Manus has kick-started an AI agent boom in China
Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them. There are now a host of Chinese startups building these general-purpose…
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What’s next for AI and math
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. The way DARPA tells it, math is stuck in the past. In April, the US Defense Advanced Research Projects Agency kicked off a new initiative called expMath—short…
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Inside the tedious effort to tally AI’s energy appetite
After working on it for months, my colleague Casey Crownhart and I finally saw our story on AI’s energy and emissions burden go live last week. The initial goal sounded simple: Calculate how much energy is used each time we interact with a chatbot, and then tally that up to understand why everyone from leaders…
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Fueling seamless AI at scale
From large language models (LLMs) to reasoning agents, today’s AI tools bring unprecedented computational demands. Trillion-parameter models, workloads running on-device, and swarms of agents collaborating to complete tasks all require a new paradigm of computing to become truly seamless and ubiquitous. First, technical progress in hardware and silicon design is critical to pushing the boundaries…
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This benchmark used Reddit’s AITA to test how much AI models suck up to us
Back in April, OpenAIannounced it was rolling back an update to its GPT-4o model that made ChatGPT’s responses to user queries too sycophantic. An AI model that acts in an overly agreeable and flattering way is more than just annoying. It could reinforce users’ incorrect beliefs, mislead people, and spread misinformation that can be dangerous—a…
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The AI Hype Index: College students are hooked on ChatGPT
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. Large language models confidently present their responses as accurate and reliable, even when they’re neither of those things. That’s why we’ve recently seen…
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Anthropic’s new hybrid AI model can work on tasks autonomously for hours at a time
Anthropic has announced two new AI models that it claims represent a major step toward making AI agents truly useful. AI agents trained on Claude Opus 4, the company’s most powerful model to date, raise the bar for what such systems are capable of by tackling difficult tasks over extended periods of time and responding…
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By putting AI into everything, Google wants to make it invisible
If you want to know where AI is headed, this year’s Google I/O has you covered. The company’s annual showcase of next-gen products, which kicked off yesterday, has all of the pomp and pizzazz, the sizzle reels and celebrity walk-ons, that you’d expect from a multimillion dollar marketing event. But it also shows us just…
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AI strategies from the front lines
AI’s potential to transform business is undeniable, but realizing tangible value remains a challenge. This session explores where AI is driving the greatest returns today, how to set and manage realistic expectations, and approaches to overcome cultural and operational inertia. Attendees will gain practical guidance and actionable insights to inform their AI strategies and guide…
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How AI is introducing errors into courtrooms
It’s been quite a couple weeks for stories about AI in the courtroom. You might have heard about the deceased victim of a road rage incident whose family created an AI avatar of him to show as an impact statement (possibly the first time this has been done in the US). But there’s a bigger,…
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