Why We Think

·Lilian Weng··

Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) and Chain-of-thought (CoT) (Wei et al. 2022, Nye et al. 2021), have led to significant improvements in model performance, while raising many research questions. This post aims to review recent developments in how to effectively use test-time compute (i.e. “thinking time”) and why it helps.

Read full article →

Related Articles

Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 3d ago
ProgramBench: Can language models rebuild programs from scratch?
jonbaer · Hacker News · 1d ago
ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parameters
steveharing1 · Hacker News · 1d ago
OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 6d ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 6d ago