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Unclassified

MIT in the media: Innovating and educating for the next 250 years of America

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Without federal support for curiosity-driven research, the innovation and talent pipeline that has helped ensure our nation’s prosperity and safety could run dry, warned President Sally Kornbluth during a Washington Post Live event. During "The Next Generation," a panel discussion moderated by Washington Post reporter Zachary Goldfarb at The Washington Post’s “Building America Summit,” Kornbluth and Arizona State University (ASU) President Michael Crow joined forces for a spirited discussion on the importance of curiosity-driven research, examining how universities are preparing the next generation of scientists to lead in America’s rapidly…

MIT News · 1 Jul 2026 · 22:30 CESTRead story →Join free ↗

Models & tools

Q&A: What is agentic AI today, and what do we want it to be?

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The deployment of automated software systems called AI agents has recently exploded. A November 2025 report by MIT Sloan School of Management and Boston Consulting Group found that 35 percent of surveyed businesses had already deployed AI agents, while another 44 percent planned to implement agentic AI soon. To understand the fundamentals and potential impacts of these increasingly popular tools, MIT News spoke with Phillip Isola, an associate professor in the Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science and Artificial Intelligence Laboratory…

MIT News · 30 Jun 2026 · 17:30 CESTRead story →Join free ↗

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Unclassified

How ChatGPT adoption has expanded

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ChatGPT adoption is widening and deepening around the world. New OpenAI Signals data shows that people use ChatGPT more often and for a broader range of tasks over time, while its user base is becoming more global and more diverse. Using aggregated data, OpenAI Signals measures how people interact with Individual ChatGPT plans (these include Free, Go, Plus, and Pro plans) over time. This analysis offers a view into how Individual AI usage is evolving as ChatGPT reaches global scale. The visualizations below highlight several core trends in global AI…

OpenAI · 30 Jun 2026 · 11:00 CESTRead story →Join free ↗

Unclassified

Core dump epidemiology: fixing an 18-year-old bug

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By Nathan Bronson, Member of Technical StaffOpenAI’s models and agents increasingly rely on scalable data infrastructure in order to search for relevant data at inference time: when the models are thinking about your question. Some of these services are written in C++, whose low-level control of the system lets us maximize performance and minimize memory usage. Those efficiency benefits are important as we scale, but C++’s lack of memory safety means that bugs can cause crashes by writing to incorrect or non-existent memory addresses. A few months ago we observed…

OpenAI · 30 Jun 2026 · 02:00 CESTRead story →Join free ↗

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Unclassified

Inside Genebench-Pro

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These 10 case studies showcase representative questions from GeneBench-Pro. Each case study includes the original prompt, datasets, and supporting materials. For an overview of the benchmark and key findings, see the announcement blog. Estimate whether a synthetic TXR1-directed inhibitor has positive clinical utility in tumors whose target activation is driven by a structural variant. TXR1, TXR1i, DLR1, and star-allele labels are synthetic benchmark labels. The target subgroup has to be recovered from long-read, expression, tumor-quality, and pharmacogenomic evidence before benefit and toxicity can be interpreted as a treatment decision. A…

OpenAI · 30 Jun 2026 · 02:00 CESTRead story →Join free ↗

Research

Introducing GeneBench-Pro

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A research-level benchmark measuring how AI agents navigate ambiguity and make consequential judgments in computational biology. Scientific data rarely arrive with instructions. Researchers must decide whether a pattern reflects biology or noise, whether the data can support the question being asked, and how each result should change what they do next. AI agents are increasingly capable of executing complex analyses, but real scientific research also depends not simply on recalling facts or following a predefined workflow but also on making these higher-order judgments. Today, we’re introducing GeneBench-Pro—a challenging, research-level benchmark…

OpenAI · 30 Jun 2026 · 02:00 CESTRead story →Join free ↗

Automation & Agents

Mapping Europe’s AI Workforce Opportunity

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How the EU’s mix of occupations and institutions can shape where AI supports growth, redesigns work, and encourages adaptation AI capabilities can cross borders quickly. Jobs do not change in such a frictionless way. Work is shaped by licensing systems, local institutions, and the practical realities of delivering care, education, justice, public services, and other forms of human support. These systems matter because they help determine if and how AI changes the labor market. What will AI’s labor market impact be? Where will the impacts be felt most and when?…

OpenAI · 29 Jun 2026 · 09:00 CESTRead story →Join free ↗

Business use

HP Inc. launches Frontier strategic partnership with OpenAI

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Enterprise transformation rarely starts all at once. More often, it begins when small teams prove a new way of working is possible. That was the case with HP Inc., which just announced it will scale activation of its OpenAI Frontier strategic partnership, following a series of successful pilots across different areas. The strategic partnership extends how HP is deploying frontier capabilities to help its global efforts to enhance customer-facing experiences and accelerate transformation across its operations. Once scaled, the strategic partnership will focus on deploying AI across the organization in…

OpenAI · 28 Jun 2026 · 19:00 CESTRead story →Join free ↗

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Models & tools

Previewing GPT-5.6 Sol: a next-generation model

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We’re beginning a limited preview of the GPT‑5.6 series: Sol, our flagship model; Terra, a balanced model for everyday work; and Luna, a fast and affordable model. Terra has competitive performance to GPT‑5.5 while being 2x cheaper and Luna brings strong capability at our lowest cost. GPT‑5.6 Sol launches with our most robust safety stack to date. We strengthened protections for higher-risk activity, sensitive cyber requests, and repeated misuse, and spent multiple weeks finding weaknesses, pressure-testing our system, and hardening it against real-world attacks. We believe in broad access, and…

OpenAI · 26 Jun 2026 · 12:00 CESTRead story →Join free ↗

Unclassified

MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success

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Over the past 80 years, America’s bold, sustained investment in scientific research, and the discoveries, ideas and innovations that flowed from it made America a world leader. The nation’s scientific leadership has been essential to our shared prosperity and national security, and delivered real benefits for all Americans. On June 16, Scientific American released a special section, “The Young American Scientists,” which celebrates early-career professionals actively engaged in scientific research, and features commentary from MIT faculty on why they continue to be so devoted to curiosity-driven science, demonstrating how their…

MIT News · 25 Jun 2026 · 18:00 CESTRead story →Join free ↗

Models & tools

Improving the speed and energy-efficiency of AI agents

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Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it. But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy, and cost. To improve efficiency, researchers from MIT and Microsoft developed an intelligent system that streamlines the process of designing agentic workflows and automatically optimizes how those workflows are implemented. With this new method, a developer can describe what they want…

MIT News · 25 Jun 2026 · 06:00 CESTRead story →Join free ↗

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Automation & Agents

How agents are transforming work

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A new Economic Research paper measuring Codex’s economic potential at the frontier. Agentic AI changes the unit of knowledge work from single interactions to delegated, long-horizon tasks. Chatbot interactions are often short and self-contained. Agents can operate independently for minutes or hours while orchestrating tool calls, interacting with environments, and iterating towards solutions. As a result, agents are quickly becoming the most powerful AI tool for work. Over the last year, we witnessed this transformation first-hand at OpenAI. For the first few months after Codex was released to the public,…

OpenAI · 25 Jun 2026 · 04:00 CESTRead story →Join free ↗