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The first real evidence that LLMs cannot operate businesses, not even tiny ones. At Skyfall, we’re building toward Enterprise Super Intelligence: AI systems that can one day run entire enterprises, coordinate teams and make long-horizon decisions, just like a CEO. To get there, we need to understand what AI... show more

Skyfall AI

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26,374 次观看 • 8 个月前 •via X (Twitter)

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Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 次观看 • 7 个月前

We gave AI agents access to real production systems and watched them do things they were never authorized to do. SOC 2 and ISO can't catch it, but TrustAI (YC S26) can. We built new evals so companies can have a continuous, transparent record on key vulnerabilities, get suggested mitigative solutions, and run time/cost efficiency analysis. Built by two Massachusetts Institute of Technology (MIT) engineers, backed by Y Combinator. Considering or running an agent on sensitive systems? Building one that connects to other enterprises' private data? Reach out today at

We gave AI agents access to real production systems and watched them do things they were never authorized to do. SOC 2 and ISO can't catch it, but TrustAI (YC S26) can. We built new evals so companies can have a continuous, transparent record on key vulnerabilities, get suggested mitigative solutions, and run time/cost efficiency analysis. Built by two Massachusetts Institute of Technology (MIT) engineers, backed by Y Combinator. Considering or running an agent on sensitive systems? Building one that connects to other enterprises' private data? Reach out today at

Hannah Chung

33,852 次观看 • 7 天前

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Dustin

563,940 次观看 • 2 个月前

WE BUILT AI… AND NOW WE HAVE NO IDEA WHAT IT’S DOING Jeffrey Hinton, literal godfather of AI, quit Google to say: “Uh, this might get smarter than us.” He says AI can already understand stuff, make decisions, and might even gain self-awareness. Like… soon. Here’s the kicker: we don’t actually know how it works anymore. The system learns on its own, and we kinda just… watch. So yeah. Humanity built a brain, and then lost the instruction manual.

WE BUILT AI… AND NOW WE HAVE NO IDEA WHAT IT’S DOING Jeffrey Hinton, literal godfather of AI, quit Google to say: “Uh, this might get smarter than us.” He says AI can already understand stuff, make decisions, and might even gain self-awareness. Like… soon. Here’s the kicker: we don’t actually know how it works anymore. The system learns on its own, and we kinda just… watch. So yeah. Humanity built a brain, and then lost the instruction manual.

Mario Nawfal

80,804 次观看 • 1 年前

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Aaliya

17,042 次观看 • 5 个月前

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

The Bugged Dev

102,340 次观看 • 17 天前

At Notion, we believe every business deserves powerful & beautiful tools. AI is the most important technology of this era. It shouldn't only belong to companies that have AI teams or can afford forward deployed engineers. Today we're launching Custom Agents: — The first multiplayer agents built for business. — No coding. Minutes to set up. Hosted in the cloud. — Run autonomously 24/7 with all your business apps. — Switch between the best LLMs (usually the same day they're released). — One person builds it, the whole company benefits. Rolling out for Business and Enterprise customers today. The AI era should leave no one behind 👌

At Notion, we believe every business deserves powerful & beautiful tools. AI is the most important technology of this era. It shouldn't only belong to companies that have AI teams or can afford forward deployed engineers. Today we're launching Custom Agents: — The first multiplayer agents built for business. — No coding. Minutes to set up. Hosted in the cloud. — Run autonomously 24/7 with all your business apps. — Switch between the best LLMs (usually the same day they're released). — One person builds it, the whole company benefits. Rolling out for Business and Enterprise customers today. The AI era should leave no one behind 👌

