What Is Reasoning
Read OriginalArmin Ronacher explores the concept of reasoning traces in AI models, explaining that they are just text generated into a scratchpad before the final answer. He discusses how reasoning effort is controlled via system prompts rather than sampling properties, and how models are trained to keep reasoning hidden. The article also covers techniques to extract or leak these traces, and the implications for model transparency and safety.
0 comments
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Limit token usage in Microsoft Agent Framework
Jesse Liberty
•
1 votes
2
How to Roll Back AI Agents: Incident Response, Circuit Breakers, and Recovery Patterns
Paul Bryant
•
1 votes
3
Avoiding Reasoning Model Failures with Microsoft Foundry
Luke Murray
•
1 votes
4
When Your AI Agent Lies: Silent LLM Fallbacks
Luke Murray
•
1 votes
5
Adding a custom MCP server to Claude and ChatGPT
Simon Willison
•
1 votes
6
Testing AI prompts and comparing models with promptfoo
Tim Deschryver
•
1 votes
7
Superlogical
Mitchell Hashimoto
•
1 votes