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interesting background: Tibo (hiring) - eng lead for codex at OpenAI - 2010: made the final of the first Belgian olympiad of informatics and finished 22nd in the higher ed category - 2014-15: was at N-SIDE building predictive models for clinical trial supply chains - 2015: swe at google... show more

Chris Barber

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16,833 görüntüleme • 6 ay önce •via X (Twitter)

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Today is my first day at OpenAI! I'm joining the Codex team. I'll be splitting my time between building the Codex app and working with developers/entrepreneurs to help them make the most of Codex. As a Y Combinator alum, I'm really looking forward to working with early-stage startups and couldn't be more energized about OpenAI's $2M investment in new YC startups. Despite OpenAI being the largest company I've been part of, it certainly feels like Sam Altman, Greg Brockman and the whole Codex team are in founder mode. I've never seen another startup move as fast as this team does. I'm truly honored to be joining such a brilliant team. As always, it's all about the people... so I'd like to thank Romain Huet, dominik kundel, corey.ching, Andrew Ambrosino, Alexander Embiricos, Tibo, and the rest of the Codex team for their trust. And thanks to Pankaj Gupta, Gilad Mishne, and Will Horn for believing in me, bringing me back to Silicon Valley after almost ten years, and giving me the opportunity to learn about AI.

Today is my first day at OpenAI! I'm joining the Codex team. I'll be splitting my time between building the Codex app and working with developers/entrepreneurs to help them make the most of Codex. As a Y Combinator alum, I'm really looking forward to working with early-stage startups and couldn't be more energized about OpenAI's $2M investment in new YC startups. Despite OpenAI being the largest company I've been part of, it certainly feels like Sam Altman, Greg Brockman and the whole Codex team are in founder mode. I've never seen another startup move as fast as this team does. I'm truly honored to be joining such a brilliant team. As always, it's all about the people... so I'd like to thank Romain Huet, dominik kundel, corey.ching, Andrew Ambrosino, Alexander Embiricos, Tibo, and the rest of the Codex team for their trust. And thanks to Pankaj Gupta, Gilad Mishne, and Will Horn for believing in me, bringing me back to Silicon Valley after almost ten years, and giving me the opportunity to learn about AI.

Axel Delafosse

166,958 görüntüleme • 4 ay önce

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

Rohan Varma

760,092 görüntüleme • 7 ay önce

Get to know - Kristoffer Reitan -- solo leader Truist Championship Born in 1998 in Oslo, Norway Introduced to the game by his father. His individual amateur titles include: Valderrama Boys Invitational Italian International U16 Championship Skania Junior Open Junior Orange Bowl Championship He grew up representing Norway and was frequently on the same national teams as Viktor Hovland. They won the 2014 Toyota Junior World Cup, a year after they finished runner-up at the European Boys Team Championship Reitan reached quarterfinals of the 2015 US Junior Amateur where Hovland was his caddie. He represented Team Europe at the 2016 Junior Ryder Cup and was one of only three visiting players to claim victory in the singles session. While still being an amateur, Reitan became the first Norwegian to qualify for the U.S. Open in 2018. Kristoffer played half a season at the University of Texas before choosing to leave and turn pro in 2018. He earned his DP World Tour card at Q-School and was the only amateur to earn status that year. He went through a rough stretch on DP World Tour where he then played on the Challenge Tour before winning the 2024 Rolex Grand Final earning his way back. Kristoffer Reitan has two DP World Tour titles: 2025 Soul Open 2025 Nedbank Golf Challenge He finished 8th in the Race To Dubai rankings and earned dual status on the PGA TOUR for 2026. Kristoffer finished T2 with fellow Norwegian Kris Ventura at the Zurich Classic of New Orleans and looks for his first PGA TOUR win today at the Truist Championship.

Get to know - Kristoffer Reitan -- solo leader Truist Championship Born in 1998 in Oslo, Norway Introduced to the game by his father. His individual amateur titles include: Valderrama Boys Invitational Italian International U16 Championship Skania Junior Open Junior Orange Bowl Championship He grew up representing Norway and was frequently on the same national teams as Viktor Hovland. They won the 2014 Toyota Junior World Cup, a year after they finished runner-up at the European Boys Team Championship Reitan reached quarterfinals of the 2015 US Junior Amateur where Hovland was his caddie. He represented Team Europe at the 2016 Junior Ryder Cup and was one of only three visiting players to claim victory in the singles session. While still being an amateur, Reitan became the first Norwegian to qualify for the U.S. Open in 2018. Kristoffer played half a season at the University of Texas before choosing to leave and turn pro in 2018. He earned his DP World Tour card at Q-School and was the only amateur to earn status that year. He went through a rough stretch on DP World Tour where he then played on the Challenge Tour before winning the 2024 Rolex Grand Final earning his way back. Kristoffer Reitan has two DP World Tour titles: 2025 Soul Open 2025 Nedbank Golf Challenge He finished 8th in the Race To Dubai rankings and earned dual status on the PGA TOUR for 2026. Kristoffer finished T2 with fellow Norwegian Kris Ventura at the Zurich Classic of New Orleans and looks for his first PGA TOUR win today at the Truist Championship.

