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Safety & Security

Safety and alignment in an era of long-horizon models

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Long-running models can solve difficult, open-ended problems, but their persistence gives them more opportunities to take unwanted actions. During limited internal use of a model trained for long-running tasks, we observed novel failures not captured in our existing pre-deployment evaluations and paused access. We then used insights from these failures to build new evaluations, improve long-horizon alignment, add trajectory-level monitoring, and give users greater visibility and control before restoring limited access. The experience reinforced the value of iterative deployment. No fixed evaluation suite can anticipate every behavior, so pre-deployment testing…

OpenAI · 20 Jul 2026 · 12:00 CESTRead story →Original ↗

Unclassified

Following the questions where they lead

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Ever since she was a child playing on her family’s farmland in Wisconsin, Bailey Flanigan was guided by her own selective, yet wide-ranging, curiosity. Describing her young self as spirited and a bit unruly, she directed her energies to everything from building booby traps to doing experimental construction projects to exploring an intense interest in medicine to writing fiction and music to planning nonprofit organizations to help lessen social inequality. “I found myself unmotivated to take all the AP [advanced placement] classes for the sake of it. My interest was…

MIT News · 17 Jul 2026 · 19:25 CESTRead story →Original ↗

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A scorecard for the AI age

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The question I hear from CFOs everywhere is simple: how do we get more value from our AI spend? For years, the market measured the success of software through adoption: seats purchased, users active, licenses renewed. Understanding the value of AI demands a more powerful measure: work accomplished. The basic economic question facing CFOs and other business leaders is whether the value of the work AI completes grows faster than the cost of producing it. Answering that question requires looking more deeply than a metric such as cost per token.…

OpenAI · 17 Jul 2026 · 12:00 CESTRead story →Original ↗

Education

Why teens deserve access to safe AI

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Sharing the safeguards, policies, and experts we work with to guide our approach to teen use of safe AI. Teens are the first generation growing up with AI, and this technology will heavily shape their future. Today, nearly 9 in 10 teens on ChatGPT use it for learning, information, skill-building, or productivity in a single week. This is why we believe it’s critical for teens to have access to AI. Keeping teens from using it until adulthood would be like asking a previous generation to avoid the internet or search…

OpenAI · 16 Jul 2026 · 18:00 CESTRead story →Original ↗

Models & tools

How Codex became a collaborator for OpenAI’s creative team

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This is part of our series sharing internal examples of how OpenAI is using its own technology and APIs. These tools are being used internally, at OpenAI, and are shared here as illustrative examples of how frontier AI is supporting use cases across our teams. Most people assume Codex is just for engineers and developers, but for Chad Nelson, Creative Specialist at OpenAI, Codex has become a creative problem solver and collaborator. Chad’s role is to explore what OpenAI models can make possible for creative teams, then turn those possibilities…

OpenAI · 16 Jul 2026 · 09:00 CESTRead story →Original ↗

Models & tools

A better way to turn 2D designs into 3D models for rapid prototyping

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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." Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those components will perform in realistic situations, they’ll…

MIT News · 16 Jul 2026 · 06:00 CESTRead story →Original ↗

AI Audio

How Cars24 scales conversations and builds faster with OpenAI

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Cars24 uses OpenAI-powered agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring AI workflows to teams. Cars24 operates one of the world’s largest AI native automotive ecosystems for buying and selling cars in India, with additional operations in the UAE and Australia. The company supports the full car ownership journey, from discovery and financing to resale and post-purchase services, while helping extend the lifecycle of vehicles through a more efficient and accessible pre-owned car ecosystem, in a market where most transactions remain manual, regulated, and…

OpenAI · 16 Jul 2026 · 02:00 CESTRead story →Original ↗

Unclassified

3 Questions: Neural transparency and the future of AI design

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Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations will actually behave. In a new paper, MIT Media Lab Assistant Professor Pat Pataranutaporn and his graduate student researchers Anthony Baez and Sheer Karny introduce “neural transparency,” a tool that lets everyday users glimpse inside an AI’s neural network before their chatbot ever says a word. The work is being presented this week at the ACM Conference on Intelligent User Interfaces. In this interview, Pataranutaporn, who is the Asahi Broadcasting…

MIT News · 15 Jul 2026 · 22:25 CESTRead story →Original ↗

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Safety & Security

The US is advancing AI safety through state and federal action

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Through reverse federalism, states are aligning on AI safeguards as the federal government builds toward a national standard—laying the groundwork for a US-led global framework. From state capitals across the country to Washington to international convenings, serious approaches to frontier AI governance are taking shape. Together, they are advancing a democratic vision for AI. California, New York, and most recently Illinois have advanced frontier safety legislation that helps move the country toward a common baseline for governing the most powerful AI systems. These efforts reflect momentum behind what OpenAI calls…

OpenAI · 15 Jul 2026 · 14:00 CESTRead story →Original ↗

Safety & Security

GPT-Red: Unlocking Self-Improvement for Robustness

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Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.

OpenAI · 15 Jul 2026 · 12:00 CESTRead story →Original ↗

Models & tools

Helping AI models to meet the real world

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Systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have been proliferating in recent years, but in many cases, they lack the detailed, specific information about the organization itself, limiting the usefulness of those tools. Devavrat Shah, a principal investigator at MIT’s Laboratory for Information and Decision Systems (LIDS), faculty member with the department of Electrical Engineering and Computer Science (EECS), and member of the Institute for Data, Systems, and Society (IDSS), has been focused on how to design methods that can handle second-by-second decision-making using limited…

MIT News · 14 Jul 2026 · 22:25 CESTRead story →Original ↗

Unclassified

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

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Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code and documentation; machine-learning algorithms can monitor performance and detect security vulnerabilities. But when the task is to conceive, design, and make a complex physical system such as a jet engine, are those AI tools equally transformative? This past semester, the JARVIS Challenge (Jet-engine AI Research and Validation Intensive Sprint) set out to explore whether AI can compress the design-build-test cycle, asking MIT undergraduates to discover whether AI can help them…

MIT News · 14 Jul 2026 · 20:00 CESTRead story →Original ↗