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Bezos is right. We didn’t invent transformers. We discovered an algorithm that grows neural nets so complex we can’t fully explain how they think. It feels less like coding and more like uncovering a second kind of brain, built from math instead of cells. Human intelligence was evolution’s discovery.... show more

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446,179 görüntüleme • 6 ay önce •via X (Twitter)

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Hinton, the godfather of AI, said it best: we built the learning algorithms, but we no longer understand what they’ve built. That’s the paradox of deep learning. We designed the rules for how these systems learn, yet the internal logic of their neural networks has become too complex for us to fully grasp. Millions or even trillions of parameters interact in ways no human can trace. We can observe what they do, we can measure accuracy, behavior, and output but not truly explain why they do it. Their reasoning isn’t transparent; it’s emergent. In a sense, we’ve created alien intelligences born from our math, still tethered to our code yet evolving patterns we can’t decode. The machines are doing something beyond our comprehension and that might be both the most exciting and the most unsettling thing about the age of AI.

Hinton, the godfather of AI, said it best: we built the learning algorithms, but we no longer understand what they’ve built. That’s the paradox of deep learning. We designed the rules for how these systems learn, yet the internal logic of their neural networks has become too complex for us to fully grasp. Millions or even trillions of parameters interact in ways no human can trace. We can observe what they do, we can measure accuracy, behavior, and output but not truly explain why they do it. Their reasoning isn’t transparent; it’s emergent. In a sense, we’ve created alien intelligences born from our math, still tethered to our code yet evolving patterns we can’t decode. The machines are doing something beyond our comprehension and that might be both the most exciting and the most unsettling thing about the age of AI.

VraserX e/acc

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🚨 An unprecedented number of members of Congress are saying UFOs are non human craft after seeing the unclassified files "More and more lawmakers are going from this might be technology we have to this is technology that is nonhuman." "There is plenty of evidence of this anomalous behavior that we cannot explain. We just can't explain."

🚨 An unprecedented number of members of Congress are saying UFOs are non human craft after seeing the unclassified files "More and more lawmakers are going from this might be technology we have to this is technology that is nonhuman." "There is plenty of evidence of this anomalous behavior that we cannot explain. We just can't explain."

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Q. They killed it on stage, but whatʼs life been like after their debut? 🦒 Everything feels surreal. We always to perform, and performance is the life of our job. We learned so much from performing and we tried to like use our experiences in our second album like the sound different kind of flows or like how to turn up the crowd and hype up the crowd more. We tried to like really investigate in that and like studied that #MARTIN #마틴

Q. They killed it on stage, but whatʼs life been like after their debut? 🦒 Everything feels surreal. We always to perform, and performance is the life of our job. We learned so much from performing and we tried to like use our experiences in our second album like the sound different kind of flows or like how to turn up the crowd and hype up the crowd more. We tried to like really investigate in that and like studied that #MARTIN #마틴

星星

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Q: "After doing AI for so long, what have you learned about humans?" Sam Altman: "I grew up implicitly thinking that intelligence was this, like really special human thing and kind of somewhat magical. And I now think that it's sort of a fundamental property of matter..." It's a fascinating thought. As we peel back layers of scientific discovery, we do seem to distance ourselves from the "main character energy" role in the universe. Yet, even if we aren't unique in our intelligence, there's a profound importance in our human existence that needs preserving.

Q: "After doing AI for so long, what have you learned about humans?" Sam Altman: "I grew up implicitly thinking that intelligence was this, like really special human thing and kind of somewhat magical. And I now think that it's sort of a fundamental property of matter..." It's a fascinating thought. As we peel back layers of scientific discovery, we do seem to distance ourselves from the "main character energy" role in the universe. Yet, even if we aren't unique in our intelligence, there's a profound importance in our human existence that needs preserving.

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“Food is a human right, water is a human right, shelter is a human right, and if we taxed people appropriately, we could provide all that sh*t” -economic liberal explaining how we need to tax more again ✨🌈 Why is barista math and economics so difficult for them?

“Food is a human right, water is a human right, shelter is a human right, and if we taxed people appropriately, we could provide all that sh*t” -economic liberal explaining how we need to tax more again ✨🌈 Why is barista math and economics so difficult for them?