PGA TOUR

211,447 görüntüleme • 4 ay önce

$BNB turns 9 today! On July 14, 2017, $BNB launched as an ERC-20 token on Ethereum. It started out as a utility token for a young exchange, and nine years later it sits at the center of one of the most active onchain ecosystems in crypto. Here’s a quick breakdown of that journey: 2017 - Launched on Ethereum at $0.15 with a 200M total supply 2019 - Migrated to its own chain and became a native asset for the first time 2020 - Binance Smart Chain went live, bringing EVM smart contracts and making $BNB the gas of a fast-growing dApp ecosystem 2021 - The DeFi and GameFi boom put the chain at the center of onchain activity, and $BNB reached $690 2022 - Binance Smart Chain became BNB Chain, and BNB took on a new meaning: Build N Build 2023 - The stack expanded with opBNB for scale and BNB Greenfield for storage 2024 - Beacon Chain fusion brought staking, governance, and everything else onto one chain 2025 - Pascal, Lorentz, and Maxwell cut block times from 3s to 0.75s, DEX volume set records, and $BNB hit a new all-time high of $1,370 2026 (so far) · Blocks now land in 450ms with 650ms finality, roughly double the throughput the chain had in January Along the way, over 65M of the original 200M $BNB supply has been burned, on the road to a final supply of 100M. The H2 2026 roadmap keeps the focus where it has been all year: doubling mainnet throughput again, and building a next-generation L1 designed for 100K+ TPS with transactions confirmed in under 50ms. Nine years in, and $BNB has never been faster to use, cheaper to move, or scarcer to hold. Happy birthday, $BNB.

$BNB turns 9 today! On July 14, 2017, $BNB launched as an ERC-20 token on Ethereum. It started out as a utility token for a young exchange, and nine years later it sits at the center of one of the most active onchain ecosystems in crypto. Here’s a quick breakdown of that journey: 2017 - Launched on Ethereum at $0.15 with a 200M total supply 2019 - Migrated to its own chain and became a native asset for the first time 2020 - Binance Smart Chain went live, bringing EVM smart contracts and making $BNB the gas of a fast-growing dApp ecosystem 2021 - The DeFi and GameFi boom put the chain at the center of onchain activity, and $BNB reached $690 2022 - Binance Smart Chain became BNB Chain, and BNB took on a new meaning: Build N Build 2023 - The stack expanded with opBNB for scale and BNB Greenfield for storage 2024 - Beacon Chain fusion brought staking, governance, and everything else onto one chain 2025 - Pascal, Lorentz, and Maxwell cut block times from 3s to 0.75s, DEX volume set records, and $BNB hit a new all-time high of $1,370 2026 (so far) · Blocks now land in 450ms with 650ms finality, roughly double the throughput the chain had in January Along the way, over 65M of the original 200M $BNB supply has been burned, on the road to a final supply of 100M. The H2 2026 roadmap keeps the focus where it has been all year: doubling mainnet throughput again, and building a next-generation L1 designed for 100K+ TPS with transactions confirmed in under 50ms. Nine years in, and $BNB has never been faster to use, cheaper to move, or scarcer to hold. Happy birthday, $BNB.

BNB Chain

96,059 görüntüleme • 2 ay önce

Steven Kampfer has announced his retirement from professional hockey after nine seasons in the NHL. Steven was drafted by the Anaheim Ducks in the fourth round of the 2007 NHL Entry Draft after his freshman season at the University of Michigan, and would play all four seasons for his hometown school, winning national championships in 2008 and 2010. The defenseman joined the NHLBruins via trade in March 2010, and made his NHL debut the following season on December 12, 2010. Two months later, on February 12, 2011, he scored his first NHL goal, putting a second-period shot past Tampa Bay’s Dan Ellis. Steven appeared in 38 games for Boston during the 2010-11 campaign as he and the Bruins went on to hoist Lord Stanley’s Cup on June 15, 2011. Steven played 113 regular-season games for Boston before joining the Minnesota Wild ahead of the 2012 trade deadline. He remained with the Wild franchise until 2014, signing with the New York Rangers in July before ultimately joining the Florida Panthers for the 2014-15 season. After his time in Florida and a return to New York, Steven rejoined the Bruins from 2018-21. His final professional seasons were split between the KHL and AHL, and wrapped up with Chelyabinsk this past season. Steven finishes his NHL career with 231 regular-season games played, registering 15 goals and 39 points. Internationally, Steven proudly represented his country as an alternate captain for Team USA at the 2022 Olympics. Congratulations, Steven, on a great career, and welcome to the NHL Alumni Association! P.s. - enjoy a special message from a former teammate and now fellow Alumni!

Steven Kampfer has announced his retirement from professional hockey after nine seasons in the NHL. Steven was drafted by the Anaheim Ducks in the fourth round of the 2007 NHL Entry Draft after his freshman season at the University of Michigan, and would play all four seasons for his hometown school, winning national championships in 2008 and 2010. The defenseman joined the NHLBruins via trade in March 2010, and made his NHL debut the following season on December 12, 2010. Two months later, on February 12, 2011, he scored his first NHL goal, putting a second-period shot past Tampa Bay’s Dan Ellis. Steven appeared in 38 games for Boston during the 2010-11 campaign as he and the Bruins went on to hoist Lord Stanley’s Cup on June 15, 2011. Steven played 113 regular-season games for Boston before joining the Minnesota Wild ahead of the 2012 trade deadline. He remained with the Wild franchise until 2014, signing with the New York Rangers in July before ultimately joining the Florida Panthers for the 2014-15 season. After his time in Florida and a return to New York, Steven rejoined the Bruins from 2018-21. His final professional seasons were split between the KHL and AHL, and wrapped up with Chelyabinsk this past season. Steven finishes his NHL career with 231 regular-season games played, registering 15 goals and 39 points. Internationally, Steven proudly represented his country as an alternate captain for Team USA at the 2022 Olympics. Congratulations, Steven, on a great career, and welcome to the NHL Alumni Association! P.s. - enjoy a special message from a former teammate and now fellow Alumni!

NHL Alumni

123,734 görüntüleme • 1 yıl önce

𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝗻 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 & 𝗗𝗲𝗳𝗲𝗻𝗰𝗲. PTC Industries and Aerolloy Technologies mark another defining milestone with the installation and successful trials of 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗢𝗽𝗲𝗻 𝗗𝗶𝗲 𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 for critical materials. This 𝟰𝟱𝟬𝟬/𝟱𝟭𝟬𝟬𝗧 press now is operational at the Strategic Materials Technology Complex in Lucknow. This is not incremental capacity. This is a strategic capability. Engineered for precision and scale, this system enables production of large, complex forgings in 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺, 𝗦𝘂𝗽𝗲𝗿𝗮𝗹𝗹𝗼𝘆𝘀, and advanced high-performance alloys powering critical components that form the backbone of next-generation aeroengines and mission-critical defence platforms. With this, our ecosystem now brings together melting, casting, and forging - all in one location. No other supply chain globally offers this level of integration at this scale and precision at the same location. With this step, we do. What this unlocks: 🔹 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗲: Building domestic strength in critical forging capabilities that India has long relied on imports for. 🔹 𝗚𝗹𝗼𝗯𝗮𝗹 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀: Meeting the exacting requirements of advanced civil and military aerospace programs worldwide. 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: From critical materials to finished components with scale, and reliability at every step. This milestone is part of a larger conviction to build, scale, and lead in high-performance materials and manufacturing. From India, for the world. Read more here:

𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝗻 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 & 𝗗𝗲𝗳𝗲𝗻𝗰𝗲. PTC Industries and Aerolloy Technologies mark another defining milestone with the installation and successful trials of 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗢𝗽𝗲𝗻 𝗗𝗶𝗲 𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 for critical materials. This 𝟰𝟱𝟬𝟬/𝟱𝟭𝟬𝟬𝗧 press now is operational at the Strategic Materials Technology Complex in Lucknow. This is not incremental capacity. This is a strategic capability. Engineered for precision and scale, this system enables production of large, complex forgings in 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺, 𝗦𝘂𝗽𝗲𝗿𝗮𝗹𝗹𝗼𝘆𝘀, and advanced high-performance alloys powering critical components that form the backbone of next-generation aeroengines and mission-critical defence platforms. With this, our ecosystem now brings together melting, casting, and forging - all in one location. No other supply chain globally offers this level of integration at this scale and precision at the same location. With this step, we do. What this unlocks: 🔹 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗲: Building domestic strength in critical forging capabilities that India has long relied on imports for. 🔹 𝗚𝗹𝗼𝗯𝗮𝗹 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀: Meeting the exacting requirements of advanced civil and military aerospace programs worldwide. 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: From critical materials to finished components with scale, and reliability at every step. This milestone is part of a larger conviction to build, scale, and lead in high-performance materials and manufacturing. From India, for the world. Read more here:

PTC Industries

71,644 görüntüleme • 6 ay önce

NEW: Senior official at the U.S. State Department Josh Paul has resigned over Biden's failure in the Middle East. In his resignation letter, Paul strongly condemned Hamas before blasting the Biden Administration for failing to put American interests first. “Let me be clear: Hamas' attack on Israel was not just a monstrosity; it was a monstrosity of monstrosities.” “But I believe to the core of my soul that the response Israel is taking, and with it the American support both for that response... will only lead to more and deeper suffering for both the Israeli and the Palestinian people - and is not in the long term American interest.” “This Administration’s response and much of Congress’ as well - is an impulsive reaction built on confirmation bias, political convenience, intellectual bankruptcy and bureaucratic inertia.” “Blind support for one side is destructive in the long term to the interests of the people on both sides. I fear we are repeating the same mistakes we have made these past decades, and I decline to be a part of it for longer.” Wow.

