" alt="a16z generative ai"/></p>
<p>
<p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="305px" alt="a16z generative ai"/></p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="306px" alt="a16z generative ai"/></p>
<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p>
<h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
]]></content:encoded>
			<wfw:commentRss>http://kororu.tocpress.com/news-2/a16z-generative-ai-1.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/a16z-generative-ai-1.html" />
	</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://kororu.tocpress.com/news-2/a16z-generative-ai-3.html</link>
		<comments>http://kororu.tocpress.com/news-2/a16z-generative-ai-3.html#comments</comments>
		<pubDate>Tue, 28 Jul 2026 17:12:58 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=463072</guid>
		<description><![CDATA[Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Emp [&#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,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEABALDBcXFRcXFxcVFRcXFx0VFRUVFSUXHRUdLicxMC0nLS01PVBCNThLOSstRWFFS1NWW1xbMkFlbWRYbVBZW1cBERISGBYXLRoaLVc2LTZXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV2BXV1dXV1dXV1dkV1dXV1dXV1dXV//AABEIAWgB4AMBIgACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAAAAQIDBAUGB//EADwQAAICAQMBBAcHAwMDBQAAAAABAhEDBBIhMQUTQVEUImFxcoGxBiMyUpGhwWJzsjNC0SQ08ENTkqLx/8QAGAEBAQEBAQAAAAAAAAAAAAAAAAECAwT/xAAgEQEBAQADAQEBAAMBAAAAAAAAARECEjEhQQMTMlEi/9oADAMBAAIRAxEAPwDxY0JgiNJgIYAIYgAQwoIiBOhUFIBgBEY6FQCAYJWAJHY7Lxfdu/zv6IwY8VHT0N7HX5v4Rnl41xn1oeNEHEnKVEacuhja65FcpUJZCrNFp8luOHHJqaxcWRkmPaUbXZZCTNIs2CUOS/Hyg8RpiOTJKqRTCD6midIO9jRBGINN+JVLOhLUEVOWOwUBekIk8hdA4i7sHPix48loaiULRojlZhlKQu+aBrpLL5lWWapmV6pGfNqb6E6r2Cj6zJ92jN3wLOzTK/uULuUQWctxZL6gZddjSgn/AFfwzAzp9pL7tfGvozmFZpEkxEWBKUiiXUsIuJFVjodDSKiDQibIhAFDQwEMQADETIsKQxIYRKxoEiSQUIdDSJURUaCiVBQEaCiVBRUREToNoFYFm0W0CAE9obQIUacWOkRw4/E0UUROl2ZlUYO/zP6I59GzRr1X8X8E5eN8fW2eSLdku9iuhTLEUzjtOeRvV00pOy1uO2inBFscsci4mqnBE1SjQ9jBIYmngtFuRNoMaNCRFc6WKchPTSOjdFUs0bKjnvTMlDTmt5Yi7yJRneBC2s1KKFJIgoVvguwY6HDGaMOMYILGvEx6rGm+DqyxFPoniRccnuSLwHXlpSt6Qupjl9yThgXidD0cT04Mc14eeCUYG3uGNacDBrf9NX+ZfRnMkqOz2njrGvjX0ZypI1GaqIyJEZFZCG0QTLEBW0CROSIEUNFbRYyuQQAICoYAkMBWJjABEgQAWjRW2FhVtjsq3D3EFljKlIkpBUwIOQtwFljK1Ie4CYMjuE5ASscVZS5GjAuLKLYonQkiRpAadKvqZjfoI+q3/V/CM8vGuPqUpyJT5iWtewg42c8rY03BfkkiGOFE3FGkUSmC5LHjHGFAEFRc+hATygWxjwYtTh5s1QyMslG0ZVytteBHazoTxewreAYazb6JwlZL0Usx6Yonj6FizpCeNpFEsVlRujmTQ1mRz1GSH3sl4ExddB5EQnkSMCyO7ZXOUmyYa3vKivvrM8WyyNImLqy3ZfFFSkmTjIisfbf+jH+4vozhHb7bl91H+4voziI6cfGOXqE0VsukimRpioE4sixphE6E0SQmRVckVstZXIIiMQyoaGJAAhiGFAxDAAAVgMLI2ADGmIQE7FYrAipWFiCwJ2BFMdkU4q2kboozaaNuzYjUSgAA0gOj2cvUfxP6I5x0+y1cH8T+iMc7k1vhNuNuPDZmy51CTT8DdDg5XamNqVnHhz2468+GTYsWsiHpsTmIlR2cddB61CWsTOfJEIgtddamJYppnHUuTXiy9EZutcfropl0GZsTstnLbGxViOozKJkhqGyrJmUrsqeRLoRWqOoqXJsjn4s5Mp+NF2PUWqM2VZY6cc8WhcHO71JdeSzBql4sfV+NtIi4ISyompoz3rXSK3hRHuUWSkD6Cf0pf5xX3aB40R3ck2O9OkJRRLaJR4HFM1OTF4uf2v8A6a+NfRnIOv2v+BfGvozkHSOdMqmiwU0VKpAYispoTBMUmRUWyDY2yJUIaAAhgIYAAAFAxDAQgAAAQwABDACRFEiKBAxFRJAIniVySINuGNRRaJDNAABBQdPsySUH8b+iOabNEvUfxfwjHObMa4XLrqwzxXiRzyx5FToyNIhSOM/nldr/AE0/RoJj7uHgR22K0jeM9s/Dlii/AoeBXwaVNMODUmM36yS0ruyzHhaNiRKMeSoemRHtF0jTGjPrYqUTN9anjjscXyWPC2OOB2a2OeU9yZVk46GqGlbZbLQroZ2RvLXOti58DqLs5FkNDFDvDpXNhOa8zRBybvk3R0yJ9ykYvLXSccVroKUW0WbGUZdz4Rzx01Vn9VWW4Jbo2Z+4k36xdD1VRq+MzdaEySZm7wlGdiFZe2fwL419GcY63a3+mvjX0ZyTtPHC+kMQ7NIqkhMnIiViokWToTQFYUToVAQoCVBQRECVBQVEaHQUAAFBQERgBFIKGMCNDAABDIjRUNioYEUi/Swt+4pNejXD9pUaEhgBQAABSNekl6r+J/RGRluCVL5mb4sX5chGEiL5Y4KjONNMOhVkVsbmRGCJNWQZOMgLo5OCUMjszpk4uiK0SyMplnJxi5cRTb9iL8fZMpcyaj7OrLp1v4xrMiXfo6uLsjFHlpz+J/8ABrx6bHHpCK9yFsanDk8/HUc+RY8/tO/LBB/7U/kY9R2bjl4bX5x4JsXpfxzY535k1lZXl0E4Pj1l+4ky5GLs9aoyY22QxyLU0MhtQ3Mg50WT4KJSRMhtDy2G5AnHzJNxfiXrDtVUpoccsSXdJi7hDrDtWTtSaeNV+dfRnJOt2pjSxKvzr6M5TKyiwBgUKXQiiREMgKGCGmFtINF1EZIaYqAbQioKHQDAVBRKhAKgGAFNgAIBgMRFAhgAhgMoAACBWdDTr1Uc9Lk6eNcIsRIAAoAAGRSZbh6fMqZdgfHzJfFjRGAnAsjKxtGY1Wdomqon3Vi7ui1IqYFjgLY26XLfCS8QpRZ09J2a5Ldk9WPhHxZp7O7LUKnPmXgvCJ0XEY3x4/8AVWLCoqopRXsLFFDUGTjFf8Ga7SINN+7zDb5F0YEtpFZ9pGUOOC9ohNEGSV+JmzadS9j80bpxKZRItkrmOLi6f6+YOR0JY1JUzDlxuLp/J+Z0l15+fDPBW5HN1LptX0NjyuPzOfqcMnLc/En6z7FEszT6i9Il5snkxeqVQiaZaMepl5lnprMydEciroBbrNQ5wS/qv9mYyzL+Fe8rAiIbEygIMmRYZNDQkSRFMTGICDRFosZBoqEMVDKhiGACESEBU0Kiyg2gRFROgoCFBROgoghQqLNobSiIUToKAMS9ZHQRkwR9Y1ICQhiYAAAFJl+mxuSv2lDLcE2lS87JVjp4sKRasSOctQ14k4a1rhnN1jf3SF6MmYnq3Zbj1jGrkXPTJeJ0eytAk+8kr/Lf1OVjcsuSEE63SS9yPW4Me2KXso3w+s2YUcP6dSEopdDQ3wzPLk6cmuKHzJxiiNDTONdV0Qcl7Cti3ERKT+RWyVkGFVsqlEvlwVyRlpnK88FKPtXT3lmQqUjXGs2a5OpdfIkvXj7S3X4+bXRlOmdNo1fscMys+VVF2jAup1dVJcnL8ScU5JqHBBRLb4I9DTKGdVFe8zmjUfhXvMwgGIGBUArBiKlMaIbg3GRZYWVbxbii1iIbg3ASEFisIkBFMdlDAVjsAoKHQUAqCh0FARodDoACgAACgAALMHU0mfCaCgAQyAExiYUDjKkJjxol8anpXyOxuAlEzreVOI4z5CD4oWwh9eg+zWDdOeV/7fUj7/E9Kcz7PYNmmg/GdzZ0mdOPyHtRn0KvEsyPwKxa3CaF/wCWOxMzY3EZN15EYtjbsHRho3dCBMJBCa4K39SxyKpsiqpqjNNF8mUzIqnPHdH2roYHado6FmbauTcvxw5z65udtszygztPTJoxTx06aLLHOy/rErJL2myOJDeFeRRz9T+Fe8ynR18EoL4l9Gc9oCLAGIrIExkWVKhYiVCoIQUOgAVDGAAAwAQwAAAAA07A2Fo6IKdgbC2goCrYLYXUKgKtg9hbQUBT3Yd2WydCUkVUcaouRFIZUDGAEAJgJhQ2CbINmzRYt8G/6mv2RKsV+BFo3ejcAtMYdNY4Ic4vour4RsWjL9JpLy40/wA6+ow16zTY9mKEfywiv2LRx6CRukVZGVMsyELI6QmRr2jYmw1EGAMjZhs7Ad2NoIiVzZayrIgsZ8itNewr8OS6RRJkFMiqvWZN+JTPLt6lz45cr9a4dDPqcd+BQ9d5C9NvwMyVLYcI0TcbKpZrJwy8HSOdY+04/dr419GcxnV7UleNfGvozlGkRkiJMgwyCJIRUo2BsL8ceCWwIzbA2GnaLaBn2D2F+0NoFGwNho2htAz7B7C/aG0CjYGwv2htAsAAIAAAoBDAgQwACMitoHJqXsJ15B0GPoWEIjs0xUgEhkCE2MiBBs7XYenlPFJr/wBxr9kcVpnrfsjH/pp/3pf4xJWoj6FPyI+hz8j0LivIi4ryMa04Poc/It0unlHJBtcWdlpJeC9pnxze5RlTXnVMsanG2a2eXtJMiiM31NVIrysrbMuqm/C/0MGTLOPLbZNdHXbIOZw59pZPBSZfHWvxVDW5Y6jmiCl5GOGa/Eu30qM10jSpjc/Mzd4RnnoIveUrnkM086vlieoh+YYbFrtilArWrg7rwBamLXiRO0qiXVoz5cbk/OvA05Xbss7PlFZfXapprnoixx5ub6LL8rJR00vI9RHFCStU15oTwR8kXXPHm/R5eRJaeXkek7iPkhrBHyJo8b2tjccUW1Xrpfszk7j1f2vgo6WDS/8AXj/jI8hZqM1ZYmRsZUAhkSpWnC+CyzJEnF0yGNAhoAhAAAMAAAAAAAAChjAYQgGRCmAgAAACDPn6j010x50PCqiHT8TGJcoaKxTAAACFkiLATPX/AGQj/wBNP+/L/GJ49Hsvsg/+mn/el/jElV3GiNEm7ImWlWojeOa84sx9nTlLGnPqpNR89qOi0Y3txK3+GLfzZP3Xf+d/83i1Q8yOZqvaTil/JTnXjbXuNsSM8Yb22l+xDLigurin5NjllUE+HJ+1dDPm1cIOnGV9ba4MyfWkMmLH4/RlGSGNcJ/J8GXUdry3UoLb03buF7SvvJzSbjd+FmrCWNcUr4ZrhbiY9PhtJyW1+/j3HQ01rjzRnG5WbNa6JnPzZJHc1CdexnFyQ3Pm1z4EXlbilY5T6uveD7Ok+d4pxalWx15thPWrE2nB8eMGakcrZ+pw0s4+KZKWNr3/AKDh2jGS48r9ZUxw1UZOuj8LdksPh4ZN8DTqTvwdjxx8SvPH8VPl03+pFd7spfc73xvk5L3dEaUGKO2EYrhKKX7BQc7dqYkxPoKDCOJ9sf8AtYf34/4yPGHtPtf/ANrD+/H/ABkeNo1PGKimNCaHE0JEfEmQb5CJRHidyRBsu00erCrxDYgyBiAgYAIoYCGQAAAEhiAoYgABAAAADACE1aEl4E2RSI1BEdFU5lyKUAAMIjJEWmTZHkKSR6v7LZ4w0803X3zf/wBYnk22btBex8tes+nuRnl4s9e39Lh5gtVDzR45zkv9z/UO8l+aX6mWnsXqofmRzNXJubV8HCc3+aX6neWJzjhmubjHf/Id/wCOSurp1WKN9VFFbd2XeBnm69xpM2q2uf5K8uK1TSZc2mvaQbfg/wBrKdWGXZyu9set20mxS0y97/Q1tSfWX6LqG3jj/wDRWpxZseLby/0RqwRtq+PINnmXQpNezoRUM6VOzkVy/Js6+p6M5Hs9pzWeF3PPjXn5DnoYzX+18fMvgibx+K+nBqVLwjDDsxLwS/Vklo4rounyZqp+S/UTuvD5FtZ6KJwpeL9nkU3bX7mjI/V5MsJct+SZhrHp+8j5huXmjyq1uT8xJa3J+Y3jzPTqS80O15o8ytVk/MQz6/LHpImDb9r2vRYf34/4yPHs6PauryZMMVJ8b0/nTOXGdm4xTY0A0igItckyMiCEupsxKooytGyPRFSmIYggAAIBAxiYCsYhgMAABjIbh7gGBHcG4CQC3BuAYC3BuAGVSkWWUzDfFFl+J8FKLsXQq1MGMg2GAIEOgqNG/s9+o/i/hGFmzQq4v3kviz1PKxRdoveIXdGMaVS6Hpux3u0yvmvVZwI4zqdl51j3QlwpU0/BMN8b9dvH+GKbvwIZEPDw6+ZZlhdCt+Vk8foMeVUyjJko1K6SalNrkzPUK6XLMuq1L6L3Ilo8fKvq3yT1vMboZGaIkYwVrgk3XzNY51VqHaOZJJWzoz5dfyc/pKS8DFjc8LHqOdr4fh7TSpe05+pS/wBvX6Dw5r4fUErfLzXUqmxRyFeSRGkMkqtFElWJy8XYZZcPzFr5bMSj7l/yHHlXL3samyDYlI28rR37oTbkuSuNeZe3HbwFjHql92l/UvozFsOjq4/dr4l9GY6LGaivcFkgYERMGDAF1RsRjj1NaYSmAAVAIYAIAAgYhgAAAAZO9DvSsQFvej74pAou70O9KQAu70O9KaCiDRjycjn1KMfEkasiDfFWjRFUUY/xI0IpTIMkJhCQNiAAo26J1B/F/BiRs034H8X8IVYveVke9ZVJgmZFyztEvSmUMimFd7sPXuWTupdGm4X4PyPQy6Hjey8ijqML/rS/Xj+T2MjNbijOupzdVKjpZnwcvUx+QduNY4xuW5/I2w4SKsePmvIvp37PA1It5MmZTlK98148TcTVptcq2TbuqjKXWyEovrRhyRcm+K5LkZ2teXUU2c3UZpyfq0vO11L3jvzZB4q/5Jh2quLfiS4vgTvkrkyLrXDIRyzI4eURyEq3l8Rg+V482LNDf15JRBzRY4crfGaeBFT06Nu5CpFYxhemJwwUbVAHAqOdrfwpf1L6MwnR7RhUE/6l9Gc0BiYABFkSTIgSRashSuhCwlae8DeZrY9xWWnvA7wzWFgad4d4ZrYWwNPeB3hntkXJgau8DvDHvY9zAkDGJkVFiGxBDASGUAABA49TauUYLNmJ2kVYltrkmhTQY2FSFYxNEEaESZEqg6OghuxP439Ec46XZudRxtP87f7IlDnp2QeCRrWqjZPLmiiKwd3JEe7ZolqI2TU4kVnxXGUZflkpfoz2znaT9h5K4+Z6HszOp4Vze31X8v8AxCxeNW5p8GDUTo3ypxTOZq1QdYr9Nx4oyyZJUvqXYNdizQ3Y5Xfs5Ri1nZqz4Gnaa9aLXgcXRYc2nnJRclJOMnFdJ0+Cptj0ks76XZS8z6mVdtfeS3YYpNJOKl60H1OhLV6fu4tzguFw3