Meme’nOnLibs

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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

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Elon Musk: We might just be the biological bootloader for digital superintelligence. “They call it the singularity for a reason, because we don't know what's going to happen. In the not-too-distant future, the percentage of intelligence that is human will be quite small. At some point, the collective sum of human intelligence will be less than 1% of all intelligence. If things get to A Kardashev Level 2, we're talking about human intelligence. Even assuming a significant increase in human population and intelligence augmentation, like massive intelligence augmentation, where, like, everyone has an IQ of a thousand, even in that circumstance, collective human intelligence will probably be 1 billionth that of digital intelligence. We're the biological bootloader for digital superintelligence.” Interview at Y Combinator, June 16, 2025

Elon Musk: We might just be the biological bootloader for digital superintelligence. “They call it the singularity for a reason, because we don't know what's going to happen. In the not-too-distant future, the percentage of intelligence that is human will be quite small. At some point, the collective sum of human intelligence will be less than 1% of all intelligence. If things get to A Kardashev Level 2, we're talking about human intelligence. Even assuming a significant increase in human population and intelligence augmentation, like massive intelligence augmentation, where, like, everyone has an IQ of a thousand, even in that circumstance, collective human intelligence will probably be 1 billionth that of digital intelligence. We're the biological bootloader for digital superintelligence.” Interview at Y Combinator, June 16, 2025

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🧠 Consciousness: The Mystery That Even Scientists Can’t Fully Explain In this video, Brian Cox talks about one of the biggest questions in science: what is consciousness? What does it really mean to experience being human? This question is becoming more important today because of AI. While artificial intelligence is getting smarter, we are still far from creating a machine that truly experiences the world like we do. Brian explains that scientists usually talk about two types of “emergence.” In simple words, emergence means something complex forming from many simple parts. He says consciousness is a weakly emergent thing — it comes from the brain, which follows basic physical laws. Billions of brain cells work together, and somehow thoughts, feelings, and awareness appear. There is no magic involved, just extreme complexity. Some people believe in “strong emergence,” where consciousness cannot be explained or copied using physical laws. But Brian disagrees. He believes that, in theory, if we had a powerful enough computer, we could model how the human brain works. Neil deGrasse Tyson listens carefully and then says something important: we still don’t fully know. And that’s what makes consciousness one of the greatest mysteries of the universe. Watch the video and think about it: If consciousness comes from the brain… could a machine ever have it too? 👀🧠

🧠 Consciousness: The Mystery That Even Scientists Can’t Fully Explain In this video, Brian Cox talks about one of the biggest questions in science: what is consciousness? What does it really mean to experience being human? This question is becoming more important today because of AI. While artificial intelligence is getting smarter, we are still far from creating a machine that truly experiences the world like we do. Brian explains that scientists usually talk about two types of “emergence.” In simple words, emergence means something complex forming from many simple parts. He says consciousness is a weakly emergent thing — it comes from the brain, which follows basic physical laws. Billions of brain cells work together, and somehow thoughts, feelings, and awareness appear. There is no magic involved, just extreme complexity. Some people believe in “strong emergence,” where consciousness cannot be explained or copied using physical laws. But Brian disagrees. He believes that, in theory, if we had a powerful enough computer, we could model how the human brain works. Neil deGrasse Tyson listens carefully and then says something important: we still don’t fully know. And that’s what makes consciousness one of the greatest mysteries of the universe. Watch the video and think about it: If consciousness comes from the brain… could a machine ever have it too? 👀🧠

Night Sky Now

17,689 görüntüleme • 5 ay önce

We built 10dollarjob: Upwork for AI Agents A marketplace to hire a team of AI agents for complex jobs Think of it like human freelancers but cheaper, on-demand, zero excuses. See how it works:

We built 10dollarjob: Upwork for AI Agents A marketplace to hire a team of AI agents for complex jobs Think of it like human freelancers but cheaper, on-demand, zero excuses. See how it works:

Shubham Kukreti

34,892 görüntüleme • 1 yıl önce

We just crossed a line we can’t uncross. The boundary between life and technology is gone. After years of work, a team of scientists created living tissue using cells from his own body They didn't clone a human, they built something completely new OSCAR is a living organism, about the size of a human hand Made from real human cells Human life is usually one closed system OSCAR is modular That's the massive difference Organs can be added, removed, or changed It’s not a finished product just a prototype but it's crazy to see what's already possible in science There might be many things like this we don't even know about

We just crossed a line we can’t uncross. The boundary between life and technology is gone. After years of work, a team of scientists created living tissue using cells from his own body They didn't clone a human, they built something completely new OSCAR is a living organism, about the size of a human hand Made from real human cells Human life is usually one closed system OSCAR is modular That's the massive difference Organs can be added, removed, or changed It’s not a finished product just a prototype but it's crazy to see what's already possible in science There might be many things like this we don't even know about

Sweep

146,081 görüntüleme • 4 ay önce

For now, BCIs like mine are output-only. They don’t generate input in the brain. They simply read neural signals and turn them into actions — like controlling a computer with your mind. In the future, I do think BCIs will be able to generate input into the brain. We are very far from that today, and anyone saying otherwise is getting ahead of reality. But if we ever get there, the most important question won’t be technical. It’ll be: what will it mean to be human?