NEW: Senior official at the U.S. State Department Josh Paul has resigned over Biden's failure in the Middle East. In his resignation letter, Paul strongly condemned Hamas before blasting the Biden Administration for failing to put American interests first. “Let me be clear: Hamas' attack on Israel was not just a monstrosity; it was a monstrosity of monstrosities.” “But I believe to the core of my soul that the response Israel is taking, and with it the American support both for that response... will only lead to more and deeper suffering for both the Israeli and the Palestinian people - and is not in the long term American interest.” “This Administration’s response and much of Congress’ as well - is an impulsive reaction built on confirmation bias, political convenience, intellectual bankruptcy and bureaucratic inertia.” “Blind support for one side is destructive in the long term to the interests of the people on both sides. I fear we are repeating the same mistakes we have made these past decades, and I decline to be a part of it for longer.” Wow.

Collin Rugg

3,777,519 görüntüleme • 2 yıl önce

JUDGE TO MUSK: PEOPLE DON'T WANT THE FUTURE OF HUMANITY IN YOUR HANDS EITHER Judge Yvonne Gonzalez Rogers cut through three days of AI doomsday testimony in the Musk v. Altman trial with a line aimed straight at Musk: "I suspect there are plenty of people who do not want to put the future of humanity in Mr. Musk's hands." The judge flagged the irony that Musk is suing OpenAI for straying from its nonprofit AI safety mission while running xAI, "a company in the exact same space," and ordered both sides to drop the existential AI risk framing. "The question here is about whether there was a breach of charitable trust. This is not a trial on the safety risks of artificial intelligence." The bench order came as Musk wrapped two hours of cross-examination. He named Microsoft's $10 billion investment as the moment he believed Altman and Brockman were trying to "steal the charity," and called Altman's leadership a betrayal of OpenAI's nonprofit founding mission. OpenAI's lead counsel William Savitt opened with: "We are here because Mr. Musk didn't get his way." Defense argues Musk demanded majority equity, walked when refused, then sued after launching xAI as a competitor. Musk seeks reversion to nonprofit status, removal of Altman and Brockman from the board, and roughly $130 billion in damages. Trial resumes Monday with Jared Birchall, then Greg Brockman expected next. Altman testifies later.

JUDGE TO MUSK: PEOPLE DON'T WANT THE FUTURE OF HUMANITY IN YOUR HANDS EITHER Judge Yvonne Gonzalez Rogers cut through three days of AI doomsday testimony in the Musk v. Altman trial with a line aimed straight at Musk: "I suspect there are plenty of people who do not want to put the future of humanity in Mr. Musk's hands." The judge flagged the irony that Musk is suing OpenAI for straying from its nonprofit AI safety mission while running xAI, "a company in the exact same space," and ordered both sides to drop the existential AI risk framing. "The question here is about whether there was a breach of charitable trust. This is not a trial on the safety risks of artificial intelligence." The bench order came as Musk wrapped two hours of cross-examination. He named Microsoft's $10 billion investment as the moment he believed Altman and Brockman were trying to "steal the charity," and called Altman's leadership a betrayal of OpenAI's nonprofit founding mission. OpenAI's lead counsel William Savitt opened with: "We are here because Mr. Musk didn't get his way." Defense argues Musk demanded majority equity, walked when refused, then sued after launching xAI as a competitor. Musk seeks reversion to nonprofit status, removal of Altman and Brockman from the board, and roughly $130 billion in damages. Trial resumes Monday with Jared Birchall, then Greg Brockman expected next. Altman testifies later.

BSCN

50,908 görüntüleme • 5 ay önce

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 görüntüleme • 1 yıl önce

Are you an Insurance Advisor/Mutual Fund Distributor or advise clients on financial products? To make life easier for financial advisors, we have now integrated the ProtectMeWell API into a Google Sheet This means that you can work on a Google Sheet and generate reports (👇) like these for your prospective customers in real-time. 🚀Would you want to be an early adopter of "ProtectMeWell on Google Sheets"? Here is the deal 1⃣ I am seeking the help of 20 passionate advisors for closed user group testing. On a first come, first serve basis. DM me, if you are interested 2⃣ I will extend access to the Google Sheets for two weeks for ₹999. 100% refundable when you provide me with at least 5 actionable areas of improvement from a usability perspective of Google Sheets. 3⃣ When it is launched for the wider audience (late August 2023) you get to use it for free until 31 March 2024 (subject to 10,000 API calls) PS: To clarify, it is not the testing exercise of API (or algorithm), which is robust and has been used by over 100K people. The focus is on the usability of Google Sheets so that a wider audience finds it easy to navigate Sounds interesting? DM me Please amplify for good karma 🙏

Are you an Insurance Advisor/Mutual Fund Distributor or advise clients on financial products? To make life easier for financial advisors, we have now integrated the ProtectMeWell API into a Google Sheet This means that you can work on a Google Sheet and generate reports (👇) like these for your prospective customers in real-time. 🚀Would you want to be an early adopter of "ProtectMeWell on Google Sheets"? Here is the deal 1⃣ I am seeking the help of 20 passionate advisors for closed user group testing. On a first come, first serve basis. DM me, if you are interested 2⃣ I will extend access to the Google Sheets for two weeks for ₹999. 100% refundable when you provide me with at least 5 actionable areas of improvement from a usability perspective of Google Sheets. 3⃣ When it is launched for the wider audience (late August 2023) you get to use it for free until 31 March 2024 (subject to 10,000 API calls) PS: To clarify, it is not the testing exercise of API (or algorithm), which is robust and has been used by over 100K people. The focus is on the usability of Google Sheets so that a wider audience finds it easy to navigate Sounds interesting? DM me Please amplify for good karma 🙏