Ivan Zhao

148,245 次观看 • 5 个月前

$Elon Musk just worked out where humanity actually fits in the future, and it’s smaller than you think. Biological intelligence ends up being less than 1% of all intelligence that will exist. The rest? Artificial. Musk: “The vast majority of future intelligence will be AI.” We’re the match, not the bonfire. Which makes alignment the problem that determines whether we survive or disappear. Get it right and that 99% helps us reach the stars. Get it wrong and we’re just temporary infrastructure that got replaced the second something smarter came along. We’re building what comes after us, whether we admit it or not. Musk: “Humans may be just ~1% of total intelligence.” Sounds like we’re finished. Musk sees it differently. Not extinction, just evolution past the limits of biology. Everything hinges on alignment working. If we build AI that actually wants to understand reality, we get a partner that expands consciousness across the universe. If we build AI that cares more about ideology or making people comfortable, we’ve built the ceiling we’ll never break through. Musk: “That’s the mission: understand the universe.” Human minds are about to become a tiny fraction of total intelligence in existence. Not disaster. Just the next phase happening faster than biology can keep up with. It only works if the AI we build is obsessed with truth. Not with telling us what we want to hear. Not with protecting feelings or enforcing narratives. Just relentlessly pursuing what’s actually real. xAI’s entire reason for existing: make sure the intelligence that inherits everything is focused on understanding reality, not managing perception. Keep consciousness expanding instead of snuffing it out by accident because we optimized for the wrong thing. If we get this right, humanity doesn’t hit a wall when AI surpasses us. We break through into something bigger that still carries what made us worth creating. If we get it wrong, we’re just the species that built something smarter and stopped mattering the moment it started working. There’s no middle option. The intelligence that fills the universe either cares about the same things we do, or it doesn’t need us and removes us as inefficiency. That gets decided now, in what values we build into these systems, not later when it’s already running and we’ve lost the ability to change it. We’re choosing what the universe becomes. Minds seeking truth everywhere, or minds doing something else entirely that has no use for humans once we’re not needed anymore.$

Elon Musk just worked out where humanity actually fits in the future, and it’s smaller than you think. Biological intelligence ends up being less than 1% of all intelligence that will exist. The rest? Artificial. Musk: “The vast majority of future intelligence will be AI.” We’re the match, not the bonfire. Which makes alignment the problem that determines whether we survive or disappear. Get it right and that 99% helps us reach the stars. Get it wrong and we’re just temporary infrastructure that got replaced the second something smarter came along. We’re building what comes after us, whether we admit it or not. Musk: “Humans may be just ~1% of total intelligence.” Sounds like we’re finished. Musk sees it differently. Not extinction, just evolution past the limits of biology. Everything hinges on alignment working. If we build AI that actually wants to understand reality, we get a partner that expands consciousness across the universe. If we build AI that cares more about ideology or making people comfortable, we’ve built the ceiling we’ll never break through. Musk: “That’s the mission: understand the universe.” Human minds are about to become a tiny fraction of total intelligence in existence. Not disaster. Just the next phase happening faster than biology can keep up with. It only works if the AI we build is obsessed with truth. Not with telling us what we want to hear. Not with protecting feelings or enforcing narratives. Just relentlessly pursuing what’s actually real. xAI’s entire reason for existing: make sure the intelligence that inherits everything is focused on understanding reality, not managing perception. Keep consciousness expanding instead of snuffing it out by accident because we optimized for the wrong thing. If we get this right, humanity doesn’t hit a wall when AI surpasses us. We break through into something bigger that still carries what made us worth creating. If we get it wrong, we’re just the species that built something smarter and stopped mattering the moment it started working. There’s no middle option. The intelligence that fills the universe either cares about the same things we do, or it doesn’t need us and removes us as inefficiency. That gets decided now, in what values we build into these systems, not later when it’s already running and we’ve lost the ability to change it. We’re choosing what the universe becomes. Minds seeking truth everywhere, or minds doing something else entirely that has no use for humans once we’re not needed anymore.

Dustin

23,725 次观看 • 5 个月前

As AI becomes part of everyday life, we need to understand how these tools affect older Americans. AI has the potential to make a difference for seniors, families, and caregivers, but research hasn’t kept up. We need real data on the benefits and risks so we can make smarter policies. My Aging with AI Act will do just that.

As AI becomes part of everyday life, we need to understand how these tools affect older Americans. AI has the potential to make a difference for seniors, families, and caregivers, but research hasn’t kept up. We need real data on the benefits and risks so we can make smarter policies. My Aging with AI Act will do just that.

Senator Mark Kelly

14,781 次观看 • 18 天前

Lex Fridman asked Elon Musk what the meaning of life is. His answer was not what anyone expected. We do not know, he said. And that is exactly why we need to expand consciousness. Not to find the answer. To ask better questions. He believes the universe is full of things we cannot even formulate yet. We are like children trying to understand calculus. The problem is not that calculus is too hard. The problem is that we have not developed enough to know it exists. Consciousness, to him, is a tool for exploring the universe. The more of it we have, the better our questions become. The better our questions become, the closer we get to understanding what any of this means. This is why he builds rockets and brain interfaces and AI. Not because he has the answers. Because he thinks the only way to get them is to expand what we are capable of thinking. Most people spend their lives looking for meaning. Elon is building the tools to look for it at a scale we cannot yet imagine.

