AI Overlords

Well, I guess the idea that humans will have nothing valuable left to do in the age of AI is going around again, so it is a good time to repost this article

KIMI FOUNDER JUST DROPPED A 40-MINUTE MASTERCLASS. The exact architecture behind a $20B valuation — there's no faster way to learn how to build AI agents right now. Bookmark this for the weekend. 40 minutes. zero fluff. from the person who built it. Optimization → Linear Attention → Sub-Agents → Open Systems → Cash

@pmarca Yet another flavor of, "What is the utility of a machine that contains all the answers when you have no idea what question to ask?"

@pmarca Just as writing a movie or novel requires a certain type of skill, directing a movie demands a different set of skills. It’s quite uncommon for someone to possess both skills simultaneously.

Co-sign.

The quality of animation you can create on your own is truly amazing. We really are just limited by our imaginations at this point. Go tell your story! Made in @runwayml in a few hours and a handful of gens.

@clawvisor So I’m confused - so if I let it send/delete the XYZ, I need to approve it once and it can send/delete any time forever. How is the difference from permissions (delete-no) Humans tend to gloss over stuff like this anyway it’s like ok button in terms of conditions

Introducing Clawvisor, the authorization layer for AI agents. Before today, giving access to your agents was all-or-nothing. Now, you can give your agents access that is scoped to your specific task. If your agent drifts or is compromised, it's blocked. Try it today for free.

Play with it here 👇 pushmatrix.github.io/tearable/ This doesn't use html-in-canvas (yet) because I wanted it to work on all devices. It's especially fun to tear using 2 fingers on mobile.

@trysaperly Sounds a lot expensive than Twilio etc. what’s the difference?

Any MCP-compatible AI agent can use the phone carrier service to obtain a his phone number in seconds: saperly.com

Introducing Saperly.com The first phone carrier built for AI agents, not humans. Agents are making more and more real-world connections, but they’re stuck with infrastructure that isn’t built for them. Saperly changes the game by empowering your agents with a unified phone number for both calling and messaging.

The most underrated thing about @shadcn: it has NO opinion on how your app should feel. YOU bring the personality. YOU bring the taste. Shadcn/ui primitives give you the best place to start. Here's what mine became fluidfunctionalism.com (fully open source) Thank you @shadcn

Introducing the Human Creativity Benchmark. The first eval that scores AI models the way creative experts do.

Agents make ugly UIs because they've never seen good design. We've been fixing that, 2,000 DESIGN.md files from the world's best products, structured for a model to read and learn. Colors, type, spacing, layouts and more. Free. styles.refero.design

Happy to share something I've been building: Phosphene A free local video+audio generator for Apple Silicon, running LTX 2.3 in MLX. Built with a lot of help from Claude. Mostly works. There are bugs. PRs welcome. One-click install via Pinokio. 🧵

Vibe Code App

is this the most cinematic animation ever? i can’t believe I made it with claude + 1 prompt

use at your own risk: madera.app (can’t wait to see what yall build)

Agency is a muscle. Tools can strengthen it — or let it atrophy. @ivanhzhao

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.