Sumit Ramani

42,240 görüntüleme • 3 yıl önce

Eleven years ago I founded my first startup. One of the first things I did was to get a desk at the startup coworking space at Google Campus in Old Street. Through that community, I met so many of the people who would shape my career and learned so much about what the startup ethos is truly about. As we have scaled Attio, we've partnered with Google Cloud to build on top of the mind blowing technologies they've created like Spanner, Colossus and Gemini to power a new generation of CRM for our customers. For all these reasons, Google is deeply woven into my startup journey and that makes today's announcement so special to me. I'm beyond excited to announce our $52 million Series B, led by Michael McBride and the GV, along with the continued support of our incredible partners from Redpoint , Point Nine , Balderton Capital and 01A. We're entering a software renaissance driven by AI and we're unbelievably excited about continuing the hard work of delivering the next generation of CRM. We're building a truly AI-native platform that can run code, integrate anywhere and bring unified context for the next generation of autonomous workflows. None of this would have been possible without the support of the more than 5,000 customers who have already chosen Attio as the backbone of their GTM stack. Your belief in our vision is what has made this possible and I can't wait to share more about some of the incredible functionality that's still to come. I'm incredibly grateful for the continued support of alex bard , Patrick Chase, Ricardo Sequerra Amram, Daniel Waterhouse and dick costolo whose belief in Attio from the earliest days has been so essential to our progress so far and to my co-founder Nicolas Sharp, for the many sleepless nights and challenging decisions that got us this far. We've got so much still to build, and we're always hiring, so if you are interested in being part of reinventing the core of the GTM stack, please take a look at For now though, it's back to building!

Eleven years ago I founded my first startup. One of the first things I did was to get a desk at the startup coworking space at Google Campus in Old Street. Through that community, I met so many of the people who would shape my career and learned so much about what the startup ethos is truly about. As we have scaled Attio, we've partnered with Google Cloud to build on top of the mind blowing technologies they've created like Spanner, Colossus and Gemini to power a new generation of CRM for our customers. For all these reasons, Google is deeply woven into my startup journey and that makes today's announcement so special to me. I'm beyond excited to announce our $52 million Series B, led by Michael McBride and the GV, along with the continued support of our incredible partners from Redpoint , Point Nine , Balderton Capital and 01A. We're entering a software renaissance driven by AI and we're unbelievably excited about continuing the hard work of delivering the next generation of CRM. We're building a truly AI-native platform that can run code, integrate anywhere and bring unified context for the next generation of autonomous workflows. None of this would have been possible without the support of the more than 5,000 customers who have already chosen Attio as the backbone of their GTM stack. Your belief in our vision is what has made this possible and I can't wait to share more about some of the incredible functionality that's still to come. I'm incredibly grateful for the continued support of alex bard , Patrick Chase, Ricardo Sequerra Amram, Daniel Waterhouse and dick costolo whose belief in Attio from the earliest days has been so essential to our progress so far and to my co-founder Nicolas Sharp, for the many sleepless nights and challenging decisions that got us this far. We've got so much still to build, and we're always hiring, so if you are interested in being part of reinventing the core of the GTM stack, please take a look at For now though, it's back to building!

Alexander Christie

16,506 görüntüleme • 1 yıl önce

Three of the biggest companies in the world are going public at the same time. The market has never seen anything like this. And this is how major bubbles peak. SpaceX is targeting a June 2026 IPO raising up to $75 billion at a $1.5 trillion valuation, the largest IPO in human history, bigger than Saudi Aramco's $29 billion raise in 2019. OpenAI is filing with the SEC targeting September 2026, raising at least $60 billion at a $1 trillion valuation. The company is losing $14 billion this year alone and won't be profitable until 2029. Anthropic just raised $30 billion in February 2026 at a $380 billion valuation. Its valuation has increased 15x in just 14 months. It is now preparing what could be a $900 billion private round before going public. Combined, these three IPOs could pull $200 billion from global capital markets. That is real. That is unprecedented. And here's the real risk. OpenAI is projected to lose $44 billion cumulatively before reaching profitability. Anthropic's valuation has risen 15x in 14 months on the same underlying business. Both companies are being priced for perfection at a moment when the first companies to actually deploy their products at scale are blowing their AI budgets and cancelling licenses. The real liquidation pressure from these IPOs doesn't even arrive at listing day. It arrives 180 days later when lock-up periods expire and early investors and employees can finally sell. That is when the real rotation happens. The S&P 500 concentration risk is genuine. The Magnificent 7 now represent 36% of the entire index, higher than the dot-com peak in 2000. If any of these companies disappoint, the index follows. That is not a conspiracy. That is basic math. Three historically unprecedented IPOs. $44 billion in projected OpenAI losses. An AI capex cycle that must deliver ROI. Lock-up expirations six months after listing. That combination is what you must pay attention to, as it often break cycles.

