Researchers Clash Over Whether AI Has Already Solved 'Intelligence'

On October 28, a debate erupted in the AI research community over whether frontier models have substantially solved the "intelligence problem." It was sparked by one developer's bold claim: based on a recent series of results, OpenAI's internal models are already smart enough to solve the vast majority of problems people care about—the "intelligence" part is done, and what remains is just engineering work like proper integration and data collection.

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Why it matters

The debate reflects the polarized assessments of frontier model capabilities in today's AI community: one side believes model intelligence has crossed a critical threshold and the rest is engineering; the other, drawing on hands-on research and development experience, argues models still systematically fail on genuinely novel designs and frontier mathematics. Notably, both sides cite the performance of "internal/unreleased models" as evidence, showing that the capability gap between publicly available and frontier internal models is itself a point of contention. For judging progress toward AGI, such negative feedback from practitioners deserves as much attention as optimists' claims.

2026-10-28 ~ 2026-10-28 · 5 related posts

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