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Nathan Lambert shares practice recording on how open models can win

1 reports 1 reporting sources Updated 6 hours ago

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Nathan Lambert shared a practice recording of his “How Open Models Win” talk, arguing that open model builders can shape the industry’s economics by sharply lowering inference costs for specialized, repetitive tasks. He said they should focus there rather than try to beat frontier labs on cost for general agents. The recording was a practice version for Fireworks Forge 2026 in San Francisco; Lambert said the talk at the event would include improvements.

Generated by AI from reports · Updated 3 hours ago

Latest development11/3 05:34 (UTC+8)
Nathan Lambert Explains How Open Models Can Win on CostNathan Lambert · X

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11/3
  1. Nathan Lambert · X
    Nathan Lambert Explains How Open Models Can Win on Cost

    Nathan Lambert gave a talk on the open model economy, arguing open model builders should steer industry economics to avoid being swallowed by OpenAI and Anthropic. He says this depends on driving inference costs down dramatically on specialized, repetitive tasks rather than competing with frontier labs on cost in general agents. The talk covers open model usage, proximity to the frontier, mapping the open model economy, and how open models win.

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