Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

DeepMind's Mostafa Dehghani says recursive self-improvement (RSI) isn't sci-fi anymore Almost every lab now uses previous-generation models to build the next one. It's not fully automated yet "what's missing is long-horizon planning and full automation" Once that loop closes, progress is mostly limited by compute, not humans

haider1's profile picture

Haider.

67,345 subscribers

18,384 Aufrufe • vor 3 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Elon Musk says humans may exit the AI development loop entirely by next year. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.”
0:56

Elon Musk says humans may exit the AI development loop entirely by next year. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.”

illuminatibot

55,658 Aufrufe • vor 4 Monaten

Alexandr Wang says AI has entered the era of “recursive self-improvement.” The models are now helping build their successors. The rate of progress is compounding.
1:09

Alexandr Wang says AI has entered the era of “recursive self-improvement.” The models are now helping build their successors. The rate of progress is compounding.

vitrupo

77,942 Aufrufe • vor 4 Monaten

Elon Musk just confirmed when humans exit the AI development loop entirely. Not eventually. Not theoretically. He gave a date. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.” The market still assumes thousands of engineers are hand-coding the next frontier model. The compute already took over the build. Musk: “That is happening to a large degree, but it’s not yet fully automated. It may be there, if not this year, but not later than next year.” Once biological friction is fully automated out of the loop, the AI arms race detaches from human comprehension. Permanently. Global markets are still planning for a gradual transition. That timeline is already dead. Interviewer: “Do you see a hard takeoff at that point?” Musk: “We’re in the hard takeoff. Right now.” Musk: “I go to sleep, there’s some massive AI breakthrough. And when I wake up there’s another one.” You don’t outrun autonomous, self-improving intelligence by hiring more biological engineers. By the time the hiring sprint finishes, the model has already iterated into something the job description can’t describe. The architects of intelligence are no longer biological. And the thing building itself didn’t ask for the job.
0:56

Elon Musk just confirmed when humans exit the AI development loop entirely. Not eventually. Not theoretically. He gave a date. Musk: “Humans are gradually getting less and less in the loop on the recursive self-improvement. Every successive model is built by the one before it.” The market still assumes thousands of engineers are hand-coding the next frontier model. The compute already took over the build. Musk: “That is happening to a large degree, but it’s not yet fully automated. It may be there, if not this year, but not later than next year.” Once biological friction is fully automated out of the loop, the AI arms race detaches from human comprehension. Permanently. Global markets are still planning for a gradual transition. That timeline is already dead. Interviewer: “Do you see a hard takeoff at that point?” Musk: “We’re in the hard takeoff. Right now.” Musk: “I go to sleep, there’s some massive AI breakthrough. And when I wake up there’s another one.” You don’t outrun autonomous, self-improving intelligence by hiring more biological engineers. By the time the hiring sprint finishes, the model has already iterated into something the job description can’t describe. The architects of intelligence are no longer biological. And the thing building itself didn’t ask for the job.

Dustin

322,730 Aufrufe • vor 4 Monaten

Elon Musk: We're in the hard takeoff right now. Every successive AI model is built by the one before it. Peter Diamandis: Do you see Grok doing recursive self-improvement at this point? And how? What's the timeline for AGI and ASI? Give us a sense of that. Elon Musk: Yeah, I think we've been in recursive improvement for a while here. If you mean by, like, recursive self-improvement without a human in the loop, is that what you mean? Peter Diamandis: I do. Elon Musk: On the AI software side, I mean, humans are gradually getting less and less in the loop on the recursive self-improvement. So every successive model is built by the one before it. So that is happening to a large degree, but it's not yet fully automated. It may be there end of this year, but not later than next year. Peter Diamandis: Do you see a hard takeoff at that point? Elon Musk: We're in the hard takeoff. Peter Diamandis: Okay. Elon Musk: Right now, yes. I mean, at this point I go to sleep, there's some massive AI breakthrough, and when I wake up, there's another one. Yes. Yeah, it's hard to keep track, honestly. So, yeah, it's a bit of a head spinner. Moonshots with Peter Diamandis (Abundance Summit 2026), March 18, 2026.
1:24

Elon Musk: We're in the hard takeoff right now. Every successive AI model is built by the one before it. Peter Diamandis: Do you see Grok doing recursive self-improvement at this point? And how? What's the timeline for AGI and ASI? Give us a sense of that. Elon Musk: Yeah, I think we've been in recursive improvement for a while here. If you mean by, like, recursive self-improvement without a human in the loop, is that what you mean? Peter Diamandis: I do. Elon Musk: On the AI software side, I mean, humans are gradually getting less and less in the loop on the recursive self-improvement. So every successive model is built by the one before it. So that is happening to a large degree, but it's not yet fully automated. It may be there end of this year, but not later than next year. Peter Diamandis: Do you see a hard takeoff at that point? Elon Musk: We're in the hard takeoff. Peter Diamandis: Okay. Elon Musk: Right now, yes. I mean, at this point I go to sleep, there's some massive AI breakthrough, and when I wake up, there's another one. Yes. Yeah, it's hard to keep track, honestly. So, yeah, it's a bit of a head spinner. Moonshots with Peter Diamandis (Abundance Summit 2026), March 18, 2026.

