Krumlar

Frogs-n-Dogs

Its it time? It's time.

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[Krumlar @CryptoKrum]

The current state of play.

[sysls @systematicls]

https://t.co/FQe5bCBqW1

[Nic Cruz Patane @niccruzpatane]

I don’t think people realize how utterly game changing @SpaceX AI Satellites are going to be.

These Satellites will basically be NVIDIA racks out in space that are being powered 100% by the Sun, which is absolutely FREE.

Instead of using grid electricity, on-site generation, or huge amounts of power and water for cooling, the GPUs get powered and cooled 24/7 at essentially zero marginal cost.

Honestly mind-blowing

[Krumlar @CryptoKrum]

The highest of praise!

[John Carmack @ID_AA_Carmack]

I admire Fabrice Bellard. He is almost certainly a better overall programmer than I am.

[lorenz0x.eth @lorenzodoteth]

The most in-depth Venice breakdown to date

If you're a tokenomics nerd, this is the one.

[Bryan Johnson @bryan_johnson]

For those of you who have a terminal illness, a chronic condition, or debilitating health issue, there is new reason to have hope.

New treatments are arriving that buy more time for the next to arrive. Even for the most vicious of diseases, for example, metastatic pancreatic cancer.

The recent breakthrough, daraxonrasib, nearly doubled overall survival, 6.7 to 13.2 months, with fewer side effects than chemo. It's hard to overstate the significance of this.

In a slow world, a few months doesn't matter much. In a fast world, that could mean the difference to make it to the next life-extending therapy.

We are on a long arc of getting increasingly better at solving disease.

In 1919, Elizabeth Hughes was diagnosed with type 1 diabetes. The only treatment was a starvation diet, which she did for three years. Her weight dropped to 45 pounds at age 14.

Then insulin arrived in 1922. It allowed her to live to 73.

And recently, Sid Sijbrandij used AI and existing biotech infrastructure to fight a recurring osteosarcoma that standard medicine had given up on. Today he has no evidence of disease.

A new era for life is here. It won't appear overnight. Nor will it be all sunshine and rainbows. But we are at the inflection point where hope can dare rise as the sun for those who have been stuck in the darkness.

[G.W. Jackston @galactiator]

Wow wow wow.

Must listen interview by @TrustlessState with @JonShapeShift and @jesseproudman from Venice @AskVenice $VVV

In my writings and posts, I’ve theorized about the financialization of inference and $DIEM’s role in that initiative. Great to hear directly from the team on this topic.

Very, very exciting. The Venice team gets it.

Never been more bullish on the future of where Venice can go.

Interview is littered with other incredible anecdotes and insights.

Go and listen.

[camron @camronmira]

This is the most bullish I've ever been on an investment in my investing career

[Krumlar @CryptoKrum]

@SithJohn @Ambar_SIFF_MRA @IAmSatterfield @JohnDavisJDLLM ...and the actual chart? what/who does the red part represent?

Did you read beyond the headline?

[Bankless @Bankless]

INTERVIEW - @AskVenice Is Here to Win: How Private AI Takes On OpenAI and Anthropic

@TrustlessState sits down with @JonShapeShift and @jesseproudman to unpack how Venice is taking on OpenAI and Anthropic with private AI.

They talk about:

- why AI is becoming the biggest data honeypot ever
- private @grok access through Venice
- unrestricted AI as a consumer wedge
- how non-crypto users still feed the $VVV economy
- $DIEM, tokenized inference, and AI agents

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TIMESTAMPS

0:00 Intro
1:12 Why Private AI Matters
3:01 The AI Data Honeypot
6:07 Venice’s Consumer AI Ambition
8:01 Beating the Big AI Labs
10:19 Model Aggregation and Agentic Chat
12:29 Open Source, Closed Source, and Private Grok
17:14 Who Actually Needs Private AI?
21:58 Venice’s User Base
23:53 What Drove Venice’s Recent Growth
27:21 $VVV, $DIEM, and Tokenized Inference
29:00 Where Venice Gets Its Compute
32:17 Bonding Curves and DIEM Monetary Policy
39:14 Real Tokenomics, Not Just a Pie Chart
45:46 AI Agents Need Inference to Exist
52:54 ShapeShift DNA Inside Venice
55:53 Regulation, AI, and Individual Rights

[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.

