Skeptical take: OpenAI can't train large models, pivots to RL and inference
teortaxesTex · x · 2026-09-04
Quoting LinQingV's observation that AI scaling is shifting from storing intelligence in ever-larger models to extracting more from fewer parameters via compute-intensive inference, user teortaxesTex offers a pessimistic read: OpenAI simply cannot train a large model right now, gave up, and doubled down on RL — yielding mediocre knowledge scores but a leap in intelligence.
An unverified but widely relatable take in the ongoing scaling-bottleneck debate.
Related event: Debate Swirls as OpenAI Shifts to RL and Inference; Netizens Mock AGI Hype(2 posts)→
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