Critics say Prism's Bonsai models are benchmaxxed: sub-2-bit compression breeds brittle slop
teortaxesTex · x · 2026-09-19
- Quoted post claims Prism's Bonsai family is the most benchmaxxed model line yet: strong benchmark numbers but far weaker than the originals, prone to irrecoverable overthinking loops, and delivering "broken slop."
- teortaxesTex generalizes: all extreme-compression (≤2-bit) post-trained models either heal compression damage with benchmark data or get evaluated only on narrow benchmarks, producing brittle benchsolvers — he dismisses the entire category.
- A useful counterweight to hype around tiny quantized models claiming flagship-level performance.
More from Models
- ChatGPT Pro 20x plan back on sale after OpenAI's capacity pause — mark_k · 2026-09-19
- OrukLabs launches Resonance-2 with 31 emotion and speaking-style signals from audio — ChrisGPotts · 2026-09-19
- OpenAI launches Astra for Law; lawyer slams ZDR privacy promises as unverifiable — bgmshana · 2026-09-19
- Noam's Actual Quote: Multi-agent Credited Less Than 10% for Math Breakthrough — eliebakouch · 2026-09-19
- LLM logprobs as soft classifiers: a year-old idea finally validated — JnBrymn · 2026-09-19
- Jev benchmarks: matches production classifiers on fixed-label tasks at ~100x lower cost — ivan_bezdomny · 2026-09-19