Efficiency Hallucination: Every Model Rewrote Code That Couldn’t Get Faster
A Columbia paper found LLMs edit already-optimal code 100% of the time. One prompt line halves it with zero false refusals. I reproduced it and…
A Columbia paper found LLMs edit already-optimal code 100% of the time. One prompt line halves it with zero false refusals. I reproduced it and…
A Stanford paper finds API benchmark scores run 3.4 points higher than the same models in their chat apps. What that means for how I…
GPT-6 Astra scored 62.7% and 99.9% on ARC-AGI-3 with the same weights. The harness made the difference, and that should change how you evaluate your…
My LLM evaluation tools said the agent was fine. Two long-horizon benchmarks explain why it fell apart in week three, and what I test differently…
A new paper tested 8 reasoning models with 14 formatting perturbations. Open-weight models lost up to 55% accuracy. Here's what that means for production use.