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Safety overview: GPT-6 Astra

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Today, we are releasing GPT‑6 Astra, the most capable model we have ever broadly deployed. Astra is our first model to reach the Critical level of cybersecurity capability under our Preparedness Framework. The most important things to know about the safety of this launch are as follows: GPT‑6 Astra is a significant step up in cyber capabilities and meets our Critical threshold. This means that, with the right tools and access, GPT‑6 Astra can find previously unknown security flaws and develop new ways to exploit them across many well-protected systems…

OpenAI · 3 Sep 2026 · 02:00 CESTRead story →Join free ↗
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From MIT to IBM, expediting AI and quantum deployment

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From MIT to IBM, expediting AI and quantum deployment

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The experience of transitioning from research based in theory to focusing on real-world application can vary significantly for different researchers. However, for two former MIT graduate students and a former postdoc, all now at IBM, working with the MIT-IBM Computing Research Lab (formerly the MIT-IBM Watson AI Lab) during their formative years enabled them to not only close the gap between education and employment, but also to generate ideas promising to business impact. Despite pursuing varied careers in quantum machine learning, reinforcement learning and artificial intelligence agents, and trustworthy and…

MIT News · 2 Sep 2026 · 22:25 CESTRead story →Join free ↗
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Proactive cyber defense for governments and enterprises

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Proactive cyber defense for governments and enterprises

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Today, we’re launching our Fairwind Program, a limited access program for governments and trusted partners to use our most advanced cyber defense capabilities. Defenders wanting to use advanced AI have faced a difficult dilemma: adopt enormous frontier models that could be expensive to deploy and difficult to control across enterprise codebases, or turn to smaller open-weight models that might struggle with complex vulnerability remediation and require teams to build their own tooling and infrastructure from scratch. Until now. Today, we’re launching our Fairwind Program to bring the best of Google’s…

Google DeepMind · 2 Sep 2026 · 18:24 CESTRead story →Join free ↗
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Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

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Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

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Our newest Gemini models deliver next-generation intelligence for agentic workflows and cybersecurity. Building on the momentum of 3.7 Flash from three weeks ago and marking our third Flash release in only six weeks, today we’re introducing Gemini 3.8, our best reasoning and coding model yet, at the same speed and low cost of 3.7. Gemini 3.8 introduces 2 variants: While tailored for different deployment environments, both of today's releases are powered by the same foundational intelligence, and further accelerated by long-running agentic loops designed to recursively evaluate and refine the…

Google DeepMind · 2 Sep 2026 · 18:18 CESTRead story →Join free ↗
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System helps humans predict when self-driving cars will make mistakes

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System helps humans predict when self-driving cars will make mistakes

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Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of…

MIT News · 2 Sep 2026 · 17:00 CESTRead story →Join free ↗
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ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT

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ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT

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How a two-person leadership team uses ChatGPT Work to run 26 events nationwide, improve visibility in AI search, and inventory merch in minutes. Families come to ATV Big Air Tour to put down their screens and share the excitement of something real: 75-foot jumps, roaring engines, and memories that last beyond the event. The company describes its performances as family experiences built around live action, interaction, and lasting memories. ATV Big Air Tour packs nearly 26 tour dates across the United States into a short season running May to November.…

OpenAI · 2 Sep 2026 · 14:00 CESTRead story →Join free ↗
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BenchMIRT: What are LLM benchmarks actually measuring?

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BenchMIRT: What are LLM benchmarks actually measuring?

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Today we’re introducing BenchMIRT, a new method for auditing LLM benchmarks at the level of individual prompts—the questions and tasks a model is scored on. A benchmark is usually designed to measure a particular ability, such as safety, general reasoning, or instruction following. But the individual tasks inside it may depend on more than that stated goal. Take BBQ, a benchmark designed to test whether models rely on social stereotypes. One question asks about a grandson and grandfather trying to book an Uber. It probes age bias, but also requires…

Hugging Face · 1 Sep 2026 · 23:39 CESTRead story →Join free ↗
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Walter Torous named executive director of MIT Center for Real Estate

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Walter Torous named executive director of MIT Center for Real Estate

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Walter Torous, senior lecturer in the MIT Department of Urban Studies and Planning (DUSP) and the MIT Sloan School of Management, and director of the Master of Science in Real Estate Development Program (MSRED), was recently named executive director of the MIT Center for Real Estate (CRE) — effective July 1, 2026. In announcing Torous’ appointment, School of Architecture and Planning Dean Hashim Sarkis also said that Justin Steil, professor of law and urban planning, will represent CRE as faculty chair of the Academic Curriculum Council. “Together, Walter and Justin…

MIT News · 1 Sep 2026 · 23:25 CESTRead story →Join free ↗
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Introducing agentic video understanding with Gemini

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Introducing agentic video understanding with Gemini

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Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. Google just launched agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. This feature allows the model to dynamically scan video segments, which improves accuracy while cutting token usage by up to 88% and costs by up to 66%. You can start using this today by setting your API configuration to "agentic" in Google AI Studio or the Gemini Enterprise…

Google DeepMind · 1 Sep 2026 · 19:08 CESTRead story →Join free ↗
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How AI-native companies turn workflows into operating capability

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How AI-native companies turn workflows into operating capability

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Basis, Clay, and Exa Labs use agents for onboarding, account management, and developer integrations. Their examples show what enterprise leaders can borrow. OpenAI’s latest Enterprise Signals shows enterprise AI moving from assistance to execution at sharply different speeds. Frontier firms (those with the top 10% of AI usage) now generate 8.3× as many output tokens per active user as typical firms, up from 2.6× in January. The widening gap points to a deeper operating shift: leading firms connect agents to company context and tools, delegate more substantive work, and make…

OpenAI · 1 Sep 2026 · 19:00 CESTRead story →Join free ↗
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Path to Astra: critical capabilities and frontier safeguards

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Since our earlier assessment that Astra might reach a critical level of cybersecurity capability, we have gathered more evidence and run additional evaluations to assess the model’s capabilities. We now believe Astra meets the Critical cybersecurity capability threshold under our Preparedness Framework, meaning that with the right tools and access, it can find previously unknown security flaws and develop ways to exploit them across many well-protected systems without a person guiding each step. It is the first model we are designating at this level, and requires stronger safeguards during development…

OpenAI · 1 Sep 2026 · 15:00 CESTRead story →Join free ↗
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Healthcare organizations can now connect EHR and additional industry data to ChatGPT

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Healthcare organizations can now connect EHR and additional industry data to ChatGPT

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A new Epic integration and Healthcare Public Data plugin help teams review authorized patient context and work with structured information from official sources in ChatGPT for Healthcare. Healthcare organizations need AI that works across the systems and information central to care and operations. Patient context, medical evidence, public healthcare data, and organizational knowledge often live in different places. Connecting these sources in a governed workspace helps teams find the right information, understand it in context, and put it to work across the business. Today, we’re introducing a new electronic health…

OpenAI · 1 Sep 2026 · 14:00 CESTRead story →Join free ↗
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