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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 次观看 • 7 个月前 •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

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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.

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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?

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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.

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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:

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We get this question often, "what is Eitherway capable of and why are we different?" We thought about it and wanted to show you instead. You have a right to be curious. So we built an entire autonomous cyberpunk city.

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