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Everyone’s fighting over GPUs. Alibaba just changed the question. On Tuesday, Alibaba’s DAMO Academy unveiled the XuanTie C950 — a 5-nanometer server processor built on open-source RISC-V architecture. It’s the highest-performing RISC-V CPU ever made. But the interesting part isn’t the benchmarks. It’s the thesis behind the chip: that AI agents need fundamentally different silicon than AI chatbots. While Nvidia, AMD, and Intel wage war over who can build the biggest parallel processor for training models, Alibaba is making a deliberate bet on what comes after training. And the logic is harder to dismiss than you’d think. ...

Remember when AI assistants could only talk about helping you? Those days are officially over. Anthropic just dropped what might be the most consequential AI update of 2026: Claude can now take control of your Mac. Not metaphorically — it literally moves your cursor, clicks buttons, types into fields, and navigates your apps. You can text Claude from your phone while grabbing coffee, and by the time you sit back down, your pitch deck is exported, attached to a calendar invite, and ready to go. ...

After 35 years as the Switzerland of semiconductors — licensing chip designs to anyone with a checkbook — Arm Holdings just crossed the Rubicon. It built its own chip. Not a demo. Not a reference design you’ll never see in production. A 136-core data center processor called the AGI CPU, fabricated on TSMC’s 3nm process, with Meta signed on as the debut customer. This isn’t incremental. This is tectonic. The Hardware: 136 Cores of Pure Intent The specs read like Arm had something to prove. ...

You’ve asked ChatGPT to brainstorm. The ideas came back sharp, polished, surprisingly good. You felt clever for using it. Here’s the problem: so did everyone else. And they all got the same ideas. A paper published this week in PNAS Nexus by researchers Emily Wenger and Yoed N. Kenett has coined what might be 2026’s most important AI concept: homogeneous creativity. The finding is deceptively simple and deeply unsettling — while individual AI responses can match or beat average human creativity scores, the collective output of large language models is startlingly uniform. ...

Anthropic just gave Claude the keys to your Mac. On Monday, Anthropic announced that Claude can now take control of a user’s computer to complete tasks — opening apps, navigating browsers, filling spreadsheets, moving files, and doing the kind of digital busywork that devours hours of your day. You message Claude from your phone, it gets to work on your desktop like an invisible assistant sitting at your keyboard. This isn’t a concept demo or a developer API buried in docs. It’s a consumer-facing feature, available now in research preview for Claude Pro and Max subscribers on macOS. And it signals something bigger: the agentic AI arms race isn’t theoretical anymore. It’s shipping. ...

Four words from the most powerful man in AI just broke the internet: “We’ve achieved AGI.” Jensen Huang — CEO of NVIDIA, the $4 trillion company whose GPUs power essentially every AI system on the planet — sat down with Lex Fridman this week and casually dropped what should be the most consequential claim in the history of technology. Artificial general intelligence, the holy grail researchers have chased for decades, is apparently already here. ...

Jensen Huang just told the world Nvidia expects $1 trillion in revenue by 2027. That’s double last year’s forecast. But the real story from GTC 2026 isn’t the number — it’s the machine that’s supposed to earn it. Vera Rubin Isn’t a Chip. It’s an Ecosystem. Stop thinking about Nvidia as a GPU company. The star of this year’s GTC is the Vera Rubin platform — a five-rack-scale AI supercomputer built from seven different chips, each purpose-designed for a specific slice of the AI workload. ...

The AI cost curve didn’t just bend — it snapped. Chinese AI lab MiniMax just released M2.7, a model that scores within spitting distance of Claude Opus 4.6 and GPT-5.4 on coding benchmarks, runs on modest hardware, and costs $0.30 per million input tokens. That’s roughly 17x cheaper than Opus on input and 21x cheaper on output. But the price isn’t even the headline. The headline is how they built it: M2.7 helped build itself. ...

The lights shooting into the Austin sky on Saturday night weren’t aliens. They were Elon Musk doing what Elon Musk does best — staging an event so audacious that you can’t look away, even if you’re not sure you believe a word of it. Inside the defunct Seaholm Power Plant in downtown Austin on March 21, Musk officially launched Terafab — a joint venture between Tesla, SpaceX, and xAI to build what he calls “the most epic chip-building exercise in history by far.” The price tag: an estimated $20–25 billion. The goal: producing one terawatt of computing power per year, with 80% of it destined for space. ...

The AI industry just stopped pretending it’s a technology revolution and started acting like a Wall Street dealmaking frenzy. Reuters broke the news on March 23: OpenAI is offering private equity firms preferred equity stakes with a guaranteed minimum return of 17.5% to lure them into joint ventures focused on enterprise AI deployment. The company behind ChatGPT is essentially paying buyout firms to help it sell AI to their portfolio companies — because rival Anthropic is running the same playbook. ...