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3 Questions: Neural transparency and the future of AI design

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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 ↗
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Helping AI models to meet the real world

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

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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 ↗
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Sales workflows with ChatGPT Work

Automation & Agents

Sales workflows with ChatGPT Work

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Sales teams often hold the facts needed for a decision in several places at once: customer records, call notes, email, chat, presentations and account documents. OpenAI's guide describes using ChatGPT Work to bring those materials together and prepare a first draft that a seller or manager can check. The aim is to spend less time assembling background and more time deciding what to do with it. ## Where the workflow can help The guide names five recurring jobs: prioritizing an account, preparing for a meeting, reviewing forecast risk, planning an…

OpenAI · 14 Jul 2026 · 02:00 CESTRead story →Original ↗
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How MIT students are helping to prevent cyberattacks

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How MIT students are helping to prevent cyberattacks

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In May 2019, the government of Baltimore, Maryland, fell into chaos. Cybercriminals had locked the city out of many of its critical files and demanded payment to decrypt them. The city refused to pay ransom. The attack incapacitated a swath of services, including real estate transactions and bill payment, and recovery costs soared into the millions. The syllabus of class 11.074/11.274 (Cybersecurity Clinic), a course in the MIT Department of Urban Studies and Planning (DUSP), includes a case study on Baltimore’s situation as an example of increasingly common ransomware attacks…

MIT News · 13 Jul 2026 · 21:10 CESTRead story →Original ↗
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AI agents create virtual playgrounds to help robots get crucial training data

Models & tools

AI agents create virtual playgrounds to help robots get crucial training data

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Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach these machines so many actions across different settings. “One natural idea is to use simulation as a training ground. While there has been significant progress over the last few years in the physics engines that…

MIT News · 13 Jul 2026 · 20:50 CESTRead story →Original ↗
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New method aims to keep kids safe from illegal AI-generated content

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New method aims to keep kids safe from illegal AI-generated content

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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." With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings…

MIT News · 13 Jul 2026 · 06:00 CESTRead story →Original ↗
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AI Audio

How Deutsche Telekom is rewiring telecommunications with AI

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Reimagining employee workflows, customer service, and network operations, for an AI-native future Deutsche Telekom⁠ is one of the world's largest telecommunications companies, serving more than 300 million customers across Europe and the United States and employing more than 200,000 people across the group. Operating at this scale means managing vast customer service operations, complex network infrastructure, and millions of daily interactions that keep people connected. As generative AI capabilities accelerated, Deutsche Telekom saw an opportunity that went beyond productivity gains. The company set an ambitious goal: to be among the…

OpenAI · 10 Jul 2026 · 09:00 CESTRead story →Original ↗
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