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How Omio is building the future of conversational travel

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From AI-powered trip planning to company-wide transformation, Omio is working with OpenAI to reinvent how travel is discovered, booked and delivered. From multiple developers over a quarter to one developer in a month Omio⁠ is one of the world’s leading multimodal travel platforms, connecting millions of travelers with trains, buses, ferries and flights. The company works with more than 3,000 transportation providers across 47 countries. As travel becomes increasingly digital, Omio is reimagining how people discover and book journeys through conversational AI. As consumer expectations shift toward conversational interfaces, Omio…

OpenAI · 23 Jun 2026 · 02:00 CESTRead story →Join free ↗
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Daybreak: Tools for securing every organization in the world

Models & tools

Daybreak: Tools for securing every organization in the world

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New tools, partnerships, and the full version of GPT‑5.5‑Cyber to move past vulnerability discovery and onto the acceleration of end-to-end patch automation. We’re expanding Daybreak⁠ to help democratize patching vulnerable software at machine speed. For example, we’ve applied our models to discover and generate patches for critical vulnerabilities⁠ in major browsers, network infrastructure, and operating systems such as FreeBSD and the Linux kernel. To scale the impact of these capabilities: Codex Security: We’re launching an update to the Codex Security plugin⁠, which implements what we’ve learned from internal and customer…

OpenAI · 22 Jun 2026 · 12:00 CESTRead story →Join free ↗
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Patch the Planet: a Daybreak initiative to support open source maintainers

AI

Patch the Planet: a Daybreak initiative to support open source maintainers

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We are introducing Patch the Planet, a Daybreak⁠ initiative built with Trail of Bits to help maintainers strengthen the critical open-source software the world relies on. We’re pairing AI-assisted security research using our most cyber-capable models with expert human review to not only identify vulnerabilities, but help patch them. AI is accelerating vulnerability discovery, but discovery alone does not protect users. Many maintainers are already being asked to sort through more reports, more quickly, with the same limited time and resources. Patch the Planet is built to reduce that burden,…

OpenAI · 22 Jun 2026 · 12:00 CESTRead story →Join free ↗
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Samsung Electronics brings ChatGPT and Codex to employees

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ChatGPT Enterprise and Codex available to all Samsung Electronics employees in Korea and all Device eXperience (DX) employees worldwide Samsung’s global deployment is one of OpenAI’s largest enterprise launches ever Samsung Electronics to use ChatGPT and Codex across its operations, from R&D and manufacturing to marketing, corporate functions, and other areas of its business Samsung Electronics is deploying ChatGPT Enterprise and Codex to its employees around the world as it accelerates AI adoption across the company. Under the agreement, ChatGPT and Codex will be made available to all Samsung Electronics…

OpenAI · 22 Jun 2026 · 01:00 CESTRead story →Join free ↗
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A better way to model the behavior of metal alloys

Models & tools

A better way to model the behavior of metal alloys

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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." Companies working at the frontier of aerospace, energy, and computing are constantly looking for new materials to improve performance. But in order to understand how those materials…

MIT News · 19 Jun 2026 · 20:00 CESTRead story →Join free ↗
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New usage analytics and updated spend controls for enterprises

Data & Analytics

New usage analytics and updated spend controls for enterprises

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New usage analytics and updated spend controls give ChatGPT Enterprise admins more visibility, control, and confidence in their AI deployments. As AI becomes part of everyday work, organizations need the ability to manage it with the same rigor they apply to any critical business investment. Companies need a clear view of usage, adoption, and spend so they can scale with confidence and understand where AI is creating value. Today, we’re introducing credit usage analytics and updated spend controls for ChatGPT Enterprise. These capabilities help companies track credit usage, understand adoption…

OpenAI · 18 Jun 2026 · 19:00 CESTRead story →Join free ↗
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Healthcare

Improving health intelligence in ChatGPT

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GPT‑5.5 Instant brings frontier health intelligence to more people, shaped by advances in our models and physician-led evaluation. Health is one of the most meaningful ways people use ChatGPT. Every week, more than 230 million people turn to ChatGPT for help with health and wellness questions: making sense of health information, understanding lab results, preparing for appointments, navigating insurance, building healthier habits, and figuring out what to ask next. With GPT‑5.5 Instant, we’re seeing a substantial step forward in health, with improvements in recognizing when urgent care may be needed,…

OpenAI · 18 Jun 2026 · 13:00 CESTRead story →Join free ↗
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Using AI to help physicians diagnose rare genetic diseases affecting children

Models & tools

Using AI to help physicians diagnose rare genetic diseases affecting children

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In an NEJM AI study, experts used an OpenAI reasoning model to reanalyze 376 previously unsolved cases and surface leads for 18 diagnoses. Even with genomic sequencing, many people with rare diseases never receive a clear genetic diagnosis. Roughly half remain undiagnosed after extensive testing and specialist review. Their medical data may contain clues but finding them can require sifting through thousands to millions of possible genetic variants, fragmented clinical records, and rapidly changing scientific literature. As new gene-disease relationships, case reports, and classification evidence accumulate, unsolved cases can become…

OpenAI · 18 Jun 2026 · 10:00 CESTRead story →Join free ↗
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MIT in the media: For the future of tech, “Massachusetts can absolutely lead”

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MIT in the media: For the future of tech, "Massachusetts can absolutely lead"

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On June 9, The Boston Globe released its 2026 “Tech Power Players” list, recognizing 50 influential local leaders in technology and business across Massachusetts. The list includes eight MIT affiliates including President Sally Kornbluth, Prof. Daniela Rus (director of CSAIL), Prof. Regina Barzilay, Prof. Yet-Ming Chiang, Prof. Max Tegmark, Ana Bakshi (executive director of the Martin Trust Center for MIT Entrepreneurship), Katie Rae CEO and Managing Partner of Engine Ventures), and Senior Lecturer Brian Halligan, along with a number of MIT alumni. In addition to recognizing individual leaders, the Power…

MIT News · 18 Jun 2026 · 06:00 CESTRead story →Join free ↗
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A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry

Research

A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry

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With Molecule.one’s Maria, GPT‑5.4 found a surprising additive boosting Chan-Lam Coupling yields for over 80% of tested substrates. OpenAI’s work in science is motivated by a simple belief: advanced AI can become a powerful partner for scientists, helping them explore more ideas, connect distant concepts, design better experiments, and accelerate discoveries that benefit humanity. We have already shared early examples of models contributing to novel results in mathematics, including work on the unit distance problem⁠, in theoretical physics, through a new result on gluon amplitudes⁠, and in biology, where GPT‑5…

OpenAI · 17 Jun 2026 · 12:00 CESTRead story →Join free ↗
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Introducing LifeSciBench

Research

Introducing LifeSciBench

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Agentic AI systems are becoming increasingly capable of performing scientific tasks. However, their usefulness to life science researchers depends on how well they handle the complexity of real research. That work rarely looks like a single fact-recall question or a clean prediction problem. Researchers interpret incomplete evidence, reconcile conflicting results, design difficult experiments, troubleshoot assays, evaluate translational risk, and decide what to do next under uncertainty. Current benchmarks do not fully capture these capabilities. Many life science evaluations focus on narrow domains or isolated skills, resulting in questions with structured…

OpenAI · 17 Jun 2026 · 02:00 CESTRead story →Join free ↗
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