Sam Altman tells CNBC why OpenAI scrapped latest Astra model

I I would put this in like the normal course category um you know, often we build a model, we test it, it doesn't meet our standards, we change it, we launch it later. Uh but as we have talked about, we are pacing our progress, which includes sometimes not training a model. Um the Everybody wants great models. Well, actually not everybody. Many people want great models. We want great models. Um but we have to do these in a way where we can make very confident safety cases and claims so that people don't have a bunch of anxiety and can rely on us for the models we're putting out into the world. Um We are now in a period where the models are getting so good so fast that we think it is prudent and wise to make more progress on since we're talking about safety, alignment, monitoring, so that we can continue with progress. But I think this idea of pacing is really important. It's not just like stop it because, you know, we don't want smarter models. Of course we want better models. It is make sure that we improve the areas we need to confidently and safely continue with progress.