Christian Sanz

We’re heading toward a world where autonomous systems will be everywhere. They will move people, goods, sensors, and even decisions without asking for human input. Today, we only see the early signals. A few drones in the air. A handful of self-driving trucks. Some real-time sensing of key infrastructure. But the truth is we still see very little. At best, we capture five percent of our own terrain in real time. Satellites give us fragments. Drones give us glimpses. Most of the world, most of the time, is still invisible. That is going to change. At some point, every square inch of land and ocean will be monitored continuously. Machines will scan, interpret, and update the state of the physical world with no gaps and no delay. That data will be available not just to us, but to whoever gets there first. The same shift is coming to logistics. Right now, we move things within the limits of what humans can manage. Flights are scheduled. Trucks are driven. Operators are assigned. But once autonomy becomes the default, the scale of movement changes. We will see a four or five-fold increase in volume. Goods will be transferred instantly. People will be relocated without pause. Entire networks will function without waiting for human authorization. This introduces a different kind of power structure. The question becomes who owns the pathways. Who sees what. Who can act first. This has nothing to do with ideology and everything to do with speed, saturation, and reach. The systems that dominate communication, transportation, and sensing will also shape which forms of government persist. Those with the clearest picture and the fastest ability to respond will set the conditions the rest of the world has to live within. We like to believe that the future will preserve the values we care about. But that depends on who gets there first. And what they decide to build. I’m obviously biased. As a U.S. Navy veteran, my bet is on the United States. Not just to build faster systems, but to build ones that reflect something deeper… our values, our way of life, and the belief that power should still answer to people. That only happens if we pay attention. If we stay in the race. If we lead. 🇺🇸 cc @USAvionix @pmarca @Benioff @garrytan @rauchg @elonmusk @nikitabier @naval

Underrated life advice: Make yourself easy to root for. Be kind. Be reliable. Celebrate other people’s wins. Work hard without complaining. Carry good energy into rooms. You'll be shocked by how many doors open for you by making life better for others.

@wolfejosh @Casey My kind of board meeting 🤙🏼

My beyond better half gave me hall pass to go on a boys surf strike to 🇸🇻 El Salvador (on Mother’s Day). Forever grateful❤️🙏 “Board meetings” Quick 🏄🏻‍♂️🎥highlights by incomparable @Casey

@shaunmmaguire Agreed

I know this sounds insane I read "Extraordinary Popular Delusions: And the Madness of Crowds" as a teenager I thought AI would likely have a bubble phase 18 months ago But now I think this is 1000x bigger than the Industrial Evolution This is an evolution of our species

@bznotes I didn’t know El Segundo was happening

Met a young person who said “I am headed to El Segundo for the next week. Don’t know anyone there but will just hang out, call up random people in startups to chat with, and absorb the energy.” Quite honestly I haven’t heard that about any other place besides Silicon Valley.

@wolfejosh This was hard to watch towards the end. Thanks for hsaring Josh

A must watch

@bznotes 😂

Saw a Waymo on a tow truck yesterday. And realized these tow truck drivers may still have a job 20 years from now.

Portless killed :3000 Dev servers got stable names like myapp.localhost Agents could use worktrees in parallel without stepping on each other Now it's easier than ever in v0.11 Just run: portless Zero config. Zero args. Zero code changes.

@garrytan @ClementDelangue 💯

America needs to go much harder on open source models

@pascal_bornet Tesla def feels more human than Waymo

A few self-driving taxis in San Francisco just demonstrated the real problem with autonomy. They were too rational. For a brief moment, several robotaxis aligned at an intersection and created a perfectly polite deadlock. No aggression. No improvisation. No human-style “you go, I’ll go.” Just algorithms waiting for clarity. And that is exactly why this moment matters. What interests me is that this was not a failure of sensing. The vehicles could see. The problem was social judgment. Because cities are not just physical systems. They are negotiation systems. They run on: → tiny signals → hesitation → assertiveness → eye contact → imperfect timing That is where autonomy gets much harder than people think. We are not only teaching machines how to detect objects and follow lanes. We are asking them to operate inside messy human environments where the right move is not always the most logical one. To me, that is the deeper lesson. The next frontier in self-driving is not just better perception. It is better judgment under uncertainty. And that is a much more difficult problem. What do you think matters more for autonomous vehicles now: seeing the road better, or learning how to navigate human ambiguity? #AI #AutonomousVehicles #SelfDrivingCars #FutureOfMobility #Innovation #Technology #SmartCities #MachineLearning #FutureOfWork

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture. I opened the playlist at 2am and ended up watching three of them back to back. His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra. Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach. Here's the story almost nobody tells you. Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds. The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away. The decision quietly changed how the world learns math. For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb. Strang inverted the entire curriculum. He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood. His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct. The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room. For 62 years. The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet. Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos. His final lecture was in May 2023. The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out. His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right. That was it. No book promotion. No farewell speech. No legacy management. The man whose teaching is the foundation of modern AI just thanked the audience and went home. 20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge. The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free. The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

@bznotes Amen

Pretty scary that our most important leaders of the government were at risk today. President Trump, Vice President Pence, and House Speaker Johnson were all in that room. From multiple attacks against our president to attacks against politicians around the country, to attacks on politicians and leadership around the world - these are abhorrent, and people everywhere should vehemently oppose and condemn them!

@Uber you closed a support ticket without fixing a lost and found problem !!!

@visegrad24 what a coward … Lifetime in jail …

A 14-year-old has been arrested in NYC after stomping on a 15-year-old girl’s head for refusing to give him her phone number 🇺🇸

@bznotes @BradPorter_ 10000%

Easiest time in history to start a company. Hardest time to build one. The founders who make it know something others don't — and they're paranoid enough to assume that advantage is temporary. They don't just build moats. They also build speed. @bradporter_ and I got into this on Deployed EP3.

@vkhosla 100% i'm sure it is... invasion of privacy / class action...

Why isn’t this illegal without an explicit opt in by the user?

@NicolasZu Great work !

Ok this is a truly insane NEW way to design for me, WITHIN Codex If you are doing dev on a web technology, watch below In that video: - I am playing my game within Codex (yes) - I use a codex-made tool to design buildings (see some tweets below it's really powerful) - I can ask Codex to iterate and the game changes WITHOUT refreshing - I can point at UI elements - I can take a screenshot All WITHIN Codex It makes iterating on design incredible

MOST PEOPLE: 6-12 months escalate → discuss → roadmap “let’s circle back” HEAT SEEKER: 1-2 days isolate → fix → ship “done”

Get rid of passengers and talkers. Reguide thrashers. Invest in killers.

@bznotes Done 💓

Periodic reminder: Call your parents. You might make their day! In my case, they are my biggest supporters, my guiding light, and the roots I return to frequently to find my place and purpose.