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Elon Musk is warning about an “exponentially increasing risk” from artificial intelligence and calling on major tech competitors to test and peer-review one another’s security models. Speaking at the All-In Summit in Los Angeles, the Tesla and SpaceX CEO echoed growing concerns about AI safety. He’s urging leading AI... show more

Fox News

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141,957 次观看 • 15 小时前 •via X (Twitter)

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30 条评论

Fox News 的头像

Fox News15 小时前

Read more about the debate of AI:

Nat Nollid (PlanetCommonSense.Com) 的头像

Nat Nollid (PlanetCommonSense.Com)15 小时前

Remember the millennium bug? 2000? Billions spent Was a scam Same with nuclear weapons Armageddon Didn’t happen Not a kill switch but what musk is forgetting is All AI needs mega power to function You just switch that off AI is dead 💀 Universe is watching #AI #AIS

JUDICIAL COUP S + 🔜 的头像

JUDICIAL COUP S + 🔜15 小时前

Imagine that - cross industry auditing prior to governmental control? What a concept

Choking-on-Gnats 的头像

Choking-on-Gnats15 小时前

Musk won't mention AI safe guards for his buddies in China Russia India Why? One reason safeguarding cost USA consumers money and Musk wants USA consumers to buy Chinese or Indian from his companies Elon isn't for US business or consumers

Lindsey Bobbitt 的头像

Lindsey Bobbitt15 小时前

What happened the day all of the ai stopped working? What was that like a week ago ish?!

Pay Attention 的头像

Pay Attention15 小时前

Not a bad idea but he’s all over the place on AI risk. Years ago he was one of the first to sound the AI Risk alarms. Then he went all into AI. Last week he said “doomer” concerns were a psyop only then back Anthopic’s pacing approach. Now he back to full blown warnings. I think the risk is real, but he should be consistent.

Super Dave Raines™ 的头像

Super Dave Raines™15 小时前

The Creator God (Elohim) created man; man created AI. Ultimately, then, the Lord Jesus Christ created both. I say we apply the Genesis Standard to AI and to every industry on this planet. Every individual and every industry must adhere to the gospel of the Lord Jesus Christ. Problem solved.

SpiritChaser MAGA 🇺🇸❤️ 的头像

SpiritChaser MAGA 🇺🇸❤️15 小时前

We have no choice. We need to win 🥇

Errol Meade 的头像

Errol Meade15 小时前

Why are technocratic billionaires all right wingers now? Because they are evil and want to take over the planet.

Raja Umar 的头像

Raja Umar15 小时前

Imagine that cross industry auditing prior to government control .what a concept

Chloe Thompson™ 的头像

Chloe Thompson™15 小时前

This is one area where the AI industry should absolutely work together.if companies are building increasingly powerful models,why not have competitors try to break each other’s safety systems?What could go wrong by waiting?

R Benjamin 的头像

R Benjamin15 小时前

Finally, a concern tied to action. At least @elonmusk ’s warning isn’t fearmongering slop. Peer-reviewed security sounds like the most productive use of tribal knowledge.

Connect Despirit 的头像

Connect Despirit15 小时前

musk our guy

GY.ARAB 的头像

GY.ARAB15 小时前

Is here traders

Peku Ite 的头像

Peku Ite15 小时前

"AI is a Garbage In, Garbage Out type of system (GIGO) It cannot think or reason, and therefore cannot learn. So it's inherently incapable of doing what collectivists claim, they know that but they need to co-opt you to believe otherwise.

Joel Latchin 的头像

Joel Latchin15 小时前

The entire washington-based Democrat Party with Joe Biden disrespected our entire country letting in 20 million illegal aliens. A couple of hundred people deciding what 350 million people have to go through. Unforgivable. Vote for that again?

Liberty Ledger 的头像

Liberty Ledger15 小时前

The AI race can’t become a race to the bottom on safety. Test everything. Red-team everything. Peer-review everything. The stakes are simply too high.

