atulvi

Please add this one (my design) https://euclid.tulv.in/

Maybe you'll love my minimalist clock design https://euclid.tulv.in/

"5011 independent, personal blogs. One front page. Ranked by votes and freshness, shaped by you."

That line is so claude.

My old work using perlin noise https://a.tulv.in/noise-planets.html

How is this different from the chatgpt apple intelligence thing from last year?

This is cool, but also add the relationship between two entities on the edge as an edge label. Probably only when one node is highlighted.

My definition has always been making a new world changing discovery in physics or math.

Is there a similar one for IP?

It's based on wasmboy https://github.com/torch2424/wasmboy

I tried something like this years ago but using genetic algorithms https://a.tulv.in/genetic-art.html

There was also react vr

I made a webapp to shuffle youtube videos. Anyone can sign in and create channels - shuffled YouTube content just like a TV.

https://a.tulv.in/

Beautiful. I'll use this to train an AI on a few of my fave games

It's just an llm looking at every message and deciding if it's good or bad.

Why can't we have proper graphics on terminal? years ago I remember being able to use graphics.h to draw on MS-DOS terminal and print letters on it (text mode).

Euclid: A cool minimalist flip clock webapp https://github.com/avinayak/euclid

I want to know this too.

I've been wanting something like this! but how does it stick?

Simply enter a topic you're interested in, and Wikidive will explore Wikipedia to find TWO related topics that an AI model thinks are interesting. You can then choose to dive deeper into one of these topics. Each "dive" presents you with related topics that you can explore further, creating an engaging journey of discovery.

EDIT: How it works:

It asks an llm this prompt: "I was going in this rabbit hole of wikipedia articles: #{chain} \n I have now found these topics:\n\n#{related_topics}\n\n Select the 2 most mind blowing topics from the list and that I'd enjoy given my rabbit hole. Ensure two topics are not the same."

and pics two articles that it returns. This is slightly better than random.(related article names are obtained from wikipedia API).

Wikidive is an AI-driven exploration tool designed to help you discover interesting topics on Wikipedia.

Simply enter a topic you're interested in, and Wikidive will explore Wikipedia to find TWO related topics that an AI model thinks are interesting. You can then choose to dive deeper into one of these topics. Each "dive" presents you with related topics that you can explore further, creating an engaging journey of discovery.

EDIT: How it works:

It asks an llm this prompt: "I was going in this rabbit hole of wikipedia articles: #{chain} \n I have now found these topics:\n\n#{related_topics}\n\n Select the 2 most mind blowing topics from the list and that I'd enjoy given my rabbit hole. Ensure two topics are not the same."

and pics two articles that it returns. This is slightly better than random.(related article names are obtained from wikipedia API).

There are several offensively titled events. No moderation whatsoever. This is likely 100% vibe coded in a day.

Switched to Linux for gaming. Getting more FPS on Linux too.

can this be done on real hardware with a modified controller?

What timing. I just got Schuam's Trigonometry to practice over the weekend and start a pure mathematics journey today and I see this article.

hugged to death

Made with phoenix liveview

This is cool as hell.

Low quality AI comment

OK, developer here. Here is how it works. It connects to groq and asks this

"I was going in this rabbit hole of wikipedia articles: #{chain} \n I have now found these topics:\n\n#{related_topics}\n\n Select the 2 most mind blowing topics from the list and that I'd enjoy given my rabbit hole. Ensure two topics are not the same."

and pics two articles that it returns. This is slightly better than random.(related article names are obtained from wikipedia API).

Right now, I'm maxed on daily Groq usage and the app falls back to pure random choice.

Why two articles? I was kind of going for a hot or not style system.

Anyway, it was a fun experiment. Learned lots.