## 🔍 Key Insights **GPT-5.3-Codex** has officially launched across OpenAI’s **Responses API** and **OpenRouter**, delivering **3–4× higher token efficiency**, and achieving top performance on multiple programming benchmarks—including Terminal Bench. Meanwhile, **Anthropic** has introduced **Claude Code Remote Control**, alongside its new **RSP 3.0 Responsible Scaling Policy**, while **OpenAI** and **Perplexity/Comet** are advancing next-generation agent interaction via **WebSocket acceleration** and the **gpt-realtime-1.5** model, respectively. ## 🚀 Highlights - **GPT-5.3-Codex Now Generally Available**: OpenAI has released the model to all developers via the Responses API, enabling high-precision coding and intelligent agent task orchestration. - **GPT-5.3-Codex on OpenRouter**: As a cutting-edge agent programming model, it is now accessible to third-party platform developers through OpenRouter. - **Claude Code Introduces “Remote Control”**: Enables seamless terminal session handoff across devices (desktop ↔ mobile); the `claude rc` command is now available in research preview for **Claude Max users**. - **OpenAI Responses API Adds Native File Support**: Now natively parses **docx, pptx, csv,** and **xlsx** files—significantly improving document context retrieval accuracy. - **Perplexity & Comet Launch Upgraded Hands-Free Voice Mode**: Powered by OpenAI’s new **gpt-realtime-1.5**, tool invocation stability improves by **25%**, with full-browser hands-free control support. - **Notion Workers™️ Alpha Released**: Notion introduces programmable CPU infrastructure, providing a runtime foundation for custom AI agents within the Notion platform. - **OmniDocBench Evaluation Framework Called for Reform**: Jerry Liu argues that current document-understanding benchmarks have become **saturated and overfit**, urging a shift toward semantic correctness–driven evaluation standards. - **Anthropic Releases RSP 3.0 and Security Resource Center**: Updates its “Responsible Scaling Policy,” consolidating all safety commitments, historical reports, and compliance practices to strengthen AI safety transparency.