Tech

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. ...

The biggest bottleneck in AI isn’t training anymore. It’s inference — the moment a model actually does something useful. And AWS just partnered with Cerebras Systems to attack that bottleneck with an approach nobody has tried at this scale. The deal: Cerebras’ massive wafer-scale CS-3 chips will sit inside AWS data centers, accessible through Amazon Bedrock. The promise: 5x faster inference. The method: tearing the inference pipeline in half. Splitting the Brain Traditional AI inference runs both stages on the same GPU. You send a prompt, the chip processes it (prefill), then generates a response token by token (decode). One chip, both jobs. ...

Cancer is terrifying for many reasons, but here’s the one that haunts oncologists: they often can’t tell which tumors will stay put and which will spread. By the time metastasis is detected — cancer cells colonizing distant organs — the window for effective intervention has often closed. A new AI tool from the University of Geneva is changing that equation. Called MangroveGS (Mangrove Gene Signatures), it predicts whether a cancer is likely to metastasize with nearly 80% accuracy — and it works across multiple cancer types. The research, published this week in Cell Reports, could reshape how doctors decide who needs aggressive treatment and who can be safely monitored. ...

Google just opened the floodgates on one of its most powerful — and most unsettling — AI features. Personal Intelligence, previously a paid perk, is now rolling out free to all US Gemini users. It lets the AI dig through your Gmail, Google Photos, Google Docs, and search history to deliver answers that are eerily specific to you. Ask about your next flight. It pulls the confirmation email. Planning a trip? It cross-references your hotel bookings with your photo library to suggest places your family will actually like. It even spots patterns in your photos — “many ice cream selfies” — and recommends parlors during your layover. ...

While the rest of tech quietly replaces humans with AI, OpenAI is doing the opposite — hiring at a pace that borders on reckless. The company plans to nearly double its headcount from 4,500 to 8,000 by December 2026. That’s roughly a dozen new hires every single day for the rest of the year. This isn’t confidence. It’s a strategic panic response dressed in ambition. The Anthropic Problem OpenAI Can’t Ignore The hiring blitz makes a lot more sense when you see the numbers OpenAI is staring at internally. ...