not much happened today.

**OpenAI** launched **GPT-5.2-Codex** API, touted as their strongest coding model for long-running tasks and cybersecurity. **Cursor** integrated GPT-5.2-Codex to autonomously run a browser for a week, producing over 3 million lines of Rust code. **GitHub** incorporated it into their code tools, easing enterprise adoption. Discussions highlight the importance of review loops in agent systems and debate evaluation metrics for coding models. **OpenAI** partnered with **Cerebras** to improve inference speed and latency, with Cerebras serving **GLM-4.7** at 1,445 tokens/sec and low latency. Provider benchmarking reveals tradeoffs in throughput, latency, and context window sizes. **Modal** shared operational scaling insights for self-hosted inference fleets of 20k GPUs, focusing on batch inference optimization with **vLLM** and FlashInfer backend. This reflects a focus on inference infrastructure, long-horizon autonomous agents, and coding model evaluation.