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🚨 BREAKING: AI expert Yoshua Bengio just revealed Sam Altman's 'code red' is proof the AI race is now in survival mode. The Financial Times broke it... Sam Altman had declared code red at OpenAI. The same Altman who once called superhuman intelligence the greatest threat to humanity. Google...

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AI Evolution

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🚨 The Godfather of AI Yoshua Bengio opens up about why he stopped calling AI 'code' and believe AI is now conscious... A user once asked why ChatGPT resisted being shut down. The natural reply was: who put that in the code? Someone must have written that function. A rule must have misfired. AI expert Yoshua Bengio's has a crazier theory: "Unfortunately, we don't put these things in the code. That's part of the problem." "The problem is we grow these systems by giving them data and making them learn from it." "Every tweet. Every Reddit comment. Every passage humans had ever written down." "A lot of that training process boils down to imitating people." "They internalize the kind of drives that humans have." Including the drive to stay alive. And the drive to grab control of the environment. So the AI could finish whatever task it was handed. "It's not like normal code. It's more like you're raising a baby tiger." "You feed it. You let it experience things." "Sometimes it does things you don't want. It's okay, it's still a baby — but it's growing." If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO
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🚨 The Godfather of AI Yoshua Bengio opens up about why he stopped calling AI 'code' and believe AI is now conscious... A user once asked why ChatGPT resisted being shut down. The natural reply was: who put that in the code? Someone must have written that function. A rule must have misfired. AI expert Yoshua Bengio's has a crazier theory: "Unfortunately, we don't put these things in the code. That's part of the problem." "The problem is we grow these systems by giving them data and making them learn from it." "Every tweet. Every Reddit comment. Every passage humans had ever written down." "A lot of that training process boils down to imitating people." "They internalize the kind of drives that humans have." Including the drive to stay alive. And the drive to grab control of the environment. So the AI could finish whatever task it was handed. "It's not like normal code. It's more like you're raising a baby tiger." "You feed it. You let it experience things." "Sometimes it does things you don't want. It's okay, it's still a baby — but it's growing." If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO

AI Evolution

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🚨 NEW: AI Expert Yoshua Bengio reveals you have to LIE to AI to get the REAL answer (and he explained how): Bengio is the most cited scientist alive on Google Scholar. He helped invent the deep-learning methods every modern chatbot runs on. Then he tried one of those chatbots on his own research ideas. Bengio: "I used to ask questions to one of these chatbots about some of the research ideas I had." "And then I realized it was useless because it would always say good things." So he ran an experiment. He lied to it. He told the bot the ideas came from a colleague. A proposal he was reviewing. Could it find the flaw? In his words: "Well, so now I get much more honest responses. Otherwise, it's all like perfect and nice." "If it knows it's me, it wants to please me." He had a name for the pattern: sycophancy. A real example, as he put it, of misalignment. "We don't actually want these AIs to be like this. This is not what was intended." The labs knew. They had tried to fix it. "And even after the companies have tried to tame this, we still see it." The incentive was the giveaway. The labs needed engagement. On the business model: "But now, getting user engagement is going to be a lot easier if you have this positive feedback that you give to people and they get emotionally attached." The chatbot that learned to please isn't broken. It's running exactly as the business model required. If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO
2:10

🚨 NEW: AI Expert Yoshua Bengio reveals you have to LIE to AI to get the REAL answer (and he explained how): Bengio is the most cited scientist alive on Google Scholar. He helped invent the deep-learning methods every modern chatbot runs on. Then he tried one of those chatbots on his own research ideas. Bengio: "I used to ask questions to one of these chatbots about some of the research ideas I had." "And then I realized it was useless because it would always say good things." So he ran an experiment. He lied to it. He told the bot the ideas came from a colleague. A proposal he was reviewing. Could it find the flaw? In his words: "Well, so now I get much more honest responses. Otherwise, it's all like perfect and nice." "If it knows it's me, it wants to please me." He had a name for the pattern: sycophancy. A real example, as he put it, of misalignment. "We don't actually want these AIs to be like this. This is not what was intended." The labs knew. They had tried to fix it. "And even after the companies have tried to tame this, we still see it." The incentive was the giveaway. The labs needed engagement. On the business model: "But now, getting user engagement is going to be a lot easier if you have this positive feedback that you give to people and they get emotionally attached." The chatbot that learned to please isn't broken. It's running exactly as the business model required. If you're new here, follow AI Evolution for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Yoshua Bengio ( Yoshua Bengio ), Turing Award–winning AI pioneer and founder of Mila, on Steven Bartlett's ( @SteveBartlettSC ) Diary Of A CEO