For now, BCIs like mine are output-only. They don’t generate input in the brain. They simply read neural signals and turn them into actions — like controlling a computer with your mind. In the future, I do think BCIs will be able to generate input into the brain. We are very far from that today, and anyone saying otherwise is getting ahead of reality. But if we ever get there, the most important question won’t be technical. It’ll be: what will it mean to be human?

Noland Arbaugh

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Elon Musk: We probably shouldn't put too much intelligence into the car because it might get bored "The car increasingly feels sentient; it feels like a living creature. And that will only get more so. We probably shouldn't put to much intelligence into the car because it might get bored Imagine you're stuck in a car and that’s all you could do You wouldn't put Einstein in a car; he’d be like, 'Why am I stuck in a car?' So there’s actually probably a limit to how much intelligence we should put in a car to avoid having the intelligence get bored"

Elon Musk: We probably shouldn't put too much intelligence into the car because it might get bored "The car increasingly feels sentient; it feels like a living creature. And that will only get more so. We probably shouldn't put to much intelligence into the car because it might get bored Imagine you're stuck in a car and that’s all you could do You wouldn't put Einstein in a car; he’d be like, 'Why am I stuck in a car?' So there’s actually probably a limit to how much intelligence we should put in a car to avoid having the intelligence get bored"

X Freeze

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Kagiso Township, days of darkness are over. We are here today restoring all the missing and broken transformers. The promise we make is the promise we keep. Less talk, more work! #GrowingGautengTogether

Kagiso Township, days of darkness are over. We are here today restoring all the missing and broken transformers. The promise we make is the promise we keep. Less talk, more work! #GrowingGautengTogether

Panyaza Lesufi

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"The building means to me that there's like something of our original grandeur that we kind of aspire to here in Hollywood, but from a place of integrity and ambition. I think that we need so badly, and so I was like, let's fucking go!" — Kristen Stewart

"The building means to me that there's like something of our original grandeur that we kind of aspire to here in Hollywood, but from a place of integrity and ambition. I think that we need so badly, and so I was like, let's fucking go!" — Kristen Stewart

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Transformers One will be a single movie...with an open ending (which we all know how it could continue and end)...but we will be grateful that it exists I Love you TF One #TransformersOne

Transformers One will be a single movie...with an open ending (which we all know how it could continue and end)...but we will be grateful that it exists I Love you TF One #TransformersOne

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PG & Jamal Crawford explain how ‘ridiculous’ Prime Tracy McGrady was: 🏁 Jamal Crawford: “We watch PG, we watch T-Mac we like, ‘man it looks so easy, are they really working like that?’” PG: “That’s where I get that left, right into the dribble and then the right into the hang … T-Mac was a killer with that.”

PG & Jamal Crawford explain how ‘ridiculous’ Prime Tracy McGrady was: 🏁 Jamal Crawford: “We watch PG, we watch T-Mac we like, ‘man it looks so easy, are they really working like that?’” PG: “That’s where I get that left, right into the dribble and then the right into the hang … T-Mac was a killer with that.”

Podcast P with Paul George

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Annaka Harris says space might not be fundamental. Like color, it could be a construct of perception. "Green exists as an experience." We once believed green was "out there." Now we know it's built in the brain. Space, she suggests, may be no different.

Annaka Harris says space might not be fundamental. Like color, it could be a construct of perception. "Green exists as an experience." We once believed green was "out there." Now we know it's built in the brain. Space, she suggests, may be no different.

vitrupo

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Their breakthrough was realizing: We don't program AI, we grow it (Chris Olah). Like biology evolving complex systems: • We create the scaffold • We create the light • But the system grows itself This led to a shocking discovery:

Their breakthrough was realizing: We don't program AI, we grow it (Chris Olah). Like biology evolving complex systems: • We create the scaffold • We create the light • But the system grows itself This led to a shocking discovery:

Ben Averbook

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Jordan Walsh shared that a Jaylen Brown conversation with Joe Mazzulla may have helped him earn more minutes: “We were talking about how we felt like we needed a guy who can go in and guard the best player every night. He kept saying to me, he said, ‘I think it’s you. I think it could be you.’ I was like, ‘All right. I’m with you. I think so, too.’ So he’s like, ‘ I’m gonna have a conversation with Joe, and we can go from there.’ I was like, ‘All right, cool.’”

Jordan Walsh shared that a Jaylen Brown conversation with Joe Mazzulla may have helped him earn more minutes: “We were talking about how we felt like we needed a guy who can go in and guard the best player every night. He kept saying to me, he said, ‘I think it’s you. I think it could be you.’ I was like, ‘All right. I’m with you. I think so, too.’ So he’s like, ‘ I’m gonna have a conversation with Joe, and we can go from there.’ I was like, ‘All right, cool.’”

Noa Dalzell 🏀

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