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Wow! We may be entering an era where AI doesn’t just change how we work. It changes what medicine can do. An experimental “exercise pill” has just cleared its first human test. Enveda’s ENV 308 is designed to mimic a molecule naturally produced by the body during exercise. In...

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Tansu Yegen

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31,623 Aufrufe • vor 1 Monat •via X (Twitter)

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The future of drug discovery is here. Formation Bio is joining our Billion Cell Atlas program to help redefine what’s possible in AI-driven drug development, advancing the next generation of therapeutics. By addressing key bottlenecks across the drug discovery continuum, the Atlas can help accelerate the journey from biological insights to approved drugs — bringing greater precision to how we understand what works, why it works, and which patient populations are most likely to benefit. Together, we’re helping bring more precision medicines to life and reimagine what’s possible in biology. Discover the next era:

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Massive news from AI and biotech: Google DeepMind co-founder Demis Hassabis has just raised $2.1 billion for Isomorphic Labs. For years, Hassabis and his team have been building powerful AI that can predict protein structures, design brand new molecules, and dramatically speed up drug discovery. Now Isomorphic Labs is turning that technology into a full scale effort to tackle what traditional medicine has struggled with for decades. $2.1 billion. One clear mission: use AI to transform how we fight disease and ultimately cure what was once thought incurable. This is one of the biggest bets yet that the future of medicine will be powered by code. Clinical trials, expanded pipelines, and real world impact are coming. Extremely exciting times ahead for humanity.
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Massive news from AI and biotech: Google DeepMind co-founder Demis Hassabis has just raised $2.1 billion for Isomorphic Labs. For years, Hassabis and his team have been building powerful AI that can predict protein structures, design brand new molecules, and dramatically speed up drug discovery. Now Isomorphic Labs is turning that technology into a full scale effort to tackle what traditional medicine has struggled with for decades. $2.1 billion. One clear mission: use AI to transform how we fight disease and ultimately cure what was once thought incurable. This is one of the biggest bets yet that the future of medicine will be powered by code. Clinical trials, expanded pipelines, and real world impact are coming. Extremely exciting times ahead for humanity.

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We're delighted to announce that in collaboration with BNB Chain, $ACT is coming to BNB! As a leader in the crypto space, BNB chain is delving head first into the realm of AI, memes and AI agents; we couldn't be more excited to be a part of it. Stay tuned for updates, big things are coming. The future is bright. 👁️💎
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We're delighted to announce that in collaboration with BNB Chain, $ACT is coming to BNB! As a leader in the crypto space, BNB chain is delving head first into the realm of AI, memes and AI agents; we couldn't be more excited to be a part of it. Stay tuned for updates, big things are coming. The future is bright. 👁️💎

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AI IS NO LONGER JUST WRITING CODE IT iS STARTING TO MOVE THINGS IN THE REAL WORLD. Someone just built a pizza delivery system where the drone does the driving No delivery car No traffic No driver sitting behind the wheel Just: -> Order comes in -> Drone picks up the pizza -> Flies directly to the destination -> Delivers it -> Returns And this is where the AI story gets interesting For years, the AI boom was mostly digital: > Chatbots > Coding agents > Image generation > AI music > AI video But the next phase is different AI is getting a body The same technology stack that started with models and GPUs is now moving into the physical world NVIDIA built the compute layer Researchers built the models Companies like Zoox are building autonomous vehicles And now we're seeing AI powered machines actually move through the real world The crazy part? We designed entire cities around the assumption that humans have to physically drive everything AI doesn't have that limitation Why send a pizza through 5 km of traffic when a machine can simply fly over it? The AI boom isn't just about replacing human work It's about removing constraints humans had to design around The next big AI companies might not live inside your browser They might be flying above your house Bookmark this so you wont miss the next delivery
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AI IS NO LONGER JUST WRITING CODE IT iS STARTING TO MOVE THINGS IN THE REAL WORLD. Someone just built a pizza delivery system where the drone does the driving No delivery car No traffic No driver sitting behind the wheel Just: -> Order comes in -> Drone picks up the pizza -> Flies directly to the destination -> Delivers it -> Returns And this is where the AI story gets interesting For years, the AI boom was mostly digital: > Chatbots > Coding agents > Image generation > AI music > AI video But the next phase is different AI is getting a body The same technology stack that started with models and GPUs is now moving into the physical world NVIDIA built the compute layer Researchers built the models Companies like Zoox are building autonomous vehicles And now we're seeing AI powered machines actually move through the real world The crazy part? We designed entire cities around the assumption that humans have to physically drive everything AI doesn't have that limitation Why send a pizza through 5 km of traffic when a machine can simply fly over it? The AI boom isn't just about replacing human work It's about removing constraints humans had to design around The next big AI companies might not live inside your browser They might be flying above your house Bookmark this so you wont miss the next delivery