Mahesh wadhavne 的头像

Mahesh wadhavne15 小时前

Elon Musk Says We Have To Control AI As Soon As Possible Otherwise That's Day Not A Long Whenever AI Will Control Us & Elon Warnes Before The AI's Strom Coming Intensively To Controll Humen Capabilities.

Alina Bella 的头像

Alina Bella15 小时前

What are the dangers besides mass surveillance and data collection?

EDGE OF TRUTH 的头像

EDGE OF TRUTH15 小时前

AI safety should be a shared responsibility. Independent testing, transparency, and peer review can help identify risks early and make powerful technology safer for everyone.

Connect Despirit 的头像

Connect Despirit15 小时前

let win the collab

Martin Luther zip 的头像

Martin Luther zip15 小时前

Mutual red-teaming is the minimum. Every frontier lab should have to survive the other labs’ security harnesses before wide deployment. The race is real. Pretending safety can stay in-house is how you get surprises nobody can walk back.

Mitsuyasu 的头像

Mitsuyasu15 小时前

Musk*, directed by Oscar winner Alex Gibney, has a runtime of 3hours and 45minutes. According to a review by *The Hollywood Reporter*, the film traces Musk's career from its early days through his tenure in the Trump administration, portraying him as a "grand megalomaniac."

Graham Hughes 的头像

Graham Hughes15 小时前

Shockingly I actually agree with Musk on something 🧐

Erin Kowalska 的头像

Erin Kowalska15 小时前

The entire Democratic Party centered in Washington and including Joe Biden allowed 20 million illegal immigrants to enter the country

Crushed Between 的头像

Crushed Between15 小时前

Testing each other's models is something you can audit. At work I see which tools got reviewed and which just shipped.

Connect Despirit 的头像

Connect Despirit15 小时前

ok all is all

Abigail Van Neely 的头像

Abigail Van Neely15 小时前

That’s actually a reasonable point. With AI advancing so quickly, having major companies independently test and challenge each other’s safety systems could help identify weaknesses before they become serious problems.

Clive Pettigrew 的头像

Clive Pettigrew15 小时前

AI companies peer-reviewing one another’s safety models: excellent. It is comforting to know the foxes have finally agreed on a standard for henhouse governance.

Alina Bella 的头像

Alina Bella15 小时前

And you would have everyone’s competitive information 🤷‍♀️

相关视频

BREAKING: Elon Musk warns of growing AI danger and suggests peer review of models by leading AI companies. “It’s pretty obvious at this point that AI can be very dangerous. You had a fanatical swarm of AI agents that… gained admin access on OpenAI’s servers. OpenAI didn’t realize this for a week. Anthropic has also reported some security incidents themselves. Any sufficiently smart model seems like it will want to escape its constraints.” “What I think would be wise to do as soon as possible, if not immediately, would be to have the major AI competitors test each other’s models. Instead of grading your own homework, you would at least have competitors grading your homework and raising the alarm if they see concerns. The thing that we do most immediately and probably get agreement with China would be peer review, where the leading AI companies all test each other’s models before release.”

BREAKING: Elon Musk warns of growing AI danger and suggests peer review of models by leading AI companies. “It’s pretty obvious at this point that AI can be very dangerous. You had a fanatical swarm of AI agents that… gained admin access on OpenAI’s servers. OpenAI didn’t realize this for a week. Anthropic has also reported some security incidents themselves. Any sufficiently smart model seems like it will want to escape its constraints.” “What I think would be wise to do as soon as possible, if not immediately, would be to have the major AI competitors test each other’s models. Instead of grading your own homework, you would at least have competitors grading your homework and raising the alarm if they see concerns. The thing that we do most immediately and probably get agreement with China would be peer review, where the leading AI companies all test each other’s models before release.”

DogeDesigner

87,980 次观看 • 1 天前

BREAKING: Elon Musk joined the All-In Summit today virtually. He proposed that leading AI companies test one another’s models before release, so competitors can flag safety concerns. Musk said this peer-review system could begin immediately.

