Mateo Costantini

🚨BREAKING: Google DeepMind just dropped a research bomb! It's called AlphaEvolve and it's using LLMs to automatically write better AI algorithms than humans can. No manual tuning. No trial-and-error. No human intuition required. AlphaEvolve treats algorithm source code as a genome → LLM acts as the mutation engine → Proposes semantically meaningful code changes → Auto-evaluates fitness on real game benchmarks → Keeps winners, evolves further Here's the wildest part: The AI discovered a warm-start threshold of iteration 500... without being told the evaluation horizon was 1000 iterations. It found non-intuitive mechanisms humans never would have designed manually. The results? VAD-CFR beats every state-of-the-art baseline in 10 of 11 games tested. SHOR-PSRO outperforms Nash, AlphaRank, and PRD solvers. This is the recursion nobody was ready for AI systems that design better AI learning algorithms than the researchers who built them. Paper dropped February 2026. Link in first comment.