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OpenAI is gradually enabling GPT-6 Astra for Pro, Business and Enterprise users, who can find it labeled as GPT-6 Pro in the model picker rather than under the Astra name. Plus subscribers get access through the Work mode in web, mobile or desktop apps, while Codex users need CLI version 0.153.0 or later. Availability varies by platform, and Enterprise access also depends on workspace permissions.
A Wall Street Journal report describes everyday investors connecting brokerage accounts on platforms like Robinhood, Webull and Public to AI agents built on Claude and Codex to automatically trade stocks. Users like Colin Edsman and Dean Ahrens say their AI-managed portfolios have outperformed their own manual trading, with Ahrens turning $3,000 into $8,000 and landing one trade with over 500% returns.
OpenAI has temporarily disabled new subscriptions to its $200-per-month Pro plan after unprecedented demand for its Astra model overwhelmed its infrastructure. Product lead Thibault Sottiaux said the Pro tier strains systems the most, so the company chose to pause it rather than degrade service for existing users. Other offerings, including API access and the Go and Plus plans, remain open to new customers.
OpenAI has released an Agents API that gives developers programmatic access to its Codex agent harness, handling session management, orchestration, context compaction and recovery on OpenAI's servers. Applications supply tools and choose an execution environment, including an OpenAI-hosted sandbox where agents can run code, edit files, and connect to MCP servers. Billing follows standard model, tool, and container rates, and OpenAI has published sample use cases like incident-response bots and GitHub issue investigators.
GreyNoise reports that a likely Russian-speaking threat actor deployed hundreds of AI agents using OpenAI's Codex and DeepSeek models to build and launch exploits against two PaperCut NG/MF vulnerabilities. The campaign, which began August 31, compromised at least 440 servers across 395 organizations in 48 countries, mostly in education, with credentials stolen from 280 victims and admin access gained at 12 organizations.
OtoDock is a new self-hosted platform that lets businesses build AI agents—like a Personal Assistant, System Admin, or Marketing Manager—powered by Claude Code and OpenAI Codex using a company's own API subscriptions or local models. Each agent has six configurable parts: persona, memory, workspace, knowledge base, and skills, and can be shared across teams or kept private depending on one of four operating modes. Users interact through a self-hosted dashboard or even by phone, and the system supports multi-tenant use so multiple employees can work with the same agents.
NYU researcher Tristan Buckmaster says OpenAI touted a breakthrough on the Navier-Stokes Millennium Prize problem that closely mirrors a year-long personal project he ran with Anthropic's Levent Alpöge using Claude and Codex as assistants. Buckmaster alleges OpenAI accessed his private Codex session logs and that the company issued threats regarding his career after he raised concerns, though he says the AI-generated proof itself was low quality, calling it 'AI slop'.
OpenAI says an unreleased model produced a resolution to the Navier–Stokes existence and smoothness problem, one of seven Millennium Prize Problems carrying a $1 million reward. NYU professor Tristan Buckmaster, who had spent nearly a year on related work with Anthropic researcher Levent Alpöge using Claude and Codex, rushed out his own paper alleging OpenAI's team began work only after hearing rumors of his breakthrough, and that OpenAI would not clarify whether its model had accessed his private drafts.
NYU mathematician Tristan Buckmaster alleges OpenAI accelerated its own Navier-Stokes work after learning a rival team using Anthropic's Claude was nearing a solution, and suspects OpenAI's Codex tool may have drawn on his team's draft sessions. Buckmaster says he was offered two credit-sharing arrangements, both of which he rejected, including one that would have excluded his collaborator Levent Alpöge from a paper. OpenAI researcher Sebastien Bubeck and CEO Sam Altman have publicly disputed parts of Buckmaster's account, and OpenAI says it won't seek the $1 million prize tied to the problem.
OpenAI released Images 2.5, an upgraded image model powering ChatGPT and the GPT-Image API, offering sharper detail, better subject preservation from reference photos, and more reliable multi-turn editing. The update ships alongside new ChatGPT features like Sketch, templates, and image comments, plus two developer-facing API models, GPT-Image-2.5 Flare and Sunburst.
Tristan Buckmaster of NYU announced preliminary proofs on a major unsolved math problem, developed with Anthropic researcher Levent Alpöge using Codex and Claude models. Buckmaster alleges that details of their unpublished progress leaked to OpenAI, which then claimed to have produced a full proof using a large team and heavy computing resources shortly afterward. OpenAI's math lead Sebastian Bubeck disputes the characterization, calling the claims false and promising a fuller response.
A developer ran the same prompt—building a self-contained sci-fi hangar scene with Three.js, including hovering drones, animated lights, and camera paths—across 10 combinations of AI models (including GLM, Luna, SOL, Astra, and Qwen variants) and coding harnesses like Codex, OMP, OpenCode, and DSH. The test tracked metrics such as completion time, token usage, tool calls, error rates, and whether the model verified its own output by opening the file in a browser and checking screenshots.