An epic open source contribution from meta

Quick update

I'm pivoting to two products

#friday is here

Today's project was an interesting experiment

When Copilot first launched, LLMs were relatively weak and slow. We were forced to train custom, small-parameter code completion models, and that became the industry standard.

But why are we still doing that? General purpose llms have become powerful and we now have inference providers that deliver 2000+ tok/sec

So, I decided to test a new approach.

I used gpt-oss-120b on Cerebras to build a tab-autocomplete extension for VSCode. Its as fast as copilot and sometimes faster (with reasoning enabled lol)

The major advantage here is flexibility. For instance, I was able to get the model to treat comments as prompts and actionable instructions, rather than wasting tokens (like copilot) auto-completing them.

The sky is the limit here. This approach could eventually replace chat interfaces, have a auto-complete.md, and make agentic decisions. Much more to explore in the future! 🤟

[Code]

Great ads worked because they were rare and hard to make

If everyone can make great ads then people will just get desensitized to it

Ads already have such a low conversion rate. The reason that huge companies like coca cola show ads is to subconsciously influence your decision making. They are maintaining a brand not trying to grow it.

So just because you can make an amazing high quality ad, it doesn't mean you'll get users.

I'm very skeptical on media generation. I'm willing to change my mind but only when I see it's utility in the future. Let the dopamine rush die out and let's see people use it then.

So far African tech bros were making a very decent living doing the usual programming jobs.

Now AI is one shotting them and we will all be forced into doing the real hard technical jobs that AI isn't good at

Net benefit for the continent

everything is e/acc everything is adaptation

There's so much stuff coming out right now its hard to keep up

$0.0025/image
0.84s/image ⚡️
6B parameter


https://huggingface.co/Tongyi-MAI/Z-Image-Turbo

I ran qwen-3 0.6B model which is only 500mb on my laptop and it generated this website for a restaurant

we are at the precipice of something

SuperTonic a TTS model that can run on an e-reader

Huggingface | Website

This is what I'm making for today

I just finished understanding how the image encoder works 😅

Ya this project ain't getting finished today

ML is so beautiful man 🫠

It's where math and cs meet together and become art