Started saving to buy Trump's gold card.

The future of programming is going to be super high level with or without AI.

Anthropic got the best interpretability team.

Check out this video Scaling Interpretability by Anthropic

I'm getting back into sparse autoencoders after a while.

This is interesting, how is tensorflow beating Jax in a normal 10,000 × 10,000 matrices multiplication(element-wise)?

Anway, if you only need per-element operations, use multiply() (very fast) and tf will be faster than jax.

If you need actual matrix computations and wanted to do dot product, use matmul() (takes much longer time). JAX is the best for it

What’s the point of having 54 Presidents/Prime Ministers in Africa? Wouldn’t 1 or 2 be enough to run the continent the way it's now?

All the countires in the world with not much progress in AI/ML are spending their time on AI policy discussions and on ethical AI!

Well, they are doing the right thing, what if they make AGI and don't have the policies right?

I once visited a place which was used for slave trade. It's horrifying to say the least.

Happy Victory day.

Happy Adwa 💪.

I'll not be eating any non injera foods for the day :)

The curse of optimization: When it's accurate, it's slow. When it's fast, it's wrong.

This is cool but I wonder how many external API requests there are and if this is feasible as business but overall it's a cool.

This's so impressive wtfruits!!! 🔥

Lucy — Multilingual AI Voice Assistant & Chatbot for Ethiopians
• https://www.linkedin.com/posts/zemenu_lucy-next-generation-ai-ugcPost-7298736880336920576-HD8B

I was impressed at the Amharic TTS and also when bro wrote amharic in english "endezih" and it understood. Not to mention it scrapes telegram channels and understands major Ethiopian languages,

How can a startup says they work on AI, blockchain, nanotech, quantum computing etc and all while being Africa-based. They're not disrupting the market, they're defying physics.

If United win today, I don't see any reason why AGI won't happen soon.

Spent the last 2 weeks exploring JAX(I've some prior experience) for no particular reason, for most of the time Numpy outperforms it for a few things I tried esp CPU and low GPU requiring tasks, but I'll try to train/inference in big models like Gemma to see the difference.

If you hated PyTorch for not being functional, then go for JAX.

I really want to know if anyone worked with JAX extensively and see how your experience was.

Here is a very good notebook to learn more by some friends: Notebook

Oh and Deepmind uses JAX😉

Better Auth is 500 stars away from 10k stars ✨ could you please give us a star if you haven't ;)

https://github.com/better-auth/better-auth

Llama 3.2 400M Amharic

This is a smaller version of the Meta's Llama-3.2-1B decoder transformer model pretrained from scratch for 23 hours using a single A100 40GB GPU and 274 million tokens of Amharic text.



https://huggingface.co/rasyosef/Llama-3.2-400M-Amharic

Hey guys good news :)

Better Auth has been accepted into Y Combinator's Spring 2025 batch (X25)! 🎉

Myself and @kinfishfarms, will be part of YC's first spring batch. Super excited and thanks everyone here for being part of my journey so far :)) but a lot more to come!

Congrats @beka_cru on this🎉, let's not make fun of him at least for today 😂

OpenAI is the company that's going to take us to the next chapter !!!

Btw how can I make my papers title like this, or something quirky like "Attention is all you need" 😂