New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab

It's been a wild week in AI, and on episode 126 of Mixture of Experts, host Tim Hwang and co-host David Zax talk to panelists Kaoutar El Maghraoui, Gabe Goodhart and Martin Keen to discuss what all these releases have in common: efficiency.

We start with the model release pile-up. Anthropic shipped Claude Opus 5.5, and OpenAI launched GPT-6 Sol and Luna. Opus 5.5 is 20% cheaper than earlier Opus models, while GPT-6 Luna costs half what its predecessor did, at just 10 cents per million input tokens. We look at what a real price war means for developers building on these models and the companies racing to lower costs.

Next, we look at a different idea altogether. TypeSafe AI has introduced "System One" models, starting with Jev, which give up the florid text generation in exchange for fast, structured decisions with calibrated probabilities. The pitch is frontier-level judgment on decision tasks, and responses in hundreds of milliseconds. We weigh the bold speed and cost claims against the company's own caveats about how its benchmarks were built.

Finally, we leave the chat window entirely. NASA and IBM have released an open-source Lunar Foundation Model, free on Hugging Face and GitHub, and trained on roughly 2 million image tiles from the Lunar Reconnaissance Orbiter and other missions. Researchers can fine-tune it to map craters, spot young volcanic features and estimate where polar ice may be stable, proving models can do more than vibe code. All that and more on this week’s Mixture of Experts.

00:00 – Intro

1:05 - Anthropic and OpenAI update AI models

11:10 - TypeSafe AI unveils Jev AI model

29:29 - NASA and IBM build lunar AI model

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