OpenAI's first gadget is the $230 Codex Micro macropad
OpenAI's first hardware is a $230 macropad built with Work Louder. The Codex Micro's Agent Keys light up to show what your coding agents are doing.
/AI News/Issue 159
A sneak peek of OpenAI's first gadget
Published Tuesday, July 21, 2026
OpenAI's first hardware is a $230 macropad built with Work Louder. The Codex Micro's Agent Keys light up to show what your coding agents are doing.
Microsoft CEO Satya Nadella criticized Anthropic’s Claude Fable safeguards, arguing that unpredictable refusals and model-switching make the tool overly “editorially controlled.” Speaking to Copilot engineers, he said enterprises should be able to customize AI with proprietary data while retaining control, rather than accepting restrictions imposed by foundation-model providers.
Researchers show attackers may poison future language models by mass-posting malicious text through ordinary web comments. Their HalfLife analysis tracks whether injected content survives crawling, extraction and filtering into training corpora. The work suggests public discussion systems could become an overlooked supply-chain attack on AI models before training even begins.
SearchOS gives teams of AI search agents a shared memory for tasks, evidence, coverage gaps and failed attempts. Instead of repeatedly searching the same dead ends, agents work in parallel while middleware tracks progress and citations. On two benchmarks, the system outperformed single- and multi-agent baselines while improving search efficiency.
Are you still wondering what the point is of custom instructions and skill files? Or how to use them in the best way? Let's find out through live demos. In this session, we’ll see how GitHub Copilot can support our workflow in Visual studio Code. You may have seen the highlights before, so we’ll focus on what matters: how to get consistently better results, instead of feeling like you’re explaining your code to a toddler. Because when you give GitHub Copilot the right instructions, it will become a tool that actually saves time, comes up with options you might miss, and occasionally surprises you in a good way.
OpenAI demonstrates how Codex now handles more of the software-development lifecycle: investigating issues, planning changes, writing and testing code, and preparing review-ready pull requests. The update emphasizes longer-running, parallel agent workflows, deeper project context, and stronger developer control, helping teams tackle routine fixes, complex refactors, and migrations faster.
Modernize .NET applications in the GitHub Copilot app. Follow your upgrade from assessment through execution in an interactive upgrade canvas.
In this blog, we will learn about how Chain-of-Thought (CoT) Prompting works. We will also see why a model that jumps straight to the answer often gets it wrong, how making it reason step by step fixes this, the difference between zero-shot and few-shot CoT, and where this technique is truly useful.
From local meetups to full-day conferences, the Global AI Community brings developers, architects, founders, and AI enthusiasts together to learn, build, and connect. Discover hands-on workshops, expert talks, community gatherings, and flagship events like AgentCon, AgentCamp, and Global AI Construct. Whether you are exploring AI for the first time or building production-ready agentic systems, you will find opportunities to sharpen your skills, meet like-minded people, and become part of a thriving global community.
Codex Bootcamp is a live OpenAI Academy series for technical builders and engineering teams looking to use Codex more effectively across real development workflows. Explore the 101, 201, and 301 sessions and register for the levels most relevant to you.
Cal Newport examines Anthropic’s research into a hidden “global workspace” inside Claude, asking whether internal representations amount to private thought. He explains the mechanics behind the findings, separates intriguing evidence from consciousness hype, and argues that the work reveals something important about model computation—without proving that Claude is secretly thinking.
The AI links worth your time, curated by the community and always free.