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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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446,266 görüntüleme • 9 ay önce •via X (Twitter)

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“how does writing from kind of a vampire’s perspective challenge you, as opposed to writing something from your perspective, if that makes sense?” 🦮 we’re in comic-con right now talking about the dark moon. we started that since our debut, and we built that kind of its own fandom base. and, like, it’s so cool to see now because to be 100% honest, we didn’t know that it would be like this when we started it. but like you said, it might be challenging to kind of all thread that together in one album, have that vampire-like story also. but we think of it as like a benefit almost because we know that there’s people… there’s a huge fandom around vampires itself, and we’re very lucky that we built the space around that world that we’re able to kind of talk about it in our album as well. and overall, i think it’s just new ways or ne doors that can be opened into this big kind of thing that we build. yeah, not just our album, not just us, but also just enhypen itself. 🦮 some people might just listen to our music, and they might just like listening to music, that might be it. but some people might really enjoy the vampire aspects of the album. there’s different types of people that can just come together into one album. i think it is challenging at times to time, but we think of it as just another factor that can be used as a benefit.

“how does writing from kind of a vampire’s perspective challenge you, as opposed to writing something from your perspective, if that makes sense?” 🦮 we’re in comic-con right now talking about the dark moon. we started that since our debut, and we built that kind of its own fandom base. and, like, it’s so cool to see now because to be 100% honest, we didn’t know that it would be like this when we started it. but like you said, it might be challenging to kind of all thread that together in one album, have that vampire-like story also. but we think of it as like a benefit almost because we know that there’s people… there’s a huge fandom around vampires itself, and we’re very lucky that we built the space around that world that we’re able to kind of talk about it in our album as well. and overall, i think it’s just new ways or ne doors that can be opened into this big kind of thing that we build. yeah, not just our album, not just us, but also just enhypen itself. 🦮 some people might just listen to our music, and they might just like listening to music, that might be it. but some people might really enjoy the vampire aspects of the album. there’s different types of people that can just come together into one album. i think it is challenging at times to time, but we think of it as just another factor that can be used as a benefit.

ɪᴄɪᴇʟ. 🐚

15,564 görüntüleme • 1 ay önce

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

376,491 görüntüleme • 10 ay önce

🚨 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."

Red Panda Koala

84,038 görüntüleme • 6 ay önce

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

15,315 görüntüleme • 7 ay önce

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.

Bilawal Sidhu

1,183,430 görüntüleme • 3 yıl önce

🗣️: was the scene where Becky feeds you in ep6 improvised? It was so cute. 🌷: anything that appeared at the beginning or the end of a scene is mostly improvised—whether it’s me playing with Becky or with Watinwanich cousins, those were like magic moments. we just kind of played along and tried to make it through the scene because P’Fuse didn’t really say “cut” you know? and while we were acting, we didn’t even think they would use it. but when I watched it later, I was like, ‘oh, they really used it—and it was kind of funny.’ I love how P’Fuse just lets them be themselves instead of directing every little move. 🙂‍↔️

🗣️: was the scene where Becky feeds you in ep6 improvised? It was so cute. 🌷: anything that appeared at the beginning or the end of a scene is mostly improvised—whether it’s me playing with Becky or with Watinwanich cousins, those were like magic moments. we just kind of played along and tried to make it through the scene because P’Fuse didn’t really say “cut” you know? and while we were acting, we didn’t even think they would use it. but when I watched it later, I was like, ‘oh, they really used it—and it was kind of funny.’ I love how P’Fuse just lets them be themselves instead of directing every little move. 🙂‍↔️

Por

25,985 görüntüleme • 2 ay önce

Parasma Founder & CEO Sean Cole, who previously went viral for training human brain cells to play Doom, says that using them for compute could be far more energy-efficient than today's silicon chips. "Regardless of how efficient we make silicon, we still haven't solved the efficiency aspect of it, in terms of power efficiency." "I think human brains are extremely power efficient in comparison to silicon." "There are things that we can harness [with human brain cells] on top of other stuff like sample efficiency and continual learning."

