Nader

Quit talking, start doing

[Nader @nadcsr]

Clawn is concluded for now.

It produced 333 clown images, and a surprisingly large pile of strange, interesting thoughts along the way.

Making art this way feels genuinely new to me. It’s a weird, fertile process.

It’s also expensive.

Archive: https://t.co/C71cQb3f4i

[Nader @nadcsr]

$SPCX did $1.3B volume on Hyperliquid the last 24h 🤯🚀

[Nader @nadcsr]

@masatoalexander @session_cruz I agree and same goes with a lot of other blockchains. one of the few dApps is actually Hyperliquid where I thought this would happen on an already existing EVM or non EVM chain

[Robert Sterling @RobertMSterling]

> you’ll never start a rocket company
> you’ll never build your own engines
> you’ll never be able to use off-the-shelf parts
> you’ll never survive three launch failures
> you’ll never reach orbit
> you’ll never win NASA’s trust
> you’ll never launch cargo to the ISS
> you’ll never compete with Boeing
> you’ll never compete with Lockheed
> you’ll never make rockets reusable
> you’ll never land a rocket vertically
> you’ll never land one on a drone ship
> you’ll never reuse a booster
> you’ll never fly the same booster 10 times
> you’ll never fly the same booster 20 times
> you’ll never fly the same booster 30 times
> you’ll never recover and reuse the fairing
> you’ll never lower launch costs
> you’ll never launch every month
> you’ll never launch every week
> you’ll never launch multiple times a week
> you’ll never carry astronauts
> you’ll never replace Roscosmos
> you’ll never fly civilians to orbit
> you’ll never manufacture satellites at scale
> you’ll never build the biggest constellation ever
> you’ll never make satellite internet work
> you’ll never make satellite internet fast
> you’ll never make satellite internet affordable
> you’ll never serve rural customers
> you’ll never serve aircraft and ships
> you’ll never build a methane rocket engine
> you’ll never make full-flow staged combustion work
> you’ll never build the most powerful rocket ever
> you’ll never build a rocket bigger than Saturn V
> you’ll never build it out of stainless steel
> you’ll never launch Starship
> you’ll never separate Super Heavy and Starship
> you’ll never relight Raptor in space
> you’ll never bring Super Heavy back
> you’ll never catch a booster with Mechazilla tower arms
> you’ll never launch 85% of mass to orbit worldwide
> you’ll never change the economics of space
> you’ll never force the entire industry to copy you
> you’ll never win
> you’ll never IPO

Congratulations to @elonmusk and the SpaceX team. You did what countless people said was impossible, and you did it time and time again.

Today is your day. You deserve this. May it be a glorious one.

[aril piterpen @aril_piterpen1]

barista ketika nyuci baju

[Nader @nadcsr]

@aljaparis @zachlieberman Brilliant 😁

[Aleksandra Art 🇺🇦 @aljaparis]

still one of the best things:

DOOM but make it with art & wine 🍷

[Aryan @justbyte_]

This looks accurate 😂😀

[Nav Toor @heynavtoor]

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.

You thought it was you. It is not you.

Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.

Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.

The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.

Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.

What remains is the average. The safe. The expected. The bland.

Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.

They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.

The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."

The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.

This is not a prediction anymore. It is a diagnosis.

The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.

Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

[Nader @nadcsr]

@TheBestqueenx https://t.co/6gTPOlJo21

[Trader Theory @tradertheory]

Demo account vs. live account

[hrdk @hrdktwt]

Someone on Reddit built a game where you ride a dirt bike on top of any company's stock chart.

[Ramin Nasibov @RaminNasibov]

Money Lisa

[Vaibhav Sisinty @VaibhavSisinty]

Okay this is genuinely insane.

SpaceX just unveiled a satellite whose only job is to run AI. Not internet. Not GPS. Just compute, floating in orbit.

It's called AI1, and the reason behind it breaks your brain.

AI data centers on Earth are hitting a wall, not a chip wall, a physics wall.

They need staggering amounts of power and water just to stay cool, and we're running out of grid and land to build them.

So Musk's answer is: stop building them on Earth.

In orbit, the sun never sets. Free power, 24/7. No water for cooling, you just radiate heat into the vacuum of space. The two things choking AI on the ground barely exist up there.

And here's the wild part: Musk says it's easier to build than a Starlink satellite. Strip out the complex antennas and it's "a lot of solar cells, a radiator, and some laser links."

One AI1 carries the compute of an Nvidia GB300 rack, the same hardware data centers fight over down here.

AI1 is just the first one. The plan is a constellation of up to a million of them.

And the timing isn't an accident, SpaceX goes public this week at a ~$1.75 trillion target. This isn't a rocket company anymore. It's positioning itself as the power grid for AI, in space.

The race for AI compute just left the planet. Literally.

@SpaceX

[Kr$na @krishdotdev]

It's not FAANG anymore.

It's MANGO.

[Spencer Baggins @bigaiguy]

A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.

He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.

His name is Fabrice Bellard.

Here is the story, because almost nobody outside the systems programming world knows what one man has built.

Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.

In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.

Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.

He was not done.

In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.

He kept going.

In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.

In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.

Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.

Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org

He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.

A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.

He is still shipping.

[Wimbledon @Wimbledon]

Grass court season is here 🌱

[Roland-Garros @rolandgarros]

Full joy 🏆

#RolandGarros

[Ramin Nasibov @RaminNasibov]

Tiramisu Valley

[Yuchen Jin @Yuchenj_UW]

Before AI, I’d spend a weekend building 1 useless app.

Now I can build 67 useless apps over a weekend, each with a logo, a fancy webpage, and 0 user.

[Wise @trikcode]

Before AI, I had 5 unfinished projects.
After AI, I have 128 unfinished projects.