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Yesterday it was Sam Altman, and now Dario Amodei also is signaling the same possibility: That even fierce US rivals like Anthropic, OpenAI, SpaceXAI could eventually agree on measures to slow the pace of frontier AI development. ---- From "CBS Sunday Morning" YouTube channel, (full video link in comment)

Full interview of Dario Amodei on "CBS Sunday Morning" YouTube channel https://t.co/07tkGgpLYZ

Sam Altman just said the unthinkable on his Fotune Magazine interview. OpenAI, Anthropic and Google DeepMind may agree to slow down together rather than race blindly toward more powerful AI. Fortune's Editor-in-Chief Alyson Shontell: "There's only a handful of you guys, you, Dario, Elon, maybe Zuckerberg, Sundar. Why can't you all just get in a room, get some beers, and figure out how to solve humanity? Like, just get on the same page. I know there's beef, but come on." Sam Altman; "I think that will happen." ---- From "Fortune Magazine" YouTube channel, (full video link in comment)

Another strong statement from Sam Altman on slowing down AI. “Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.” https://t.co/cb2PlJ34dF https://t.co/sn33RjsGhl

Fable solved the Cyphral Distich (a 370 year old cypher). Super cool way to use Claude https://t.co/0fgTdITSfO

Dario Amodei makes clear that slowing AI down does not mean Anthropic will stop releasing more advanced models. CBS: “Does that then mean that Anthropic is going to stop releasing more advanced models?” Dario Amodei: “It doesn't mean that. What it means is that we need to make sure that every generation of models that we release is properly tested.” ---- From "CBS Sunday Morning" YouTube channel, (full video link in comment)

The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot. We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors). Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process. Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases. We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these. When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs. Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring. Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.

卧槽！what can I say？！这是真狠啊！ 用【GPT-6 + Images 2.5】做视频的【风格逐帧转绘】，能做到这样的稳定性和连贯性，牛逼（当然还是存在变形）！ 121 帧，GPT-6 还做了反复修正，用时 40 min ZHGO｜测试系列｜GPT Images 2.5 + GPT-6 https://t.co/3DbQfNda1A

Full interview of Dario Amodei on "CBS Sunday Morning" YouTube channel https://t.co/07tkGgpLYZ

Dario Amodei got personal on CBS about AI’s risks, benefits, and the ridicule he faces on social media over safety. "I feel that this is a technology with great benefits and great risks. My father died of a disease, hepatitis C, that was something like 40% curable when he died of it. He wasn't one of the ones who was cured. A few years after, a medicine was invented that made it 95% curable. I myself survived an early-stage cancer that, if I'd been living in 1950, I probably would have died from. So I feel the weight of bringing the benefits of this technology. I also feel the risks. I wake up every day and, you know, I read one of these threat reports, like someone tried to use our model to build biological weapons. Of course, I don't want to be responsible for that, and that's why we have very strong safeguards. Almost every day, I'm made fun of on social media because our model's biology safeguards are too strong. Biology students complain, and they make jokes that they can't use the model. But the reason for that is that we have strong safeguards. I would rather they make fun of me than wake up one day and discover that someone used our model, Claude, to kill a bunch of people. I don't want that. So I feel both sides of it. I feel both sides of the responsibility." ---- From "CBS Sunday Morning" YouTube channel, (full video link in comment)

The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot. We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors). Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process. Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases. We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these. When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs. Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring. Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.

太 tm 酷了！！！我要给 GPT 加钱！！！ CatMe 猫与我｜ZHGO｜创意系列｜GPT Images 2.5 https://t.co/2oEW6QCabi

Sam Altman just said the unthinkable on his Fotune Magazine interview. OpenAI, Anthropic and Google DeepMind may agree to slow down together rather than race blindly toward more powerful AI. Fortune's Editor-in-Chief Alyson Shontell: "There's only a handful of you guys, you, Dario, Elon, maybe Zuckerberg, Sundar. Why can't you all just get in a room, get some beers, and figure out how to solve humanity? Like, just get on the same page. I know there's beef, but come on." Sam Altman; "I think that will happen." ---- From "Fortune Magazine" YouTube channel, (full video link in comment)