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ChatGPT Deep Research Adds GitHub Connector
Apple Developing Custom Chips
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ChatGPT Deep Research Adds GitHub Connector
OpenAI has launched a GitHub connector for ChatGPT's deep research tool, allowing users to analyze codebases and engineering docs directly from repositories. It's the first connector for deep research, the feature that compiles reports across the web and files. This week, GitHub integration rolls out to ChatGPT Plus, Pro, and Team users, with Enterprise and Edu support to follow. Once linked, ChatGPT can summarize code structure, break down specs into tasks, and show API usage using actual code examples.
“It’s something users have asked for constantly,” OpenAI Head of Business Products Nate Gonzalez wrote on LinkedIn. The connector honors GitHub permissions and only reads content that’s been explicitly shared. The update is part of a broader push into developer tools. OpenAI recently released Codex CLI, upgraded its desktop app to support dev environments.
In parallel, OpenAI added fine-tuning for its o4-mini and GPT-4.1 nano models. Only verified orgs can fine-tune o4-mini, using reinforcement fine-tuning, a technique that optimizes performance using task-based grading. GPT-4.1 nano tuning is open to all paying devs.
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Apple Developing Custom Chips
Apple
Apple is developing a range of new chips for smart glasses, AI servers, and future Macs, signaling deeper investment in custom silicon. The glasses chip, based on Apple Watch tech, is designed for energy efficiency and camera control. Mass production is targeted for 2026–2027. The project, called N401, reflects a shift from AR-first concepts to more practical, Meta-style smart glasses. Apple is also working on AI-driven versions that scan surroundings and use on-device AI for contextual assistance. User tests were conducted last year, and CEO Tim Cook is said to be pushing to outpace Meta in the wearables race.
Alongside, Apple is prepping new Mac chips—M5 (due later this year), M6 (Komodo), and M7 (Borneo), plus a higher-end chip, Sotra. The AI server chip project, dubbed Baltra, would be Apple’s first designed for large-scale inference and could feature up to 8x the cores of current Mac silicon. The company is also developing chips for camera-equipped AirPods and Apple Watches (code names Glennie and Nevis), targeting 2027. These would support AI features similar to what’s in the iPhone’s Visual Intelligence. Apple’s silicon roadmap also includes next-gen modems (C2, C3) and even long-term health-focused sensors like noninvasive glucose tracking, all under the hardware tech team led by Johny Srouji.
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