https://youtube.com/channel/UCotwjyJnb-4KW7bmsOoLfkg I tell the origin story of modern ideas. Each video follows an ancient problem through modern times. Writer/Producer: Brit Cruise. www.artoftheproblem.com www.britcruise.com This channel was originally supported by Khan Academy and early collaborations with IEEE Society. TV & Film Podsync generator (support us at https://github.com/mxpv/podsync) en-us Sun, 27 Sep 2026 23:33:35 +0000 Sun, 12 Jun 2011 01:30:22 +0000 https://yt3.ggpht.com/EdsPHCpSdB2IkmVUtA5V0aNiuNoFSJGH6paWeyhTtjzvxraHyH0lbs8zUpYRGBuFRrKkmjTNzQ=s800-c-k-c0x00ffffff-no-rj https://youtube.com/channel/UCotwjyJnb-4KW7bmsOoLfkg Art of the Problem Art of the Problem yes no mIfmUHiMN3U https://youtube.com/watch?v=mIfmUHiMN3U Try GrowBot now: https://growbot.dev/start This is the follow up to my first video I Gave ChatGPT a Body. My goal is to take the technology in a modern humanoid and see how cheap/fast/easy I can make it for anyone to do the same thing at home in under 1 hour and less than $100. This is my answer.... This project is my attempt to become advertiser free forever! background: Anyone with an old smartphone can now wake up an AI creature and give it a body. I spent over a year building my first robot from scratch wiring every sensor by hand, and after that video blew up, over 10,000 people asked for a kit. Then chip shortages made that plan fall apart, and I stumbled onto something better: the phone in your drawer already has a better chip and better sensors than anything I was soldering together. So I put one in a pizza box, bolted on two legs, and it walked. The scary version of robotics is top-down: a few corporate robots nobody outside the company can inspect. The version I want is millions of small ones you fully control.... open it, read it, retrain it, run any model you want. Fri, 31 Jul 2026 11:21:32 +0000 Art of the Problem I Gave ChatGPT a Body Part 2 9:14 no 3 S67z2aekBrI https://youtube.com/watch?v=S67z2aekBrI Make Your GrowBot now: http://www.growbot.dev/start PART 2 NOW LIVE: https://www.youtube.com/watch?v=mIfmUHiMN3U This video a story of my adventure with AI robotics... Try Mammouth AI now at http://mammouth.ai I called this project GrowBot...what's the simplest possible robot that can learn everything from scratch? Raspberry Pi Zero 2, two servos, a camera, an IMU, a battery, some 3D printed parts. I trained small neural networks in simulation so it could walk, stand and spin in a lifelike way. Then I handed control of the motors to a vision language model. It read its raw sensor data, wrote its own code, built profiles of the people it met, and dreamed between sessions to clean up what it had learned. It worked better than I expected, until it hit a wall. Which kept pointing back to the same question. How do you act smoothly when thinking is slow? That sent me into how nature solves the problem (the cerebellum), and it turned out to be exactly what the robotics field is converging on right now. I'm planning to make a super simple course soon as well as kits if you want. Sign up for Growbot: https://artoftheproblem.com/pages/growbot and for curious: Snapshot of video BOM: https://github.com/britcruise9/GrowBot 0:00 The robot that didn't want to be alone 1:15 Meet GrowBot 2:21 Building the $80 body 3:51 Sponsor 5:01 Learning to move (System 1) 7:05 First magic moments 8:20 Handing the controls to AI 11:38 Personality and Disney mode 15:03 Memory, agents, and dreams 17:36 The wall: physical dumbness 19:23 Nature's trick: the cerebellum 23:23 DayDreamer and the converging architecture 26:20 Alpha test Fri, 22 May 2026 14:18:11 +0000 Art of the Problem I Gave ChatGPT a Body 27:25 no 5 NmCRQPITE2g