AutoTTS Cuts LLM Token Usage by 69.5% with AI-Designed Reasoning Strategies
Researchers from Meta, Google, and several universities have released AutoTTS, a framework that automatically discovers optimal test-time scaling strategies for LLMs. In tests on Qwen3 and DeepSeek models it cut token consumption by 69.5% without accuracy loss, with the discovery process costing just $39.90.
