Category: RL & Post-Training
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Week 22, 2026 — Physics, Science & Engineering AI
AI for science delivered deep insights this week — from understanding how weather models actually work, to certified physics-compliant materials generation, to real-time nuclear reactor surrogates. The Hidden Physics of AI Weather Models George Craig and colleagues asked a fundamental question: are AI weather models solving physical equations? By computing Centered Kernel Alignment correlations, they…
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Post-Training Is the New Pre-Training: Why RL Training Loops Are Reshaping AI in 2026
51 papers analyzed | May 2025 – May 2026 — If you think the biggest AI breakthroughs come from bigger models trained on more data, you’re looking in the wrong place. The most important AI research of 2025–2026 didn’t happen during pre-training. It happened after — in the post-training phase where models learn to actually…