In Japan, almost nobody learns to drive from their parents. You go to a driving school. A man in a company jacket teaches you on a pretend road, inside a fence, with pretend traffic lights. You pay him. You thank him. You never see him again. Your father is not in the car. Your mother is not in the car. Nobody you love is ever in that passenger seat. So last month, I asked every American I know in Tokyo one question. "Who taught you to drive?" Twenty-three people. Twenty-two of them smiled before they answered. "My grandpa. On the farm. I was eleven. My feet didn't reach the pedals, so he put a phone book behind my back." (Nebraska, 38) "My mom. Dad said he 'couldn't take it.' Mom pressed her imaginary brake so hard for three months, she wore a hole in the floor mat." (Georgia, 29) "First lesson, Dad made me change a tire. Second lesson, check the oil. Third lesson, he handed me the keys and said, 'Now you can drive.'" (Texas, 52) "First snow of the year, Dad took me to the empty high school lot and told me to slam on the brakes. On purpose. 'Now you know what the car does when it stops listening to you.'" (Minnesota, 33) "My stepdad. He wasn't my dad yet. By the end of that summer, he was." (Oklahoma, 35) "The day I got my license, I drove home by myself. My dad followed me the whole way in his truck. He said he was 'just going the same way.' He was not going the same way." (Tennessee, 44) "Every day after school, Dad let me drive the truck to the end of our road to get the mail. I was nine. It was a quarter mile. Best quarter mile of my life." (Wyoming, 46) "My dad. Three hours in his pickup. He said one word the whole time: 'Easy.' I'm forty-two. I still hear it at every yellow light." (Iowa, 42) Not one of them talked about a class. They all talked about a person. Japan pays a professional so that nobody's parent ever has to sit in that seat. In America, a parent hands a fifteen-year-old the keys to a two-ton machine, sits down on the passenger side, and puts their own life in that kid's hands. You call it a driving lesson. I think it's the first time someone says to you, without saying it: I trust you with my life. And then there was the twenty-third. Colton. Kentucky. 38. He didn't smile when I asked. He looked at his coffee for a while first. His dad died when he was twelve. The truck sat in the barn for three years. A stick shift. Nobody touched it. His mom couldn't drive stick. The winter he turned fifteen, she started walking to the barn after he was in bed. Every night. The owner's manual open on the steering wheel. The dome light on. She stalled that truck, he figures, about four hundred times. He could hear it from his bedroom. He never said anything. Neither did she. One morning in March, she set the keys next to his cereal and said, "Boots on." She taught him in his father's truck, up and down their gravel lane. She sat on the passenger side, where her husband used to sit. He stalled it forty times. She never once mentioned it. "She learned the hardest thing she ever learned," Colton said, "so a stranger wouldn't have to teach me." Colton has a daughter now. She's fifteen. This summer, he started teaching her. Same truck. Same gravel lane. His mom insists on coming along. She sits in the back seat. She says somebody has to supervise. Somebody sat in that passenger seat for you. Who was it? (If it was your mom with the imaginary brake, she counts twice.)

I love being able to use a sewing machine. My favorite flowy pants were falling apart, and I fixed them all up. Now I need to learn how to repair zippers because all my hoodie zippers keep breaking. 🖕🖕

I love Tailscale + Headscale I can be anywhere in the world with Starlink and hit my home machine and then with my 3 R9700's spin up a local model and start working on a PR. We truly live in remarkable times.

We love seeing our learners reach new milestones! 🚀 Huge congratulations to Omar Wael for completing the Machine Learning Specialization! We’re thrilled to see such thoughtful reflections on their journey—take a look at this highlight from Omar's recent post below. Read Omar's full post on our forum to hear more about their experience: Reflections on completing the Machine Learning Specialization #DeepLearningAI# #MachineLearning# #LearnerSpotlight# #Education# #AICommunity#

People would naturally love Elon Musk for what he builds. He represents actual hope for the future of humanity But the legacy media has deployed such a relentless stream of propaganda trying to paint him as evil that they’ve brainwashed a massive chunk of the public into pure, unearned hatred Most people who hate Elon didn't find anything bad themselves; they were just conditioned to feel that way by the corrupt media and their relentless propaganda machine They have even gone to the lengths of completely fabricating lies out of thin air just to paint him as evil

I love Grok Bot. I can see this being my daily driver for personal agentic AI. Claude models/harness still have an edge to me, but not for everything. The line is blurred with 4.6, and every sign points to 4.7 making the two platforms interchangeable for my personal tasks. A big edge for Claude over Grok for me was product. Grok offered no agentic tool on mobile and was just chat on phone, agents in terminal. Grok Bot changes everything. Guessing when the Cursor acquisition finalizes, they’ll bolt this into the Grok app, and the end result will be a superior product experience. Claude has amazing app capabilities, but it’s honestly confusing. They’ve got 3 separate tabs for agentic work (code, dispatch, cowork) and even for someone who is geeking out about this stuff, it took me a minute to understand how to use all 3 of these. It’s sloppy product development IMO, and the average consumer is never going to figure this out. And they shouldn’t have to tbh. Grok Bot takes all of this BS and hides it beneath the surface — all you have to do is show up to the party and start talking to your agents; they’ll figure out the rest. It’s just such a satisfying user experience and so much more accessible. If they can make the virtual machine setup affordable, this is definitely the superior setup. My current only hesitation for not getting deeper into Grok Bot/setting my life up in it is the fact that I’m testing it through a Cursor Ultra trial sub, and ultimately I’d like to run this app through a SuperGrok Plus sub. I don’t think there’s any way to merge accounts, and it isn’t available through SGP yet, but I don’t want to spend a month standing up a bunch of things only to have to start over when they inevitably roll this out wider. But my honest guess is that by end of year I will have no personal Claude account, and Grok will be my exclusive tool outside of work.

I love the phrase “intelligence too cheap to meter”. For us, that plays out as every random piece of our lab equipment soon will have a 140+ IQ. An anecdote was that in the early days, as we were quickly scaling up materials synthesis, we had technicians and scientists recording data on our characterization machines. This is the usual way. But when the scientists couldn’t keep up with our throughput, we made a script to programmatically capture the data. That scaled nicely, but we found the data wasn’t particularly useful. It wasn’t a complete or intelligent record of what happened experimentally. It also didn’t have the context for what we intended to do. We weren’t only interested in the mean behavior but were looking for anomalies or details that programmatic capture often missed. Now, with improving AI that is (almost) too cheap to meter, our data capture is both scalable and intelligent. The system knows the intent behind what we’re doing, can review our full records, and can direct and find the interesting evidence using the machine. And that improved data capture yields ever more useful future AI systems. It’s our own real lab version of Rick and Morty’s butter robot: “what is my purpose?”, “you watch the characterization machine”, “oh my god”.