Top models may already be smart enough for RSI, but data and compute still block self-improvement
bookwormengr · x · 2026-07-26
The post argues that today’s top models may already be smart enough for RSI, and that the real bottlenecks are not intelligence itself but data and compute.
- The author claims current models are at least as intelligent as the best young AI researchers.
- He says many of the field’s biggest ideas have come from very young researchers, not veterans.
- He argues there is no deep theory of deep learning; the field is mostly an experimental collection of tricks.
- In his view, models are not improving themselves because better models require more and better data plus more compute, and both face real-world constraints.
- The quoted reply frames the strategic implication: if RSI is close, intelligence becomes economically and geopolitically decisive.
Related event: Exploring the Path to AGI via AI Recursive Self-Improvement(11 posts)→
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