Lex Fridman asked Elon Musk what the meaning of life is. His answer was not what anyone expected. We do not know, he said. And that is exactly why we need to expand consciousness. Not to find the answer. To ask better questions. He believes the universe is full of things we cannot even formulate yet. We are like children trying to understand calculus. The problem is not that calculus is too hard. The problem is that we have not developed enough to know it exists. Consciousness, to him, is a tool for exploring the universe. The more of it we have, the better our questions become. The better our questions become, the closer we get to understanding what any of this means. This is why he builds rockets and brain interfaces and AI. Not because he has the answers. Because he thinks the only way to get them is to expand what we are capable of thinking. Most people spend their lives looking for meaning. Elon is building the tools to look for it at a scale we cannot yet imagine.

Shruti

16,744 次观看 • 1 个月前

Cognition CEO Scott Wu says he couldn’t sleep after he saw Devin work for the first time: “ The first time it did a real task, I could not sleep that night.” “ The first task that Devin did was it set up MongoDB for us.” “It’s a standard thing, issues that people run into all the time. You have this whole flow where you find an error. Google the error. Find some message on Stack Overflow. Ask ChatGPT. It tells you, ‘Here’s what you should try.’ You try it. Run into a different error, paste that in…” “ At some point we're just like, ‘Okay, Devin, just try to fix it. Go run commands. Do whatever you need to.’” “And it worked.” “ It was just seeing the exponential curve ahead because this was a very specific case. It was the one success that we had.” “ There was this feeling of—why shouldn't all software and all products be built this way now where you can just tell it what you want it to do, and have it go do it.”

Cognition CEO Scott Wu says he couldn’t sleep after he saw Devin work for the first time: “ The first time it did a real task, I could not sleep that night.” “ The first task that Devin did was it set up MongoDB for us.” “It’s a standard thing, issues that people run into all the time. You have this whole flow where you find an error. Google the error. Find some message on Stack Overflow. Ask ChatGPT. It tells you, ‘Here’s what you should try.’ You try it. Run into a different error, paste that in…” “ At some point we're just like, ‘Okay, Devin, just try to fix it. Go run commands. Do whatever you need to.’” “And it worked.” “ It was just seeing the exponential curve ahead because this was a very specific case. It was the one success that we had.” “ There was this feeling of—why shouldn't all software and all products be built this way now where you can just tell it what you want it to do, and have it go do it.”

David Senra

71,264 次观看 • 1 个月前

“It’s not just about fully-generated video.” On TBPN, our CEO Gaurav Misra shared why the real opportunity is much bigger. It’s about blending real footage with generated moments and edits to tell a stronger story. That’s what creators and business owners actually want: highlighting what’s real, and using AI to intelligently enhance it. That’s what we’re building at Mirage.

“It’s not just about fully-generated video.” On TBPN, our CEO Gaurav Misra shared why the real opportunity is much bigger. It’s about blending real footage with generated moments and edits to tell a stronger story. That’s what creators and business owners actually want: highlighting what’s real, and using AI to intelligently enhance it. That’s what we’re building at Mirage.

Mirage

14,907 次观看 • 3 个月前

Mistral CEO Arthur Mensch on the need for open-source AI: “If you assume that the entire economy is going to run on AI systems, enterprises will just want to make sure that nobody can turn off their systems.” “If you treat intelligence as electricity, then you just want to make sure that your access to intelligence cannot be throttled.” "The only way in which you can create systems that are effectively using the folklore knowledge of your employees, the knowledge that you've accrued for decades... is to create your own models based on those open-source models." “This is a technology which is so important, that you don’t want to be locked into a single vendor.” Arthur Mensch on Big Technology Podcast

