These are not CGI. Reinforcement learning is so back.... When operating on strings, it gives us o3. When operating on physical motors, it gives us a perfect humanoid backflip and a robot creature that out-maneuvers almost every animal on earth. RL is one of the only learning algorithms that can master both the world of bits and the world of atoms. Give me a reward function, and I shall move the world. 2025, Year of RL.show more

TESLA HALTED MODEL S AND MODEL X PRODUCTION TO... BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for itshow more

This tech maps the physical world in 3d and... snaps it perfectly to my camera feed at 60 fps. Visual Positioning Systems (VPS) are the under hyped backbone of spatial computing. This is how we connect the world of bits & atoms.show more

AI has had exactly two scaling axes that worked... so far, and the second one is starting to look finite too the first one was pretraining: with scaling parameters and data, we got world knowledge (i.e. ChatGPT had read enough to know things), but it started saturating a while ago the second one was RL, and people had been doing RL the whole time before that: RLHF is RL but it never scaled far because it was trying to control the exact output, which tokens come out, how the text reads, but you can only push that so far before you’re just polishing RLVR dropped that constraint: giving the model a task, then checking whether the final answer is right, and ignoring everything in between -- so the model does whatever it wants in the middle and only the endpoint gets graded, and that’s much closer to actual RL and it’s what bought us planning and reasoning (arguably, tool use sits around 2.5 on this list -- while useful, it's not a different kind of thing) so one axis gave knowledge, the other gave reasoning, and both of them are one model working alone the next axis is how many models you can get working on the same problem, which is a different kind of axis than the previous two we know that multi-agent RL has always been the harder problem: I spent years in that literature and the gap between single-agent and multi-agent is definitely not incremental -- it’s a whole different class of difficulty! which is also why the derivatives are steep at the start, nobody has picked the easy wins yet... and the thing that gates this multi-agent coordination is communication: models can only coordinate as well as they can exchange information, and right now they do that by writing sentences to each other imagine what could we possibly achieve if we properly open that third axis development by letting models to exchange information in their native "language" without loosing any computational data that they produce during inferenceshow more

Finally, I saw it. The beauty and soft tenderness... Of the main Christmas tree of Ukraine. Honestly, I love it so much. It gives us light. It gives us hope that the darkness will go away. Tonight, in Kyiv, Hope is glowing.show more

Red mercury, in the language of the alchemists, is... not a metal but the hidden fire of the blood; the condensed, living current that refuses to be captured by surface, by ego, by the world of appearances. The mirror can only reflect what has already hardened into form; it cannot hold what is still becoming. Garlic however, the pungent guardian of the threshold, does not repel a demon so much as it names the boundary: the dense, earthy, solar body will not host what feeds on shadow and imitation. So the experiment is not about a forbidden compound. It is about whether you know the reflection is you. When the substance of the soul will not appear in the glass, and when the old protections of the earth still work, you are being shown that consciousness is not an image, it is a current that can only be known by what it refuses to become.show more

One of the things not talked about enough is... the SOUND DESIGN of #JagunJagunMovie John Bars worked his a** off on this. It was really nice watching and learning from him… This is a throwback video of us recording the footsteps in Jagun Jagun…show more

This work makes a humanoid robot do simple parkour... moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.show more

if i were building an AI career today, i... would put more weight on physical AI the usual AI stack is becoming everybody’s baseline (same models, frameworks, agents, and weekend demos) that gives you speed. it also makes the purely digital layer easier to copy physical AI creates a different set of problems: sensors lie motors overshoot power runs out latency turns into a crash the physical world refuses to behave like a clean dataset this clip is the smallest version of that world: gravity changes → IMU measures tilt → code renders pitch and roll before a robot balances, avoids a wall, or follows a person, it has to sense what is happening around it if i were building the skill from scratch, i would spend a few hours each week on one small loop: sensor → data → decision → action i put together a practical ESP32 guide to that first layer, including a safe build and the path to a small obstacle-avoiding rovershow more

We are born into a world that hands us... a script. We are told what to believe, how to act, and who to be, long before we are old enough to choose for ourselves. Over time, these adopted beliefs form a heavy armor that hides our true nature and disconnects us from our trueselves and ancestry.Awakening is the quiet act of taking off that armor. It is not about learning something new, but about peeling back the layers of conditioning to reveal the ancient, unbroken roots waiting underneath. When you drop what you were fed, you finally stand firmly on your own ground.show more

We're closer than ever to a future where we... remap the earth 24/7 with a plurality of sensors -- phones, drones, cars, planes, satellites, and oh my! This physical 3D model of the world serves as the connective tissue between the world of bits & atoms. It's Tesla cars today, and AR glasses tomorrow. It's social media in our pockets, and ambient computing in our homes. The end result is a 1:1 digital twin of our planet and all activity in it. A perfect fusion of SIGINT + GEOINT to use intelligence parlance.show more

When the person that gives me all the attention... in the world is busy & can’t give me all the attention in the worldshow more

This is not a road. This is what taxpayers... get after being looted at every possible level. Income Tax on your salary. GST while buying the car. Road Tax for owning it. Massive taxes on fuel every time you drive. Toll on top of everything. And after collecting money from every direction, Govt gives you a road that looks like it was bombed yesterday. Then politicians stand in front of cameras and lecture us about "world-class infrastructure". At this point don't call it a pothole. Call it the taxpayer's return on investment.show more

Our Lord, give us in this world [that which... is] good and in the Hereafter [that which is] good and protect us from the punishment of the Fire.show more

Elon Musk gave the entire entertainment industry its expiration... date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.show more

There is something beautiful about the instinct of a... child to protect another. Before we learn the divisions that separate us, before we are taught to fear or distrust one another, there is within us a powerful capacity to care, to help, to protect, and to love. And yet we live in a world where our algorithms and media too often amplify the worst of humanity. The cruelty, the outrage, the selfishness, the division. Meanwhile, millions upon millions of acts of kindness, decency, grace, and compassion happen every day, often unseen and uncelebrated. We can begin to believe the lie that cruelty defines us, that selfishness is our nature, that the ties that divide us are stronger than the bonds that unite us. But there is so much goodness in this world. So many people looking out for one another. So many people stepping forward to help, to serve, to protect. We are at our best when we recognize that we belong to one another. That our strength is found not in selfishness but in service, not in division but in community, not in indifference but in love. And sometimes it takes a little child, stepping forward to protect those smaller than herself, to remind us of this profound truth. May we see more of this. May we be more of this.show more

part of the deal of having a following on... twitter is that no one really sends you products, it's not like Instagram in that way. so when I got a message offering me a free robot vacuum, I thought it was a scam, but this thing just arrived and is mapping out my house now 😳show more

Kedarnath is a tremendous space. The utterance of the... sound “Shiva” attains a completely new dimension and significance in Kedar. It is a space which has been specially prepared for this particular sound. When we utter the word “Shiva,” it is the freedom of the uncreated, the liberation of one who is not created. It is almost like on this planet, the sound “Shiva” emanates from this place. For thousands of years, people have experienced that space as a reverberation of that sound. This is also a place that has witnessed thousands of Yogis and mystics of every kind. When I say every kind, you cannot imagine those kinds. These are people who made no attempt to teach anything to anyone. Their way of making an offering to the world was by leaving their energies, their path, their work – everything – in a certain way in these spaces.show more

I spent some time last week vibe-coding "The Beginner's... RL Playground" a simple web tool for exploring many basic concepts in reinforcement learning. Users can adjust all sorts of parameters of the algorithm and environment and see the effects of those changes in realtime.show more