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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 →Original ↗

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 →Original ↗

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 →Original ↗

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 →Original ↗

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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 →Original ↗

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 →Original ↗

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 →Original ↗

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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 →Original ↗

OpenAI and Broadcom unveil LLM-optimized inference chip

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Early testing shows that the first-generation accelerator will deliver performance per watt substantially better than current state-of-the-art Built from the ground up for current and future LLMs across the industry Developed from design to production in nine months, accelerated by OpenAI’s models Expands OpenAI’s full-stack platform, from products to models and now to chips To be deployed at gigawatt scale with data center partners, over multiple generations OpenAI and Broadcom (NASDAQ: AVGO) today unveiled Jalapeño, OpenAI’s first Intelligence Processor: an accelerator architected around OpenAI’s vision for the future of LLM…

OpenAI · 24 Jun 2026 · 08:00 CESTRead story →Original ↗

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Research

How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery

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The model’s ability to augment human expertise could help advance fields including cancer research, autoimmune disease, and infections. Doctor and immunologist Derya Unutmaz has been interested in artificial intelligence for years. But his “aha” moment came in late 2025, when GPT‑5 Pro helped him and his lab revisit a three-year-old puzzle centered on a special type of immune cell that helps the human body fight cancer and other illnesses. The mystery centered on a basic but consequential question in immunology: how does glucose affect the way T cells develop and…

OpenAI · 23 Jun 2026 · 19:00 CESTRead story →Original ↗

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Safety & Security

Helping build shared standards for advanced AI

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Increasingly capable models can strengthen cyber defense, accelerate scientific discovery, and expand access to expertise. But they can also create safety and security risks if their capabilities are misunderstood, their safeguards are inadequate, or governments lack the information they need to respond. To realize the benefits safely and confidently, societies will need institutions with the technical and governance capacity to evaluate, secure, and govern increasingly capable systems. That is one reason OpenAI helped found the Appia Foundation⁠, hosted by the Linux Foundation. Appia will develop open, modular specifications intended to…

OpenAI · 23 Jun 2026 · 15:00 CESTRead story →Original ↗

Unclassified

New chip could help tiny robots traverse complex environments

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A new chip developed by MIT researchers could help tiny, low-power UAVs avoid obstacles as they zip around tight corners inside an industrial HVAC system to check for gas leaks. The chip allows small autonomous robots and other battery-limited devices to construct detailed 3D maps of their environments in real-time using only about as much power as a single LED. A robot could use such a map to plan a collision-free path to reach its goal. Typically, generating such thorough maps requires power-hungry systems and a great deal of memory…

MIT News · 23 Jun 2026 · 06:00 CESTRead story →Original ↗