Stoney

[Stoney @Castillonis]

@CasJam They may have adopted some of the same ideas from the opengame paper / repository and harness that uses templates and tasks
https://t.co/qRnNjDGAOx

[Stoney @Castillonis]

@clearbatchnet @bryan_johnson Rejuvenate the thymus for positive and negative selection. Apoptosis for T cells that bind to your own cells

[Sebastian Raschka @rasbt]

After 18 months of writing, coding, and experimenting, Build a Reasoning Model (From Scratch) is
finally out!

My first copies just arrived! 📚

440 full-color pages. Inference scaling, reinforcement learning, and distillation from scratch.

[Stoney @Castillonis]

@levelsio Ubuntu Linux or other Linux distribution

[Stoney @Castillonis]

@alksndr @uwunetes @theo rsync

[Stoney @Castillonis]

@FrankCurzio US started to attack again as planned. When do their buddies ever actually start to implement a cease fire or agreement medium term

[Stoney @Castillonis]

@TheCraigHewitt your video looks like AI

[Stoney @Castillonis]

@rburhum Estoy buscando el socorro antes de mi plan B no es válido

[Nav Toor @heynavtoor]

A developer in China named tw93 got tired of his laptop dying.

He would open Slack and watch 524 megabytes of disk space disappear. He would open Discord and watch another 265. He would open Notion and watch 800 megabytes of RAM evaporate before he had typed a single word.

He looked into why.

Every "desktop app" on his computer was the same thing. A website wrapped in a full copy of the Chrome browser engine. The framework is called Electron. An empty Electron app starts at 150 megabytes of RAM before you click anything. With twelve of them open, his laptop was running twelve copies of the same browser.

He thought there had to be a better way.

So in 2022, he started building one.

He called it Pake. Two characters in Chinese mean "packaging." He wrote it in Rust on top of a framework called Tauri. The idea was simple. Point Pake at any webpage. Get a desktop app. Without dragging an entire browser engine into the binary.

The first version of Slack he wrapped with it was 8 megabytes.

Not 524. Eight.

That is what 20 times smaller looks like.

Four years later, his repo has 50,594 stars. 6,144 forks. The license is MIT. The last commit was yesterday.

The bio on his GitHub reads: "Anything added dilutes everything else."

Today the Pake releases page contains pre-built apps for ChatGPT, Discord, Gemini, Grok, DeepSeek, Twitter, YouTube, Excalidraw, Flomo, WeChat, and twelve more. All under 10 megabytes. All native. All free.

Or you point Pake at any URL you want and it builds one for you in one command.

Slack's desktop app: 524 megabytes.
Pake-built Slack: 8 megabytes.

Discord's desktop app: 265 megabytes.
Pake-built Discord: 9 megabytes.

ChatGPT for Windows: 260 megabytes.
Pake-built ChatGPT: 9 megabytes.

tw93 is one person. He has 11,305 followers on GitHub. He runs a blog at https://t.co/WZoyHop8Id. He has shipped 39 public repos. He still pushes commits to Pake every week.

He did not start a company. He did not raise money. He did not write a Medium post about how Electron is dead.

He just shipped the thing that made it true.

(Link in the comments)

[Unsloth AI @UnslothAI]

GLM-5.2 can now be run locally!🔥

The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size).

Run on a 256GB Mac or RAM/VRAM setups.

GLM-5.2 is the strongest open model to date.