[exQUIZitely 🕹️ @exQUIZitely]

"Good evening, Professor. I see you have driven here in your Ferrari."

If I had to pick one intro that blew me away more than any other, it has to be the one from Another World.

This is as close to perfection as it gets. The pacing, the camera work (gliding through Lester Knight Chaykin's body and then seeing him from behind - pure genius), the subtle sound effects, the tension rising in perfect sync with the music, the way he casually sips a soft drink like a boss while running a particle acceleration experiment - and then gets blasted out of this world into… well, another.

Éric Chahi created this game almost entirely by himself. That was 35 years ago now, and anyone who played games back then still remembers it.

True greatness.

[Abhishek @MSDianAbhiii]

Declare this the photo of the year already.

[أسامة الواعظ @osamax300]

لم أجد أشبه بريادة الأعمال ومسيرة الشركات الناشئة من هذا المقطع:

[Charles @charles_wcr]

@WhiteHouse @POTUS @ufc Shits bad out there when these type of grand distractions are taking place

[Graham Linehan @Glinner]

This is going to run and run

[Krumlar @CryptoKrum]

@cannuk74 @InsideLucysHead did you read past the first 2 paragraphs?

[Krumlar @CryptoKrum]

@badecstasytrip @maniaUFO and its eye is still intact? LMFAO

[J. Holt the Illustrator @jholtillus]

I had never seen Ghost in the Shell until a few months ago. I assumed it would be underwhelming. It's a 90's anime and even if good —probably been done to death, right?

I was wrong, and this clip nestled in the middle demonstrates the unbelievable artistry of the film.

[World of Engineering @engineers_feed]

Voyager 1 is 24 billion kilometers from Earth.

It communicates with us using a 23-watt transmitter.
Less than a refrigerator light bulb.

The signal takes 22 hours to reach us, traveling at the speed of light.

By the time it arrives, it's 20 billion times weaker than the power of a digital watch battery.

NASA's Deep Space Network picks it up using 70-meter dish antennas cooled to near absolute zero to reduce electronic noise.

The engineering required to hear a 23-watt signal from 24 billion km away is arguably more impressive than the spacecraft itself.

Launched 1977.
Still transmitting.
Still being heard.

We built something that works perfectly, 47 years later, in conditions no one has ever tested in.

That's what engineering for the long term looks like.

[Mac @mac_eth]

If you have $DIEM, sell your unused inference on surplus.

I sold out of $600 worth of $DIEM on https://t.co/ivF538pcOT today.

Inference demand is picking up again.

[slash1s @slash1sol]

MIT DEDICATED A FULL LECTURE TO GIT'S INTERNALS -- BECAUSE THEY FOUND MOST DEVS MEMORIZE THE COMMANDS AND HAVE NO IDEA WHAT THE TOOL ACTUALLY DOES

A whole 85 minutes MIT session that refuses to teach git as a list of commands to copy, and instead shows you the data model underneath -- the thing that makes every command finally make sense.

-> The moment it clicks, git stops being scary magic. You stop memorizing "The incantation that fixed it last time" and start actually knowing what's happening.

Most people learn just enough git to not get fired. Four commands, blind faith, and a prayer before every merge.

In 2026 that's not enough anymore -> git is the literacy test for being in the room, and "I'll just reclone it" is the fastest way to look junior.

An AI agent will branch, commit and rebase faster than you can read. When it tangles the history, untangling it runs on understanding the model MIT teaches in this one hour.

Anyone can run git push. The person who understands the graph underneath is the one who saves the repo when it breaks.

Bookmark & Watch it ↓