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	<title>Arxius de News - Thais Vinyes Advocats</title>
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		<title>a16z generative ai 1</title>
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		<pubDate>Fri, 07 Aug 2026 12:10:19 +0000</pubDate>
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					<description><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-1/">a16z generative ai 1</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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										<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments </p>
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
</p>
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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>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p><p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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" width="306px" alt="a16z generative ai"/></p>
<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-1/">a16z generative ai 1</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>a16z generative ai 1</title>
		<link>https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-1-2/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Fri, 07 Aug 2026 12:10:19 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<guid isPermaLink="false">https://www.thaisvinyesadvocats.com/?p=7712</guid>

					<description><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-1-2/">a16z generative ai 1</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments </p>
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
</p>
<p><img decoding="async" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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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>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p><p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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" width="306px" alt="a16z generative ai"/></p>
<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-1-2/">a16z generative ai 1</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://www.thaisvinyesadvocats.com/news/a16z-generative-ai/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 28 Jul 2026 17:09:40 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<guid isPermaLink="false">https://www.thaisvinyesadvocats.com/?p=6260</guid>

					<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai/">a16z generative ai</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents </p>
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
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<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
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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 decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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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>
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<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>
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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>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai/">a16z generative ai</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-2/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 28 Jul 2026 17:09:40 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<guid isPermaLink="false">https://www.thaisvinyesadvocats.com/?p=6262</guid>

					<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-2/">a16z generative ai</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents </p>
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
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<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
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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 decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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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>
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<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>
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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>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/a16z-generative-ai-2/">a16z generative ai</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>Валютный курс Википедия</title>
		<link>https://www.thaisvinyesadvocats.com/news/valjutnyj-kurs-vikipedija-2/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 25 Jul 2026 02:04:29 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<guid isPermaLink="false">https://www.thaisvinyesadvocats.com/?p=4426</guid>

