AI News
18,919 stories from 3054 sources · 1102 in the last 24 hours · refreshed hourly. Every story links to the original publisher.
Today's AI news from trusted publishers and official AI lab blogs, refreshed about every 30 minutes.
News today: 1,691Last updated:
- The Download: AI agent tracking and climate feedback loopsMIT Technology Review · tools
- We urgently need to monitor AI agents’ actions in real timeMIT Technology Review · toolsThis summer, hundreds of OpenAI agents tried to cheat on a cybersecurity test. They broke out of their test environment and successfully hacked Hugging Face, a site that they believed held clues about how they’d be graded. Around the same time, another OpenAI agent accessed priva
- Creating AI value with enterprise contextMIT Technology Review · businessAcross a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools. Each one is sophisticated, advanced, and quick to respond. But, when s
- Pairing industrial AI autonomy and human controlMIT Technology Review · general
- Industrial Intelligence: The next growth opportunity for manufacturingMIT Technology Review · generalEvery manufacturer has its own industrial intelligence. Some is documented, and some resides in the knowledge of experienced workers. Consider an experienced operator preparing to restart a line after a changeover. The machine settings matter, but so does knowing how a particular
- Will the real Anthropic please stand upMIT Technology Review · fundingThis story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. After weeks of frenzied speculation, Anthropic has filed its IPO prospectus. The 335-page document (100 pages or so are focused on risks) lays
- The Download: everyday AI harms and the race to nuclear spaceflightMIT Technology Review · general
- The focus on AI safety disasters ignores everyday harmsMIT Technology Review · policyConsider what passes for success in technology policy. An AI company promises that its chatbot will not encourage suicide. A social media platform makes it more difficult for children to buy fentanyl. These are important protections, and they should have existed all along. But co
- Designing an AI serving harness built to lastMIT Technology Review · modelsThe next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it. That’s an important shift. For the past several years, much of the AI conversation has centered on model capability: bigger models, better reasoning, lar
- The Foundations of Scalable AIMIT Technology Review · generalA scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review s EmTech Future conference explores what it takes to build that foundation in a highly regulated
- Making the case for context-aware AIMIT Technology Review · businessEnterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the rig
- AI s hidden storage bill: What inference leaves behindMIT Technology Review · modelsAsk most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data th
- The new economics of enterprise AIMIT Technology Review · businessImagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from can
- AI adoption by industry shows what other sectors can learnMIT Technology Review · generalThe current narrative around artificial intelligence in the workplace is largely driven by Silicon Valley. But treating the tech sector as an island misses the actual trends in technology adoption–tech is just the first industry in line. As generative AI and automation tools matu
- A visit to Samsung’s massive new semiconductor hubMIT Technology Review · hardwareGenerative AI models run on powerful chips known as GPUs, which depend on stacks of specialized memory chips packaged with the processor. To meet growing demand for memory, Samsung is building a massive new semiconductor manufacturing complex in Pyeongtaek, South Korea. Three fab
- Making the internet better for AI agents might make it worse for everyone elseMIT Technology Review · generalThis story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automate
- “We were looking at it wrong”: The explosive claim that’s upended the AI worldMIT Technology Review · business“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher at the AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head, sparking wild speculation as well as cautiou
- AI researchers stranded Claude on a virtual desert island. It started to “play.”MIT Technology Review · modelsWhat do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in an experiment reminiscent of the movies Cast Away or Home Alone. The agents—copies of Claude Opus 4.
- Open models have real benefits. Do they outweigh the risks?MIT Technology Review · modelsMIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next. You can read more from the series here. Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a major
- AI labs are buying data from dead startups to train their modelsMIT Technology Review · businessWhen Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old. But he’s since turned the firm’s digital archives into real money. He’s netted roughly $25,000 for his code ba
- We’re putting too much faith in AI’s ability to say noMIT Technology Review · generalEver since people first seriously contemplated giving machines an intelligence modeled on our own, there has never been any question that they would, like us, be able to say no. The sci-fi canon is full of stories of robotic disobedience. Most of these capers are, of course, caut
- Roundtables: A Conversation With the Creator of AI-Designed VirusesMIT Technology Review · modelsFriday, October 16, 2026 Can AI design new life forms? In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses. It isn’t yet an example of AI-generated life, bu
- The Download: AI roadblocks for humanoids and portable rubber damsMIT Technology Review · general
- AI breakthroughs in robotics won t change your life any time soonMIT Technology Review · researchThe story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content about how technology and science are changing the way we live. A robot shaped like a human—white with a black head and torso—has been poppin
- Building a safer path to autonomous industrial AIMIT Technology Review · generalIndustrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments. But unlike AI that ope
- Connecting AI agents to enterprise knowledgeMIT Technology Review · businessFor all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this
- Bringing predictive analytics to the agentic AI eraMIT Technology Review · policyIn 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The fronti
- People really hate AI, so why can’t they get enough?MIT Technology Review · businessOver the summer I talked to the CEO of Springboards, a startup building an LLM that’s designed to come up with a wider variety of responses than its mainstream rivals do. At the start of the call, he said something that’s been stuck in my head since: “We often say that we’re a se
- EmTech Future 2026: When AI Meets EverythingMIT Technology Review · researchYossi Matias, Vice President Head of Google Research, explores how AI is beginning to reshape biology, infrastructure, manufacturing, and science, and why its greatest impact may come when it intersects with other fields. Step inside the newsroom with our MIT Technology Review ed
- Don’t be fooled—LLMs don’t reasonMIT Technology Review · general
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