Why the humanoid workforce is running late
On Thursday I watched Daniela Rus, one of the world’s top experts on AI-powered robots, address a packed room at a Boston robotics expo. Rus spent a portion of her talk busting the notion that giant fleets of humanoids are already making themselves useful in manufacturing and warehouses around the world. That might come as…
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This data set helps researchers spot harmful stereotypes in LLMs
AI models are riddled with culturally specific biases. A new data set, called SHADES, is designed to help developers combat the problem by spotting harmful stereotypes and other kinds of discrimination that emerge in AI chatbot responses across a wide range of languages. Margaret Mitchell, chief ethics scientist at AI startup Hugging Face, led the…
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The AI Hype Index: AI agent cyberattacks, racing robots, and musical models
Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. AI agents are the AI industry’s hypiest new product—intelligent assistants capable of completing tasks without human supervision. But while they can be theoretically…
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Is AI “normal”?
Right now, despite its ubiquity, AI is seen as anything but a normal technology. There is talk of AI systems that will soon merit the term “superintelligence,” and the former CEO of Google recently suggested we control AI models the way we control uranium and other nuclear weapons materials. Anthropic is dedicating time and money…
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Seeing AI as a collaborator, not a creator
The reason you are reading this letter from me today is that I was bored 30 years ago. I was bored and curious about the world and so I wound up spending a lot of time in the university computer lab, screwing around on Usenet and the early World Wide Web, looking for interesting things…
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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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