					<description><![CDATA[<p>Прямая и обратная котировка: Прямая котировка количество национальной валюты за одну единицу В операциях на межбанковском валютном рынке котировка обычно происходит по отношению к доллару США,<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/valjutnyj-kurs-vikipedija-2/">Валютный курс Википедия</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>Прямая и обратная котировка: Прямая котировка количество национальной валюты за одну единицу</h1>
<p>В операциях на межбанковском валютном рынке котировка обычно происходит по отношению к доллару США, так как он является международным платежным и резервным средством. Существуют два метода котировки иностранной валюты к национальной — прямая и косвенная. Прямая котировка (от англ. direct quote) – это соглашение о выражении обмена валюты в единицах внутренней валюты на единицу иностранной валюты. Она «прямая» в том смысле, что резидент знает цену иностранной валюты сразу. Забавно, но эта разница родилась из исторических традиций.</p>
<p>Термин косвенная котировка — это котировка валюты на валютном рынке, которая выражает переменную сумму иностранной валюты, необходимую для покупки или продажи одной единицы национальной валюты. Косвенная котировка также известна как «количественная котировка», поскольку она выражает количество иностранной валюты, необходимое для покупки единиц национальной валюты. Другими словами, национальная валюта является базовой валютой в косвенной котировке, а иностранная валюта — встречной валютой. Обратная котировка — это способ представления валютного курса, при котором указывается количество американских долларов (или другой базовой валюты), необходимое для покупки одной единицы иностранной валюты. В отличие от прямой котировки, здесь доллар выступает в роли котируемой валюты, а иностранная валюта — базовой.</p>
<h2>Примеры рассчета обратных котировок из прямых на форексе</h2>
<p>К примеру, очень часто покупки совершаются в долларах или евро, а если они не являются вашими «родными», то их необходимо конвертировать. Для участников валютного рынка валютный курс распадается на курс покупки и курс продажи. Курс покупки – это курс, по которому банк покупаетиностранную валютуза национальную.Курс <a href="https://forexby.com/">https://forexby.com/</a> продажи – это курс, по которому банк продает иностранную валюту за национальную. При прямой котировке курс покупки ниже курса продажи, что соответствует основному правилу осуществления спекулятивных операций «купить дешевле – продать дороже». Большинство инвесторов покупают валюту у маркет-мейкеров или дилеров в этой валюте, которых обычно называют брокерами.Дилер зарабатывает деньги, покупая по одной цене и продавая немного дороже. Когда дилер продает, трейдер покупает, а когда дилер покупает, трейдер продает.</p>
<h3>Прямая и обратная котировка валют</h3>
<p>Так же прямую котировку используют при установке курса национальной валюты к иностранным денежным единицам. Такой курс позволяет Банку России проводить самостоятельную ДКП, направленную на решение внутренних задач, а именно на снижение инфляции. Котировки, выставляемые Форекс-брокерами, обычно имеют один или несколько источников – свой собственный поток, различные информационные системы, внешний контрагент для проведения хэджирования, котировки конкурентов. Во время использования внешнего источника входящий поток фильтруется перед тем, как быть переданным пользователям. В него добавляются собственные брокерские котировки, выставленные по клиентским запросам, а также цены уже проведенных сделок.</p>
<p>Тем не менее, после данной статьи вы не должны оказаться в их числе. Просто конвертируйте валюту с помощью умножения или деления, и у вас получится произвести необходимые расчеты. И подсчитать при этом стоимость одного доллара США в фунтах стерлингов было весьма затруднительно. Многие должны быть знакомы с понятием валютный курс – соотношение в валютной паре, которое показывает, какое количество одной валюты нужно отдать, чтобы получить число денежных знаков другой валюты. Поэтому в паре одна из них выступает деньгами, а другая товаром. На курс оказывают влияние временной интервал, он фиксируется, когда за определенный промежуток времени имеет одинаковое значение или когда происходит резкое изменение.</p>
<ul>
<li>Также средний курс используют дилеры валютных рынков для ориентировки.</li>
<li>Значит можно сделать вывод, что кросс-курс – это непрямое соотношения между валютной парой, а с использованием дополнительного третьего эквивалента.</li>
<li>Обратная котировка представляет собой расчет обратного значения валютного курса на основе базовой и котировочной валют.</li>
<li>Спред, как правило, измеряется в пипсах, пунктах или тиках — четвертый знак после запятой.</li>
</ul>