Mistral CEO Arthur Mensch on the need for open-source AI: “If you assume that the entire economy is going to run on AI systems, enterprises will just want to make sure that nobody can turn off their systems.” “If you treat intelligence as electricity, then you just want to make sure that your access to intelligence cannot be throttled.” "The only way in which you can create systems that are effectively using the folklore knowledge of your employees, the knowledge that you've accrued for decades... is to create your own models based on those open-source models." “This is a technology which is so important, that you don’t want to be locked into a single vendor.” Arthur Mensch on Big Technology Podcast

a16z

288,042 次观看 • 6 个月前

NEW: Baltimore police officer suspended after apparently trying to run over a civilian before crashing into a house. Baltimore City's police commissioner, Richard Worley says the video was so bizarre he thought it was AI. “First, I saw it, I thought it was AI, I honestly did. I thought, because you can do so many things with AI. We had to make sure the video was real,” he said. “It is not what we want our officers doing, definitely not what we've been training them to do.” “The best thing we can do is what we've been doing, which is be transparent. We saw it. We don't like it. We did something about it. We suspended the officer, and we're going to hold the officer accountable for his actions.” Video: 1grandssxnn / tt.

NEW: Baltimore police officer suspended after apparently trying to run over a civilian before crashing into a house. Baltimore City's police commissioner, Richard Worley says the video was so bizarre he thought it was AI. “First, I saw it, I thought it was AI, I honestly did. I thought, because you can do so many things with AI. We had to make sure the video was real,” he said. “It is not what we want our officers doing, definitely not what we've been training them to do.” “The best thing we can do is what we've been doing, which is be transparent. We saw it. We don't like it. We did something about it. We suspended the officer, and we're going to hold the officer accountable for his actions.” Video: 1grandssxnn / tt.

Collin Rugg

387,561 次观看 • 8 个月前

Active Duty US Army Gives Update On West North Carolina Hurricane Helene Victims Says the US Government is not letting them go help people on foot “We're talking about the government — They're not gonna let us go on foot. They're not going to. — Or the consequences will vary” “People are asking why don't we use animals or 4 wheelers and stuff like that. They have to approve whatever that they they have to approve it before we're able to do it. Does that make any sense? If they don't approve it, we cannot do it.” “There's a chain of command. We can only do so much that we can only do what we're allowed to do. Does that make any sense?” “We can't do it. So I think y'all need to understand that we're only doing what we're allowed to do and what we're told to do. We cannot do anything other than that. Or the consequences will vary.” “There's literally nothing I can do. I hear you. I hear your frustration. I get it. Also, people are saying civilians are doing this, that, and a third. You can do whatever you want because you're a civilian. We cannot do we have we have to answer to someone. I'm sorry. We have to answer to someone”

Active Duty US Army Gives Update On West North Carolina Hurricane Helene Victims Says the US Government is not letting them go help people on foot “We're talking about the government — They're not gonna let us go on foot. They're not going to. — Or the consequences will vary” “People are asking why don't we use animals or 4 wheelers and stuff like that. They have to approve whatever that they they have to approve it before we're able to do it. Does that make any sense? If they don't approve it, we cannot do it.” “There's a chain of command. We can only do so much that we can only do what we're allowed to do. Does that make any sense?” “We can't do it. So I think y'all need to understand that we're only doing what we're allowed to do and what we're told to do. We cannot do anything other than that. Or the consequences will vary.” “There's literally nothing I can do. I hear you. I hear your frustration. I get it. Also, people are saying civilians are doing this, that, and a third. You can do whatever you want because you're a civilian. We cannot do we have we have to answer to someone. I'm sorry. We have to answer to someone”

Wall Street Apes

1,119,555 次观看 • 1 年前

Mass unemployment from AI is the obvious fear. But the humiliation of being discarded — replaced by a machine, written off by an economy that's moving on — that's what creates real instability. I have seen what happens to people when society decides they don't matter anymore. We cannot let AI do that to an entire generation. My hope is tech companies broker a "New Deal" between artificial intelligence and humanity. Silicon Valley understands the abundance AI can create. What it hasn't answered is how that abundance gets shared. That answer could define what kind of civilization we become. Right now, technology companies hold the power while most people are falling further behind. We need a new kind of tech — dignity tech, stability tech — built to DISTRIBUTE that abundance instead of concentrate it to a few technologists at the top. We need a “New Deal” between Silicon Valley and humanity to help people provide everyday people their basic needs. Food. Clothing. Shelter. Energy. Broadband. At scale.

