Long live open-source models!
https://github.com/QwenLM/Qwen3

How accurate is this? 😂
https://hoodmaps.com/addis-ababa-neighborhood-map

The holy grail of mechanistic interpretability is:
- Fully understanding how a neural network makes its decisions—step by step, neuron by neuron—kind of like being able to read a computer program that the AI "wrote" inside itself.

But why would we need to fully understand how a neural network makes its decisions? 🤔
- Control: It helps us make models do what we want and only what we want.

What things do we want or not want?
We don't want bad behaviors. And if we understand what the model is doing internally, we can detect and fix bad behaviors (like bias, deception, or unexpected actions).

The question then becomes, "Do we have a universally agreed upon set of bad behaviors?"
I don't think so, but if that's the case who gets to define these "bad behaviors"?

I'm thinking of deleting this channel. What do you guys think?

Let's do a poll that lasts for like 24 hours 😅

To those that feel like being here doesn't provide them with any value, I give you my permission to leave 😅 No hard feelings 😄

I guess I'll keep the channel around for God knows how long since there are some people that find it useful.
In the near future, I'll hopefully add the capability for anyone to be able to post. Until then, lemme know if you've got interesting content to share, I can make you an admin 😅

That's it I guess. Thank you.

I love Reddit 😂

I need someone to sit me down and help me understand what the team over at Lucy AI did beyond building a fancy UI 😭

And no I'm not hating on them, if anything I appreciate the efforts they putting towards making LLMs accessible.

This took only a couple of minutes to set up 🤷‍♂️

I just heard about Filament. Man, PHP has a nice ecosystem!

I was talking to a Russian dude once and he told me PHP was created to promote the dollar sign 😭😂 And he was dead serious. If that isn't delusion, I don't know what is 😂