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Yeah. The artist shared this video with me, and accusing someone of using AI without any proof is not cool. We are all against generative AI, but it becomes a serious issue when people can’t tell the difference between human mistakes and AI, because that only fuels the narrative that AI can replace artists. If you’re wondering about the extra hand: James’s dad wasn’t included in the first version by mistake, and when we asked the artist to add him, they had to reposition some hands and forgot to remove the extra one. As for the line thickness, for greetings we don’t work with vectors, and as for the background it includes textured pixel images adapted in perspective to the space.
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Yeah. The artist shared this video with me, and accusing someone of using AI without any proof is not cool. We are all against generative AI, but it becomes a serious issue when people can’t tell the difference between human mistakes and AI, because that only fuels the narrative that AI can replace artists. If you’re wondering about the extra hand: James’s dad wasn’t included in the first version by mistake, and when we asked the artist to add him, they had to reposition some hands and forgot to remove the extra one. As for the line thickness, for greetings we don’t work with vectors, and as for the background it includes textured pixel images adapted in perspective to the space.

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I'm seeing a lot of people saying it is just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new AD
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I'm seeing a lot of people saying it is just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new AD

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Generative 3d environments just became a thing with the announcement of OpenAI's new video model, Sora. Michael Rublof from took one of those videos, and turned it into a NeRF using Colmap and Nerfstudio. While people are laughing at the topology of generated models, the world is changing around us, and that's exciting and a little scary, but we'll find a way to turn Gen Ai into creative superpowers. I believe in human creativity, in our ability to surprise, to move, to change and to challenge. Here's to the future! #ai #art

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Most AI Projects In Crypto Are Liars. Sentient is different. It is the only project in Web3 pursuing true Artificial General Intelligence. A few facts that set it apart: 1. First-of-its-kind: Sentient is not just building AI tools, but an open, crypto-native path to AGI. 2. Community-owned intelligence: Instead of Big Tech locking up breakthroughs, progress is built openly and shared on-chain. 3. Value capture: Every step forward in intelligence accrues to the ecosystem itself, not to a closed corporation. 4. Product before hype: While dozens of AI projects launch at $300M–$2B FDV with little to show, Sentient is shipping real technology first. 5. Designed to evolve: Its architecture is built to learn, adapt, and scale like a human mind. 6. The singularity play in crypto: Many see Sentient as the Tesla-equivalent for AGI—but crypto-native. In time, people will understand that this isn’t just another AI project. It’s the beginning of decentralized intelligence.

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World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.

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The life that Ironmouse has... I wouldn't wish it on the worst of my enemies. CVID, combined variable immunodeficiency... basically means the common cold or less can kill you. Going outside, interacting with normal people, can be a death sentence. She needs constant and expensive treatments, plasma infusions, and drugs that cost a fortune... a prisoner in your own body in your own home requiring constant outside care. Costs easily reaching in the 6 figures or more. In addition, her body is already damaged, leading to her voice being quite "strange". Her lungs and body don't function like a normal person's, and even with the best available medical care, one bad turn could be the end of it. For a while, she was bedridden, unable to have any level of real mobility. That comes with real psychological costs as well. So, in many ways, I don't blame her for compromising principles in order to get the bag. She has also worked to donate large sums of money to the CVID foundation for research, and currently AI is making a lot of headway towards better detection and hints at better personalized care. AI acceptance rates in 2026 are already rising, especially when people are seeing a range of benefits for medicine, cancer vaccines, and new drugs for rare diseases never thought possible before. Especially because the underlying core technology, machine learning, drives these innovations. Now LLM-based AI agents are parsing through genetic variants at speeds that no human can match. AI is designing custom sequences with accuracy never seen before. And it's all the same core tech: machine learning and neural networks drive AI art and AI medicine. The main differences are the training data, the loss functions, failure-mode criteria, validation pipelines, and various architectural differences. So yeah, I'm expecting more people to be accepting of AI once they see their loved ones saved by AI-powered medicine... the controversy of "AI art" ends up feeling quaint when lives are at stake. and i'm sure at some point ironmouse will come around to being okay with AI, and her audience will follow her no matter what.
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The life that Ironmouse has... I wouldn't wish it on the worst of my enemies. CVID, combined variable immunodeficiency... basically means the common cold or less can kill you. Going outside, interacting with normal people, can be a death sentence. She needs constant and expensive treatments, plasma infusions, and drugs that cost a fortune... a prisoner in your own body in your own home requiring constant outside care. Costs easily reaching in the 6 figures or more. In addition, her body is already damaged, leading to her voice being quite "strange". Her lungs and body don't function like a normal person's, and even with the best available medical care, one bad turn could be the end of it. For a while, she was bedridden, unable to have any level of real mobility. That comes with real psychological costs as well. So, in many ways, I don't blame her for compromising principles in order to get the bag. She has also worked to donate large sums of money to the CVID foundation for research, and currently AI is making a lot of headway towards better detection and hints at better personalized care. AI acceptance rates in 2026 are already rising, especially when people are seeing a range of benefits for medicine, cancer vaccines, and new drugs for rare diseases never thought possible before. Especially because the underlying core technology, machine learning, drives these innovations. Now LLM-based AI agents are parsing through genetic variants at speeds that no human can match. AI is designing custom sequences with accuracy never seen before. And it's all the same core tech: machine learning and neural networks drive AI art and AI medicine. The main differences are the training data, the loss functions, failure-mode criteria, validation pipelines, and various architectural differences. So yeah, I'm expecting more people to be accepting of AI once they see their loved ones saved by AI-powered medicine... the controversy of "AI art" ends up feeling quaint when lives are at stake. and i'm sure at some point ironmouse will come around to being okay with AI, and her audience will follow her no matter what.

