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If you still think AI agents can't do real research, this paper will end that argument. Researchers from Google and Meta built a framework where Claude Code proposes its own algorithms for making LLMs reason better, then tests them, then refines them based on what failed. No human in the loop after the environment is set up. In 5 rounds the agent discovered a controller with 4 coordinated mechanisms working together. EMA momentum stopping. Coupled width-depth control. Alignment-aware depth allocation. Conservative branch abandonment. The paper says directly: "a level of coordinated complexity that would be difficult to arrive at through manual intuition alone." That's a polite way of saying the agent built something a human probably wouldn't have. The cost of the entire discovery was $39.90. The cost of one researcher's coffee budget just outperformed years of hand-tuned work. Paper is from Google and Meta. Read it here: https://t.co/UtbbwO7ITR