Three of the biggest companies in the world are going public at the same time. The market has never seen anything like this. And this is how major bubbles peak. SpaceX is targeting a June 2026 IPO raising up to $75 billion at a $1.5 trillion valuation, the largest IPO in human history, bigger than Saudi Aramco's $29 billion raise in 2019. OpenAI is filing with the SEC targeting September 2026, raising at least $60 billion at a $1 trillion valuation. The company is losing $14 billion this year alone and won't be profitable until 2029. Anthropic just raised $30 billion in February 2026 at a $380 billion valuation. Its valuation has increased 15x in just 14 months. It is now preparing what could be a $900 billion private round before going public. Combined, these three IPOs could pull $200 billion from global capital markets. That is real. That is unprecedented. And here's the real risk. OpenAI is projected to lose $44 billion cumulatively before reaching profitability. Anthropic's valuation has risen 15x in 14 months on the same underlying business. Both companies are being priced for perfection at a moment when the first companies to actually deploy their products at scale are blowing their AI budgets and cancelling licenses. The real liquidation pressure from these IPOs doesn't even arrive at listing day. It arrives 180 days later when lock-up periods expire and early investors and employees can finally sell. That is when the real rotation happens. The S&P 500 concentration risk is genuine. The Magnificent 7 now represent 36% of the entire index, higher than the dot-com peak in 2000. If any of these companies disappoint, the index follows. That is not a conspiracy. That is basic math. Three historically unprecedented IPOs. $44 billion in projected OpenAI losses. An AI capex cycle that must deliver ROI. Lock-up expirations six months after listing. That combination is what you must pay attention to, as it often break cycles.

Crypto Rover

69,902 görüntüleme • 4 ay önce

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

🩵BlueBeba🩵

11,398 görüntüleme • 6 ay önce

We are releasing AutoResearchExam, a benchmark on open-ended machine learning and engineering tasks. Our benchmark covers seven research areas including model training, data curation, AI safety and interpretability. In each task, we give agents 24 hours with a CPU or GPU machine to develop and improve their solutions through experiments and feedback. We measure both speed and quality with a combined score. Our benchmark has a unique feature: testing if agents create improvements that hold up on data they never see. We find that AI research agents often overfit as they try to improve. We see an interesting head-to-head comparison at the frontier: Astra starts the strongest and holds the lead for up to 19 hours but Fable 5.1 catches up and gets the top performing spot in the final hours. Qwen3.8 Max, Gemini 3.8 Flash and Grok 4.6 all sit on the cost-performance Pareto frontier, giving strong options at lower API budgets. Anthropic's Opus and Fable retain nearly all their validation performance on hidden tests, with gaps of 1.1% and 2.9%. Astra's improvement over Sol extends to generalization too, with that gap falling from 6.9% to 1.7%. (1/n)

We are releasing AutoResearchExam, a benchmark on open-ended machine learning and engineering tasks. Our benchmark covers seven research areas including model training, data curation, AI safety and interpretability. In each task, we give agents 24 hours with a CPU or GPU machine to develop and improve their solutions through experiments and feedback. We measure both speed and quality with a combined score. Our benchmark has a unique feature: testing if agents create improvements that hold up on data they never see. We find that AI research agents often overfit as they try to improve. We see an interesting head-to-head comparison at the frontier: Astra starts the strongest and holds the lead for up to 19 hours but Fable 5.1 catches up and gets the top performing spot in the final hours. Qwen3.8 Max, Gemini 3.8 Flash and Grok 4.6 all sit on the cost-performance Pareto frontier, giving strong options at lower API budgets. Anthropic's Opus and Fable retain nearly all their validation performance on hidden tests, with gaps of 1.1% and 2.9%. Astra's improvement over Sol extends to generalization too, with that gap falling from 6.9% to 1.7%. (1/n)

Alex Dimakis

2,031,652 görüntüleme • 20 gün önce

As always everyone is blind staring at the progress of LLMs for coding and chat But meanwhile the new SOTA video model Seedance 2.5 has been slowly rolling out and it's really quite exceptional It's made by ByteDance (TikTok) who of course have lots of training data With just a few reference pics, it can get quite close to how you look IRL and you can do quite professional video shots with just a prompt I'd say it's the first video model that's now at the level of image models with the level of character likeness, cracking that in image models also took about 3 years (2022-2025) Generating 15 seconds takes about 4 minutes I put it live now on Photo AI, you can use it under [ Make video ] from the sidebar with just a prompt and your model selected! So you don't need to take an AI photo first and then turn that into a video! Saves lots of time :D It's more expensive than but I kept the credits the same (30 for 1 video) It also works inside the new video editor and you can make changes in your video with [ Magic edit ] in both the main app and the video editor Also a message for my server guy Daniel Lockyer (it can do voice too and you can even submit a voice sample of yourself, but I didn't here)

