When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems
April 16, 2025
In a Nutshell
Microsoft Research finds that inference-time scaling methods for large language models don’t universally improve performance. Varying benefits, token inefficiency, and cost unpredictability challenge assumptions. Verification mechanisms enhance model accuracy. Brute-force scaling has limits; conventional models can match reasoning models on simpler tasks but struggle with…
