Bala Subra

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Build 2026: Furthering Windows as the trusted platform for development Unmetered intelligence on Windows powered by on-device AI On-device SLMs – Aion 1.0 Instruct: Aion 1.0 Plan, a reasoning & tool-calling model fully local agentic capabilities share.google/DEK1FhXB5JMaf6…

‘AI gravity’ is pulling you toward dependency. Here’s how to push back | MIT Sloan Workers may fall victim to “AI gravity” — the constant pressure to outsource more thinking to AI in order to become more efficient. share.google/RwhupZindxlmlm…

Introducing Rubrics: Build Agents that Evaluate and Correct Their Work share.google/wa9nbi8iMZXHHz…

We’re making Codex more useful for your work by expanding plugins beyond individual tools. These plugins turn Codex into a specialist for a specific role with a single install, no coding required. Codex can access 62 popular apps and 110 skills for work across sales, data analytics, creative production, product design, and public equity investing. openai.com/index/codex-fo…

Building a frontier intelligence ecosystem together. Highlights from my keynote at Microsoft Build this morning.

Workflows are the biggest upgrade to Claude Code’s capabilities since skills and subagents. I dove deep into it with @sidbid to figure out best practices, examples and more.  I’m particularly excited about the non-technical tasks it enables for Claude Code.

Great to be back at Microsoft Build today. For us, it is not about any one piece of technology or even the platform. It is about how we can build a frontier intelligence ecosystem together. Sharing some of our big announcements today ...

Majorana 2 chip using AI-designed lead-based materials, claims 1,000-fold boost on some performance metrics reuters.com/business/micro…

Codex is becoming a productivity tool for everyone | OpenAI share.google/XGlnf6d3NSJxkd…

It’s hard to categorize or evaluate second-brain systems because there’s no single right answer. But I found one useful lens every second brain should be evaluated through: the lifecycle of your data. Collect -> Organize -> Evolve -> Use -> Govern So I made a curated comparison of the existing second brain, AI memory, and knowledge systems, from @claudeai’s memory to @garrytan’s GBrain. It focuses on the full lifecycle: - how scattered context gets collected - how it turns into durable knowledge - how it stays fresh over time - how people and AI tools use it in real work - how users can inspect, correct, delete, export, and trust it If you want AI to understand your personal context, team knowledge, and working history, this might help. PRs welcome, especially from heavy users who’ve actually tried building and maintaining a real second brain. github.com/aristoapp/awes…

Great article on harness engineering. langchain.com/blog/the-anato…

Claude Code 2.1.159 has been released. 1 CLI change Highlights: • Internal infrastructure updated to improve backend reliability and update speed; no user-facing changes Full details available in thread ↓

💡Recent insight: gaslighting @claudeai seems to improve code quality >90% of the time. “You overengineered this, there is a simpler way” “There is a smaller delta that buys us most of the benefits” “There is a more elegant way” “This is not architecturally coherent” …before I even read its code. 😆

Why some Indian tech engineers are losing interest in Silicon Valley share.google/ITUR9Tti5N8QTf…