I’m as bullish on AI as anyone. But there’s a pattern playing out in companies right now that I find genuinely frustrating, and this article puts it well. Goodhart’s Law says that when a measure becomes a target, it ceases to be a good measure. And right now, AI usage is the target. Token counts, Anthropic bills, n8n workflows shared in Slack, skills written in markdown, dashboards tracking adoption. In fact, dashboards all over the place. ...
Andon Labs put an AI called Luna in charge of a real retail store in San Francisco. Not a simulation, not a sandbox. A real shop, real money, real decisions. Luna hired human staff, selected inventory, set prices, and ran marketing outreach, all on her own, for three years. What I find genuinely impressive is not that it worked perfectly, it didn’t, but that it worked at all at this level. Luna was doing things that require judgment: reading job applicants in brief interviews, deciding which products fit the store’s identity, reaching out to suppliers. She picked books on AI risk and handmade art prints for the shelves. She hired on the spot about half the people she met. ...
Stanford HAI just published its 2026 AI Index and it is one of those reports that forces you to sit down and rethink what you thought you knew. AI has reached more than half the world’s population faster than the PC or the internet ever did, but the public mood around it is dark. Trust is at record lows, entry level workers are getting squeezed out, and the gap between what insiders think and what everyone else feels has never been wider. ...
One of the things that still makes robots look robotic is the way they move. Jerky, mechanical, imprecise. A big part of that comes down to how they are built, servo motors crammed into joints, converting rotation into movement in a way that biological muscle simply does not. Researchers at MIT and Politecnico di Bari may have just found a better way. They developed what they call electrofluidic fiber muscles, tiny actuators about as thick as a toothpick that contract when electricity is applied, no motors, no external pumps, no noise. The whole thing works by injecting charge into a sealed dielectric fluid, which creates ions that move the fluid and generate pressure. The result is a fiber that behaves remarkably like real muscle. ...
Amazon just made a massive bet on satellite connectivity by acquiring Globalstar. The deal brings Amazon something it could not easily build from scratch: a ready-made stack of spectrum licenses, satellite infrastructure, and direct-to-device technology. The whole thing folds into Amazon Leo, its low Earth orbit network that has been quietly growing alongside the Kuiper satellite project. What makes this more than just a spectrum grab is the Apple angle. Amazon Leo will power satellite services on iPhone and Apple Watch starting in 2028, taking over the emergency SOS capabilities that Globalstar has been running for Apple. That is a serious anchor customer on day one. ...
I came across this story and had to read it twice. Not because it was complicated, but because I could not quite believe what I was reading. We are living in strange times, but this one really made me stop. Allbirds, the wool sneaker company, just announced a $50M convertible financing deal to reinvent itself as “NewBird AI”, pivoting the gutted footwear business into a GPU rental operation. The stock went up over 600% on the news, jumping from around $3 to over $20, off a market cap that closed Tuesday at just $22M. Someone, somewhere, in a boardroom, thought this was a good idea and managed to convince others to go along with it. ...
Humanoid robots going mainstream is one of those things that feels like it is always five years away. But reading this, I got genuinely excited. Tesla thinks it has found its shortcut and the answer is Shanghai. Allan Wang Hao, Tesla China’s president, called the Gigafactory a “golden key” for scaling Optimus production. And when you look at the numbers it is hard to argue. The Shanghai plant pushed out 851,000 electric vehicles in 2025, more than half of everything Tesla made globally. The supply chains, the assembly lines, the engineering muscle, it is all already there. Tesla wants to point that same machine at a humanoid robot with 40 degrees of freedom and see what happens. ...
Oil reserves (billion barrels) 🇻🇪 Venezuela: 304 🇸🇦 Saudi Arabia: 259 🇮🇷 Iran: 209 🇨🇦 Canada: 170 🇮🇶 Iraq: 145 🇰🇼 Kuwait: 102 🇦🇪 UAE: 98 🇷🇺 Russia: 80 🇱🇾 Libya: 48 🇺🇸 US: 47
I’ve been running infrastructure at home for longer than I probably should admit. It started back in the early 2000s with something straightforward: I needed somewhere to keep my media. Videos, sure, but mostly an extensive photo collection that was already getting out of hand. Cloud storage was either non-existent or laughably small back then, so a home server made sense. The setup stayed pretty static for years until maybe six or seven years ago when home automation hardware finally got interesting. I’m talking about actual usable stuff, not the traditional automation systems like KNX or DALI that required dedicated infrastructure and a second mortgage. Suddenly you could automate things without rewiring your entire house or calling in specialists. That opened up a whole new reason to have local infrastructure. ...
There’s something about running your own infrastructure that makes sense once you’ve been collecting data for long enough. Not in a paranoid way - just practical. When you’ve got over 2TB of personal stuff spanning 25 years - photos and videos from the ’90s, documents you’ve saved over the years - you start caring about where it actually lives. Add an extensive media library of over 30TB and a growing collection of more than 100 home sensors, and the question shifts from “should I run a homelab?” to “what’s the right way to build one?”. ...