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Advisory Group on Mathematics and Artificial Intelligence

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On August 28, we began training a new internal model. In addition to resolving the Navier–Stokes Millennium Prize problem⁠, this model has now resolved more than 100 long-standing open problems across most areas of mathematics. The pace of its progress⁠ in mathematics has surprised the mathematicians within OpenAI. This has led to internal discussions on the best way to inform the community of the rapid progress to prepare and adapt the field. Mathematics is a fundamental science, and novel discoveries may result in a wide range of applications. That makes…

OpenAI · 21 Sep 2026 · 14:00 CESTRead story →Original ↗
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Models & tools

Higgsfield AI ships new video features in a day with GPT-6 Astra

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With GPT‑6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster. Higgsfield AI⁠ helps creatives complete video workflows end to end with AI. Its mission is to make creative storytelling more accessible to professionals around the world, including small businesses using video ads to sell. GPT‑6 Astra supports both sides of that

OpenAI · 21 Sep 2026 · 14:00 CESTRead story →Original ↗
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Unclassified

Building standards for the next phase of AI

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Our mission is to ensure that artificial general intelligence benefits all of humanity. As outlined recently by Sam Altman and Jakub Pachocki, we prioritize our work towards this mission with three main goals: Navigate the next period of AI progress, by building an automated AI researcher, iterating with it on the alignment problem, and finding ways for people to remain part of the self-improvement loop. Deliver the benefits of scientific progress and economic growth that very intelligent machines enable. AI is accelerating our own research and engineering, and AI-enabled research…

OpenAI · 21 Sep 2026 · 12:00 CESTRead story →Original ↗
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Expanding OpenAI Academy with new learning paths

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Expanding OpenAI Academy with new learning paths

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Role-based learning helps employees, developers, leaders, educators, and students build practical AI skills and demonstrate what they’ve learned. Using AI safely and effectively takes practice. People need to learn how to apply it to the work in front of them, whether they’re improving a daily workflow, building a product, leading a team, or teaching a class. At OpenAI, we treat learning as part of deployment. Today, we’re expanding OpenAI Academy with new courses for developers, leaders, educators, and college students. These join Apply AI at Work, which helps people build…

OpenAI · 21 Sep 2026 · 09:00 CESTRead story →Original ↗
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tokenizers v1: encode, decode and scaling, measured

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tokenizers v1: encode, decode and scaling, measured

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As models become faster and workloads scale, that balance begins to shift. Training on massive datasets, serving many concurrent requests, or repeatedly processing long inputs can put enough pressure on the tokenizer that it starves the model of data. This is why we have chosen to heavily focus on performance for the upcoming version 1 of tokenizers. Tokenization should be light and should scale with your workflow. Your GPUs should never sit idle waiting for the CPU to complete its tokenization. In this article, we look at what makes v1…

Hugging Face · 21 Sep 2026 · 02:00 CESTRead story →Original ↗
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A new chapter for MIT Reads

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A new chapter for MIT Reads

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As it marks its 10-year anniversary, MIT Reads is being reimagined for the age of artificial intelligence. Recognizing the need to foster social connection and a sense of our shared humanity, the popular MIT Libraries’ program will turn its focus to fiction and memoir, and to the particular power of stories to help us understand ourselves and our place in the world. “At MIT, we spend a great deal of time on imagining and building for the future. Reading fiction prompts us to think about how what we build might…

MIT News · 18 Sep 2026 · 18:30 CESTRead story →Original ↗
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Governance

Introducing the Australian Youth Safety Blueprint

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OpenAI’s approach to protecting, empowering, and creating safer experiences for young people. We are introducing the Australian Youth Safety Blueprint⁠, a roadmap for protecting young people as they use AI and a practical contribution to the Australian policy landscape. Young Australians deserve tools that expand their opportunities to learn, create, and build skills while protecting their wellbeing. The Blueprint sets out six pillars, from AI literacy and age-appropriate safeguards to privacy-protective age assurance, connections to real-world crisis

OpenAI · 18 Sep 2026 · 14:00 CESTRead story →Original ↗
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Partnering with Accenture on embedded evaluation

Safety & Security

Partnering with Accenture on embedded evaluation

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We're partnering with Accenture on independent evaluation of frontier AI. This is an important step toward the commitment, made in our CEO’s essay “We Must Pace the Frontier,” to embed evaluators within Anthropic. The partnership will be led by Faculty, Accenture’s specialist AI business, and will include evaluating and red-teaming models, conducting alignment assessments, and testing model safeguards. Accenture helps businesses and governments deploy AI across many industries. Their understanding of how enterprises use AI in practice informs their safety approach, and they will bring that perspective to evaluating our…

Anthropic · 17 Sep 2026 · 18:00 CESTRead story →Original ↗
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How Cooley is accelerating IPO work with ChatGPT

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How Cooley is accelerating IPO work with ChatGPT

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Cooley’s GO Public offering uses ChatGPT Work to surface issues earlier, focus expertise, and help clients reach market faster. Cooley is an international law firm with a reputation for helping companies navigate capital markets and initial public offerings (IPOs). In 2025, the firm advised on 180 deals globally, totaling more than $51.5 billion in deal volume. Cooley has a decade-long track record at the top of the US issuer-side IPO market and has advised on more venture-backed IPOs than any other firm over the past 20-plus years. Capital markets involve…

OpenAI · 17 Sep 2026 · 14:00 CESTRead story →Original ↗
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Unclassified

Introducing Astra for Law

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Our most powerful model, configured into a new AI foundation for law. Today, we’re introducing Astra for Law: a new foundation for law firms and legal technology companies to build AI products and workflows around their expertise. It combines GPT‑6 Astra, our latest and most powerful model, with settings, tools, and context tailored for professional legal work. API customers including Harvey and Legora will be able to build on Astra for Law, bringing this intelligence into their own products and workflows. As our frontier models advance, we’ll bring these legal…

OpenAI · 17 Sep 2026 · 02:00 CESTRead story →Original ↗
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Models & tools

Our framework for reporting model misalignment

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We are sharing a new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI, along with six reports on unexpected or concerning model behavior we’ve observed in the last six months. In the past, so as to better inform researchers, AI developers, policymakers, and the general public, we’ve sought to make our findings about misalignment public. But without a systematic approach to reporting these findings, our disclosures have been ad hoc and less frequent than ideal: we’ve often waited until we could collate several instances into one…

OpenAI · 16 Sep 2026 · 19:00 CESTRead story →Original ↗
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