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We're Learning Backwards: LLMs build intelligence in reverse, and the Scaling Hypothesis is bounded
Reddit r/artificial / 4/13/2026
💬 OpinionIdeas & Deep AnalysisModels & Research
Key Points
- The piece argues that current learning/“intelligence” building processes for LLMs may be occurring in a reverse or non-intuitive way compared with traditional notions of skill acquisition.
- It discusses the Scaling Hypothesis and claims its effectiveness is bounded, implying diminishing returns or limits rather than unlimited performance gains.
- The argument centers on interpreting what LLM training reveals about intelligence formation, capacity, and generalization rather than only reporting benchmarks.
- It frames ongoing model development as constrained by theoretical and empirical factors, suggesting future progress may require new approaches beyond scaling alone.
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