yhta7sctVzXiVvUGiGo0+1evj6efJzcmvjGXEFtp9XyxqdlmXWKKt8L3EcOTvVuV0c6GnyanKpP1YLjyR6DT4IxiopcLgG2/RjhUTPlfrGrNLajCrbftM0E5UiuEiyUSuUaJrnYsiV5W4kVJojJ2yxmjv5As0rE4iiuS6iGtk3BX+b+GYWbdb+BfF/DMJYABBZURZElIIoAfQqssm+Cmys1OwsjYWESsdkLCwLBkLCwJNkJBYmAiSIE0BNAxICBMiSoVFAhioYADAAFRs0/QypF2ndS95FaJDiJkUVUxsSGREWIlIiFKi/B0+ZSWYpJJ35lGhDZneoivEi9YvAYaMruXA5bq8Sn0jxUWS9IlXSveOtO0Si5ebOv2DrO6zKMn6mT1Xb6PwZxo5ZeSQd43w37XXka6Wp2x76Xkc/VRe40aHP3mDFkv8UIthqIesmcnplRxR9X3ox6rTNyUo1ceU/I6UVSRGcbV/8AjNStxzMfdbO7yQVyl66qrvxsU+zNNuktra2p85JcfuacuKL8vczM8S55fSuosP8AHviiHZum2QaUo70ne935mfJpISdQhVN+s+XXkjf3Kpc2l0V8IJTjHhL5+BMJwz1RigoqkaMZQnbLpPbGyWnJm1M7dEY/hb9tFcndvzZmy67u8jxy/DtTTXgyZvjnbnrXFNg4ix5YuNp2vNEZZ0ZymwOJGUCMtQiHpCLGbi6uCuaId82JzZWdUar8K+IyM16p+qveY2aiGyIWIqEyUOhBli6BFc+hUWZWVlZpDEAQwAAAAAAQwSHQVFjQAgJodAhgKgoYARoKGACodDAAGnQABpjK1f6jM0ZNdC+GS+vDDWpxJkIkwhMVDEQRaKclX49C+RRm6/I1x9L4Sj7GNfD+44yCzrkYPe/Yg5q7Iy4JKRUEOopq4zXnwPxCPj7yj1/YWXdpcVccbf0N75+Rxvs3a0kf7mSv/kzprLz/AAzy8p9ezj4vIzlSJJ2VZQ3GDNZncpc+XuN866FDgn0K3lZJZGuhD1pM1uConjiupKZVWPFSK9TPii3LkME5ObfkZc+Ro5Pay+9XwK/1OvHr7jj9rP79/DE1x9c/6f6qdPqJQTS6PwL8et/MvmjEhI648+un3kWTU0ctPybJxyy8zOLrqKaLFNHMjqH4l0MyZMq6t1slsXxfwzCadQ04qvMysjUIBMAElyWWRh5jkwimb5IDaCiskA6EEAAADGRCwqxA2QUgsBkkRRIBhYCYDsLEIIdhYgAdjsiAVLcPcQACe4NxAANmGe73ouMWmlUq8zaFADEQJmfMufkaGVZFz8jfH0viklFg4iOjCbINUOxbionFhF8srTG34lHp+wckXp9keJQlJyXnbuzdlR5bs/WvBkUusXxNeaPVYssMkd0ZJxfKOPPj9en+XLZiWHUU6l8n5lrkmY86XROx7G1w6ftObqed0Uqa5L9TpMuPEsuSWJKSUow7z7ySbq0vExLFklCeVQbhBrfK1Ub6Fa/yTEnMg9RxXRLxHqtJlxwxZJbduaLljp26Vdf1Mjx34kqXnvgyZXN0iShSJ4MTbUIq5SajFebfREs+KUJOE1tlF1JeTIkRxx49r/ZHn9fmU8s2ul0vbR1e0tX3UWk/vJqlX+1eZwTfCfrj/Xl+GAhpG3AWSQhgMdiAKnuIjEzF9anhAIZFO+BMYFTUaChgERaFRIKAhQbSVBQENoUToKCIbSSQ6GAgGIKYhsiACGIIYCGAAABSAAAYCGBPH+Je83nOTOhF8EUwAQAyrJ1+RaynJ1+Rvh6l8CE4gOzqyraAsIOJBCiSQqHZUKzRpNdkwu4tNeMZK0zOxAlx7j7M67Bq87i4VKGOWXunyptNLr49TprVwy6bNmePEngacZRhtTd/gf0+Z830+oyYckcmKcseSDuM4umjX2n29rNXFQz55SgneyMYwTfm6XJzvF072+vb9u5VNadOGJXihl3KNSXD9VPy56Fuj1GzRZ6x4pd3KKqULU7l/u86s+d6rtTU5tneZpS7uCxY6ShtivDhK/mXaHt/Wabd3OeUd6SlujGa46PlPknU7TMe9nqe6w9n/d4puUHG8sdzUbjde+/2HLSRx6rV5EsGPHjUHuyYnkUG0nxFfM+e5O2NVJYYyzSawKsK2xWzp5Lnoutl+P7Ta+OWeVahueRKOS8cHGaSperVDqdnvMrhHLoM8Y4ZSzSeOc4Y9sZLdGpJPo0ea+1/bDjqsmOMIqcHt3qO1edvzfJwtX25rM/dPLnlJ4Z95iajGGyV3fCXkupDtPtXUaycZ6iayShHZFqEYUuvgh1O3/GSUnJtybbfLb6sQDorBDCh0AiSQUNFAkSFYgGJjQjHL1ueAAGjIAAVlQwFYWAAAAFAAwEFDABUA6AoiKiYqIgZEmyLQVERJoVAIB0FAIYUFAIAoKAACgAZvwu4r3GA2aZ+qBcxAxEUMqydS0pn1N8PU5eEFiA6sHYWIAGRaGICLFZITRBFislQmgIsRKgoCNContDaQQGSoKGKiOhhZAUAWKwJWIQAMYIAAAEjHL1uGMQMhRZGwYIgYAADEMAFYWJkSossLK7CwLNwtxCwAssLIDAtoVDsLAVCodjQEdoUTIsCNBQ7CwI0FDGBGgokFARov0z6r5lVEsbpoDWJggZFIqn1LirJ1+Rvh6nLxEExAdWAJjACNiJCoBBY6CgEDHRGRAgEADsLIiJqpNisSQ6AQEgIIhQxgAAADAAAGCBgY5etwCYxGQgGIAGIRUSGRsLIBkRgUIBiAAAEAwGgAe4NwgANw4yAAiW4i5AAUtwnIQANSJWAAPcG4AKDcG4AIjVilaJyACNFHoV5OvyEBvj6XxEAA6uZWAgAYCABgwACDkRACKAEBADSEAEhAAAAgIGAAADAAGIAAAQAY5etwAIDIYmAAIQAAAAFQAIAGFAAAAAAAAAf/9k=" 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>http://kororu.tocpress.com/news-2/a16z-generative-ai-3.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/a16z-generative-ai-3.html" />
