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https://t.co/1Zp3Skkv39

Dario's essay points towards the right path forward. The details need working through, but the direction is correct for meeting this critical moment. This is also why we recently put out our proposal for an industry-wide standards body for frontier AI. https://t.co/Mm1hmcaSmH https://t.co/sESEDGELmj

Alignment is fundamental to delivering personal superintelligence for everyone. People need agents they can trust to reliably do what they ask. MSL is rapidly scaling up the share of our efforts that goes into alignment as our models become more powerful. We do believe alignment can be the gating factor for scaling as we get closer to the frontier.

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.”

I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon. https://t.co/1YhhIybZX7