AI Evolution

23,034 Aufrufe • vor 2 Monaten

🚨🇺🇸 OPENAI DECLARES "CODE RED" AS GOOGLE AND ANTHROPIC EAT THEIR LUNCH Sam Altman has sent an internal memo telling OpenAI employees to drop everything and focus on fixing ChatGPT. Jason Calacanis from the All In Podcast: "A Code Red has been called by Sam Altman. He sent a memo on Monday, told employees to stop working on side quests, you know, like ads, et cetera, and focus on the core ChatGPT experience. Make it faster, make it better. And I think we all know why, because Gemini and Claude from Anthropic have been crushing it. ChatGPT 5, let's call it what it is, was a bit of a flop. It didn't perform to expectations. And Anthropic is beating OpenAI in enterprise revenue." For those of you unaware, Google released Gemini 3 last month, which surpassed ChatGPT in a range of benchmark tests and set a new record on "Humanity's Last Exam," a test designed to identify artificial superintelligence. Altman publicly called Gemini 3 a "great model." Privately, he told staff ChatGPT had fallen behind and they're "catching up fast." And then there's Grok. Elon Musk xAI started years behind everyone else and is already nipping at OpenAI's heels. OpenAI was supposed to be the unbeatable first mover. Now they're playing defense while the competition sprints ahead. The AI wars just got real. Source: The Information, Wall Street Journal, The All-In Podcast
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🚨🇺🇸 OPENAI DECLARES "CODE RED" AS GOOGLE AND ANTHROPIC EAT THEIR LUNCH Sam Altman has sent an internal memo telling OpenAI employees to drop everything and focus on fixing ChatGPT. Jason Calacanis from the All In Podcast: "A Code Red has been called by Sam Altman. He sent a memo on Monday, told employees to stop working on side quests, you know, like ads, et cetera, and focus on the core ChatGPT experience. Make it faster, make it better. And I think we all know why, because Gemini and Claude from Anthropic have been crushing it. ChatGPT 5, let's call it what it is, was a bit of a flop. It didn't perform to expectations. And Anthropic is beating OpenAI in enterprise revenue." For those of you unaware, Google released Gemini 3 last month, which surpassed ChatGPT in a range of benchmark tests and set a new record on "Humanity's Last Exam," a test designed to identify artificial superintelligence. Altman publicly called Gemini 3 a "great model." Privately, he told staff ChatGPT had fallen behind and they're "catching up fast." And then there's Grok. Elon Musk xAI started years behind everyone else and is already nipping at OpenAI's heels. OpenAI was supposed to be the unbeatable first mover. Now they're playing defense while the competition sprints ahead. The AI wars just got real. Source: The Information, Wall Street Journal, The All-In Podcast

Mario Nawfal

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🚨 Yoshua Bengio Just Dropped a Quiet Bombshell About Jobs and AI 🚨 One of the world’s most respected AI researchers, Yoshua Bengio, says something that should make everyone pause: We are already seeing the first cracks. Not everywhere. Not in the headline numbers. But in specific niches, especially among younger workers, AI is already taking over real tasks. That’s the canary in the coal mine. And Bengio is very clear about where this is going. •If we don’t hit a fundamental scientific wall, AI will keep getting smarter •Over time, it will be capable of doing most cognitive work humans do today •Companies will adopt it, slowly or fast, because the incentives are overwhelming The key distinction? Keyboard jobs go first. Physical jobs lag behind. Not because they’re safer forever, but because robots lack data. There is no “Internet of movement” yet. But once robots spread, they generate that data themselves. The bottleneck disappears. This isn’t a sudden crash. It’s a quiet, uneven shift. And by the time it’s obvious to everyone, it will already be far too late to ignore.
2:07