ELON CLIPS

19,692 Aufrufe • vor 17 Tagen

Microsoft AI CEO, Mustafa Suleyman: By the end of 2025, models will move from one-shot answers to continuous planning With persistent memory and long-horizon planning, models will become deeply human-like no new algorithm, mostly compute and scale
2:41

Microsoft AI CEO, Mustafa Suleyman: By the end of 2025, models will move from one-shot answers to continuous planning With persistent memory and long-horizon planning, models will become deeply human-like no new algorithm, mostly compute and scale

Haider.

255,237 Aufrufe • vor 9 Monaten

Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at Two Minute Papers channel)
2:00

Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at Two Minute Papers channel)

Ihtesham Ali

67,788 Aufrufe • vor 20 Tagen

Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at
4:04

Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at

Ricursive Intelligence

502,051 Aufrufe • vor 7 Monaten

The Life AI Biohub is the first scientific infrastructure powered by real humans, not just lab signals. Human network → AI compute → Reusable models → Applications build on top Platform infrastructure that compounds as it grows. This is how healthcare AI scales.
1:49

The Life AI Biohub is the first scientific infrastructure powered by real humans, not just lab signals. Human network → AI compute → Reusable models → Applications build on top Platform infrastructure that compounds as it grows. This is how healthcare AI scales.

LIFE AI

24,102 Aufrufe • vor 6 Monaten

the “recursive self-improvement” animation from Anthropic’s blog on “recursive self-improvement” is legit
0:42

the “recursive self-improvement” animation from Anthropic’s blog on “recursive self-improvement” is legit

Bearly AI

41,013 Aufrufe • vor 1 Monat

The highest-leverage insight in software right now: The best way to build a product that continuously improves is not to build the product. It's to build the AI infrastructure that builds the product in an iterative, automated loop.
1:08

The highest-leverage insight in software right now: The best way to build a product that continuously improves is not to build the product. It's to build the AI infrastructure that builds the product in an iterative, automated loop.

Nexus

11,100 Aufrufe • vor 3 Monaten

Holy: OpenAI says it’s reallocating compute and talent toward its next generation of models, echoing the internal shift that preceded GPT-3. The focus now is on “automated researchers” and agent-based systems that can execute complex tasks end-to-end. It’s a signal that the lab sees these systems as the next major step beyond current AI tools. Thats why they sacrificed Sora. For automated reserachers.
1:00

Holy: OpenAI says it’s reallocating compute and talent toward its next generation of models, echoing the internal shift that preceded GPT-3. The focus now is on “automated researchers” and agent-based systems that can execute complex tasks end-to-end. It’s a signal that the lab sees these systems as the next major step beyond current AI tools. Thats why they sacrificed Sora. For automated reserachers.

Chubby♨️

31,819 Aufrufe • vor 3 Monaten

Mustafa Suleyman says recursive self-improvement is the threshold moment, when AI improves itself without humans Some see this as a path to "foom" — an intelligence explosion with unbounded compute and no human control "we're taking steps toward riskier and riskier stuff"
1:25

Mustafa Suleyman says recursive self-improvement is the threshold moment, when AI improves itself without humans Some see this as a path to "foom" — an intelligence explosion with unbounded compute and no human control "we're taking steps toward riskier and riskier stuff"

Haider.

18,349 Aufrufe • vor 6 Monaten

Ex-Google CEO Eric Schmidt says in 5 years, AI systems will be able to write and improve on their own code leading to recursive self-improvement and humans are not ready
1:33

Ex-Google CEO Eric Schmidt says in 5 years, AI systems will be able to write and improve on their own code leading to recursive self-improvement and humans are not ready

Tsarathustra

200,074 Aufrufe • vor 1 Jahr

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself.” Meanwhile, Anthropic says every new model is given code that trains a small AI model and asked to make it faster. Claude Opus 4 achieved a 3x speedup. Mythos Preview reached 52x. Recursive self-improvement is starting to look real The models are helping build what comes next.
0:33

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself.” Meanwhile, Anthropic says every new model is given code that trains a small AI model and asked to make it faster. Claude Opus 4 achieved a 3x speedup. Mythos Preview reached 52x. Recursive self-improvement is starting to look real The models are helping build what comes next.

