OpenAI's Post-Training Questioned: Fable Model Praised for Superior Taste
willdepue · x · 2026-08-07
The author argues that OpenAI needs a 'code red' for its post-training methods, claiming their models lack the refined taste and thoughtful output seen elsewhere. They specifically praise the 'Fable' model for being non-slop and exceptionally good at naming.
More from Models
- DeepSeek Sees Traffic Surge with Superior API Cache Hit Ratio — teortaxesTex · 2026-08-07
- Meta's Models Strike Gold in Five STEM Olympiad Competitions — ilkamoi · 2026-08-07
- DeepSeek-V4 Flash Delivers 80% of GPT-5.6 Luna Performance at 1/6 Cost — zainhas · 2026-08-07
- Report: Ilya's SSI Has Started Benchmarking Its First Model — zephyr_z9 · 2026-08-07
- Frontier Labs Pause Over Safety While Open Source Claims to Catch Up — bindureddy · 2026-08-07
- Anthropic Updates Claude Biology Safeguards, Cutting False Positives by 85% — claudeai · 2026-08-07