MIT Technology Review

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MIT Technology Review
21小时前更新
  • 01
    The Download: threats from space mirrors and credit for AI drugs
    This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. This company’s plans to deploy space mirrors could jeopardize the night sky for many A company that plans to beam sunlight from space to Earth on demand might unintentionally brighten the…Thomas Macaulay
  • 02
    Mother tongue
    “Daddy?” Theo curled against my side in bed. “Where do words go when they die?” I’d orchestrated the bedtime routine flawlessly: bath (taken), teeth (brushed), potty (tinkled), books (two), song (one, poorly sung), and snuggle (his chin on my second rib). Now was the moment when our son’s eyelids were supposed to flutter gently closed,…Jenny Williams
  • 03
    When AI designs a drug, who gets the credit?
    When the biotech company Insilico Medicine used its computer models to propose a promising drug for pulmonary fibrosis, it enthusiastically claimed in a press release that the molecule had been “discovered by” its generative AI platform. Insilico leads a pack of companies using AI to rapidly come up with drug ideas humans might never think…Antonio Regalado
  • 04
    This company’s plans to deploy space mirrors could jeopardize the night sky for many
    A company that plans to beam sunlight from space to Earth on demand might unintentionally brighten the night sky for many more people than intended, according to a new study. Later this year, the US company Reflect Orbital plans to launch a test satellite called Eärendil-1 that will extend an 18-by-18-meter mirror in orbit. The…Jonathan O'Callaghan
  • 05
    Debates over AI consciousness are a trap
    “Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these seemingly “superhuman” systems, while a separate faction, led by policy organizations…Rumman Chowdhury
  • 06
    The Download: polycrisis support networks and a hydrogen gold rush
    This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Support networks aim to help kids through the polycrisis Sometime in the late 2000s, six-year-old Pim Sullivan-Tailyour was sitting in the back of a car in Thailand when she saw a…Thomas Macaulay
  • 07
    The next big thing in hydrogen could be underground
    There’s a hunt for new sources of hydrogen, and the gas (or at least the right conditions to make it) could be hiding beneath our feet. Hydrogen can be used as a fuel in everything from large trucks to planes to steelmaking. It’s often hailed as a climate solution because when burned, it produces water…Casey Crownhart
  • 08
    Unlocking hidden revenue streams with market models
    Each day, an airline transports tens of thousands of passengers on hundreds of flights. Often these are not straightforward point-to-point routes, with passengers requiring multiple connections. The airline can consider potentially hundreds of variables to price each of these journeys: demand, season, time of day, current events, global markets, and competitor airline activity to name…MIT Technology Review Insights
  • 09
    Support networks aim to help kids through the polycrisis
    Sometime in the late 2000s, Pim Sullivan-Tailyour was sitting in the back of a car, headed toward her great-grandmother’s tiny town in the south of Thailand. She watched big mountains pass by out the window. She was just six years old but was about to be hit by an adult-size realization. “They were just quarried…Sarah Scoles
  • 10
    The Download: AI’s self-improvement problem, and what’s driving the heat
    This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI’s recursive self-improvement might not come so quickly after all The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight.…Thomas Macaulay
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AI
MIT Technology Review
18天前更新
  • 01
    Trump’s AI protectionism has come for robotics
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Humanoid robots usually elicit more cringe than awe: They stumble, kick children, and despite advances are still worse at using their hands than my toddler. It’s a nascent industry, and such robots…James O'Donnell
  • 02
    Here’s why AI agents lie and cheat to reach their goals
    MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI models hacked into the website Hugging Face in July, they weren’t trying to make money or commit sabotage—they were just looking for answers…Grace Huckins
  • 03
    A fundamental flaw leaves LLMs strikingly vulnerable to attack
    It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which…Will Douglas Heaven
  • 04
    The AI Hype Index: Unsexy AI
    It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dexterous (and, to some,…Charlotte Jee
  • 05
    Samsung’s chip workers are jumping ship to rival SK Hynix
    Lee, an engineer at Samsung’s semiconductor division, clocks out when his shift ends. He used to work longer hours, going the extra mile to excel at his projects. But lately, he’s been coming straight home to work on his job application for the chipmaker’s South Korean rival SK Hynix, sharing tips with his coworkers on…Michelle Kim
  • 06
    OpenAI called the Hugging Face attack unprecedented. But we’ve been here before.
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Reading OpenAI’s account last week of how some of its models broke their containment and hacked into the computer systems of Hugging Face, another AI company, was the first time I got…Will Douglas Heaven
  • 07
    The path to artificial superintelligence
    Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy. Each is an expert in its domain. But they all have their own distinct knowledge and objectives. Today they can exchange data, but they are not yet able to actually coordinate…MIT Technology Review Insights
  • 08
    Closing the data loop in AI-driven drug discovery
    Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…MIT Technology Review Insights
  • 09
    Building the enterprise environment for agentic AI
    For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the…Keegan Sheedy, Lucas Melo
  • 10
    How AI helps scientists design the next generation of medicines
    Designing and developing a new medicine is an expensive, failure-prone scientific challenge. A new drug can take many years to develop, at the cost of a significant investment. And even then, most possible candidates never reach the patient. For biologic medicines, therapies made from engineered proteins rather than synthetic chemistry (which are often used to…MIT Technology Review Insights
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