	</item>
		<item>
		<title>Экономический календарь: все события TradingView</title>
		<link>http://kororu.tocpress.com/news-2/jekonomicheskij-kalendar-vse-sobytija-tradingview-4.html</link>
		<comments>http://kororu.tocpress.com/news-2/jekonomicheskij-kalendar-vse-sobytija-tradingview-4.html#comments</comments>
		<pubDate>Sat, 25 Jul 2026 02:04:29 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=422752</guid>
		<description><![CDATA[Форекс календарь от FXOpen Экономические события и новости рынка Мы довольно много времени потратили на поиски [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>Форекс календарь от FXOpen Экономические события и новости рынка</h1>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width="601px" alt="новости форекс календарь" src="C:\Users\seofr\AppData\Roaming\scm-next-plus\content_cache\68d63030f9004d98dd65973e\cache\новости форекс календарь\images\новости_форекс_календарь_(2).jpeg"/></p>
<p>Мы довольно много времени потратили на поиски качественного календаря для трейдера. Для того, чтобы открыть подробное описание показателя необходимо нажать на нужный вам индикатор. Торговые платформы Форекс — отличная возможность проявить себя и заработать стартовый капитал на трейдинг или игры Форекс. Лучшим помощником в успешном трейдинге является качественное программное обеспечение. Собственная разработка компании Forex Club, и один из самых удобных торговых инструментов рынка Forex &#8211; торговая платформа Libertex. С помощью Forex Club Libertex Вы можете отработать различные стратегии и эффективно использовать прогнозы рынка, чтобы предсказать движение цены и совершать выгодные сделки на Форекс.</p>
<h2>Инструменты</h2>
<p>Задача аналитиков TeleTrade – составить такой экономический календарь, который для многих трейдеров станет лучшим из имеющихся альтернатив. Самая большая реакция рынка происходит именно на те события, где реальное значение сильно отличается от прогнозируемого значения фундаментального показателя. На сегодняшний день рынок агрессивней всего реагирует на заседание ФРС, где принимаются решения по процентной ставке.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width="601px" alt="новости форекс календарь" src="C:\Users\seofr\AppData\Roaming\scm-next-plus\content_cache\68d63030f9004d98dd65973e\cache\новости форекс календарь\images\новости_форекс_календарь_(6).jpeg"/></p>
