What if NEPA actually gave you a heads up before taking your light? 👀
I’m working on a Telegram bot for that. It tracks your disco so you get
* real time power updates
* alerts when power is low
* alerts when power is back
Launching soon 🚀
#BuildInPublic
We built https://t.co/ESOyv3KDeM to ship shaders on https://t.co/pLuAOUwBOE. Now it's open source.
▪︎ Minimal agent-first WebGPU library
▪︎ Run in the browser or headless Node.js
▪︎ Render in CPU sandboxes and CI tests
▪︎ Create reusable .wgsl modules
How I turned random references into a consistent set of AI hero images.
Here’s the full process, prompts, and revisions I used 👇 https://t.co/og9qc7Swxv
If you’re not reading the code, whether explicitly or through agentic inquiry, one or more of these is true:
○ You’re a beginner
○ Software is throwaway
○ You’re prototyping
○ You have no users / revenue
○ You’re taking on debt & risk
○ Your problems are basic
And btw. All of this is fine. But the reality is that models are still not at the “full autonomy” stage yet.
They make rookie mistakes, they go down bad architectural paths. I just had the best model in the world add a nonsensical 700ms delay to “settle” something and it told me “you’re right, I was cargo-culting” 🤨
I am on the camp that this need will diminish more and more. Most code is indeed going to be assembly-like. But we also have the global internet and software infrastructure riding on these models and narrative, and we have to respect that.
Most African founders are building for a customer who can't afford them.
Nigeria's GDP per capita? Around $1,000 a year. Down from over $3,000 a decade ago.
But the pitch decks still price like it's San Francisco.
@TimeyinPI Preston Ideh, CEO of @StearsData, breaks down the data Africa keeps refusing to look at.