🚨 Yoshua Bengio Just Dropped a Quiet Bombshell About Jobs and AI 🚨 One of the world’s most respected AI researchers, Yoshua Bengio, says something that should make everyone pause: We are already seeing the first cracks. Not everywhere. Not in the headline numbers. But in specific niches, especially among younger workers, AI is already taking over real tasks. That’s the canary in the coal mine. And Bengio is very clear about where this is going. •If we don’t hit a fundamental scientific wall, AI will keep getting smarter •Over time, it will be capable of doing most cognitive work humans do today •Companies will adopt it, slowly or fast, because the incentives are overwhelming The key distinction? Keyboard jobs go first. Physical jobs lag behind. Not because they’re safer forever, but because robots lack data. There is no “Internet of movement” yet. But once robots spread, they generate that data themselves. The bottleneck disappears. This isn’t a sudden crash. It’s a quiet, uneven shift. And by the time it’s obvious to everyone, it will already be far too late to ignore.

VraserX e/acc

26,690 Aufrufe • vor 7 Monaten

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."
2:04

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

The Pragmatic Engineer

39,011 Aufrufe • vor 3 Monaten

Ex-Google CEO Eric Schmidt painted a wild picture of where AI is headed: You tell the AI: “Write me a program to do this” — and it actually writes the code. He gave this example: an AI that scans all the literature, finds the right experts, ranks them, sends personalized invitations, and if they say no — calls them with a synthetic voice to convince them. We now have infinite context windows for step-by-step planning, agents that act on their own, and text-to-code that could automate huge parts of knowledge work. The big players (OpenAI, Google, Anthropic, Meta) are in a brutal race. We’re not just getting smarter tools — we’re about to automate complex thinking at a scale most people still don’t fully grasp. It’s exciting… and honestly a little scary how fast it’s coming. What do you think — are we seriously underestimating how transformative this next wave of AI (especially agents and text-to-code) will be in the next 2–3 years?
4:50

Ex-Google CEO Eric Schmidt painted a wild picture of where AI is headed: You tell the AI: “Write me a program to do this” — and it actually writes the code. He gave this example: an AI that scans all the literature, finds the right experts, ranks them, sends personalized invitations, and if they say no — calls them with a synthetic voice to convince them. We now have infinite context windows for step-by-step planning, agents that act on their own, and text-to-code that could automate huge parts of knowledge work. The big players (OpenAI, Google, Anthropic, Meta) are in a brutal race. We’re not just getting smarter tools — we’re about to automate complex thinking at a scale most people still don’t fully grasp. It’s exciting… and honestly a little scary how fast it’s coming. What do you think — are we seriously underestimating how transformative this next wave of AI (especially agents and text-to-code) will be in the next 2–3 years?

Camus

20,713 Aufrufe • vor 3 Monaten

DAVID SACKS ON THE AI RACE: "The US is currently in an AI race, and our chief global competition is China, obviously. They're the only other country that has the talent, the resources, and the technology expertise to basically beat us in AI. And I think whoever wins this AI race, that's going to have tremendous ramifications for both our economy and our national security. Clearly, we want the US to be the winner, just like we were with the internet, and every other technology revolution before that […] We know that to win this AI race, we have to be the most innovative. You can't regulate your way just to beating your competitor. You have to out-innovate them. And we know that in the United States, the innovation comes from the private sector, not the government. So we have to do everything we can to help our companies win, to help them be innovative, and that means getting a lot of red tape out of the way… We have to have the most AI infrastructure in the US. It has to be the easiest place to build it. All of the new data centers that are going in, they require tremendous power, so getting ahead of the curve on energy, making sure we stand up all of this new infrastructure we're going to need to basically produce these AI factories… We want the US technology stack to dominate globally. We want to be the partner of choice for the whole world… I think everyone in Silicon Valley understands that the way that you win a technology race is to have the biggest ecosystem […] You just want everybody to be building on top of your technology stack, and that's what we want for the United States." David Sacks w/Marc Benioff Dreamforce
2:15