Parasma Founder & CEO Sean Cole, who previously went viral for training human brain cells to play Doom, says that using them for compute could be far more energy-efficient than today's silicon chips. "Regardless of how efficient we make silicon, we still haven't solved the efficiency aspect of it, in terms of power efficiency." "I think human brains are extremely power efficient in comparison to silicon." "There are things that we can harness [with human brain cells] on top of other stuff like sample efficiency and continual learning."

TBPN

42,692 görüntüleme • 29 gün önce

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

564,831 görüntüleme • 4 ay önce

Sergey Brin on AI and Jeff Dean back in December when Gemini peaked: “I would say in some ways we for sure messed up in that we underinvested and sort of didn't take it as seriously as we should have, say, eight years ago when we published the Transformer paper. We actually didn't take it all that seriously and didn't necessarily invest in scaling the compute. And also we were too scared to bring it to people because chatbots say dumb things. And, you know, OpenAI ran with it, which is good for them. It was a super smart insight, and it was also our people like Ilya who went there to do that. But I do think we still have benefited from that long history. So we had a lot of the research and development of neural networks kind of going back to Google Brain. That was also kind of lucky. It wasn't luck that we hired Jeff Dean. I mean, we were lucky to get him. But we were in this sort of mindset that deep technical things matter. And so we hired him. We hired a lot of people from DEC, honestly, because they had the top research labs at the time. But he [Jeff Dean] was passionate about neural networks. And it stemmed, I think, from actually his college experiment. I don't know. He was like, whatever, curing third world disease and figuring out neural networks when he was like 16. He's done crazy things. But he was passionate about it. He built up a whole effort. And actually in my division at the time in Google X. We had him but I didn't I was like okay Jeff you do whatever you want. He's like oh we can tell cats from dogs. I'm like oh okay cool. But you know, you also trust your technical people and soon enough they were developing all these algorithms these neural nets that were doing some of our search. And then, you know, Noam came up with a transformer and we were able to do more and more. But yeah, I mean, so we had the underpinnings, we had the R&D. We did underinvest for a number of years and didn't take it as seriously as we should have.” Both Jeff Dean and Noam Shazeer left Google in the past two months.

Sergey Brin on AI and Jeff Dean back in December when Gemini peaked: “I would say in some ways we for sure messed up in that we underinvested and sort of didn't take it as seriously as we should have, say, eight years ago when we published the Transformer paper. We actually didn't take it all that seriously and didn't necessarily invest in scaling the compute. And also we were too scared to bring it to people because chatbots say dumb things. And, you know, OpenAI ran with it, which is good for them. It was a super smart insight, and it was also our people like Ilya who went there to do that. But I do think we still have benefited from that long history. So we had a lot of the research and development of neural networks kind of going back to Google Brain. That was also kind of lucky. It wasn't luck that we hired Jeff Dean. I mean, we were lucky to get him. But we were in this sort of mindset that deep technical things matter. And so we hired him. We hired a lot of people from DEC, honestly, because they had the top research labs at the time. But he [Jeff Dean] was passionate about neural networks. And it stemmed, I think, from actually his college experiment. I don't know. He was like, whatever, curing third world disease and figuring out neural networks when he was like 16. He's done crazy things. But he was passionate about it. He built up a whole effort. And actually in my division at the time in Google X. We had him but I didn't I was like okay Jeff you do whatever you want. He's like oh we can tell cats from dogs. I'm like oh okay cool. But you know, you also trust your technical people and soon enough they were developing all these algorithms these neural nets that were doing some of our search. And then, you know, Noam came up with a transformer and we were able to do more and more. But yeah, I mean, so we had the underpinnings, we had the R&D. We did underinvest for a number of years and didn't take it as seriously as we should have.” Both Jeff Dean and Noam Shazeer left Google in the past two months.

tae kim

249,117 görüntüleme • 1 ay önce

This might be one of the GREATEST puzzle games ever created. It is a ONE OF A KIND idea that is full of FUN and CHARM. We need more games like this.

