Nathaniel Whittemore

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But it should also be noted that ultimately those most skeptical takes are not the majority.

Most people's response is basically that Anthropic has earned the benefit of the doubt and the trust when it comes to things like what they say the benchmarks are, and so they're trying then to understand what the implications of a model this powerful existing really are.

A16Z's Martin Cassato writes,

Mythos appears to be the first class of models trained at scale on Blackwell's, then will be Vera Rubin's.

Pre-training isn't saturated, reinforcement learning works, and there is so much computing coming online soon.

Box's Aaron Levy writes, Mythos from Anthropic is another clear reminder that there is absolutely no wall in model capability progress right now.

Meaningful double-digit gains on critical benchmarks, and it appears we're going to keep getting insane gains from the other labs.

The capability slope we're going to keep seeing from the frontier labs is going to open up all new use cases in finance, healthcare, legal, consulting, supply chains, and more.

More tongue-in-cheek, former Trump AI advisor Dean Ball writes, Personally, I have really enjoyed relaxing after AI plateaued with GPT-5 last summer.

By the way, when I've said in the past that I think the people who are out there trying to convince others that AI isn't all that powerful are going to do more economic harm than the powerful AI models themselves, this is kind of what I'm referring to.