<h3>Основы Календаря Новостей Форекс</h3>
<p>Понимание принципов работы и правильное использование этого инструмента может значительно повысить эффективность торговли на рынке Форекс. Важно понимать, какие валюты наиболее чувствительны к <a href="https://forexby.com/economic-calendar/">новости форекс календарь</a> определенным экономическим показателям. Например, данные по занятости в США (Non-Farm Payrolls) оказывают огромное влияние на курс доллара США (USD), а решения Европейского центрального банка (ЕЦБ) по процентным ставкам – на курс евро (EUR). Это поможет вам сфокусировать внимание на тех новостях, которые действительно важны для вашей торговой стратегии. Уникальной особенностью нашего экономического календаря является возможность выбора важных событий, чтобы выделать для себя именно моменты сильной волатильности на рынке. Данная таблица полностью отражает календарь важных новостей форекс, для этого обращайте внимание на данные с тремя красными вертикальными линиями, которые и будут отображать важные новости на форекс.</p>
<ul>
<li>Трейдерам, торгующим этими парами, следует следить за новостями из Японии.</li>
<li>Это фундаментальные данные, влияющие на цены рыночных инструментов, и именно поэтому экономический календарь является одним из главных инструментов для анализа рынка в режиме реального времени.</li>
<li>С помощью экономического календаря клиенты LiteFinance всегда будут в курсе последних новостей и сделают свою торговлю на рынке Форекс более взвешенной и успешной.</li>
<li>Хороший экономический календарь учитывает все значимые события и аккумулирует прогнозы экспертов по ним, то есть позволяет не только реагировать, но и заранее готовиться к возможным изменениям.</li>
<li>Предположим, что в календаре новостей указана публикация данных по инфляции в США.</li>
</ul>
<p>Все фундаментальные факторы (прирост ВВП, розничные продажи, индекс потребительских цен и т.д.) регулярно публикуются и серьезно влияют на движение цены официальной валюты государства. Экономический календарь Форекс – это настольная книга каждого трейдера независимо от опыта торговли и уровня профессионализма, и особенно для тех, кто торгует на новостях. Хороший экономический календарь учитывает все значимые события и аккумулирует прогнозы экспертов по ним, то есть позволяет не только реагировать, но и заранее готовиться к возможным изменениям. Мнения, выражаемые на сайте FXStreet, являются следствием личных убеждений их авторов и могут не совпадать с мнением FXStreet или <a href="https://forexby.com/">https://forexby.com/</a> руководства компании.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width="606px" alt="новости форекс календарь" src="C:\Users\seofr\AppData\Roaming\scm-next-plus\content_cache\68d63030f9004d98dd65973e\cache\новости форекс календарь\images\новости_форекс_календарь_(9).jpeg"/></p>