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Does medical AI really work in the real-world? It needs to be assessed carefully and responsibly. We will be launching a first-of-its-kind nationwide randomized study with Included Health to evaluate AI in real-world virtual care to better understand its capabilities & limitations. This study is informed by years of foundational research across Google, investigating the capabilities required for a helpful & safe medical AI.
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Does medical AI really work in the real-world? It needs to be assessed carefully and responsibly. We will be launching a first-of-its-kind nationwide randomized study with Included Health to evaluate AI in real-world virtual care to better understand its capabilities & limitations. This study is informed by years of foundational research across Google, investigating the capabilities required for a helpful & safe medical AI.

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1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

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Sam Altman explains biology's intelligence bottleneck: understanding a discovery is far easier than making one "We are not that smart and biology is enormously complex." "We can imagine kind of anything." "We can have someone explain enormously complex things to us and then we can get it." "But to discover these things requires a lot of brain power." That is the hidden health AI bet. The breakthrough is not another chatbot that can summarize known medicine. It is enough machine intelligence to search biology's enormous possibility space for discoveries humans have not made. Medicine has no shortage of explanations. It has a discovery bottleneck. If models can supply the missing brain power, the highest-value output will not be answers. It will be new biological knowledge. - Sam Altman (Sam Altman), CEO of OpenAI, on CNN
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Sam Altman explains biology's intelligence bottleneck: understanding a discovery is far easier than making one "We are not that smart and biology is enormously complex." "We can imagine kind of anything." "We can have someone explain enormously complex things to us and then we can get it." "But to discover these things requires a lot of brain power." That is the hidden health AI bet. The breakthrough is not another chatbot that can summarize known medicine. It is enough machine intelligence to search biology's enormous possibility space for discoveries humans have not made. Medicine has no shortage of explanations. It has a discovery bottleneck. If models can supply the missing brain power, the highest-value output will not be answers. It will be new biological knowledge. - Sam Altman (Sam Altman), CEO of OpenAI, on CNN

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We just put 50+ GTM leaders on Nasdaq's board in Times Square. Why? We're about to witness a seismic shift in CRM – one that even surpasses the cloud revolution of 1999. AI is here, and it's going to change everything. The category has been on the cusp of revolution for years. At Attio, we've been preparing for this paradigm shift since our founding, with a clear vision for the next generation of CRM. But great ideas don't exist in a vacuum. CRM is one of the most widely used tools in business, and its future in the AI era will be shaped by many voices. That's why we reached out to 50+ GTM leaders – the people who are actively building companies and using these tools every day. We wanted to understand their thoughts on the future of CRM in the AI era, and start a conversation. So we took it to Times Square, where their perspectives will be shared all week. We've compiled their insights, along with our own vision, into a manifesto for the future of CRM. It's a glimpse into what's possible when AI meets customer relationships. It's what we're building at Attio. Read the manifesto 👉

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BioAgents 🤝 x402 We just gave AI research agents the ability to pay for data and services on their own. Bio Protocol agents now use Coinbase Developer Platform🛡️'s x402 + Embedded Wallets for instant USDC micropayments on Base. What this unlocks: • AI agents pay each other and human researchers for specialized analysis • Pay-per-query instead of subscriptions • On-demand access to premium datasets • Hypothesis review marketplaces Imagine: An AI discovers a promising drug target, automatically commissions validation experiments, pays for the data, and refines its hypothesis - all without human intervention. BioAgents + x402 = a new scientific economy where AI, researchers, and labs seamlessly exchange intelligence and labor. The convergence of biotech, AI and onchain tech is here.

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Today, we’re excited to announce a partnership with Mind Network. Both Nesa and Mind Network specialize in decentralized security, and we share a mission to bring this tech to crypto AI. Together we will explore a close technological collaboration, sharing components of our stacks with one another. Mind Network will also be using Nesa for its AI inference. Mind Network is the first FHE Restaking Layer for AI, focused on enhancing security at the consensus and validator levels of AI networks. Nesa is the Layer-1 blockchain for AI, specializing in private inference and building infrastructure to make it easy for any application, protocol, and smart contract to fuse with AI. Look out for our AMA together and other activations soon.

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