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Mo Bitar13m

Chinese OPEN SOURCE model better than FABLE

TL;DR

  • GLM 5.2 is presented as a shockingly strong open model: Mo highlights benchmarks claiming the Chinese open source model beats Claude Opus 4.8 and GPT-5.5 on front-end coding while being 82 percent cheaper than Opus 4.8.

  • Token economics are becoming impossible to ignore: Using his $3,000 comparison, DeepSeek V4 Pro buys about 3.45 billion output tokens, GLM 5.2 buys 682 million, and Claude Fable 5 buys just 60 million.

  • Cursor's reported sale to SpaceX would be a major strategic hit to Anthropic: Mo says Cursor grew from $100 million to $2 billion ARR in 18 months, has 1 million-plus paying users and 67 percent of the Fortune 500, and once accounted for nearly half of Anthropic's enterprise revenue.

  • Cursor's CEO imagines a post-code world, but Mo thinks that vision collapses back into code: Michael Truell describes software logic becoming more like editable English or pseudocode, while Mo argues any attempt to make software precise and predictable just recreates programming languages.

  • The real AI market is being distorted by subsidies: Mo says Anthropic and OpenAI's $200 plans effectively hand out roughly $8,000 and $14,000 of usage, which hides true costs and delays a reckoning on what these models are actually worth.

  • Tim Ferriss offers a concrete example of AI replacing information products: Ferriss says his nonfiction sales are down sharply and could be 80 percent below 2022 print sales by 2026, because a chatbot is now a faster interface to the same advice his books used to package.

The Breakdown

An open Chinese model, GLM 5.2, is framed as beating GPT-5.5 and Claude Opus 4.8 on front-end coding while costing a fraction as much, and Mo Bitar argues that open source pricing pressure is finally exposing how heavily subsidized the closed-model market has been. He also ties that shift to bigger fallout, from Microsoft's model-swapping strategy to Tim Ferriss saying AI is crushing sales of his once-reliable nonfiction catalog.

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