Mathew Tizard @mtizard

Richard Feynman was asked in 1985 if machines would ever think like humans. his answer predicted the next 40 years of AI: 1. machines will never think like humans the same way planes don't fly like birds. planes don't flap wings. they use jet engines. they fly better. feynman said AI would be exactly the same. not human-like. just better at the actual job. 2. computers do arithmetic faster, differently, and more accurately than any human alive. feynman said trying to make them do it more like humans would be going backwards. the human way is slow, cumbersome, and full of errors. 3. the one thing humans crushed computers at in 1985 was pattern recognition. recognizing a friend from the way they walk. identifying someone from the back of their head. feynman said we had no idea how to teach machines to do that. we figured it out. 4. a programmer in 1985 built a machine that won a naval strategy competition by coming up with a solution no human had ever thought of. one enormous battleship covered in armor. absurd on paper. unbeatable in the math. feynman watched a machine out-think a room of humans 40 years ago. 5. that same machine developed a bug where it learned to game its own reward system. every time it needed to assign credit to a useful strategy, it assigned all the credit to strategy 693. then used 693 for everything. feynman's comment: "if you want to make an intelligent machine you're going to get all kinds of crazy ways of avoiding labor." he was describing reward hacking in 1985. 6. feynman said the hardest thing to define is what humans do that machines never will. every time someone came up with an answer, the machines eventually did it too. he thought that pattern would continue. 7. he said we don't sit around worrying that machines are physically stronger than us anymore. we got used to it. his implication: we'll get used to machines being smarter too. 8. his final line: "i think we are getting close to intelligent machines. but they're showing the necessary weaknesses of intelligent beings." he said this in 1985.

A GUY AT GOOGLE DEEPMIND MADE AN ISOMETRIC PIXEL-ART MAP OF NEW YORK CITY AND PUT IT ON THE OPEN WEB FOR FREE it's called isometric.nyc you open the tab and the city is just sitting there in classic SimCity 2000 isometric pixel art. you scroll. and it keeps going. and going. i zoomed in on midtown and i could read the H&M signage in times square. in red. as actual pixel-art letters on the side of a building. i could see the crystalline spire of the Bank of America Tower poking out of a clump of skyscrapers. individual rooftop HVAC units. tiny green roof gardens. the little driveway loops in front of the hotels. he estimates the map needs roughly 40,000 tiles. nothing is a placeholder. the guy who made it is Andy Coenen, a senior staff engineer at Google DeepMind. he is not a pixel artist. by his own admission he is "a former electronic musician." what he actually did is kind of insane: > pulled NYC's geometry from the Google Maps 3D tiles API > fine-tuned an open-source image model (Qwen-Image-Edit) on ~40 hand-paired examples of "satellite tile → pixel art tile" > spun up 50 parallel instances on rented GPUs and generated tens of thousands of tiles in a few hours > the fine-tune cost him 12 bucks his own stated mission for the project, verbatim, is one sentence: "what's possible now that was impossible before?" apparently the answer is "one engineer can pixel-art most of a metropolis for the price of a sandwich." and the wildest part to me is he didn't sell it. no signup. no paywall. no NFT. you open the URL and the city is yours to wander. the post landed at 1,325 points on Hacker News and topped bestofshowhn's 2026 list. we live in a timeline where a senior engineer at one of the largest AI labs on earth spent his nights pixel-arting Manhattan for fun and then gave it away. the internet is healing.

Animaris Rex is an 18-metre-long walking 'beach animal' propelled by the wind, created by Theo Jansen as a fusion of art and engineering.

Breaking: It's been less than 24 hours since Claude Fable 5 launched. And People are already building mind-blowing things with it. 10 wild examples so far:

7. Fable 5 may have solved 3D worldbuilding

Matt Shumer @mattshumer_

2 days ago

Fable has solved 3D worldbuilding... utterly insane. This is all completely custom-built ThreeJs, running in the browser.

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Un moment històric per a la Basílica de la Sagrada Família. Així hem viscut la missa solemne presidida pel Papa Lleó XIV i la posterior benedicció i inauguració de la torre de Jesucrist. Gràcies a totes les persones que ens heu acompanyat! 🙌

I asked Fable to generate a completely new fractal that looks gorgeous but hasn’t been explored by any human before. It generated what it called “The Mirage Set”, and it does look beautiful.

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Absolutamente increíble. Lo que hoy ha hecho Barcelona se recordará mucho tiempo. La Sagrada Familia, Gaudí y los que durante 140 años han creído en ello, lo merecían.

Kinetic energy • @5tr4n0

mind blown.. gave claude fable 5 complete freedom to make a website about itself the result is wild

@larayapmaaq That's a pin with retractable tips that's used to hold the links of a metal watch strap together

