Rohan Paul (@rohanpaul_ai)T2·Models
78 pts
A new Stanford and Google DeepMind paper introduces TURTLE, which uses AlphaEvolve to mutate saturated tool-use tasks from AppWorld by adding filters, extra steps and hidden lookups, targeting roughly 50% solver success. Gemma 4 31B-it always solved 69% of original tasks, while nearly all 735 evolved tasks landed at 40%-60% completion, and an LLM judge rated 52.5% of evolved tasks hard versus 19.8% of originals.