K3's Reasoning Style and Decoding Performance
teortaxesTex · x · 2026-07-18
K3's "thinking" style has been criticized for over-deducing, but it successfully handles tests like double-layer base64 decoding with full error correction.
The author finds the test "cute" and draws a comparison: Sonnet 3.5 achieves similar performance without CoT, implying that such capabilities might not entirely depend on explicit reasoning chains.
Related event: Kimi K3's Reasoning Style and Decoding Skills Highlighted(2 posts)→
More from Models
- DeepSeek cut KV cache per token from 389KB to 890B in two years as open-closed gap debate rages — teortaxesTex · 2026-10-27
- Unverified: fable 5.5 speculated at 4-5T parameters to outscale 1-3T Opus — haider1 · 2026-10-27
- Kimi K3 Is 'Open' Until You Succeed: License Caps Free Use at $20M Revenue — alex_verem · 2026-10-27
- Screenshot shows 'GPT-6 Astra Ultra' in ChatGPT model picker — unverified leak or joke — justalexoki · 2026-10-27
- DeepSeek Safety Eval Finds "Over-Attribution": Model Mistakes Ordinary Tasks for Tests — Much_Boysenberry9124 · 2026-10-27
- Custom VQA benchmark under 48GB VRAM: Qwen3.8-Flash-Next leads, Qwen3.8-27B regressed — EmilPi · 2026-10-27