GPT-5.6 基准测试进展分析：环境驱动与长程控制增强

You can learn a lot about models by looking at how they progress on benchmarks.

GPT‑5.6 looks like the same general base as GPT-5.5 with a substantially stronger environment-grounded, verifier-driven, long-horizon controller, targeted especially toward cyber, computer use, scientific workflows and ML research, together with a modest general uplift and possible efficiency distillation.

Percentages of math, code, cyber or scientific data going into post-training in GPT-5.6 vs GPT-5.5 can also be roughly estimated with a good (but expensive) probing.

There's so much we don't know about LLMs and reverse engineering them is one way to shed some light. Math Interpretability is real.