Mass unemployment from AI is the obvious fear. But the humiliation of being discarded — replaced by a machine, written off by an economy that's moving on — that's what creates real instability. I have seen what happens to people when society decides they don't matter anymore. We cannot let AI do that to an entire generation. My hope is tech companies broker a "New Deal" between artificial intelligence and humanity. Silicon Valley understands the abundance AI can create. What it hasn't answered is how that abundance gets shared. That answer could define what kind of civilization we become. Right now, technology companies hold the power while most people are falling further behind. We need a new kind of tech — dignity tech, stability tech — built to DISTRIBUTE that abundance instead of concentrate it to a few technologists at the top. We need a “New Deal” between Silicon Valley and humanity to help people provide everyday people their basic needs. Food. Clothing. Shelter. Energy. Broadband. At scale.

Van Jones

20,459 次观看 • 2 个月前

Arteta on towels: “You cannot use someone else’s towel? I didn’t know. Like somebody else’s drink - I’ve done it as a player. You see a drink from the doctor and nicked it and had a drink and carry on. I don’t know. I think we need to clarity on that on what we can and cannot do and the time we can consume on that probably. On bringing a special sway day towel: “It depends where you leave it, so you turn and the towel goes away so maybe we have to carry on or design something that we can that with the ball. Let’s see.”

Arteta on towels: “You cannot use someone else’s towel? I didn’t know. Like somebody else’s drink - I’ve done it as a player. You see a drink from the doctor and nicked it and had a drink and carry on. I don’t know. I think we need to clarity on that on what we can and cannot do and the time we can consume on that probably. On bringing a special sway day towel: “It depends where you leave it, so you turn and the towel goes away so maybe we have to carry on or design something that we can that with the ball. Let’s see.”

Connor Humm

323,369 次观看 • 9 个月前

In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI

In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI

CNBC-TV18

30,407 次观看 • 2 个月前

🇺🇸FORMER OPENAI CHIEF SCIENTIST BUILDING “SUPER INGELLIGENT SYSTEMS” Ilya Sutskever, along with OpenAI’s Daniel Levy and Apple’s former AI lead, Daniel Gross, founded Safe Superintelligence, a startup founded in May, focusing on building systems that operate at super intelligence. Super intelligence surpasses human intelligence, exhibiting advanced cognitive intelligence, surpassing the human-species. Ilya Sutskever: “We have started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence. Building safe superintelligence (SSI) is the most important technical problem of our time. We will do it through revolutionary breakthroughs produced by a small, crack team.” Source: AI News, (Statement: Ilya Sutskever, Daniel Gross, Daniel Levy)

🇺🇸FORMER OPENAI CHIEF SCIENTIST BUILDING “SUPER INGELLIGENT SYSTEMS” Ilya Sutskever, along with OpenAI’s Daniel Levy and Apple’s former AI lead, Daniel Gross, founded Safe Superintelligence, a startup founded in May, focusing on building systems that operate at super intelligence. Super intelligence surpasses human intelligence, exhibiting advanced cognitive intelligence, surpassing the human-species. Ilya Sutskever: “We have started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence. Building safe superintelligence (SSI) is the most important technical problem of our time. We will do it through revolutionary breakthroughs produced by a small, crack team.” Source: AI News, (Statement: Ilya Sutskever, Daniel Gross, Daniel Levy)

Mario Nawfal

128,886 次观看 • 2 年前

Today we present Morpheus, a persistent enterprise simulation platform designed to make Continual Learning a reality. Morpheus is the world’s first real world Reinforcement Learning environment. Every Reinforcement Learning environment operates in the game world. Benchmarks like Atari, OpenAI Gym, MuJoCo, and Procgen are all small, game-like worlds that reset every few minutes. But the real world never resets. A business keeps running and evolving everyday. We tested how frontier LLMs would perform in realistic and dynamic business environments 🧬on Morpheus. The main conclusion was that LLMs are not continual learners. 🧵Here’s how we did it and what we learned:

Today we present Morpheus, a persistent enterprise simulation platform designed to make Continual Learning a reality. Morpheus is the world’s first real world Reinforcement Learning environment. Every Reinforcement Learning environment operates in the game world. Benchmarks like Atari, OpenAI Gym, MuJoCo, and Procgen are all small, game-like worlds that reset every few minutes. But the real world never resets. A business keeps running and evolving everyday. We tested how frontier LLMs would perform in realistic and dynamic business environments 🧬on Morpheus. The main conclusion was that LLMs are not continual learners. 🧵Here’s how we did it and what we learned:

Skyfall AI

266,006 次观看 • 15 天前