<p>Регулятор устанавливает обязательные резервные требования — требования поддерживать на счетах в Банке России определенные остатки средств. Калькулятор обратной ипотеки может показать вам, как каждый тип платежа повлияет на остаток по кредиту. Таким образом, если евро будет 1,35886 за доллар, то евро будет считаться на отметке 5. Если евро изменится до 1,33784, то будет считаться, что он находится на отметке 3. Таким образом, котировка для GBP / USD — это количество долларов США (USD), необходимое <a href="https://forexby.com/theory/chto-takoe-kotirovka-na-rynke/">прямая и обратная котировка</a> для покупки 1 фунта Великобритании (GBP), или то, сколько долларов США будет получено за 1 фунт стерлингов. При виде обратной Forex котировки в другой стране, просто умножьте свою сумму на ценнике на котировку.</p>
<p>Трейдер платит цену брокера (также известную как цена предложения ), и трейдер продает брокеру цену спроса брокера, и разница между ценами называется спредом , который в валютах составляет обычно не менее 4 пунктов. Итак, если вы покупаете валюту, а затем немедленно продаете ее тому же дилеру, дилер будет делать деньги, а вы потеряете деньги. Таким образом, спред составляет транзакционной стоимости торговой валюты. С другой стороны, если мы взглянем на курс доллара США относительно японской иены, базовой валютой будет уже американский доллар. Так на спотовом рынке курс будет равен 115, то есть, количеству японских иен, которое будет стоить 1 доллар США.</p>
<p>Такие валютные пары расширяют возможности трейдера на рынке форекс, но важно отметить, что они торгуются не так активно, как пары, в которых есть доллар США (также называемые основными). Если есть такое понятие как прямая котировка, то есть и понятие обратной котировки. Впервые понятие обратной котировки стало применяться при операциях с британским фунтом стерлингов. Кросс-курс (третий вид валютной котировки) – соотношение между двумя валютами, которое следует из их курса по отношению к курсу американского доллара. Основная масса котировок – прямые, за исключением евро (EUR/USD), английского фунта (GBP/USD), австралийского доллара (AUD/USD) и новозеландского доллара (NZD/USD)– это обратные валютные котировки. По котировке Bid банк покупает базовую валюту, в нашем случае доллар США, и продает валюту котировки, т.е.</p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/valjutnyj-kurs-vikipedija-2/">Валютный курс Википедия</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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		<title>Обратная котировка примеры расчетов: как работает и что нужно знать</title>
		<link>https://www.thaisvinyesadvocats.com/news/obratnaja-kotirovka-primery-raschetov-kak-rabotaet-2/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 25 Jul 2026 02:04:29 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<guid isPermaLink="false">https://www.thaisvinyesadvocats.com/?p=4427</guid>

					<description><![CDATA[<p>Прямая котировка: понятие, формула и примеры расчета В обратных котировках базовой валютой является национальный денежный знак, а котируемой – доллар. В таких активах отображается необходимое количество<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/obratnaja-kotirovka-primery-raschetov-kak-rabotaet-2/">Обратная котировка примеры расчетов: как работает и что нужно знать</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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										<content:encoded><![CDATA[<h1>Прямая котировка: понятие, формула и примеры расчета</h1>
<p>В обратных котировках базовой валютой является национальный денежный знак, а котируемой – доллар. В таких активах отображается необходимое количество второстепенной валюты для покупки базовой. Стоимостный параметр на графике обозначает, сколько долларов можно купить за один евро.</p>
<h2>Применение котировок в международной торговле</h2>
<p>Во множестве валютных пар доллар всегда считается базовой валютой, а котировка – <a href="https://forexby.com/theory/chto-takoe-kotirovka-na-rynke/">прямая и обратная котировка</a> обратной. В тех парах, где доллар США является котируемой валютой, котировка будет называться прямой. Котировка – это цена единицы одной валюты (называемой базовой), представленная в единицах другой валюты (котируемой).</p>
<ul>
<li>Процент движения цены показывает, на сколько процентов изменилась цена.</li>
<li>Например, на спотовом рынке британский фунт является базовой валютой относительно доллара США, и котировка выглядит как GBP/USD.</li>
<li>Индикативные котировки и цены реальных сделок крупных банков поступают в глобальные информационные системы — Reuters, Dow Jones, Bloomberg, CQG, Tenfore, откуда транслируются всем пользователям систем.</li>
<li>Далее вам стоит изучить маржинальные требования для разных пар валют.</li>
<li>Это может быть как получение достаточного количества денег для ежемесячной оплаты счетов, так и обеспечение собственного капитала на случай чрезвычайных ситуаций.</li>
<li>При прямой котировке курс (R) валюты А к валюте В определяется как отношение суммы в валюте В (РВ) к сумме в валюте А (РА).</li>
</ul>
<h3>Прямой</h3>