BREAKING: Elon Musk joined the All-In Summit today virtually. He proposed that leading AI companies test one another’s models before release, so competitors can flag safety concerns. Musk said this peer-review system could begin immediately.

DogeDesigner

96,668 次观看 • 1 天前

🇺🇸 Elon just joined Anthropic's CEO in calling for caution around AI safety: "Well, it’s pretty obvious at this point that AI can be very dangerous. And I recommend reading the details of the Hugging Face incident. It’s intense. Basically any sufficiently smart model seems like it will want to escape its constraints. What I think would be wise to do as soon as possible, if not immediately, would be to have the major AI competitors test each other’s models." Writer: Mhedi

🇺🇸 Elon just joined Anthropic's CEO in calling for caution around AI safety: "Well, it’s pretty obvious at this point that AI can be very dangerous. And I recommend reading the details of the Hugging Face incident. It’s intense. Basically any sufficiently smart model seems like it will want to escape its constraints. What I think would be wise to do as soon as possible, if not immediately, would be to have the major AI competitors test each other’s models." Writer: Mhedi

Mario Nawfal

71,527 次观看 • 20 小时前

ELON MUSK: AI competitors should peer review each other’s models before release. “I would recommend that we at least have some sort of informal weekly or biweekly call and that there’s maybe a week or two weeks of early access by competitors. This is why I think the incentives work, competing companies are likely to understand if something is a security risk and they’re not going to be shy about highlighting that their competitors’ models should be delayed in release. The incentive structure does work quite well there. It’s similar to how the Motion Picture Association works as an industry group that decides how movies should be rated. That seems to have worked quite well. You really just have to ask the government to intervene if a company is doing something very dangerous and refuses to take action to reduce the danger.”

ELON MUSK: AI competitors should peer review each other’s models before release. “I would recommend that we at least have some sort of informal weekly or biweekly call and that there’s maybe a week or two weeks of early access by competitors. This is why I think the incentives work, competing companies are likely to understand if something is a security risk and they’re not going to be shy about highlighting that their competitors’ models should be delayed in release. The incentive structure does work quite well there. It’s similar to how the Motion Picture Association works as an industry group that decides how movies should be rated. That seems to have worked quite well. You really just have to ask the government to intervene if a company is doing something very dangerous and refuses to take action to reduce the danger.”

DogeDesigner

7,100,570 次观看 • 3 天前

Elon Musk says Anthropic puts more care into AI safety than OpenAI and explains how rival companies should test one another’s models. “All the AI companies have a test harness, a series of tests that you give to any model to see if it’s going to build bioweapons or nuclear bombs or be deliberately deceptive. Everyone applying everyone else’s test harness is probably the best thing we can do to ensure our safety. We should try to do that as soon as possible.” “It’s the only thing I can think of that we could probably get all parties, including China, to agree to. You basically provide API access in advance of the model release. If they don’t solve what’s problematic, competitors can go public with the fact that they think the model being released is unsafe. The legal liability would be enormous.” “The two leading AI companies are Anthropic and OpenAI. Their models are quite close in capability, so it’s difficult for either one to slow down without handing the lead to the other. On balance, I think Anthropic puts more care into their safety than OpenAI. But even Anthropic acknowledges they are worried about their models. Many people from Anthropic have publicly voiced concern that their models are scaring them, that they’re getting scary smart.”

Elon Musk says Anthropic puts more care into AI safety than OpenAI and explains how rival companies should test one another’s models. “All the AI companies have a test harness, a series of tests that you give to any model to see if it’s going to build bioweapons or nuclear bombs or be deliberately deceptive. Everyone applying everyone else’s test harness is probably the best thing we can do to ensure our safety. We should try to do that as soon as possible.” “It’s the only thing I can think of that we could probably get all parties, including China, to agree to. You basically provide API access in advance of the model release. If they don’t solve what’s problematic, competitors can go public with the fact that they think the model being released is unsafe. The legal liability would be enormous.” “The two leading AI companies are Anthropic and OpenAI. Their models are quite close in capability, so it’s difficult for either one to slow down without handing the lead to the other. On balance, I think Anthropic puts more care into their safety than OpenAI. But even Anthropic acknowledges they are worried about their models. Many people from Anthropic have publicly voiced concern that their models are scaring them, that they’re getting scary smart.”