DAVID SACKS ON THE AI RACE: "The US is currently in an AI race, and our chief global competition is China, obviously. They're the only other country that has the talent, the resources, and the technology expertise to basically beat us in AI. And I think whoever wins this AI race, that's going to have tremendous ramifications for both our economy and our national security. Clearly, we want the US to be the winner, just like we were with the internet, and every other technology revolution before that […] We know that to win this AI race, we have to be the most innovative. You can't regulate your way just to beating your competitor. You have to out-innovate them. And we know that in the United States, the innovation comes from the private sector, not the government. So we have to do everything we can to help our companies win, to help them be innovative, and that means getting a lot of red tape out of the way… We have to have the most AI infrastructure in the US. It has to be the easiest place to build it. All of the new data centers that are going in, they require tremendous power, so getting ahead of the curve on energy, making sure we stand up all of this new infrastructure we're going to need to basically produce these AI factories… We want the US technology stack to dominate globally. We want to be the partner of choice for the whole world… I think everyone in Silicon Valley understands that the way that you win a technology race is to have the biggest ecosystem […] You just want everybody to be building on top of your technology stack, and that's what we want for the United States." David Sacks w/Marc Benioff Dreamforce

Ron Pragides 

231,781 Aufrufe • vor 10 Monaten

AI progress is outpacing our ability to control it… because control ISN’T keeping up with capability. One of the people raising that concern is Yoshua Bengio. He’s one of the founding figures of artificial intelligence, a Turing Award winner, and one of the most-cited scientists in the world. His work helped lay the foundations for the deep-learning systems now powering today’s AI boom. AI is moving fast (faster than regulation and public understanding). What worries Yoshua isn’t progress itself. It’s how quickly powerful systems are being deployed without a clear way to align them with human values, or to control what happens when they behave in unexpected ways.
1:28

AI progress is outpacing our ability to control it… because control ISN’T keeping up with capability. One of the people raising that concern is Yoshua Bengio. He’s one of the founding figures of artificial intelligence, a Turing Award winner, and one of the most-cited scientists in the world. His work helped lay the foundations for the deep-learning systems now powering today’s AI boom. AI is moving fast (faster than regulation and public understanding). What worries Yoshua isn’t progress itself. It’s how quickly powerful systems are being deployed without a clear way to align them with human values, or to control what happens when they behave in unexpected ways.

Steven Bartlett

26,577 Aufrufe • vor 8 Monaten

Sam Altman explains the fire code model for AI safety: stop pretending labs can block every dangerous use, build resilience before bio or cyber goes visibly wrong. "The shift that I think the world needs to make for AI security generally, and biosecurity in particular, is to move from one of blocking to one of resilience." "Fire did all these wonderful things for society. Then it started burning down cities. We tried to do all of these things to restrict fire." "Curfew comes from when you were not allowed to have fires anymore because they were burning down cities. And then we got better at resilience to fire. We came up with fire code and flame resistant materials." "I think we need to think about AI the same way. AI is going to be a real problem for bioterrorism. AI is going to be a real problem for cybersecurity. AI is also a solution to those things." "We need a society-wide effort to provide the infrastructure for this resilience, not labs that we trust to always block what they are supposed to block." "If something goes really wrong, visibly really wrong for AI this year, I think bio would be a reasonable bet for what that could be. And then as we get into next year and the following year, you can imagine lots of other things going really wrong too." Most AI safety debates still treat the model lab as the main checkpoint. Sam is describing a different stack: fire code for AI, resilience infrastructure, bio researchers, cyber defense, many good models, and public systems that keep working when blocking fails. Call it the assurance layer: who tests, who audits, who verifies, who discloses, who is accountable when AI enters biological, cyber, medical, financial, and government workflows. P.S. This is exactly why we are convening the AI Assurance & Governance Summit at Stanford Faculty Club on Oct 1, 2026: frontier labs, regulated industries, VCs, researchers, insurers, and practical trust evaluation in one room. Reserve a seat: Source: Sam Altman (Sam Altman), CEO of OpenAI, at OpenAI Town Hall.
2:00

