Gianyrox

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[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Vince Langman @LangmanVince]

This video wins the internet today!

You can't get this kind of joy from video games!

[Gianyrox @Gianyrox]

why is google rebraning

[Rimsha Bhardwaj @heyrimsha]

A 17 year old in his mother's kitchen in New Jersey unlocked the iPhone in 2007 so it could run on any carrier in the world, and 18 years later he is the only person on Earth trying to break NVIDIA's monopoly on AI compute from his apartment in San Diego with a 12,000 line piece of code.

His name is George Hotz. Most people call him geohot.

The framework he built is called tinygrad. It is open source. It is MIT licensed. And it is what he believes will end the trillion dollar moat around CUDA.

At just 17, George became the nightmare of tech giants. He did it in his mom's kitchen with a soldering iron and an eBay-bought original iPhone. Apple had locked the device to AT&T. He unlocked it in 500 hours of work over a summer. He uploaded a video to YouTube. The world lost its mind.

Three years later he reverse engineered the PlayStation 3 and put the keys on the internet. Sony sued him. The case settled. He kept hacking.

Elon Musk noticed. He tried to recruit George to fix Tesla's Autopilot. George's response became legend. "I don't want to work for you. I want to beat you."

In 2015 he started his own self-driving car company called comma AI out of a garage. He sold a $1,500 device that you plug into your Honda and it drives itself on highways. The thing actually worked.

Then in November 2022 he walked away from his own company to start something most engineers thought was impossible.

He decided to break NVIDIA.

NVIDIA is worth around 3 trillion dollars right now. Every serious AI lab on Earth runs on NVIDIA GPUs. The reason is not the silicon. AMD makes silicon that is comparable on paper. The reason is CUDA, the software layer NVIDIA spent 20 years building that nobody has been able to replicate.

CUDA is what people in the industry call a moat. A trillion dollar moat.

George looked at this and decided one person could rewrite it.

He started tinygrad in late 2022 as a neural network framework so small you could read the entire codebase in an afternoon. PyTorch has millions of lines of code. Tinygrad fits in roughly 12,000.

His bet was that if you could write a framework small enough for one human to understand, you could port it to any hardware on Earth in months instead of years.

He bought six AMD Radeon 7900 XTX cards, the consumer gaming GPUs you can buy at Best Buy, and tried to make them train AI models. AMD said it would not work. The drivers were too unstable. ROCm, AMD's official software stack, was famously broken.

For two years George fought AMD publicly on X. He posted bug reports daily. He called out AMD's CEO Lisa Su by name. He live streamed himself debugging firmware crashes at 3 in the morning. The AMD subreddit followed it like a soap opera.

Then in March 2025 something changed.

AMD shipped him two MI300X data center systems, the same chips that power Microsoft and Meta's AI infrastructure. AMD's lead GPU software engineer Anush Elangovan posted publicly that he was working closely with tinygrad to "commoditize the petaflop."

George wrote a blog post titled "AMD YOLO" the same day. Tinygrad now has a fully sovereign AMD stack. They rewrote the entire pipeline from the hardware up to PyTorch compatibility. Their own driver. Their own runtime. Their own libraries.

The line that broke the AI infrastructure world was this one. NVIDIA is either massively overvalued or AMD is massively undervalued. The hardware is similar. CUDA is not the moat people think it is.

The whole thing runs on roughly 12,000 lines of code.

You can buy a Tinybox from him today. Six AMD GPUs in a custom chassis. Around $15,000. It trains models. It works.

NVIDIA spent 20 years building the deepest moat in tech.

A solo hacker just walked across it.

[Charly Wargnier @DataChaz]

With Voicebox, @ElevenLabs just lost its moat.

→ Powered by Alibaba's Qwen3-TTS for near-perfect cloning
→ Ships with a DAW-like "Stories Editor"
→ No cloud, runs locally on your machine

100% Open Source. 100% Local.

Link to repo in 🧵↓

[patagucci perf papi @kenwheeler]

so uh, codex and forgecad are actually nuts

[alby13 @alby13]

Asimov v1 is now Open Sourced

[Alex Finn @AlexFinn]

Do you understand how cool this is?

On my desk is a DGX Spark running a Hermes agent powered by Qwen 3.6

It runs 24/7/365 doing tasks for me. Doesn't matter if the internet goes out. I have super intelligence running for me at all times

Next step I want to get a Tesla solar roof so I'm dependent on NOBODY to run my intelligence.

Even if they cut off my power I'll keep going.

This is the future. Sovereign intelligence.

[TexasTSLA @TexasTSLA]

Wait we can just plug in a Mac Mini to our Teslas?? 👀👀😱😱

[Even Realities @EvenRealities]

You can now run your coding terminal from your glasses, wherever you are.

Terminal Mode is live.

#DevTools #BuildInPublic #coding

[Sam Altman @sama]

we have updated our partnership with microsoft.

microsoft will remain our primary cloud partner, but we are now able to make our products and services available across all clouds.

will continue to provide them with models and products until 2032, and a revenue share through 2030.

[Paul Branham @BoilerPaulie]

👀 Trading card sales are going parabolic again like they did in 2020-2021

[Kevin McKernan @Kevin_McKernan]

This account was nuked by science long ago.

Their panic about tech progression is really an admission that they can no longer trust the elites to spoon feed them conclusions and they might actually have to read the methods sections for once.

[CardChase @CardChaseFun]

You can now short or long pokemon cards prices.

[Gianyrox @Gianyrox]

@cremieuxrecueil that’s why I built https://t.co/PGKZbx527H

[Crémieux @cremieuxrecueil]

Science is about to get absolutely nuked.

Unless we get extremely strict about providing and opening up code and data and documenting lab experiments rigorously, a torrent of credible-looking but fraudulent papers is upon us.

[Gianyrox @Gianyrox]

@Kevin_McKernan absolutely that’s why I’m working on https://t.co/PGKZbx527H

[Gianyrox @Gianyrox]

that’s what https://t.co/PGKZbx527H is for

[Garry Tan @garrytan]

Science needs open source and open data now more than ever

[Gianyrox @Gianyrox]

@0xSerag @mattrickslauer https://t.co/83WMpnQgAq *