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**OpenAI** expanded its **Daybreak** program with the **GPT-5.5-Cyber** model, focusing on closed-loop patch generation for cybersecurity, scanning over 30 million commits and covering major projects like cURL and Python. The release sparked debate on policy and export controls, contrasting with **Anthropic**'s restricted **Mythos/Fable** access. **Sakana Fugu** introduced an orchestration API that learns model selection and delegation across multiple models, but faced criticism for opaque baselines and cost reporting. Meanwhile, **GLM-5.2** is gaining attention as an open-weight model suitable for agentic applications and infrastructure adoption. *"The notable shift is from 'find bugs' to closed-loop patch generation with human review"* and *"test-time coordination can beat monolithic calls on long-horizon tasks"* highlight key technical insights.
Read original at AINews / smol.ai →