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Wei Bo
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lead protocol engg @huddle01com
1.4K Following 529 Followers 1.9K Posts
Latest posts 5
boot time down from ~40s to ~13s, available RAM up from ~250MB to ~600MB
always wanted to do this, but previous debloating attempts were underwhelming, so kept putting it off
saw this post and gave it another shot on my 8 year old tv with just 1GB RAM and a ton of bloatware. turns out, it works surprisingly well on tv's
always wanted to do this, but previous debloating attempts were underwhelming, so kept putting it off
saw this post and gave it another shot on my 8 year old tv with just 1GB RAM and a ton of bloatware. turns out, it works surprisingly well on tv's
my parents' old Android TV was full of bloatware and sponsored rows you couldn't turn off.
so I had Claude rip it all out.
Claude Code ran on my Mac mini and did everything over ADB.
it disabled the bloatware, the tracking and the auto-installers, and uninstalled 11 apps nobody used.
free RAM went up about 90%.
then it built a custom launcher with just the apps they actually use.
and every change can be undone with one command.
honestly it feels like a new TV now.View quoted post on X
i made the new Roadster land with its thrusters… by turning JavaScript code into a neural net 🚀
used Handwired and gradient
descent to figure out when to fire the thrusters and stick the landing
all running in the browser
used Handwired and gradient
descent to figure out when to fire the thrusters and stick the landing
all running in the browser
My dear friends, I’d like to show you my latest toy project
Introducing Handwired: turn your regular JavaScript code into a neural net!
- no training
- exact outputs vs the JS program
- fully differentiable
All runnable in a browser, without GPUView quoted post on X
wanted to understand @_chenglou’s Handwired a little better, so i built a tiny rocket that learns to land 🚀
the entire simulation is a neural net written in TypeScript. ran it backwards with gradients to find the thrust inputs that land it
no pretrained models. all in the browser
the entire simulation is a neural net written in TypeScript. ran it backwards with gradients to find the thrust inputs that land it
no pretrained models. all in the browser
My dear friends, I’d like to show you my latest toy project
Introducing Handwired: turn your regular JavaScript code into a neural net!
- no training
- exact outputs vs the JS program
- fully differentiable
All runnable in a browser, without GPUView quoted post on X
HOLY SHIT, JEV IS AMAZING!
Saw this and immediately built the same thing for Telegram Bots - instant generative UI powered by jev 🤯
gram-render 👇
Saw this and immediately built the same thing for Telegram Bots - instant generative UI powered by jev 🤯
gram-render 👇
0:09
New experiment: json-render + jev
The future Generative UI is instant
Your components, your actions, your design system
Rendered in millisecondsView quoted post on X