Guide: https://t.co/bI7FeeKHDd
GGUF: https://t.co/BMkxswdj5N

[Stoney @Castillonis]

@Hattusilis_III @Oliviacoder1 I was thinking the same thing. Bot ville

[Santiago @svpino]

Really cool way to find out which models you can run on your computer:

1. Install llm-checker
$ npm install -g llm-checker

2. Detect your hardware
$ llm-checker hw-detect

3. Get a recommendation
$ llm-checker recommend --category coding

Here are some of the recommendations I got:

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Gaurab Chakrabarti @Gaurab]

CordenPharma in Colorado is the largest peptide plant in America. It runs 10,000 liters of reactor capacity. WuXi in China runs over 100,000 liters across Changzhou and Taixing. Ozempic is assembled inside those reactors, amino acid by amino acid. The chain is 31 amino acids long. Each coupling adds error to the last. For a sequence this long, roughly half the batch comes out wrong. Volume is the only fix. Before synthesis can begin, every manufacturer on earth needs protected amino acids: chemically capped building blocks that bond in sequence instead of reacting at random. China produces more than half the global supply. GL Biochem in Shanghai alone is the largest peptide reagent manufacturer on earth. I build chemical plants. America doesn't make the chemicals it needs to make the things it needs. Washington is fighting over who can compound these drugs. China controls the molecule, the building blocks, and ten times the reactor capacity. And they're still building.

[Stoney @Castillonis]

Plants (like almost all living organisms) carry out cellular respiration 24/7. This process breaks down stored sugars to generate energy, consuming oxygen (O₂) and releasing carbon dioxide (CO₂) as a byproduct:
Respiration (day and night):C₆H₁₂O₆ + 6O₂ → 6CO₂ + 6H₂O + energy
During the day, when there's sunlight, plants also perform photosynthesis, which uses CO₂ and releases O₂ at a much higher rate than respiration. This is why plants are net oxygen producers and CO₂ absorbers overall.
Photosynthesis (daytime only):6CO₂ + 6H₂O + light → C₆H₁₂O₆ + 6O₂
At night (or in low light), photosynthesis stops, but respiration continues. So the plant releases a small amount of CO₂ into the air.

[@levelsio @levelsio]

🏆 For the first time in a decade on @Stripe I've started winning disputes with my vibe coded dispute responder

I used to ignore disputes so I almost always lost them, now I've started winning, this one is the first big dispute for $1,199 USD!

Whenever a dispute comes in, my site gets a webhook notice from Stripe, it then starts collecting evidence and generates a PDF with entire user's details, when they signed up, and most importantly what they did in the app

In this case the user used the app for months, generated thousands of photos then tried to get the money back from their bank

The evidence has to be REALLY detailed, and REALLY good, which is why it's perfect to vibe code it, you can get quite detailed with different types of users and activity on your app, and put that all in the PDF

I'm shocked because I again I never would win disputes before

People in US especially abuse the [ chargeback ] or [ dispute ] en masse, unlike the rest of the world, it's easily built into their banking app next to every transaction, so it's one tap to get free stuff. And why not? You get free stuff!

It's destructive for business owners like me on many levels, if I get over 1% disputes on my account, I risk getting shutdown permanently by Stripe, Visa and MasterCard, like permanently for life, not just my business but on my personal name too, it's ruthless

Disputes are also super expensive for business owners: you don't just pay back the amount they disputed, for every dispute you pay $30, which you only get back if you win!

But with AI we can now create our own tools to fight back against dispute abuse and finally win! 🎉

[Stoney @Castillonis]

@indiranegi @bryan_johnson What happens if you do both
Walk up hill with periodic squats during the walk. I need to do this with a monitor

[Stoney @Castillonis]

@alber70g @heynavtoor For TTS of translations, are open source such as XTTS V2 from Coqui, MeloTTS, Chatterbox Multilingual good solutions. Trying to avoid pronunciation glitches

[Navneet @navneet_rabdiya]

@heynavtoor Yeah the speed comes from batching + decoder parallelization. They pipe multiple audio segments through the encoder at once, then run decoders in parallel.

Key trade-off: uses more VRAM but way faster than sequential.

[Saint Nomad @Saint_n0mad]

a low-cost 6-DOF robotic arm built to escape simulation

custom gearboxes. modular joints. spherical wrist.

real world robotics isn't learned in gazebo.
it's learned when your PID loop oscillates and your gearbox binds

open source hardware that actually teaches you why things fail