As always everyone is blind staring at the progress of LLMs for coding and chat But meanwhile the new SOTA video model Seedance 2.5 has been slowly rolling out and it's really quite exceptional It's made by ByteDance (TikTok) who of course have lots of training data With just a few reference pics, it can get quite close to how you look IRL and you can do quite professional video shots with just a prompt I'd say it's the first video model that's now at the level of image models with the level of character likeness, cracking that in image models also took about 3 years (2022-2025) Generating 15 seconds takes about 4 minutes I put it live now on Photo AI, you can use it under [ Make video ] from the sidebar with just a prompt and your model selected! So you don't need to take an AI photo first and then turn that into a video! Saves lots of time :D It's more expensive than but I kept the credits the same (30 for 1 video) It also works inside the new video editor and you can make changes in your video with [ Magic edit ] in both the main app and the video editor Also a message for my server guy Daniel Lockyer (it can do voice too and you can even submit a voice sample of yourself, but I didn't here)

@levelsio

711,714 görüntüleme • 1 ay önce

If last year was great. This year was 🤯. Alhamdullilah. 10 days. 3 houses. 22 Muslims in tech. The houses were packed mashallah with founders including 3x YC founders, exited founders, VCs in the Muslim space, apps with millions of users, founders of Muslim accelerators and engineers working at leading companies. People flew in from 🇬🇧🇦🇪🇨🇦🇺🇸🇧🇭🇳🇱🇮🇪 to make this. SF Tech House | 2024 Edition | The Highlights: ✨ House dinners with Muslims from companies including Microsoft, Tesla, Google, YouTube & Neuralink ✨ Private house fireside chats with special guests including exited founder to Uber, ex-VP at Google Cloud and Sami Hamdi (Sami Hamdi سامي الهاشمي الحامدي) ✨ Muslim Tech Fest (Muslim Tech Fest) - Haroon's talk was literally one of the best I've ever heard. ✨ Discussions around AI & Ethics at Zaytuna College with Hamza Yusuf. ✨ Visits to Stanford (absolutely stunning ... had to get me some merch) & Berkley university campuses ✨ MTW Kick Off Lunch at Sals + Tech Dinner at Zareens ✨ Lunch + tour of Google with their Muslim Network including a Demo Day at their offices. We asked some important & tough questions. ✨ White Water Rafting on South Fork American River. ✨ Q&A at YC with YC Partner Brad Flora who was very nice and accommodating. ✨ & Buildspace tour with Omar Waseem + Q&A with their GP Hubert Thieblot ✨ Visit to Apple Visitor Centre in Cupertino ✨ Experiencing Waymo (driverless taxi) in San Francisco ✨ BBQ with Muslims in Tech in South Bay ✨ Marshmallows on the Beach with the Muslim Bay Area community It was an unbelievable week packed with value and amazing vibes alhamdullilah ❤️ The talent in the house was insane. A text I received from someone staying in the house after returning home: "I can without doubt say that there are a few unicorns coming out of that house. What you’ve done is unprecedented for our community, I always felt we were the underdogs, I can almost certainly say after this that we are now in the lead. I don’t think there is any other community who is so supportive of each other, while being ambitious to try to build great things alhamdulilah." We all left with huge determination to build impactful solutions for humanity, to encourage ihsaan (perfection) and and to bring some of our learnings from the Bay Area to our respective countries to help build Muslim tech ecosystems across the world. I pray this trip helped plant some seeds 🌱 We'll be measuring the success of it by the progress we see in the years to come inshaAllah!

If last year was great. This year was 🤯. Alhamdullilah. 10 days. 3 houses. 22 Muslims in tech. The houses were packed mashallah with founders including 3x YC founders, exited founders, VCs in the Muslim space, apps with millions of users, founders of Muslim accelerators and engineers working at leading companies. People flew in from 🇬🇧🇦🇪🇨🇦🇺🇸🇧🇭🇳🇱🇮🇪 to make this. SF Tech House | 2024 Edition | The Highlights: ✨ House dinners with Muslims from companies including Microsoft, Tesla, Google, YouTube & Neuralink ✨ Private house fireside chats with special guests including exited founder to Uber, ex-VP at Google Cloud and Sami Hamdi (Sami Hamdi سامي الهاشمي الحامدي) ✨ Muslim Tech Fest (Muslim Tech Fest) - Haroon's talk was literally one of the best I've ever heard. ✨ Discussions around AI & Ethics at Zaytuna College with Hamza Yusuf. ✨ Visits to Stanford (absolutely stunning ... had to get me some merch) & Berkley university campuses ✨ MTW Kick Off Lunch at Sals + Tech Dinner at Zareens ✨ Lunch + tour of Google with their Muslim Network including a Demo Day at their offices. We asked some important & tough questions. ✨ White Water Rafting on South Fork American River. ✨ Q&A at YC with YC Partner Brad Flora who was very nice and accommodating. ✨ & Buildspace tour with Omar Waseem + Q&A with their GP Hubert Thieblot ✨ Visit to Apple Visitor Centre in Cupertino ✨ Experiencing Waymo (driverless taxi) in San Francisco ✨ BBQ with Muslims in Tech in South Bay ✨ Marshmallows on the Beach with the Muslim Bay Area community It was an unbelievable week packed with value and amazing vibes alhamdullilah ❤️ The talent in the house was insane. A text I received from someone staying in the house after returning home: "I can without doubt say that there are a few unicorns coming out of that house. What you’ve done is unprecedented for our community, I always felt we were the underdogs, I can almost certainly say after this that we are now in the lead. I don’t think there is any other community who is so supportive of each other, while being ambitious to try to build great things alhamdulilah." We all left with huge determination to build impactful solutions for humanity, to encourage ihsaan (perfection) and and to bring some of our learnings from the Bay Area to our respective countries to help build Muslim tech ecosystems across the world. I pray this trip helped plant some seeds 🌱 We'll be measuring the success of it by the progress we see in the years to come inshaAllah!

