Reasoning Systems
HoldTechniques
Models that use extended thinking or multi-step reasoning to improve task performance.
Why it's here
Placed in Hold: 2 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 32%.
Evidence (2)
- 6Hacker News·7/25/2026researchARC-AGI Leaderboard Tracks AI Reasoning Efficiency
The ARC-AGI leaderboard compares AI systems across ARC-AGI-1, ARC-AGI-2, and ARC-AGI-3, with a focus on performance versus cost per task. It highlights how different model types, including reasoning systems, base LLMs, and Kaggle submissions, perform under varying compute constraints.
- 5Hacker News·7/4/2026researchGPT-5.5 Codex reasoning token clustering may hurt performance
A GitHub issue reports that GPT-5.5 Codex may be clustering its reasoning tokens in a way that degrades model performance. The discussion on Hacker News suggests this is an observed behavior in the Codex system rather than a confirmed fix or release. The item is currently framed as a potential quality regression affecting model output.