Ex-Anthropic researcher Coxon says Mythos could be retrained with far less compute
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Jacob Coxon, a former OpenAI and Anthropic researcher, says a slide from Anthropic's IPO roadshow was a major reason he left the company after about four months. The chart plots the pre-training compute multiplier for code over time on a logarithmic y-axis; Coxon argues the steep climb from July 2024 to October 2026 indicates superexponential algorithmic progress. On that basis, Coxon says Anthropic could already retrain its Mythos model with a fraction of the compute originally required. The claim is his interpretation of the chart, not a result Anthropic has confirmed.
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- The DecoderEx-Anthropic researcher Coxon says Mythos could be retrained with a fraction of the original compute
Jacob Coxon, a former OpenAI and Anthropic researcher, says a slide from Anthropic's IPO roadshow was a major reason he left the company after about four months. The chart shows the pre-training compute multiplier for code over time on a logarithmic y-axis, and Coxon argues the steep climb from July 2024 to October 2026 points to superexponential algorithmic progress, adding that Anthropic could already retrain its Mythos model with a fraction of the compute originally needed.
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