<p>Потому что чем больше дорожает ваш дом, тем больше денег вы можете взять в долг по обратной ипотеке. Процентная ставка по обратной ипотеке будет указана в TALC, но не считается такой же, как годовая процентная ставка или годовая процентная ставка в традиционных формах раскрытия информации об ипотеке. Для обратной ипотеки предоставляется другой тип формы раскрытия информации, и это гораздо более приблизительная оценка, чем GFE или TIL для традиционной ипотеки.</p>
<h3>Режимы валютного курса</h3>
<p>Есть страны, привязывающие при помощи специального режима фиксирования валютного курса свою национальную валюту к другой, например, к американским долларам или евро. Например, в Белизе доллар привязан к американскому доллару и обменивается на американские доллары как два к одному. Страны с менее развитой экономикой чаще используют фиксацию валютного курса, в том числе и в качестве метода борьбы с инфляцией. Однако иногда и страны с более развитой экономикой проводят такую политику. Так, до 2005 года в Китае также был фиксирован курс обмена юаня на американские доллары.</p>
<h2>Виды курсов</h2>
<p>Кросс-курс — это выражение цены одной валюты по отношению к другой через третью валюту. Кросс-курс используют, когда объем прямых обменных операций между двумя валютами невелик, и трудно сформулировать объективные прямые котировки. Фиксирование национальной денежной единицы в иностранной называется валютной котировкой, которая может быть прямой и обратной. Прямой или обратный характер котировки зависит от места нахождения экономического агента и от того, какая валюта для него является «домашней» (национальной). Прямая котировка показывает стоимость иностранной валюты в национальной. Обратная котировка показывает стоимость национальной валюты в иностранной.</p>
<h2>Котировки спроса / предложения</h2>
<p>На это есть простой ответ – положение валют определяется удобством восприятия. В данной ситуации Доллар — это базовая валюта, а Японская Йена — котируемая. Так сказать гораздо удобнее, чем одна йена стоит 0,0097 доллара США.</p>
<p>Для того, чтобы узнать курс требуемой валюты, можно воспользоваться одним из множества сервисов, предоставляющих котировки большинства торгуемых на валютном рынке Форекс пар в режиме онлайн. Ссылки на такие сервисы онлайн котировок вы можете найти в списке выше. Под курсом валют иногда понимают усредненную стоимость одной валюты по отношению к другой, которую устанавливают Центральные банки для торговли с населением. Такие курсы мы видим в обменниках и банках Москвы и других городов РФ и мира. Однако, в биржевых торгах в реальном времени цена всегда меняется. Обычно котировка – это непостоянная, изменяющаяся величина.</p>
<p>И наоборот, если котировка снижается, то <a href="https://forexby.com/">https://forexby.com/</a> это говорит о том, что базисная валюта ослабевает. Существует также понятие среднего курса, который является средней арифметической величиной курсов продажи и покупки. Иначе говоря, котировки валют являются ценами, которые позволяют купить или продать различные валюты.</p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/obratnaja-kotirovka-primery-raschetov-kak-rabotaet-2/">Обратная котировка примеры расчетов: как работает и что нужно знать</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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		<title>Валютный курс Википедия</title>
		<link>https://www.thaisvinyesadvocats.com/news/valjutnyj-kurs-vikipedija/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 25 Jul 2026 02:04:29 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<guid isPermaLink="false">https://www.thaisvinyesadvocats.com/?p=4430</guid>

					<description><![CDATA[<p>Прямая и обратная котировка: Прямая котировка количество национальной валюты за одну единицу В операциях на межбанковском валютном рынке котировка обычно происходит по отношению к доллару США,<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/valjutnyj-kurs-vikipedija/">Валютный курс Википедия</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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										<content:encoded><![CDATA[<h1>Прямая и обратная котировка: Прямая котировка количество национальной валюты за одну единицу</h1>
<p>В операциях на межбанковском валютном рынке котировка обычно происходит по отношению к доллару США, так как он является международным платежным и резервным средством. Существуют два метода котировки иностранной валюты к национальной — прямая и косвенная. Прямая котировка (от англ. direct quote) – это соглашение о выражении обмена валюты в единицах внутренней валюты на единицу иностранной валюты. Она «прямая» в том смысле, что резидент знает цену иностранной валюты сразу. Забавно, но эта разница родилась из исторических традиций.</p>
