China's Z.AI released GLM 5.2, a 744 billion parameter open-source model with a 1 million token context window under the permissive MIT license.
Snapshot · All-In with Chamath, Jason, Sacks & Friedberg
China's Z.AI released GLM 5.2, a 744 billion parameter open-source model with a 1 million token context window under the permissive MIT license.
Where this was said
At 45:20 · chapter starts 45:12
Debate over whether Dario Amodei engineered Fable's rollback to gain a regulatory moat [1] — Gavin Baker "Anthropic has spent years advocating for an FAA-style approval process for AI. When a jailbreak report from a trusted partner triggered Fab…" 55:37 . David Sacks warns the US is on a shot clock — slowing down won't slow China, which operates outside US jurisdiction.
GLM 5.2 API usage costs are 85% cheaper than GPT-5.5 for comparable performance, making it a highly cost-effective alternative.
The founder of Z.AI told Elon Musk that open-weight frontier-level AI capabilities will be available from China before Q1 2027.
China runs farms of tens of thousands of devices querying Claude and GPT APIs through masked accounts, harvesting every reasoning trace and feeding them back into their own models. This distillation cheat sheet has brought them to within a tick of the US frontier — for a fraction of the cost.
The future is composable models: a router sends 85% of queries to a cheap open-source model fine-tuned on your own data, and only the hardest tasks go to frontier models like Claude or GPT. Open source doesn't kill frontier labs — it shifts economic value to infrastructure and makes the whole system more powerful.
Anthropic has spent years advocating for an FAA-style approval process for AI. When a jailbreak report from a trusted partner triggered Fable to be rolled back, Anthropic got its regulatory moat — while simultaneously getting hoisted on its own petard. The question is whether this was calculated.
Chamath argued that despite China being 24 months behind on silicon and 6 months behind on models, they are only a few months behind in total AI capability.
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
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