Summary
A hobbyist questions whether ongoing AI research is significantly improving LLM reasoning capabilities, observing that top commercial models like Opus or Codex don't seem to offer much better reasoning than open-source alternatives, with the main difference being in coding. They speculate that major players invest heavily in pre-training and synthetic data generation, which might be key research areas. The post seeks clarification from AI researchers on this observation.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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