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MODEL
1 SemiAnalysis launches GDPx, and the top model scores 12%
GDPx is a 206-task agentic benchmark across 11 domains, from chip design and cyber to finance and legal, with each task in a realistic environment. Claude Opus 5.5 leads at 12.0, ahead of Gemini 4 Carbon at 10.9 and GPT-6 Astra at 9.6. Every model scored zero on finance and legal under binary grading.
Why builders care: Models ran in their native harnesses, and SemiAnalysis says safety classifiers drag some scores down, so check the per-domain results for your use case.
An Apache-2.0 CLI and C library for macOS, Windows and Linux that reads the OS accessibility tree instead of matching pixels. A snapshot returns JSON with a ref for every element, the agent acts on a ref, then snapshots again to check.
Why builders care: Snapshots and screenshots can hold private desktop content, so keep them out of public logs.
3 ChatGPT and Codex will share one usage allowance
Starting in December, Plus, Pro and Business plans get a single token-based allowance across ChatGPT and Codex. Bigger models and harder tasks use more, and Instant chat doesn't count. Combined usage and reset times will show in Settings → Usage.
Why builders care: A long Codex session will now eat into your chat budget. OpenAI hasn't published the allowance sizes yet.
4 Aura Autopilot: an open-source agent that playtests your game
Ramen open-sourced Autopilot under Apache 2.0. It runs as a plugin in Unreal Engine 5.4-5.8, Unity 6 and Godot 4.7+ on Windows and macOS, uses a coding agent to write a control harness for your game, then plays it with real inputs and writes a test report. It works with your Aura plan, your own API keys, or Claude Code and Codex.
Why builders care: Setup asks whether to share your runs with Ramen. Decide before you point it at an unreleased game.
5 Repo of the day: DeepSeek's dsh-superagent-prototype
An MIT-licensed proactive coding agent for one GitHub repo. It listens to GitHub (and optionally Feishu), opens a work item per request, works in its own session and directory, and answers in the same thread, for example with a pull request. DeepSeek calls it research code, not an official product.
Why builders care: Even if you never run it, its rule of acting only when asked or when a team rule allows it is a good spec for any team agent.
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