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Forget another chatbot upgrade. The biggest story in AI right now is that the machines are starting to build themselves. Not in the Terminator sense — nobody’s assembling robot armies in a garage. But in a quieter, more consequential way: AI systems are writing the code, optimizing the training runs, and designing the infrastructure that powers their own successors. And the companies behind them aren’t hiding it. They’re putting it on product roadmaps. ...

A Chatbot With a Prescription Pad Utah just became the first state to let an AI chatbot renew psychiatric medications without a doctor signing off. The company is Legion Health. The product is a chatbot. The price is $19 a month. And starting this month, it can keep you on Prozac, Zoloft, Wellbutrin, Lexapro, and 11 other psychiatric drugs — no human physician required. This is not a drill. This is not a research paper. This is live policy in the United States. ...

There’s a moment every product hits where it has to choose between what made it famous and what keeps it alive. Cursor just made that call. On April 2, 2026, Cursor launched version 3 — codenamed “Glass” — and it’s not an update. It’s a philosophical coup. The default interface is no longer a code editor with AI sprinkled on top. It’s a mission control dashboard for fleets of AI agents. The file explorer? Gone from the default view. The code you write yourself? Optional. ...

Micron just lost over $100 per share. Samsung shed 5%. DDR5 prices dropped 30%. The culprit? A compression algorithm from Google Research that makes AI models need dramatically less memory. And it hasn’t even shipped as a product yet. The DeepSeek Sequel Nobody Expected TurboQuant does something deceptively simple: it compresses the key-value cache — the short-term memory AI models use during inference — by 6x while making inference 8x faster. Zero accuracy loss. No retraining. No fine-tuning. Just plug it into your existing pipeline. ...

OpenAI’s next flagship AI model is codenamed after a potato. And it might be the most important thing the company has built since ChatGPT. Greg Brockman, OpenAI’s president, confirmed on the Big Technology podcast that Spud has finished training. It’s not an incremental GPT-4o update. It’s an entirely new base model — nearly two years of research condensed into what Brockman calls a “major step toward AGI.” The timing is no accident. Spud lands in the same week as OpenAI’s $122 billion fundraise, the death of Sora, and Anthropic’s alarming Mythos leak. Welcome to the most consequential week in AI this year. ...

Sam Altman said a single person armed with AI would build a billion-dollar company. Most of us filed that under “2030 aspirational futurism.” Matthew Gallagher didn’t get the memo. He did it in 2025. From $20K to $1.8 Billion Medvi is a telehealth startup selling GLP-1 weight-loss drugs online. Two employees — Gallagher and his brother Elliot. Everything else is AI. The numbers: $401 million in revenue last year, tracking toward $1.8 billion in 2026, with a reported 16.2% net margin. That’s roughly $65 million in profit for a two-person operation. ...

Choosing a college major has always been stressful. In 2026, it’s become existential gambling. A sweeping new survey from Gallup and the Lumina Foundation finds that 47 percent of currently enrolled college students have seriously considered changing their major because of AI’s impact on the job market. And 16 percent have already done it. One in six college students in America has changed the trajectory of their education — not because they discovered a new passion or failed organic chemistry, but because a technology that barely existed in its current form four years ago has made them question whether their degree will be worth anything at graduation. ...

A company that didn’t exist a decade ago is now worth more than JPMorgan Chase, Visa, or Samsung. And it’s not even public yet. OpenAI just closed $122 billion in a single funding round, locked in an $852 billion valuation, and casually dropped that it’s pulling in $2 billion per month in revenue. If you needed proof that the AI era’s economic engine is real — not just vibes and venture capital fairy dust — this is it. ...

Stop watching Congress if you want to understand where AI regulation is heading. Watch Sacramento. Governor Gavin Newsom just signed what his office calls a “first-of-its-kind” executive order that tells AI companies something they haven’t heard from American government in a while: prove your technology won’t hurt people, or lose access to the world’s fourth-largest economy. It’s a direct, unmistakable middle finger to the Trump administration’s deregulatory stance on AI. And it might be the most consequential AI policy move of 2026 so far. ...

Jensen Huang dropped another $2 billion like it was couch change. The recipient? Marvell Technology — a company whose core business is helping hyperscalers build custom chips so they don’t have to buy Nvidia GPUs. Read that again. Nvidia just invested $2 billion in a competitor enabler. Huang called it “a marvelous investment” on CNBC. Yes, he really said that. Marvell’s stock popped 13%. Nvidia climbed 3-4%. Everyone made money. But the real story isn’t the dad joke — it’s the strategy hiding behind it. ...