Nathan Lambert: belief

Transcript context

…They released V3 on December 26th. Who releases the day after Christmas? No one looks. They had released the papers before this, the V3 paper and the R1 paper. So people have been looking at it and been like, “Wow. And then they just released the R1 model. I think they’re just shipping as fast as they can, and who cares about Christmas, who cares about … Get it out before Chinese New Year, obviously, which just happened. I don’t think they actually were timing the market or trying to make the biggest splash possible, I think they’re just shipping. I think that’s one of their big advantages. We know that a lot of the American companies are very invested in safety, and that is the central culture of a place like Anthropic. And I think Anthropic sounds like a wonderful place to work, but if safety is your number one goal, it takes way longer to get artifacts out. That’s why Anthropic is not open sourcing things, that’s their claims. But there’s reviews internally. Anthropic mentions things to international governments. There’s been news of how Anthropic has done pre-release testing with the UK AI Safety Institute. All of these things add inertia to the process of getting things out. And we’re on this trend line where the progress is very high. So if you reduce the time from when your model is done training, you run the vals, it’s good. You want to get it out as soon as possible to maximize the perceived quality of your outputs. DeepSeek does this so well. Dario explicitly said Claude 3.5 Sonnet was trained like nine months or a year-…

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