Okay I built it!
🍰 Infinite Slop
https://t.co/wz0a7VSBtS
An infinite and interactive AI generated live stream of slop that goes on forever and ever
Anything that you write in the chat is generated next and AI will try to connect it to the previous video so there's an actual sequence and story line
Idea by @marcantoinefon and @rehan_shei's original stream so I made it
It'd be very expensive to run this so @fal very generously sponsors this
They also fine-tuned the model that makes this possible for the first time, making Minimax H3 50x faster and as "Max" and it can now generate videos faster than you can watch them, very cool!
Let me know what you think!!!! 😊
Minimax H3 Max has generates video faster than you can watch it so I hooked it to a twitch livestream! Now you can watch infinite interdimensional cable - link to the stream below
Ya esta disponible el portal de opensource-colombia: https://t.co/FA8EjH0FKf donde pueden consultar todos los proyectos de código abierto creados por colombianos que están impactando el mundo. En Github pueden crear un issue con un proyecto que este no este en la lista.
We've spun up an exploratory platform where you can find an experimental open-weight LLM inference API. Free, no SLAs. Test your own use cases and tell us what works and what doesn't 🫡
No promises this becomes a permanent product: https://t.co/CE6YWbrTHz
When using agents, ensure that everything that can be deterministic, is done with a deterministic tool. Don't try to get the poor agents to follow a deterministic process.
We ran DeepSeek V4 Flash through 4 agent harnesses (Claude Code, Codex, OpenCode, Oh My Pi) on 30 agentic tasks.
A different harness won on each metric: success rate, cost, and speed. 🧵🧵🧵
T3 Code is now available on iOS and Android.
Run “npx t3 connect” in your terminal, install the app, and now you can control Claude and Codex fully remotely.
Still 100% free. Still 100% open source. Enjoy 🫡
We ran Kimi K3 through 3 agent harnesses (Claude Code, Hermes, Kimi Code) on 28 identical tasks.
All 3 harnesses completed the tasks at similar success rates, but the interesting story is token efficiency: the same task cost up to 30x more tokens depending on the harness. 🧵🧵
MCP 2026-07-28 is live and it's the largest update to the protocol since launch.
MCP is now stateless, making it easier to deploy and scale remote servers.
https://t.co/K8KqxbUh4e
me: let's rewrite the API in Rust
Opus (as advisor): it's an I/O-bound CRUD API, you're mid-feature, and your iOS app depends on the contract. don't.
me: all the cool kids are doing it
Claude: "cool kids" isn't a reason
the advisor tool in action!
anyone talking about their custom setups to make ai more effective isn't doing anything useful
coding used to be manual labor. typing the code out, doing large changes, jumping between files. a fancy, bespoke setup could make a difference
but it's not like that anymore, you have a magic box you can say stuff into and things happen
people haven't understood this, they're still spending their energy tinkering with what's behind the box. the underlying tone is always frustration. they're clearly not happy and maybe even on a burn out path
the best people at this are doing the best work of their life all while happier than ever they could do this even on a vanilla setup
the box can already do amazing things. it can even produce the best code of your life. it's limited entirely by the person using it and their creativity and their ambition
and you're not gonna get that in a skill file