<p>Термин косвенная котировка — это котировка валюты на валютном рынке, которая выражает переменную сумму иностранной валюты, необходимую для покупки или продажи одной единицы национальной валюты. Косвенная котировка также известна как «количественная котировка», поскольку она выражает количество иностранной валюты, необходимое для покупки единиц национальной валюты. Другими словами, национальная валюта является базовой валютой в косвенной котировке, а иностранная валюта — встречной валютой. Обратная котировка — это способ представления валютного курса, при котором указывается количество американских долларов (или другой базовой валюты), необходимое для покупки одной единицы иностранной валюты. В отличие от прямой котировки, здесь доллар выступает в роли котируемой валюты, а иностранная валюта — базовой.</p>
<h2>Примеры рассчета обратных котировок из прямых на форексе</h2>
<p>К примеру, очень часто покупки совершаются в долларах или евро, а если они не являются вашими «родными», то их необходимо конвертировать. Для участников валютного рынка валютный курс распадается на курс покупки и курс продажи. Курс покупки – это курс, по которому банк покупаетиностранную валютуза национальную.Курс <a href="https://forexby.com/">https://forexby.com/</a> продажи – это курс, по которому банк продает иностранную валюту за национальную. При прямой котировке курс покупки ниже курса продажи, что соответствует основному правилу осуществления спекулятивных операций «купить дешевле – продать дороже». Большинство инвесторов покупают валюту у маркет-мейкеров или дилеров в этой валюте, которых обычно называют брокерами.Дилер зарабатывает деньги, покупая по одной цене и продавая немного дороже. Когда дилер продает, трейдер покупает, а когда дилер покупает, трейдер продает.</p>
<h3>Прямая и обратная котировка валют</h3>
<p>Так же прямую котировку используют при установке курса национальной валюты к иностранным денежным единицам. Такой курс позволяет Банку России проводить самостоятельную ДКП, направленную на решение внутренних задач, а именно на снижение инфляции. Котировки, выставляемые Форекс-брокерами, обычно имеют один или несколько источников – свой собственный поток, различные информационные системы, внешний контрагент для проведения хэджирования, котировки конкурентов. Во время использования внешнего источника входящий поток фильтруется перед тем, как быть переданным пользователям. В него добавляются собственные брокерские котировки, выставленные по клиентским запросам, а также цены уже проведенных сделок.</p>
<p>Тем не менее, после данной статьи вы не должны оказаться в их числе. Просто конвертируйте валюту с помощью умножения или деления, и у вас получится произвести необходимые расчеты. И подсчитать при этом стоимость одного доллара США в фунтах стерлингов было весьма затруднительно. Многие должны быть знакомы с понятием валютный курс – соотношение в валютной паре, которое показывает, какое количество одной валюты нужно отдать, чтобы получить число денежных знаков другой валюты. Поэтому в паре одна из них выступает деньгами, а другая товаром. На курс оказывают влияние временной интервал, он фиксируется, когда за определенный промежуток времени имеет одинаковое значение или когда происходит резкое изменение.</p>
<ul>
<li>Также средний курс используют дилеры валютных рынков для ориентировки.</li>
<li>Значит можно сделать вывод, что кросс-курс – это непрямое соотношения между валютной парой, а с использованием дополнительного третьего эквивалента.</li>
<li>Обратная котировка представляет собой расчет обратного значения валютного курса на основе базовой и котировочной валют.</li>
<li>Спред, как правило, измеряется в пипсах, пунктах или тиках — четвертый знак после запятой.</li>
</ul>
<p>Регулятор устанавливает обязательные резервные требования — требования поддерживать на счетах в Банке России определенные остатки средств. Калькулятор обратной ипотеки может показать вам, как каждый тип платежа повлияет на остаток по кредиту. Таким образом, если евро будет 1,35886 за доллар, то евро будет считаться на отметке 5. Если евро изменится до 1,33784, то будет считаться, что он находится на отметке 3. Таким образом, котировка для GBP / USD — это количество долларов США (USD), необходимое <a href="https://forexby.com/theory/chto-takoe-kotirovka-na-rynke/">прямая и обратная котировка</a> для покупки 1 фунта Великобритании (GBP), или то, сколько долларов США будет получено за 1 фунт стерлингов. При виде обратной Forex котировки в другой стране, просто умножьте свою сумму на ценнике на котировку.</p>
<p>Трейдер платит цену брокера (также известную как цена предложения ), и трейдер продает брокеру цену спроса брокера, и разница между ценами называется спредом , который в валютах составляет обычно не менее 4 пунктов. Итак, если вы покупаете валюту, а затем немедленно продаете ее тому же дилеру, дилер будет делать деньги, а вы потеряете деньги. Таким образом, спред составляет транзакционной стоимости торговой валюты. С другой стороны, если мы взглянем на курс доллара США относительно японской иены, базовой валютой будет уже американский доллар. Так на спотовом рынке курс будет равен 115, то есть, количеству японских иен, которое будет стоить 1 доллар США.</p>