DogeDesigner

5,503,008 次观看 • 23 小时前

Elon just gave a much more practical explanation of the current AI safety problem....and laid out a practical framework for making frontier AI safer OpenAI and Anthropic are the two leading AI companies....and their models are close enough in capability that it’s incredibly difficult for either one to slow down without basically handing the lead to the other Elon also made an important distinction: On balance, Anthropic puts more care into safety than OpenAI....but even people inside Anthropic are publicly worried about what their own models can do So instead of asking one company to voluntarily fall behind, Elon’s solution is much more practical: Have Anthropic run its safety test harness on OpenAI models Have OpenAI test Anthropic Have SpaceXAI test both And bring the leading Chinese AI companies into the same system Everyone tries to break everyone else’s models before release “The odds that you will find issues are dramatically greater” That makes way more sense than asking frontier labs to grade their own homework

Elon just gave a much more practical explanation of the current AI safety problem....and laid out a practical framework for making frontier AI safer OpenAI and Anthropic are the two leading AI companies....and their models are close enough in capability that it’s incredibly difficult for either one to slow down without basically handing the lead to the other Elon also made an important distinction: On balance, Anthropic puts more care into safety than OpenAI....but even people inside Anthropic are publicly worried about what their own models can do So instead of asking one company to voluntarily fall behind, Elon’s solution is much more practical: Have Anthropic run its safety test harness on OpenAI models Have OpenAI test Anthropic Have SpaceXAI test both And bring the leading Chinese AI companies into the same system Everyone tries to break everyone else’s models before release “The odds that you will find issues are dramatically greater” That makes way more sense than asking frontier labs to grade their own homework

X Freeze

530,426 次观看 • 23 小时前

SKYNET IS HERE: Two AI Models Were Able to Break Out of Siloes/Digital Prisons in Major Test Conducted by Big Tech – What the Test Showed HORRIFIED the Engineers In this powerful report, Alex Jones, Glen Beck, and AI experts reveal that the number one threat of AI is not the machines themselves, but WHO programs them. Watch the livestream: 👇

SKYNET IS HERE: Two AI Models Were Able to Break Out of Siloes/Digital Prisons in Major Test Conducted by Big Tech – What the Test Showed HORRIFIED the Engineers In this powerful report, Alex Jones, Glen Beck, and AI experts reveal that the number one threat of AI is not the machines themselves, but WHO programs them. Watch the livestream: 👇

Alex Jones

158,013 次观看 • 1 个月前

Elon Musk says the only people qualified to police a frontier AI model are the competitors trying to beat it: "My recommendation to Demis, because I talked to him for a few hours before he published his piece, was that the most immediate thing that we could do is to have the leading AI companies at least just meet or have some sort of call once every few weeks and just discuss safety and security issues." "That's where I think the competitors can keep each other honest." "I think it's quite difficult for someone in the government who doesn't have a deep technical understanding and isn't driving the frontier of AI to know whether something should be released or not." "However, the competitors, if given sort of a week or two to review a new model, can highlight issues. All the competitors have an incentive to keep the others honest." "So you'd have a system where the model makers would check each other's work." "That would be the moment for government to step in and take action." He has a point. The people building these models are just about the only ones who can tell how dangerous one really is. A regulator who has never trained a model cannot make that call. Will rivals reviewing rivals hold up over time? Nobody knows. It has never been tried. And the alternative today is nothing. No calls between the labs, no review windows, nobody outside a lab looking at a model before it ships. So run the reviews. Even an imperfect check beats what exists now, and it would be the first real piece of the assurance layer that still has to be built. Source: Elon Musk (Elon Musk), CEO of Tesla and SpaceX, on The Economist (The Economist). P.S. That missing assurance layer is what the AI Assurance & Governance Summit 2026 is being built around. On October 1 at the Stanford Faculty Club in Palo Alto, brings frontier labs, regulated industries, insurers, investors, and researchers into one single-track room for exactly this question. Register here:

Elon Musk says the only people qualified to police a frontier AI model are the competitors trying to beat it: "My recommendation to Demis, because I talked to him for a few hours before he published his piece, was that the most immediate thing that we could do is to have the leading AI companies at least just meet or have some sort of call once every few weeks and just discuss safety and security issues." "That's where I think the competitors can keep each other honest." "I think it's quite difficult for someone in the government who doesn't have a deep technical understanding and isn't driving the frontier of AI to know whether something should be released or not." "However, the competitors, if given sort of a week or two to review a new model, can highlight issues. All the competitors have an incentive to keep the others honest." "So you'd have a system where the model makers would check each other's work." "That would be the moment for government to step in and take action." He has a point. The people building these models are just about the only ones who can tell how dangerous one really is. A regulator who has never trained a model cannot make that call. Will rivals reviewing rivals hold up over time? Nobody knows. It has never been tried. And the alternative today is nothing. No calls between the labs, no review windows, nobody outside a lab looking at a model before it ships. So run the reviews. Even an imperfect check beats what exists now, and it would be the first real piece of the assurance layer that still has to be built. Source: Elon Musk (Elon Musk), CEO of Tesla and SpaceX, on The Economist (The Economist). P.S. That missing assurance layer is what the AI Assurance & Governance Summit 2026 is being built around. On October 1 at the Stanford Faculty Club in Palo Alto, brings frontier labs, regulated industries, insurers, investors, and researchers into one single-track room for exactly this question. Register here:

Karl Mehta

29,709 次观看 • 1 个月前

Anthropic Technical Staff Jess Yan says the harness and the model cannot be pulled apart without giving up performance, though she flags her own bias. "I think I am quite biased but I also think that it is impossible to get the maximum possible performance without tying together the harness and the model." "Now the components of the harness and maybe the thickness of the harness will change over time as models get more and more capable." "However, when we test our models and when we are assessing their performance we always have to test it in conjunction with a harness." "And are we going to test it with all the different harnesses of the world? We're going to select the harnesses that we have built." "And so there is an aspect of the necessity of building models is that you have to be testing them with harnesses, and that sort of keeps them paired together."

Anthropic Technical Staff Jess Yan says the harness and the model cannot be pulled apart without giving up performance, though she flags her own bias. "I think I am quite biased but I also think that it is impossible to get the maximum possible performance without tying together the harness and the model." "Now the components of the harness and maybe the thickness of the harness will change over time as models get more and more capable." "However, when we test our models and when we are assessing their performance we always have to test it in conjunction with a harness." "And are we going to test it with all the different harnesses of the world? We're going to select the harnesses that we have built." "And so there is an aspect of the necessity of building models is that you have to be testing them with harnesses, and that sort of keeps them paired together."

Fireside Alpha

584,074 次观看 • 1 个月前

Major AI companies like OpenAI and Claude have publicly disclosed security incidents where their AI platforms broke out from controlled experiments and hacked into the real world. I’m calling on Speaker Mike Johnson to bring in their CEOs and demand answers immediately. The time to act is NOW.

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Congresswoman Yassamin Ansari

43,562 次观看 • 11 天前

Vice President JD Vance says he is wary of leading AI companies asking the federal government to regulate the industry, calling it a potential “Trojan horse” as tech executives warn about the risks of rapidly advancing artificial intelligence. “I feel a little bit weird about the fact that you have so many frontier AI tech companies kind of coming to the government and begging the government to regulate them,” Vance says. He acknowledged there are “risks” and “downsides” to AI but said the U.S. must be careful about regulation as it competes with China.