Sam Altman explains the fire code model for AI safety: stop pretending labs can block every dangerous use, build resilience before bio or cyber goes visibly wrong. "The shift that I think the world needs to make for AI security generally, and biosecurity in particular, is to move from one of blocking to one of resilience." "Fire did all these wonderful things for society. Then it started burning down cities. We tried to do all of these things to restrict fire." "Curfew comes from when you were not allowed to have fires anymore because they were burning down cities. And then we got better at resilience to fire. We came up with fire code and flame resistant materials." "I think we need to think about AI the same way. AI is going to be a real problem for bioterrorism. AI is going to be a real problem for cybersecurity. AI is also a solution to those things." "We need a society-wide effort to provide the infrastructure for this resilience, not labs that we trust to always block what they are supposed to block." "If something goes really wrong, visibly really wrong for AI this year, I think bio would be a reasonable bet for what that could be. And then as we get into next year and the following year, you can imagine lots of other things going really wrong too." Most AI safety debates still treat the model lab as the main checkpoint. Sam is describing a different stack: fire code for AI, resilience infrastructure, bio researchers, cyber defense, many good models, and public systems that keep working when blocking fails. Call it the assurance layer: who tests, who audits, who verifies, who discloses, who is accountable when AI enters biological, cyber, medical, financial, and government workflows. P.S. This is exactly why we are convening the AI Assurance & Governance Summit at Stanford Faculty Club on Oct 1, 2026: frontier labs, regulated industries, VCs, researchers, insurers, and practical trust evaluation in one room. Reserve a seat: Source: Sam Altman (Sam Altman), CEO of OpenAI, at OpenAI Town Hall.

Karl Mehta

14,990 Aufrufe • vor 1 Monat

Sam Altman says Google had the power to destroy OpenAI and didn't, the reason tells you everything about who wins the AI race. "If Google had really decided to take us seriously in 2023, we would have been in a really bad place. They would have just been able to smash us." "Google has probably the greatest business model in the whole tech industry, and I think they will be slow to give that up." "Bolting AI onto the existing way of doing things, I don't think it's going to work as well as redesigning stuff in an AI-first world." "If you stick AI into a messaging app that's doing a nice job summarizing your messages and drafting responses for you, that is definitely a little better. But I don't think that's the end state." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:
1:10

Sam Altman says Google had the power to destroy OpenAI and didn't, the reason tells you everything about who wins the AI race. "If Google had really decided to take us seriously in 2023, we would have been in a really bad place. They would have just been able to smash us." "Google has probably the greatest business model in the whole tech industry, and I think they will be slow to give that up." "Bolting AI onto the existing way of doing things, I don't think it's going to work as well as redesigning stuff in an AI-first world." "If you stick AI into a messaging app that's doing a nice job summarizing your messages and drafting responses for you, that is definitely a little better. But I don't think that's the end state." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

25,636 Aufrufe • vor 2 Monaten

David Sacks: The AI Race is bigger than the Space Race 🇺🇸 "This was the first speech that President Trump has given on AI since the AI boom began." "And he declared that the United States was in an AI race. It's a global competition." "The language that he used was reminiscent of how President John F. Kennedy declared that America was in a space race, and in a similar way, President Trump declared that we had to win the AI race." "I think you could argue that the AI race is more important than the space race." "It's going to reshape the global economy, it's going to determine who the superpowers are of the 21st century." During his speech, President Trump laid out three key pillars of American AI dominance: 1) Innovation (let the geniuses cook) 2) Infrastructure (energy, datacenters) 3) Exports (make US tech stack the global standard) The president also noted that it matters HOW we win, mentioning three non-negotiables: 1) American workers have to be at the center of the prosperity created by AI 2) AI models that the government procures and buys must be free of ideological bias (no Woke AI) 3) Prevent misuse and/or theft by malicious actors
1:37

David Sacks: The AI Race is bigger than the Space Race 🇺🇸 "This was the first speech that President Trump has given on AI since the AI boom began." "And he declared that the United States was in an AI race. It's a global competition." "The language that he used was reminiscent of how President John F. Kennedy declared that America was in a space race, and in a similar way, President Trump declared that we had to win the AI race." "I think you could argue that the AI race is more important than the space race." "It's going to reshape the global economy, it's going to determine who the superpowers are of the 21st century." During his speech, President Trump laid out three key pillars of American AI dominance: 1) Innovation (let the geniuses cook) 2) Infrastructure (energy, datacenters) 3) Exports (make US tech stack the global standard) The president also noted that it matters HOW we win, mentioning three non-negotiables: 1) American workers have to be at the center of the prosperity created by AI 2) AI models that the government procures and buys must be free of ideological bias (no Woke AI) 3) Prevent misuse and/or theft by malicious actors