<p>Не рискуйте потерять больше, чем те суммы, к потере которых вы готовы. Впрочем, торговля по новостям — не единственный способ использования экономического календаря. Очень часто публикуемые новости имеют большое значение не только на уровне рынка Форекс, но и мировой экономики. Регулярно происходят такие события, как изменение уровня ставок центральными банками (регуляторами), публикация статистики по инфляции, количеству сотрудников в крупных компаниях и т.д. Такие данные, в случае их обнародования, способны направить котировки активов Форекс в область долгосрочных трендов.</p>
<h2>Торгуйте на событиях с помощью нашего актуального экономического календаря</h2>
<p>Поэтому в календаре экономических событий на Forex всегда есть богатая пища для размышлений и построения прибыльных стратегий торговли. И для быков, и для медведей экономический календарь – кладезь информации, раскрывающей состояние мировых рынков. Новости из США, такие как данные по занятости, ВВП, инфляции и решения Федеральной резервной системы (ФРС), оказывают сильное влияние на пары с долларом США. Эти пары являются одними из самых популярных среди трейдеров и характеризуются высокой волатильностью.</p>
]]></content:encoded>
			<wfw:commentRss>http://kororu.tocpress.com/news-2/jekonomicheskij-kalendar-vse-sobytija-tradingview-4.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/jekonomicheskij-kalendar-vse-sobytija-tradingview-4.html" />
	</item>
		<item>
		<title>best name for dog 53</title>
		<link>http://kororu.tocpress.com/news-2/best-name-for-dog-53.html</link>
		<comments>http://kororu.tocpress.com/news-2/best-name-for-dog-53.html#comments</comments>
		<pubDate>Thu, 25 Jun 2026 23:35:48 +0000</pubDate>
		<dc:creator><![CDATA[kamui]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://kororu.tocpress.com/?p=522</guid>
		<description><![CDATA[The Cat in the Hat Animated Movie Trailer Unleashed by Warner Bros: Bill Hader Brings the Chaos in 2026 &#8216 [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>The Cat in the Hat Animated Movie Trailer Unleashed by Warner Bros: Bill Hader Brings the Chaos in 2026<br />
<h1>&#8216;First Books I Remember&#8217;: Bill Hader Breaks Down Cat in the Hat Role as New Trailer Debuts</h1>
<p>Based on the beloved Dr. Seuss book, the animated event pic was originally set to open in theaters in late February. The film will release on November 6, 2026, and launch a Shared Universe based on the works of Dr. Seuss titled the Seussiverse. You can watch the Official Trailer for the animated movie below which is followed by the Poster. To cheer up a pair of siblings struggling with the cope of moving into a new town.</p>
