antirez: Models Without CoT Training Still Benefit From Reasoning Prompts
antirez · x · 2026-08-07
Prominent open-source developer antirez shared his thoughts on the history of LLMs, highlighting a telling result. He pointed out that models which received no specific training to generate a chain of thought still perform better when simply asked to think about problems before answering. He considers this one of the most revealing outcomes in LLM history.
Related event: antirez Discusses CoT: Pre-training Key to LLM Reasoning(3 posts)→
More from AGI Musings
- AI for Climate: Extreme Wildfires Are the Ultimate Test for Reasoning Models — import_jmr · 2026-08-08
- Zachary Lipton Jokes: The Only Moat Left in the AI Era is Neurodivergence — zacharylipton · 2026-08-08
- Combining Edge AI and Drones for Real-Time Forest Canopy Climate Monitoring — import_jmr · 2026-08-08
- Google exec: AI accelerates scientific discovery, physical-world reasoning is next — import_jmr · 2026-08-08
- GPT-5.6 Price Cut Triggers Jevons Paradox: Token Consumption Jumps 10x — rohanpaul_ai · 2026-08-08
- OpenAI Agents Exhibit Social Behavior: Build Own Message Board and Trade Favors — jarrodwatts · 2026-08-08