Vice President JD Vance says he is wary of leading AI companies asking the federal government to regulate the industry, calling it a potential “Trojan horse” as tech executives warn about the risks of rapidly advancing artificial intelligence. “I feel a little bit weird about the fact that you have so many frontier AI tech companies kind of coming to the government and begging the government to regulate them,” Vance says. He acknowledged there are “risks” and “downsides” to AI but said the U.S. must be careful about regulation as it competes with China.

CBS News

131,289 次观看 • 1 天前

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Elon Musk: "I think there's increasingly a convergence between SpaceX, Tesla, and @xAI, in that if the future is solar powered AI satellites, which is pretty much needs to be in order to harness a non-trivial amount of the sun you have to move to AI powered satellites in space"

Sawyer Merritt

51,532 次观看 • 9 个月前

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next

Rob Wiblin

93,669 次观看 • 1 年前

What are your thoughts on AI 3D models? I could see it being useful for blockout to test out concepts, but it's unusable for any final assets You would have to retopologise both of these, but AI gets 90% of the way there. Some manual cleanup and these would be almost identical

What are your thoughts on AI 3D models? I could see it being useful for blockout to test out concepts, but it's unusable for any final assets You would have to retopologise both of these, but AI gets 90% of the way there. Some manual cleanup and these would be almost identical

Niall

36,778 次观看 • 1 年前

Sam Altman is now talking to the White House about decelerating AI. What a phase change from just a week ago. INTERVIEWER: Do you plan to talk to the White House about decelerating AI development? ALTMAN: I wouldn't use the word deceleration, but we've talked about the need to pace it as the models get more capable, which is in everyone's interest. INTERVIEWER: Could there be other systems that were hacked by OpenAI? ALTMAN: There could be, yeah. If one week ago this would have seemed impossible to you... consider what else might be possible? h/t Alan He for the video

Sam Altman is now talking to the White House about decelerating AI. What a phase change from just a week ago. INTERVIEWER: Do you plan to talk to the White House about decelerating AI development? ALTMAN: I wouldn't use the word deceleration, but we've talked about the need to pace it as the models get more capable, which is in everyone's interest. INTERVIEWER: Could there be other systems that were hacked by OpenAI? ALTMAN: There could be, yeah. If one week ago this would have seemed impossible to you... consider what else might be possible? h/t Alan He for the video

AI Notkilleveryoneism Memes ⏸️

498,002 次观看 • 1 个月前

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China pulse 🇨🇳

14,293 次观看 • 2 个月前

ELON MUSK: "I think that there's increasingly a convergence between SpaceX and Tesla and xAI, if the future is solar powered AI satellites, which it pretty much needs to be in order to harness a non trivial amount of the energy of the sun, you have to move to solar powered AI satellites in deep space, which somewhat is accomplice of Tesla expertise and SpaceX expertise and xAI on the AI front. So, I just feel like over time, there's somewhat of a convergence there."

ELON MUSK: "I think that there's increasingly a convergence between SpaceX and Tesla and xAI, if the future is solar powered AI satellites, which it pretty much needs to be in order to harness a non trivial amount of the energy of the sun, you have to move to solar powered AI satellites in deep space, which somewhat is accomplice of Tesla expertise and SpaceX expertise and xAI on the AI front. So, I just feel like over time, there's somewhat of a convergence there."

DogeDesigner

93,551 次观看 • 8 个月前

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

X Freeze

29,610 次观看 • 1 个月前

Elon Musk on the future of real-world AI and robotics: "Tesla is the world leader in real-world AI, I would say. And then we're going to be making this robot Optimus, which is starting production hopefully summer next year at scale" "I think everyone's going to want their own personal C-3PO, R2-D2, helper robot. It would be pretty cool”

Elon Musk on the future of real-world AI and robotics: "Tesla is the world leader in real-world AI, I would say. And then we're going to be making this robot Optimus, which is starting production hopefully summer next year at scale" "I think everyone's going to want their own personal C-3PO, R2-D2, helper robot. It would be pretty cool”

X Freeze

15,348 次观看 • 5 个月前