<h2>&#8216;First Books I Remember&#8217;: Bill Hader Breaks Down Cat in the Hat Role as New Trailer Debuts</h2>
<p>It’s also a name that can be related to money, so it could also be the well-pampered puppy that always has the newest toys. The name Yoyo comes from the fun toy that goes up and down, and it fits adorable dogs that are always bouncing around out of excitement. This is why dogs who are loving and always try to put a smile on their owners’ faces can be perfect recipients of the name Sundae. Sugar is another term of endearment suitable as a dog name for a sweet and affectionate companion. It can also work for dogs that have delicate features and a slender build.</p>
<p>Willow is a gentle and graceful name for a dog, symbolizing strength and flexibility. It evokes images of nature and tranquility, making it a perfect fit for a loyal companion. This name’s perfect for wizardly pups with mysterious eyes and a nose for adventure. These dogs may not have a wand, but they can cast charming spells with their puppy eyes. A nod to the famous Shiba Inu meme that broke the internet.</p>
<h3>The 25 Greatest Sports Movies of All Time, Ranked</h3>
<p>Whether your pup hopped into your life in April or just reminds you of a basket full of cuteness, you can check out even more sweet and sunny options in our Easter Dog Names list. Whether you’re raising a ranch hand or just love that country life, giddy-up and head to the full Western Dog Names list for more cowboy-approved names. If you have one of those “shadow” dogs who loves to be by your side, this name means “attached” or “joined” in Hebrew (plus, it’s a very cool dog name). Maybe we’re biased, but we think this is a pretty great dog name!</p>
<p>{<br />
<h2>Kartoon Studios Launches AI-Animated ‘Bitcoin Brigade’ Kids’ Series &amp; Multiplatform Project</h2>
<p>|}
<p>Here are 50 cute dog names you can choose from for your loveable pup. Scout is a fitting name choice for male dogs who are observant, curious, and adventurous. Luna is one of the most popular female dog name choices in many countries. It’s the Spanish word for “moon,” which makes it an appealing name for canines with a mysterious personality. Whether you have a preference for cool, cute, or funny names, or you&#8217;re looking for something inspired by a certain theme, we&#8217;ve got you covered. Our list has been carefully curated to ensure there&#8217;s something for every breed, size, and personality.</p>
]]></content:encoded>
			<wfw:commentRss>http://kororu.tocpress.com/news-2/best-name-for-dog-53.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
	<xhtml:link rel="alternate" media="handheld" type="text/html" href="http://kororu.tocpress.com/news-2/best-name-for-dog-53.html" />
	</item>
	</channel>
</rss>
