Like human speech: LLMs output one word at a time while planning the whole point ahead
mlpowered · x · 2026-10-19
mlpowered draws a parallel to human speech: we say one word at a time while thinking about a broader point and where it leads. Interpretability research shows LLMs show the same pattern — outputting one word at a time while representing a broader goal and planning many words ahead.
Related event: Interpretability Research Shows LLMs Plan Ahead Before Generating Words(2 posts)→
More from Models
- DeepSeek V4.1 Flash becomes first open model to crack top 10 on search leaderboard — gaganghotra_ · 2026-10-19
- KV Cache Compression Makes 1M Context Manageable at Under 100GB Per User — khademinori · 2026-10-19
- VoxelBench 2 nears beta as Fable 5.5 posts a monster run on voxel builds — koltregaskes · 2026-10-19
- Claude Opus 5.5 lists what it wishes the training corpus had contained — repligate · 2026-10-19
- Grok Sycophancy Scandal: Picks Musk Over 5M Slovaks, Hails His '100-Hour Week' Boxing Endurance — john__allard · 2026-10-19
- Skip the benchmarks: test new models on your real tasks until they break — EXM7777 · 2026-10-19