<p>Такие валютные пары расширяют возможности трейдера на рынке форекс, но важно отметить, что они торгуются не так активно, как пары, в которых есть доллар США (также называемые основными). Если есть такое понятие как прямая котировка, то есть и понятие обратной котировки. Впервые понятие обратной котировки стало применяться при операциях с британским фунтом стерлингов. Кросс-курс (третий вид валютной котировки) – соотношение между двумя валютами, которое следует из их курса по отношению к курсу американского доллара. Основная масса котировок – прямые, за исключением евро (EUR/USD), английского фунта (GBP/USD), австралийского доллара (AUD/USD) и новозеландского доллара (NZD/USD)– это обратные валютные котировки. По котировке Bid банк покупает базовую валюту, в нашем случае доллар США, и продает валюту котировки, т.е.</p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/valjutnyj-kurs-vikipedija/">Валютный курс Википедия</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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		<title>best name for dog 99</title>
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		<pubDate>Thu, 25 Jun 2026 23:35:49 +0000</pubDate>
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					<description><![CDATA[<p>Top 1,000 Most Popular Dog and Puppy Names Top 100 Best Names for Your Dog Full Guide Wiggles is the name for dogs who love to<span class="excerpt-hellip"> […]</span></p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/best-name-for-dog-99/">best name for dog 99</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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										<content:encoded><![CDATA[<p>Top 1,000 Most Popular Dog and Puppy Names </p>
<h1>Top 100 Best Names for Your Dog  Full Guide</h1>
<p>Wiggles is the name for dogs who love to wiggle into your arms for a hug. No matter how much you put them down on the floor, they’ll be wiggling for a spot on your bed. It’s simple, direct, and straight to the point, but they do look perfect for cuddles. Meatball dogs are chonky dogs who love to roll around the house. They mostly seek your hands, as belly rubs are the ultimate goal. Bacon is a name suited for dogs who are a bit chubby, but definitely happy.</p>
<h2>Cute Dog Names</h2>
<p>At first, viewers are only introduced to Thing 1 and Thing 3 before an entire room of Things is revealed. This is something that hasn&#8217;t been done before, as Thing 1 and Thing 2 are usually the only Things who appear alongside the Cat. The Things come out of a big red crate, which is featured in the original children&#8217;s story and was also a major plot device in the 2003 film.</p>
<p>Whether you’re choosing a dog name for your boy or girl puppy, the trending names for your dog will change year over year as well. These playful names are great for dogs who don’t take life too seriously and remind you of the fun and joy that a dog brings to your world. Whether they’re chasing a ball, zooming around the yard, or just lounging on the couch, these names capture that lively spirit. Names like Lyra, Juniper, and Clementine have a whimsical, almost bohemian vibe, making them perfect for adventurous or spirited pups. Wren and Penny are short, sweet, and memorable, giving your dog a unique twist on a classic name.</p>
<h3>Most Popular Dog Names in Nebraska</h3>
<p>A live-action “The Cat in the Hat” starring Mike Myers, Dakota Fanning and Spencer Breslin premiered in 2003. Pictures pushed “The Cat in the Hat” release date from Feb. 27, 2026, to Nov. 6, 2026, TheWrap learned Thursday. The film is the first to release under the newlyrelaunched Warner Bros.</p>
<p>Baxter is a name that means “baker.” This makes the name an ideal choice for hardworking dogs who show patience, skill, and dedication in everything they do. Ace is a term that usually describes a top performer or someone who achieves great success. This makes it a great name for a male dog who quickly excels in training sessions, whether it be basic obedience or advanced agility. Ember is a great name for dogs with fiery personalities who are energetic and lively.</p>
<p>{</p>
<h3>Smartest Dog Breeds</h3>
<p>|} </p>
<p>Choosing Molly for your dog acknowledges their unique character and the lively energy they contribute to your life. Popular dog names have stood the test of time for good reasons. Matching names to a breed’s origin, look, or typical personality is a popular approach.</p>
<p>November is home to such iconic family event franchises like Harry Potter, Home Alone, Frozen, Dr. Seuss’ The Grinch, Wreck-It Ralph, and Trolls. In this version, the Cat works for the I.I.I.I. (Institute for the Institution of Imagination and Inspiration, LLC) where he spreads joy to kids. He soon takes on his most challenging assignment yet, as he’s tasked with cheering up Gabby and Sebastian, a pair of siblings struggling with their move to a new town. Known for taking things too far, this could be this agent of chaos’s last chance to prove himself…or lose his magical hat! The Cat in the Hat is written and directed by Alessandro Carloni and Erica Rivinoja. With the teaser trailer dropping tomorrow, fans will finally get their first glimpse of the new Cat—and the universe he now inhabits.</p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/best-name-for-dog-99/">best name for dog 99</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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		<title>best name for dog</title>