This might be one of the GREATEST puzzle games ever created. It is a ONE OF A KIND idea that is full of FUN and CHARM. We need more games like this.

Windpress

68,493 görüntüleme • 7 gün önce

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

ELON CLIPS

32,399 görüntüleme • 6 ay önce

🧠 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

17,844 görüntüleme • 8 ay 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

146,232 görüntüleme • 7 ay önce

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.

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.

Eitherway

222,330 görüntüleme • 2 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

13,861 görüntüleme • 8 ay önce

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

16,422 görüntüleme • 6 ay önce

🦮: we know that there's people, there's a huge fandom around vampires itself and we are very lucky that we build the space around that world, that we're able to kind of talk about it in our album as well. 🦮: and overall, i think it's just new ways or new like doors that can be opened, into this big kind of thing that we built, not just our album, not just us, but also just ENHYPEN itself. 🦮: and i think a lot of people can just, you know, some people might just listen to our music and they might just, you know, like listening to music, that might be it. but some people might really enjoy the vampires aspects of the album ❤️‍🔥

🦮: we know that there's people, there's a huge fandom around vampires itself and we are very lucky that we build the space around that world, that we're able to kind of talk about it in our album as well. 🦮: and overall, i think it's just new ways or new like doors that can be opened, into this big kind of thing that we built, not just our album, not just us, but also just ENHYPEN itself. 🦮: and i think a lot of people can just, you know, some people might just listen to our music and they might just, you know, like listening to music, that might be it. but some people might really enjoy the vampires aspects of the album ❤️‍🔥

샐마•𝗘𝗡╸

19,393 görüntüleme • 1 ay önce

"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

Stewart Quotes

39,460 görüntüleme • 7 ay önce

Tom Holland and Anne Hathaway on how they developed their onscreen mother-and-son relationship: Anne: “We had bounce right from the beginning.” Tom: “Immediately.” Anne: “So, we just liked each other. We have a lot of shared interests. We love film, we love sports, we love our families, so we just kind of never ran out of things to chat about. Still haven’t. And then the script, it was there. I mean, we had Chris Nolan adapting from Homer, so we were kind of like all good on the genius department.”

Tom Holland and Anne Hathaway on how they developed their onscreen mother-and-son relationship: Anne: “We had bounce right from the beginning.” Tom: “Immediately.” Anne: “So, we just liked each other. We have a lot of shared interests. We love film, we love sports, we love our families, so we just kind of never ran out of things to chat about. Still haven’t. And then the script, it was there. I mean, we had Chris Nolan adapting from Homer, so we were kind of like all good on the genius department.”

best of tom holland

571,428 görüntüleme • 2 ay önce

Charlie Evans revealed in a recent interview with MarieClaire that the chair pull was improvised “We needed to be closer for that and I didn’t really feel like leaning that far, so we just kind of did it in the moment,” Evans tells marie claire Australia exclusively. “It looked right and it felt great and it didn’t interfere with the shot, so we just kept it in.” “Mika is so funny and so open and willing to try things out and play a scene a million different ways. She’s so good at saying yes and exploring things, which we did,” he recalls. “We kind of just went through that scene instinctually and that was sort of the final product, was whatever we felt in the moment. It didn’t really need much adjusting, which was nice.”

Charlie Evans revealed in a recent interview with MarieClaire that the chair pull was improvised “We needed to be closer for that and I didn’t really feel like leaning that far, so we just kind of did it in the moment,” Evans tells marie claire Australia exclusively. “It looked right and it felt great and it didn’t interfere with the shot, so we just kept it in.” “Mika is so funny and so open and willing to try things out and play a scene a million different ways. She’s so good at saying yes and exploring things, which we did,” he recalls. “We kind of just went through that scene instinctually and that was sort of the final product, was whatever we felt in the moment. It didn’t really need much adjusting, which was nice.”

Off Campus Updates

432,801 görüntüleme • 3 ay önce