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Madhu Guru更新于 10月21日 22:46

Madhu Guru:安全是 AI 产品的特性而非外部护栏

Safety and security are * features * of your AI product and model - not guardrails that need to be imposed on you from the outside. https://t.co/jtN3rzdZV8

AI 导读

安全与保障是你的 AI 产品和模型的 * 特性 *——而不是需要从外部强加给你的护栏。https://t.co/jtN3rzdZV8

引用

Mark Zuckerberg

@finkd

Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens. The reality is: - People won't want to use agents that are misaligned with them…

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Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens. The reality is: - People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned. There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind. - Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well. Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built. - Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators. - Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well. I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.

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Safety and security are * features * of your AI product and model - not guardrails that need to be imposed on you from the outside. https://t.co/jtN3rzdZV8

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Madhu Guru