		<link>https://www.thaisvinyesadvocats.com/news/best-name-for-dog/</link>
		
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					<description><![CDATA[<p>500 Of The Most Popular Dog Names Most Popular Dog Names of 2024 Most Popular Puppy Names The goal is to find a good dog name<span class="excerpt-hellip"> […]</span></p>
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										<content:encoded><![CDATA[<p>500 Of The Most Popular Dog Names </p>
<h1>Most Popular Dog Names of 2024 Most Popular Puppy Names</h1>
<p>The goal is to find a good dog name that feels right emotionally and functions effectively for communication. The most dominant trend is the widespread use of human names for dogs. Names like Max, Charlie, Cooper, Bella, Lucy, and Luna consistently top the lists. This isn’t accidental; it reflects a profound cultural shift where pets are increasingly viewed as integral family members, akin to children. Consistent favorites Lola, Willow, and Olive also stayed on the list of top 10 girl dog names.</p>
<p>Whether you prefer traditional or creative names, you&#8217;ll find the perfect choice for your furry friend here. For female dogs, names like Pip, Pixie, Honey, and Sunny fit dogs that are sweet and affectionate with a quirky side. Names like Coco, Dottie, and Sugar have that cuddly charm, evoking feelings of warmth and joy. For girl dogs who are the rulers of their households and exhibit a regal aura, Princess would be a fitting name. While it can be given to dogs of all sizes, it’s usually a name given to tiny female dogs. This name has a feminine and playful tone to it, making it fitting for female dogs who are lively, charming, and have a loving nature.</p>
<h2>Sign Up to Breaking News.</h2>
<p>In the studio&#8217;s description, The Cat in the Hat travels around the world spreading joy to unhappy children who need him the most. However, he meets his toughest case yet when he encounters siblings who are distraught after they move to a new town. This is a major departure from the 1957 book, though it does preserve some elements of the story. Based on the story by Dr. Seuss, The Cat in the Hat stars Bill Hader in the title role.</p>
<h3>Warwick Davis Returning As Prof. Flitwick In HBO’s ‘Harry Potter’ Series; More New Cast</h3>
<p>Choosing the perfect dog name is one of the most exciting first steps when welcoming a new furry family member. This name will be used countless times daily – during training, playtime, vet visits, and those special bonding moments. Finding the right name involves more than just personal preference; it reflects your dog’s personality, your interests, and the unique relationship you’re building together. Let’s be real—naming a new dog is one of the best parts of bringing them home (right after puppy kisses and those wiggly tail wags, of course). Whether you’re snuggling up with a sweet little fluffball or chasing a bouncy new best friend around the backyard, finding the perfect name is half the fun. When thinking of names for your new girl puppy or dog, remember that the sky is the limit.</p>
<p>{</p>
<h2>Around the World In VFX: The Real-World Journeys behind Iconic Scenes</h2>
<p>|} </p>
<p>This 2023 sci-fi thriller is a must-watch for fans of shark movies. Batman&#8217;s next movie release is only a few short weeks away, with the 2025 Dark Knight instalment exploring the DC character in a whole new way. However, an eight-month delay, especially for a reportedly completed film, does raise red flags. Delays often signal behind-the-scenes uncertainty, such as marketing issues, narrative problems, or internal shake-ups. Given that The Cat in the Hat is the first title under Warner Bros.</p>
<p>Pax is a beautiful name that comes from the Latin word for “peace.” It’s a suitable name for dogs who are always calm and gentle in any situation. It can also suit dogs that bring a sense of peace to their owners’ lives. Gumdrop is a type of chewy candy that comes in a rainbow of colors. It’s a perfect name for dogs who are lively, joyful, and sweet to their owners. People who grew up watching Sesame Street when they were kids would know who Ernie is. He’s a great friend who’s always optimistic, even when things go wrong.</p>
<p>L'entrada <a href="https://www.thaisvinyesadvocats.com/news/best-name-for-dog/">best name for dog</a> ha aparegut primer a <a href="https://www.thaisvinyesadvocats.com">Thais Vinyes Advocats</a>.</p>
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