General Model Wins ICPC via Deliberation

Updated: 2025.09.17 1M ago 1 sources
Google used the same general Gemini 2.5 model found in consumer apps, not a custom‑trained contest version, and simply enabled extended 'thinking tokens' over the five‑hour window. With more test‑time compute for deliberation, it solved 10 of 12 problems—earning a gold medal alongside only four human teams. This suggests runtime reasoning budget can substitute for bespoke training to reach elite performance. — If test‑time compute can unlock top‑tier problem solving, governance, cost, and safety may hinge as much on runtime inference budgets as on model training.

Sources

Gemini AI Solves Coding Problem That Stumped 139 Human Teams At ICPC World Finals
BeauHD 2025.09.17 100% relevant
Google says Gemini 2.5 was 'enhanced' only to churn thinking tokens for the entire contest and then achieved a gold‑level result.
← Back to All Ideas