The future of AI processing
Artificial Intelligence (AI) is emerging in everyday use cases, thanks to advances in foundational models, more powerful chip technology, and abundant data. To become truly embedded and seamless, AI computation must now be distributed—and much of it will take place on device and at the edge. To support this evolution, computation for running AI workloads…
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Generative AI is reshaping South Korea’s webcomics industry
“My mind is still sharp and my hands work just fine, so I have no interest in getting help from AI to draw or write stories,” says Lee Hyun-se, a legendary South Korean cartoonist best known for his seminal series A Daunting Team, a 1983 manhwa about the coming-of-age of heroic underdog baseball players. “Still,…
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AI is pushing the limits of the physical world
Architecture often assumes a binary between built projects and theoretical ones. What physics allows in actual buildings, after all, is vastly different from what architects can imagine and design (often referred to as “paper architecture”). That imagination has long been supported and enabled by design technology, but the latest advancements in artificial intelligence have prompted…
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A Google Gemini model now has a “dial” to adjust how much it reasons
Google DeepMind’s latest update to a top Gemini AI model includes a dial to control how much the system “thinks” through a response. The new feature is ostensibly designed to save money for developers, but it also concedes a problem: Reasoning models, the tech world’s new obsession, are prone to overthinking, burning money and energy…
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Adapting for AI’s reasoning era
Anyone who crammed for exams in college knows that an impressive ability to regurgitate information is not synonymous with critical thinking. The large language models (LLMs) first publicly released in 2022 were impressive but limited—like talented students who excel at multiple-choice exams but stumble when asked to defend their logic. Today’s advanced reasoning models are…
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What is vibe coding, exactly?
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 OpenAI cofounder Andrej Karpathy excitedly took to X back in February to post about his new hobby, he probably had no idea he was about…
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AI is coming for music, too
Artificial intelligence was barely a term in 1956, when top scientists from the field of computing arrived at Dartmouth College for a summer conference. The computer scientist John McCarthy had coined the phrase in the funding proposal for the event, a gathering to work through how to build machines that could use language, solve problems…
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A small US city experiments with AI to find out what residents want
Bowling Green, Kentucky, is home to 75,000 residents who recently wrapped up an experiment in using AI for democracy: Can an online polling platform, powered by machine learning, capture what residents want to see happen in their city? When Doug Gorman, elected leader of the county that includes Bowling Green, took office in 2023, it…
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Phase two of military AI has arrived
Last week, I spoke with two US Marines who spent much of last year deployed in the Pacific, conducting training exercises from South Korea to the Philippines. Both were responsible for analyzing surveillance to warn their superiors about possible threats to the unit. But this deployment was unique: For the first time, they were using…
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Generative AI is learning to spy for the US military
For much of last year, about 2,500 US service members from the 15th Marine Expeditionary Unit sailed aboard three ships throughout the Pacific, conducting training exercises in the waters off South Korea, the Philippines, India, and Indonesia. At the same time, onboard the ships, an experiment was unfolding: The Marines in the unit responsible for…
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