https://youtube.com/watch?v=NmCRQPITE2g How do you tell the difference between noise and a mind? In 2017, a signal arrived from 3 billion light-years away that looked like language...Use code aotp at https://incogni.com/aotp to get an exclusive 60% off.This video traces the history of detecting radio signals from space, from a WWII radar accident to pulsars to the Wow! Signal, and builds toward a mathematical filter for intelligence using the work of Zipf, Shannon, and the SETI Institute. It also includes a commentary on how mondern LLMs may play a role in decoding... This is a deep dive into some topics I covered 12 years ago in my Information Theory series updated with modern findings. For much more check my information theory series: https://www.youtube.com/watch?v=p0ASFxKS9sg&list=PLbg3ZX2pWlgKDVFNwn9B63UhYJVIerzHL Support this work: https://artoftheproblem.com/products/music-to-think-to https://www.patreon.com/c/artoftheproblem https://www.youtube.com/ArtOfTheProblem/join 0:00 A signal from 3 billion light years away 1:03 How do we build an intelligence filter? 1:14 The first radio signal from space 2:05 What is a radio wave? 2:51 Jocelyn Bell's homemade receiver 3:19 The background hiss of our galaxy 4:20 Spectrograms: fingerprinting a signal 5:03 The hydrogen line at 1420 MHz 6:01 The Wow Signal 6:43 Incogni 7:54 Pulsars: Little Green Men 9:06 A message requires change 9:17 August 26, 2017: a signal with symbols 9:52 What does nature normally produce? 10:24 White noise and the Gaussian distribution 11:51 Colored noise: randomness with momentum 13:23 Zipf's Law: the fingerprint of language 14:48 Nature fakes the Zipf slope 16:18 Shannon's deeper filter: entropy 17:20 Doyle's intelligence test 18:07 The final filter 18:27 How could we read an alien signal? 19:35 Large language models: Shannon's impossible machine 20:22 The universal shape of meaning 21:00 The question that remains 21:38 Music To Think To -- REFERENCES: The Signal: FRB 121102 — Breakthrough Listen detection (Aug 26, 2017): https://breakthroughinitiatives.org/news/22 AI uncovers 72 additional bursts from the same data: https://seti.berkeley.edu/frb-machine/ History of Radio Astronomy: James Hey discovers solar radio emission (1942): https://en.wikipedia.org/wiki/James_Stanley_Hey Karl Jansky discovers the Milky Way in radio (1933): https://en.wikipedia.org/wiki/Karl_Guthe_Jansky Jocelyn Bell discovers pulsars (1967): https://www.cam.ac.uk/stories/journeysofdiscovery-pulsars The Search for Intelligence: Morrison & Cocconi, "Searching for Interstellar Communications" (1959): https://www.nature.com/articles/184844a0 The Wow! Signal (1977): https://www.bigear.org/wow.htm Wow! Signal 30th Anniversary Report: https://www.bigear.org/Wow30th/wow30th.htm Information Theory & Intelligence Detection: Shannon, "A Mathematical Theory of Communication" (1948): https://ieeexplore.ieee.org/document/6773024 Zipf's Law: https://en.wikipedia.org/wiki/Zipf%27s_law Doyle et al., information theory applied to animal communication & SETI: https://www.sciencedirect.com/science/article/abs/pii/S0094576509005682 Gutenberg-Richter earthquake frequency law (1944): https://en.wikipedia.org/wiki/Gutenberg%E2%80%93Richter_law Decoding Animal Communication: MIT CSAIL / Project CETI — decoding sperm whale clicks: https://news.mit.edu/2024/csail-ceti-explores-sperm-whale-alphabet-0507 Project CETI: https://www.projectceti.org/ NASA Visualizations used: Solar flare: https://svs.gsfc.nasa.gov/11605/ Magnetar: https://svs.gsfc.nasa.gov/20359/ Milky Way: https://svs.gsfc.nasa.gov/14935/ Pulsar: https://svs.gsfc.nasa.gov/10582/ Tue, 10 Mar 2026 01:01:27 +0000 Art of the Problem The Alien Signal That Looked Intelligent 22:47 no 7