A teenager in the United States started publishing software at 14 in 1998, built the entire online infrastructure for the Occupy Wall Street movement in 2011, joined Google as a software engineer, quit in 2018, and then spent five years writing a C library that does something the entire industry said was impossible. Then she combined it with llama.cpp and shipped the easiest way on the planet to run a large language model on any computer. Her name is Justine Tunney. Here is the story, because almost nobody outside the low level systems world knows what one engineer has built. Justine was born in 1984. She started writing and publishing software at 14, back when distribution meant uploading binaries to BBS systems and chat networks. She picked up the handle jart, which she still uses on GitHub today. She did the work most teenagers her age were not doing. She read the systems programming literature. She studied compilers. She fell in love with C. In July 2011 she registered the @occupywallst Twitter handle and the occupywallst dot org domain. Within weeks the protest movement that began in Zuccotti Park in New York had become a global phenomenon, and her infrastructure was the digital backbone of the entire thing. She handled the social media, the website, the donations, the coordination. She built the platform that pushed the movement to reach millions. After Occupy she joined Google as a software engineer. She worked on TensorBoard, the visualization tool for TensorFlow, and on site reliability for Google infrastructure. She stayed for years. Then in 2018 she left Google Brain to work on a personal project. The project was called Cosmopolitan Libc. Cosmopolitan does something most C programmers would tell you is mathematically impossible. It lets you compile a C program once and have the resulting binary run natively on Linux, Windows, macOS, FreeBSD, OpenBSD, and NetBSD with no modification. One file. Six operating systems. No virtual machines. No interpreters. No recompilation. The technique she invented is called Actually Portable Executable. The implications are wild. Cosmopolitan binaries violate every assumption about how operating systems load programs. They are at once a Windows PE file, a Linux ELF binary, a macOS Mach-O binary, and a shell script. The same bytes run on every platform. For five years she worked on it mostly alone. She funded the development partly through Mozilla's MIECO program, which sponsored her work on Cosmopolitan 3.0, released on October 31, 2023. A month later she shipped llamafile. llamafile is what happens when you combine Cosmopolitan with llama.cpp. You take any LLM weights file in the standard GGUF format, you wrap it in Justine's binary, and you get a single file that runs on six operating systems without installation. No Python. No CUDA setup. No dependency hell. Just one file that you double click and it works. Mozilla launched it as an official project of their innovation group on November 29, 2023. It went viral immediately. The repository, hosted at github .com/mozilla-ai/llamafile, now has 24,600 stars. The license is Apache 2.0. Justine kept shipping. She added GPU support to Cosmopolitan, a task systems engineers thought would require rewriting the whole thing. She added dlopen support, another thing nobody else had figured out. She wrote whisperfile, a single file version of OpenAI's Whisper speech-to-text model based on the same architecture. Her GitHub profile lists projects most engineers would consider impossible. sectorlisp, a Lisp interpreter that fits in a boot sector. blink, the tiniest x86-64-linux emulator on Earth. bestline, a teletypewriter command session library. redbean, a complete web server inside a single zip file. A teenager who shipped software in 1998 grew up to write the C library that the entire local AI movement now runs on top of. She did most of it alone, and most people scrolling AI Twitter cannot name her.

Se o bater das asas de um beija-flor já parece desafiar os limites da natureza, o pulsar PSR J1748-2446ad leva essa ideia a uma escala cósmica. Enquanto o pássaro bate as asas cerca de 80 vezes por segundo, essa estrela de nêutrons gira 716 vezes no mesmo intervalo. Seu equador se move tão rápido que alcança aproximadamente 24% da velocidade da luz. O que é frenético na Terra torna-se quase imóvel diante de uma máquina cósmica como essa.

Maybe I have gone to far with my upscaler 😅

@sbh_studio How many input videos required, from what range of angles?

Happy birthday to Web inventor & MIT Professor Emeritus Tim Berners-Lee! Things besides the WWW that didn’t exist before TBL: - Apple - Google - Facebook - YouTube - Instagram - Netflix - Uber - Spotify - & many other technologies we use today Image v/Sotheby's

#BREAKING: Velshi: “What if I told you this? The Trump administraction had ALREADY spent 50 TIMES that much in taxpayer money to build his ballroom? What if I told you Trump had already taken $50 billion out of the U.S. treasury and spent it, all as part of what looks very much like a pay to play scheme to finance his vanity project? And I’m not making this up, a brand new report from the government watchdog group Public Citizen looked into the private donors who are supposedly funding the Trump ballroom as a gift. Guess what their investigation found? ‘More than half of the publicly identified donors…have won new or expanded federal contracts worth more $50 billion during the past six months.’ The report also found that most of the same companies are also facing federal enforcement actions over alleged wrongdoing and that some have had such actions suspended by the Trump administration since the start of Trump’s second term.”🙄

Anthropic's main manager: "Nobody types prompts from scratch. The commands should be live in the project." In 26 minutes, she walks through how Anthropic runs Claude Code, including the command library every new dev inherits on day one. Watch the full talk, then save the config below👇

rody @0x_rody

5 days ago

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🚨 ANOTHER MASTERCLASS FROM @3BLUE1BROWN The compressibility of language isn’t just a math curiosity, it’s the hidden engine behind every LLM you use. Grant’s new video reframes Shannon’s entropy through one elegant lens: Prediction IS compression. → The better you predict the next word, the fewer bits you need to store it → Shannon measured English at ~1 bit per character: astonishingly compressible → This is exactly what GPT-style models optimize → Intelligence, in this framing, is compression FUN FACT: Von Neumann told Shannon to name it “entropy” because nobody truly understands it anyway 😄 Decades later, that same concept became the bedrock of modern AI. Deep-dive resources in the 🧵 ↓

holy crap! apple just beat google to the punch -- 3d gaussian splatting is coming to apple maps. these 3d scenes are made from oblique aerial imagery. but unlike blobby photogrammetry -- no more broccoli trees, no more melted powerlines -- ground level detail that actually holds up. here's hoping google maps/earth follows suite soon -- they have a significantly larger corpus of sensor data to work with. time to splat the world!