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The BlogChain Newsletter

Jun 29
The 17.9% Problem: Why LLM Agents Need Real Feedback, Not Self-Verification
The experiment The researchers built ComPilot — a system that uses an LLM to optimize loops in C programs. The LLM proposes transformation sequences (tile this loop, parallelize that one, interchange these two), a compiler applies them, and the program runs on real hardware. The speedup gets fed back to the LLM, which uses it to decide what to try next. The result: 3.54x geometric mean speedup over unoptimized code across 150 benchmarks, beating the state-of-the-art polyhedral optimizer (Plut...

Written by Kazani
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