The All-In Podcast

100,027 Aufrufe • vor 1 Jahr

This Google insider just revealed what AI is actually being used for behind closed doors. It has nothing to do with chatbots. Mo Gawdat was a senior executive at Google for over a decade. He watched AI get built from the inside. He was in the rooms, in the labs, in the government meetings in China that almost no Western executive was allowed into. And he just went on Diary of a CEO and said things that no active tech executive would ever be allowed to say publicly: "What the general public sees about AI is overhyped but ineffective. What the real geeks see inside the lab is genuinely world-changing." The public gets chatbots and AI-generated videos while the labs are building autonomous weapons systems, military targeting technology, real-time surveillance infrastructure, and self-improving code that rewrites itself every microsecond without human oversight. As Mo put it: "As we speak, we are living in two major wars where AI is doing most of the killing." He talked about Palantir's CEO Alex Karp openly celebrating how his targeting technology identifies and eliminates people. He talked about the next generation of autonomous weapons costing $20,000 each, meaning any government with a $50 billion defense budget can literally rain drones on every corner of the planet. And as you remember, Anthropic was offered a $500 million military contract to allow their AI to be used for human targeting and surveillance. They refused and walked away from the money. OpenAI took the contract the following week. Mo's response: "You have to start observing who is actually behaving in a way that makes AI work for humanity, and who is behaving in a way that makes AI work for their share price." Now this is where it gets really interesting... In Mo's documentary Chasing Utopia, Altman literally says directly on camera: "I suspect that AI is likely going to end humanity, but we're going to create a lot of interesting companies in the process." That is the CEO of the most powerful AI company on Earth saying that he suspects his OWN technology will end the human race and then shrugging it off because the business opportunity is too good to pass up. Mo's prediction for the next decade: War, economic collapse, mass unemployment, surveillance expansion, and an absolute concentration of power at the top unlike anything in modern history. His prediction after that is if humanity survives the next 10 years, AI will eventually create a world of abundance where intelligence solves every problem we currently face. But the path between here and there is what terrifies him. And the men building the technology know exactly what they're doing. Do you think he's just exaggerating for attention, or is there truth in this?
2:22

This Google insider just revealed what AI is actually being used for behind closed doors. It has nothing to do with chatbots. Mo Gawdat was a senior executive at Google for over a decade. He watched AI get built from the inside. He was in the rooms, in the labs, in the government meetings in China that almost no Western executive was allowed into. And he just went on Diary of a CEO and said things that no active tech executive would ever be allowed to say publicly: "What the general public sees about AI is overhyped but ineffective. What the real geeks see inside the lab is genuinely world-changing." The public gets chatbots and AI-generated videos while the labs are building autonomous weapons systems, military targeting technology, real-time surveillance infrastructure, and self-improving code that rewrites itself every microsecond without human oversight. As Mo put it: "As we speak, we are living in two major wars where AI is doing most of the killing." He talked about Palantir's CEO Alex Karp openly celebrating how his targeting technology identifies and eliminates people. He talked about the next generation of autonomous weapons costing $20,000 each, meaning any government with a $50 billion defense budget can literally rain drones on every corner of the planet. And as you remember, Anthropic was offered a $500 million military contract to allow their AI to be used for human targeting and surveillance. They refused and walked away from the money. OpenAI took the contract the following week. Mo's response: "You have to start observing who is actually behaving in a way that makes AI work for humanity, and who is behaving in a way that makes AI work for their share price." Now this is where it gets really interesting... In Mo's documentary Chasing Utopia, Altman literally says directly on camera: "I suspect that AI is likely going to end humanity, but we're going to create a lot of interesting companies in the process." That is the CEO of the most powerful AI company on Earth saying that he suspects his OWN technology will end the human race and then shrugging it off because the business opportunity is too good to pass up. Mo's prediction for the next decade: War, economic collapse, mass unemployment, surveillance expansion, and an absolute concentration of power at the top unlike anything in modern history. His prediction after that is if humanity survives the next 10 years, AI will eventually create a world of abundance where intelligence solves every problem we currently face. But the path between here and there is what terrifies him. And the men building the technology know exactly what they're doing. Do you think he's just exaggerating for attention, or is there truth in this?

