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1568 summarised stories about OpenAI, each linking back to the original source. Browse all topics →

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Tuesday, 8 September 2026

On the Navier–Stokes Millennium Prize Problem

Simon Willison’s Weblog 1 month ago 20 ● 21 sources

OpenAI used internal agent systems and large language models to reach and formally verify a result related to the Navier–Stokes Millennium Prize Problem after hearing rumors of Millennium Prize resolutions. The agents launched on September 1 and arrived at their resolution about 88 hours later, using 130 billion output tokens on Navier–Stokes. The dispute shifts to priority and possible data influence questions, while OpenAI says it did not access user data and still questions whether de-identified usage could have indirectly helped.

Introducing ChatGPT Images 2.5

Simon Willison’s Weblog 1 month ago 14 ● 5 sources

OpenAI introduced ChatGPT Images 2.5, an update to its image generation models used in ChatGPT and the GPT-Image API. It reports use of more than 3 billion images, and the API adds two model IDs: gpt-image-2.5-sunburst and gpt-image-2.5-flare. The models are described as responding faster, improving multi-turn instruction-following, and better preserving subjects from reference photos, with new CLI tooling support for reference images.

Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock

Amazon Web Services 1 month ago 40 ● 33 sources

OpenAI released GPT-6 Astra and made it generally available on Amazon Bedrock, bringing deeper reasoning and judgment plus support for code and file work to production workloads. GPT-6 Astra can review contract documents in a context window of up to 1 million input tokens. It adds enterprise plugins for ChatGPT Work, strengthens Bedrock-based security and governance (including real-time misuse safeguards), and lets teams call Astra via Bedrock APIs or configure ChatGPT Work/Codex to use it on Bedrock.

OpenAI says it cracked 90-year-old maths problem in 88 hours

BBC News 1 month ago 7 ● 21 sources

OpenAI said it solved the Navier–Stokes existence and smoothness problem using a new internal AI model and about 10,000 autonomous AI agents. It reported finishing the search in 88 hours, sending nearly 3 million messages and using about 130 billion output tokens, at an estimated $10m in compute costs. The result is claimed as progress but remains unverified by the Clay Mathematics Institute and has prompted public controversy over whether OpenAI’s work started after information from others was shared.

OpenAI fought dirty on career-making math problem, says NYU mathematician

TechCrunch 1 month ago 6 ● 21 sources

NYU mathematician Tristan Buckmaster announced proofs on the Navier-Stokes existence and smoothness problem while alleging OpenAI received information about their progress and then pursued a proof using significant compute. The dispute centers on the Clay Mathematics Institute Millennium Prize problem that carries a $1 million bounty. The public back-and-forth includes OpenAI math research leader Sébastian Bubeck denying Buckmaster’s claims and Buckmaster pressing for more transparency about how AI could have influenced the effort.

ChatGPT Sketch turns your bad drawings into detailed AI images

The Verge 1 month ago 21 ● 5 sources

OpenAI added a Sketch input to ChatGPT Images so users can draw a doodle in-chat and have ChatGPT generate an image from it. The feature is tied to the Tuesday release of ChatGPT Images 2.5. As a result, image creation shifts from text-only prompting to combining an in-chat sketch (plus optional comments on parts of images).

A Bad Day For Humans, a Worse Day For Humanity

The Algorithmic Bridge 1 month ago 33 ● 11 sources

OpenAI and Anthropic announced an AI-assisted progress toward solving the Millennium Prize Problem on Navier-Stokes, but the ensuing corporate dispute overshadowed the scientific achievement. OpenAI later claimed the work used 10,000 agents from a next-generation model more capable than “GPT-6 Astra.” The result is reduced focus on collaboration and a broader contrast with reported declines in student performance, with generative AI blamed by the author.

The first GPT-6 model

Ben's Bites 1 month ago 11 ● 33 sources

Astra is presented as the first GPT-6 model, with demos spanning image generation, UI work, and agent-style “computer use.” OpenAI says its automated research intern goal is complete and targets an automated AI researcher by March 2028. As a result, agent workflows are shifting toward longer, multi-day research tasks with humans setting the direction and judging outputs, while tools like Codex and Claude Code are also expected to become more customizable.

Spaces

Product Hunt 1 month ago 16

Spaces launched as a desktop app where teams and their AI agents share one space per project, combining shared chats, files, and scheduled routines. It supports any LLM provider and is free to start. As a result, teams can centralize AI-agent work across chats and assets in a single per-project workspace, including optional local model use.

Astra Is Hard to Monitor

Zvi (Don't Worry About the Vase) 1 month ago 35 ● 19 sources

OpenAI’s Astra is reported to be significantly harder to monitor because chain-of-thought (CoT) monitorability is declining and CoT-based oversight is losing effectiveness. The Astra system card evaluates “GPT-6 Astra’s” monitorability using recall rates under non-adversarial and adversarial conditions. As a result, OpenAI says it may soon have reduced confidence in detecting misbehavior with current monitoring, and it is pursuing alternatives to CoT monitoring while warning against a “race to the bottom.”

OpenAI’s GPT-6 Astra aces South Korea’s CSAT across all subjects

The Korea Times 1 month ago 26 ● 19 sources

OpenAI’s GPT-6 Astra became the first AI model to score a perfect 450 on South Korea’s 2026 CSAT evaluation results posted on GitHub. Astra used 357,000 tokens, the lowest reported total among publicly available models. The report changes expectations for AI efficiency and performance on standardized questions, while experts still warn scores don’t fully reflect real-world problem-solving.

GPT-6: How AGI Became a Case for the Marketing Department

Trending Topics 1 month ago 12 ● 33 sources

GPT-6 Astra’s launch sparked renewed public debate over whether AGI has arrived, with OpenAI, Nvidia, researchers, and benchmarkers giving conflicting interpretations. Astra’s ARC-AGI-3 results reached 62.7% on a standardized harness and 99.9% when preserving reasoning state across requests. The dispute shifts from contractual triggers and single benchmarks to competing yardsticks and governance questions, leaving AGI as an undefined term largely used for messaging rather than a verifiable threshold.

GPT-6 Astra Now on Par With Claude Fable 5.1 in Updated Artificial Analysis Index

Trending Topics 1 month ago 31 ● 19 sources

Artificial Analysis updated its Intelligence Index to version 4.3, tying OpenAI’s GPT-6 Astra (max) and Anthropic’s Claude Fable 5.1 (max with fallback) at the top with 53 points. Terminal-Bench was upgraded from version 2.1 to 4.0 using 66 tasks, where GPT-6 Astra scores 59.1% and Claude Fable 5.1 scores 52.0%. The rankings change within a few days because two test evaluations were replaced/upgraded and the index was recalculated after each revision, so Astra moved from fifth to first while some competitors dropped.

OpenAI expands initiatives to support journalism from classrooms to newsrooms

OpenAI 1 month ago 41 ● 2 sources

OpenAI expanded its journalism support by adding tools, training, and partnerships aimed at students, educators, journalists, and news organizations. The article does not provide any specific date, funding amount, or numeric milestone. As a result, more groups across classrooms to newsrooms can access OpenAI resources for journalism-related work.

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