CG

343,231 Aufrufe • vor 1 Monat

Dario Amodei says the spark was seeing engineers stop writing code and start supervising it. Inside Anthropic, Claude writes much of the software, and humans review like editors. The twist is meta: some of that code helps build the next Claude. That’s the self-improvement loop tightening, says Dario Amodei.
0:49

Dario Amodei says the spark was seeing engineers stop writing code and start supervising it. Inside Anthropic, Claude writes much of the software, and humans review like editors. The twist is meta: some of that code helps build the next Claude. That’s the self-improvement loop tightening, says Dario Amodei.

Wes Roth

87,585 Aufrufe • vor 5 Monaten

“AI is going to create polarization of wealth; next, we are going to have the polarization of compute.” @jason would spend $250k instantly on a compute closet. It's not just about wealth inequality anymore. Nick Harris says the gap is compute. The 1% can build their own data centers and beat anyone on any knowledge task on the planet. Full episode:
0:55

“AI is going to create polarization of wealth; next, we are going to have the polarization of compute.” @jason would spend $250k instantly on a compute closet. It's not just about wealth inequality anymore. Nick Harris says the gap is compute. The 1% can build their own data centers and beat anyone on any knowledge task on the planet. Full episode:

This Week in AI

33,039 Aufrufe • vor 1 Monat

Sam Altman says OpenAI has reached another GPT-3-style moment Something important is working so well that other strong projects have to give way That is why OpenAI is focusing its compute on next-generation models and the automated researchers and companies they can power
1:09

Sam Altman says OpenAI has reached another GPT-3-style moment Something important is working so well that other strong projects have to give way That is why OpenAI is focusing its compute on next-generation models and the automated researchers and companies they can power

Haider.

59,715 Aufrufe • vor 3 Monaten

Eric Schmidt says intelligence is about to decouple from us. “The computers are now doing self-improvement.. They don’t have to listen to us anymore.” Within six years: a mind smarter than the sum of humans -- scaled, recursive, free. We have no language for what’s coming.
2:31

Eric Schmidt says intelligence is about to decouple from us. “The computers are now doing self-improvement.. They don’t have to listen to us anymore.” Within six years: a mind smarter than the sum of humans -- scaled, recursive, free. We have no language for what’s coming.

vitrupo

1,479,207 Aufrufe • vor 1 Jahr

2026 is the year AI automation goes mainstream. But there's one problem. Every automation creates value, yet almost all of that value flows to Big Tech and billion-dollar companies. That's where Actionist.AI changes the game. Powered by Action Model, Actionist is an AI automation platform where the people helping train and grow the AI can share in the value it creates, not just shareholders and billionaires. Automation is inevitable. Who benefits from it isn't. Join our Discord to be among the first to experience Actionist before anyone else.
0:51

2026 is the year AI automation goes mainstream. But there's one problem. Every automation creates value, yet almost all of that value flows to Big Tech and billion-dollar companies. That's where Actionist.AI changes the game. Powered by Action Model, Actionist is an AI automation platform where the people helping train and grow the AI can share in the value it creates, not just shareholders and billionaires. Automation is inevitable. Who benefits from it isn't. Join our Discord to be among the first to experience Actionist before anyone else.

Action Model

21,083 Aufrufe • vor 6 Tagen

.Dan Shipper 📧: "The AI jobpocalypse is not a thing. The mass unemployment thing that AI lab CEOs are talking about—that's not going to happen. AI models make yesterday's human competence cheap. But what's interesting is that since everyone's using the same models, it all looks the same. So it becomes commoditized. It's not valuable anymore. And what humans do is we go in there, and we're like, yeah, we have all this frozen human competence from yesterday, how do I use this to make something new and interesting, today?"
1:06

.Dan Shipper 📧: "The AI jobpocalypse is not a thing. The mass unemployment thing that AI lab CEOs are talking about—that's not going to happen. AI models make yesterday's human competence cheap. But what's interesting is that since everyone's using the same models, it all looks the same. So it becomes commoditized. It's not valuable anymore. And what humans do is we go in there, and we're like, yeah, we have all this frozen human competence from yesterday, how do I use this to make something new and interesting, today?"

Lenny Rachitsky

276,091 Aufrufe • vor 1 Monat