Cheeky Pint: ‘Muse Wonder: Zuckerberg and Wang’s $100B AI’ (interview transcript)

Published Oct 12, 2026, the day Muse Wonder launched; just over two hours (the last chapter starts at 02:08:11). Chapters: Muse’s breakout use cases; Why the model is the product; Meet Muse Wonder; How frontier models are actually built; Betting $100B; Agentic commerce; OpenRouter; Beyond the smartphone; Funding; Why AI won’t be winner-take-all; Meta Superintelligence Labs (MSL); Working for Mark Zuckerberg. The video is in the dataset as cheeky-pint-zuckerberg-wang-muse-wonder.

Main first-hand claims (short quotes from the published transcript, which is machine-made in places):

• Codenames: “Avocado was the code name for the Muse Spark line, and then Watermelon was the code name for this one. And we’re out of fruits now.” (Zuckerberg)
• Timeline: “we’ve planned Muse Wonder since last August” (Wang); Wonder is “the next pre-train”, “significantly bigger” than Spark; pre-training “has been done for a bit” (Zuckerberg).
• Team: “The research team is less than 200 people ... It’s closer to 100, right? And then there’s a bunch of infra folks.” (Zuckerberg)
• Cost: “to operate a gigawatt a year, call it on the order of $15 billion”; building it “$50 or $60 billion” (Zuckerberg). Wang: “tens of billions of dollars is a good estimate” for training a frontier model.
• Compute: Prometheus in Ohio is “scaling to larger than a gigawatt”; Hyperion in Louisiana “is going to scale to 5 gigawatts”.
• The bet: at the end of 2025, “we haven’t seen the models yet ... we’re going to write this check for, like, I don’t know, like $100 billion, $200 billion. I’m like, Alex, are you sure this is going to work?” Wang says “Susan Li, our CFO” kept pulling him aside: if it failed, “it’s going to be very, very bad in financial terms”. Zuckerberg: “in order for it not to work out, it’s not just that we have to fail, AI overall has to fail.”
• Availability: Wonder “will also be available via API, on the Meta Model API and OpenRouter ... And then Muse Wonder Full will be available to subscribers of Muse Code” (Wang); in Muse, “we’re going to start off primarily in paid subscriptions” (Zuckerberg).
• Next: “at some point not too far from now, have a model that is as good as Wonder, but in the Spark form factor”; “the time between each subsequently bigger class of models, I think will now start to compress”; a version number comes “when we have our first dot release”.
• Safety: Wang says RL environments were curated to drive “more aligned behavior”; Zuckerberg prefers “a diversity and ... checks and balances” over “a couple of good models that are only in a couple companies’ hands”. Wang: “distillation is quite a good force for the entire ecosystem”.
• Agentic commerce: Wang calls Muse “one of the first products where ... people are fully delegating purchases to the agents”.
• No user numbers, prices or dates for the next model are given.