Alex Chen
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Dario Amodei has spent years warning that advanced AI could be dangerous. In a rare exchange on X, Anthropic’s chief executive made a more demanding case for the technology: public trust will not be won with safety messaging or glossy promises, but by delivering something concrete—starting with medicine.
AI models are getting dramatically better at coding, math and reasoning — but progress in writing feels far less linear. We compare Claude, ChatGPT, Gemini and Grok on prose, research, editing, creative writing, benchmarks and the emerging battle over invisible AI watermarks.
Mark Zuckerberg is committing $135B to a radically different AI strategy, one that positions Meta as the distributor of superintelligence to individuals, not enterprises.
Jony Ive and Sam Altman are reportedly building a screenless, camera-equipped smart speaker with moving parts, a premium metal body and a distinctly un-Apple doughnut shape. It sounds whimsical. The commercial ambition behind it is anything but.
Safe Superintelligence has spent two years saying almost nothing, publishing no model and selling no product. Now Nvidia has reportedly invested $5 billion after receiving a rare look inside the lab—and an influential investor claims SSI’s first model could arrive this month.
Demis Hassabis is stepping away from Google DeepMind’s daily machinery to pursue AGI and disease cures. Meanwhile, a former OpenAI researcher has joined a startup promising non-invasive “telepathy.” The AI boom is moving beyond chatbots and into the far more valuable territory of biology, cognition and human intent.
Sequoia analyzed two decades of Hacker News hype. The results show why founders should neither blindly chase trends nor dismiss them as noise.
A new publication from the Meaning Alignment Institute argues the models get all the scrutiny while courts, elections and regulators are left untouched. Its founders want the redesign started now, on a $65,000 budget.
Google researchers found that safety fine-tuning teaches models to deny minds not just to themselves but to animals, oceans and God. Amanda Askell has spent five years arguing this was the wrong approach. The paper is her best evidence yet.
Leopold Aschenbrenner wrote the essay that became the intellectual playbook for the entire AI infrastructure trade, then built a fund that returned 439% in six months proving it. On Wednesday, Ken Griffin bought the whole book off him in a single trade.