Abdul-Rahman

51,519 görüntüleme • 2 yıl önce

$Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.$

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.

Markus J. Buehler

10,095 görüntüleme • 4 ay önce

🤔Adam Feuerstein: Creep, hedge fund cannon fodder or senior columnist? Adam Feuerstein Senior Bio-Tech Writer at StatNews Adam Feuerstein ✡️ STAT ➡️The Creep On January 2nd, 2025 Mr. Feuerstein asked the public for a list of names of people that post about four specific stocks. See Image 1. $NWBO $SGMO $VKTX $TGTX Mr. Feuerstein once found a $NWBO retail investor's phone number and called this person leaving the attached voicemail. See Image/Video 2. This person never provided their phone number to Mr. Feuerstein. ➡️Hedge Fund Cannon Fodder Seven market makers that are being sued by $NWBO for illegal market manipulation, including the lead Defendant, Citadel Securities, claimed the $NWBO share price dropped on May 10, 2022, the day #DCVax-L topline data was released, due in part to a Feuerstein article claiming the results were negative. The market makers claim Adam Feuerstein was the reason the $NWBO share price dropped and it had nothing to do with spoofing. Yet, the results were positive: Further, the share price actually increased after Mr. Feuerstein's article released. The $NWBO share price only declined during the illegal share price manipulation, i.e. spoofing. To read more details as to how the MMs and hedge funds tried to use Mr. Feuerstein as cannon fodder, see: ➡️The Reporter According to the bio listed at "Adam Feuerstein is a senior writer and biotech columnist for STAT, reporting on the crossroads of drug development, business, Wall Street, and biotechnology. He is also a cohost of STAT's weekly "The Readout LOUD" podcast and the author of the weekly newsletter Adam's Biotech Scorecard. In 2022, a series of stories by Feuerstein and STAT colleagues that examined Biogen and the controversial approval of its Alzheimer's disease drug Aduhelm won the George Polk Award for medical reporting, and NIHCM and SABEW journalism prizes. Prior to joining STAT in 2017, Feuerstein was a longtime biotech reporter at TheStreet, a biotech analyst for a New York investment fund, and covered the early internet and dot-com era as a San Francisco-based technology reporter." ➡️Which is it? Hedge fund cannon fodder? Creep? Columnist? ✅How about a little bit of all three. [1]

🤔Adam Feuerstein: Creep, hedge fund cannon fodder or senior columnist? Adam Feuerstein Senior Bio-Tech Writer at StatNews Adam Feuerstein ✡️ STAT ➡️The Creep On January 2nd, 2025 Mr. Feuerstein asked the public for a list of names of people that post about four specific stocks. See Image 1. $NWBO $SGMO $VKTX $TGTX Mr. Feuerstein once found a $NWBO retail investor's phone number and called this person leaving the attached voicemail. See Image/Video 2. This person never provided their phone number to Mr. Feuerstein. ➡️Hedge Fund Cannon Fodder Seven market makers that are being sued by $NWBO for illegal market manipulation, including the lead Defendant, Citadel Securities, claimed the $NWBO share price dropped on May 10, 2022, the day #DCVax-L topline data was released, due in part to a Feuerstein article claiming the results were negative. The market makers claim Adam Feuerstein was the reason the $NWBO share price dropped and it had nothing to do with spoofing. Yet, the results were positive: Further, the share price actually increased after Mr. Feuerstein's article released. The $NWBO share price only declined during the illegal share price manipulation, i.e. spoofing. To read more details as to how the MMs and hedge funds tried to use Mr. Feuerstein as cannon fodder, see: ➡️The Reporter According to the bio listed at "Adam Feuerstein is a senior writer and biotech columnist for STAT, reporting on the crossroads of drug development, business, Wall Street, and biotechnology. He is also a cohost of STAT's weekly "The Readout LOUD" podcast and the author of the weekly newsletter Adam's Biotech Scorecard. In 2022, a series of stories by Feuerstein and STAT colleagues that examined Biogen and the controversial approval of its Alzheimer's disease drug Aduhelm won the George Polk Award for medical reporting, and NIHCM and SABEW journalism prizes. Prior to joining STAT in 2017, Feuerstein was a longtime biotech reporter at TheStreet, a biotech analyst for a New York investment fund, and covered the early internet and dot-com era as a San Francisco-based technology reporter." ➡️Which is it? Hedge fund cannon fodder? Creep? Columnist? ✅How about a little bit of all three. [1]

Hoffmann

97,535 görüntüleme • 1 yıl önce