What happens when Claude Code gets an experiment tracker

At CVPR 2026, Lambda ran a live demo for two and a half days: Claude Code teaching Google's Gemma 4 to play a Tetris-like game. Claude Code started with a Gemma 4 model that couldn't play at all. It pressed “down” and lost in seconds. By the end of the demo, the same agent had iterated through...

At CVPR 2026, Lambda ran a live demo for two and a half days: Claude Code teaching Google's Gemma 4 to play a Tetris-like game. Claude Code started with a Gemma 4 model that couldn't play at all. It pressed “down” and lost in seconds. By the end of the demo, the same agent had iterated through hundreds of experiments, trying various board representations, image inputs, prompts, inference settings, and vLLM launch parameters. Slowly but surely, Claude taught Gemma 4 how to play. No human tuned the parameters. No human chose the prompts. Claude Code ran the experiments, tracked what worked, and built on its own results. It ran on GPUs that would’ve have been underutilized otherwise: 468 experiments for zero added compute cost. The tool that made this possible is the_lab.api.

Source: Lambda Labs — Published June 25, 2026 at 14:58 UTC — Category: Models