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Physical experiments function as verifiable reward signals, creating a new scaling axis for AI post-training that bypasses the limitations of static internet datasets.

Impact: Enables continuous model improvement with high-fidelity data, reducing reliance on synthetic benchmarks and accelerating scientific discovery cycles.

— from AI Science Factories: Scaling Discovery Beyond the Internet · Latent Space: The AI Engineer Podcast· Jul 16, 2026