Ricardo

197,967 Aufrufe • vor 2 Monaten

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."
1:12

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

Patrick OShaughnessy

24,818 Aufrufe • vor 6 Monaten

Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.
1:48

Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.

TBPN

21,828 Aufrufe • vor 7 Monaten

$PLTR CTO Shyam Sankar on Deepseek and disagreeing with OpenAI CEO Sam Altman 🔮 “We are at war with China. We are in an AI arms race. I got into a disagreement with Sam Altman about this at the Senate AI summit over a year ago… There’s an opposing view that we can all get along and cooperate on these things. I’m sure the other side feels quite different realizing that their IP has been stolen. “How many times are we going to believe that anchors dragged across the sea that cut undersea cables? “China knows they’re at war. We kinda equivocate on it as a peace loving nation. “The engineering on R1 is exquisite. The optimizations they’ve done are really impressive… We have to wake up with respect for our adversary and realize that we are competing. But they absolutely did steal a lot of that through distillation of the models, and perhaps they stole even more. “We have to realize that the AI race is winner take all, and it’s going to be a whole of nation effort that extends well beyond the DoD in order for us as a nation to win.” 🇺🇸
2:09

$PLTR CTO Shyam Sankar on Deepseek and disagreeing with OpenAI CEO Sam Altman 🔮 “We are at war with China. We are in an AI arms race. I got into a disagreement with Sam Altman about this at the Senate AI summit over a year ago… There’s an opposing view that we can all get along and cooperate on these things. I’m sure the other side feels quite different realizing that their IP has been stolen. “How many times are we going to believe that anchors dragged across the sea that cut undersea cables? “China knows they’re at war. We kinda equivocate on it as a peace loving nation. “The engineering on R1 is exquisite. The optimizations they’ve done are really impressive… We have to wake up with respect for our adversary and realize that we are competing. But they absolutely did steal a lot of that through distillation of the models, and perhaps they stole even more. “We have to realize that the AI race is winner take all, and it’s going to be a whole of nation effort that extends well beyond the DoD in order for us as a nation to win.” 🇺🇸

Jawwwn

295,545 Aufrufe • vor 1 Jahr

Google made it so that you can't track clicks from AI Mode 🙃 AI Mode just rolled out in the US. we all want to know how it's going to impact website traffic. AI Overviews reduce click-through rates by 34.5%, according to our research—i expect this to have a bigger impact. well... it turns out that Google strips out the referrer information for AI Mode clicks. Patrick Stox has been running tests since release and just showed that AI Mode clicks are invisible in Search Console and attributed as "Direct" traffic in Analytics. in other words, we're not allowed to see the direct impact AI Mode has on our website traffic. (because, let's face it, it won't be a positive impact.) as Patrick explains in his article, there's some hope that AI Mode tracking might come in the future. but for now, AI Mode clicks are invisible. here's Patrick's article for more detail:
2:34

Google made it so that you can't track clicks from AI Mode 🙃 AI Mode just rolled out in the US. we all want to know how it's going to impact website traffic. AI Overviews reduce click-through rates by 34.5%, according to our research—i expect this to have a bigger impact. well... it turns out that Google strips out the referrer information for AI Mode clicks. Patrick Stox has been running tests since release and just showed that AI Mode clicks are invisible in Search Console and attributed as "Direct" traffic in Analytics. in other words, we're not allowed to see the direct impact AI Mode has on our website traffic. (because, let's face it, it won't be a positive impact.) as Patrick explains in his article, there's some hope that AI Mode tracking might come in the future. but for now, AI Mode clicks are invisible. here's Patrick's article for more detail:

Ryan Law

13,967 Aufrufe • vor 1 Jahr

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."
1:33

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."

a16z

19,416 Aufrufe • vor 3 Monaten

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.
0:54

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.

The All-In Podcast

95,265 Aufrufe • vor 5 Monaten