#huggingface

[deepdreamnights]

Car-Ley Quinn

You'd think she'd be a motorcycle, but she's actually a clown car, probably full of robot hyenas with a variety of colors and gimmicks.

She was made with a combo of Stable Diffusion, Photoshop, Midjourney and a variety of huggingface spaces.

[adafruit]

The local AI stack just got its long-term home 🤗❤️

Open-source + AI: ggml joins Hugging Face, llama.cpp stays open… the people closest to the tools are governing the tools. No cloud required, no API keys, no terms that change on you overnight.

https://blog.adafruit.com/2026/02/20/open-source-ai-ggml-joins-hugging-face-llama-cpp-stays-open-local-ais-long-term-home/

[kenyatta]

I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a com

Thom Wolf, the co founder of Hugging Face wrote this the other day about how the current AI is just “a country of yes men on servers”

History is filled with geniuses struggling during their studies. Edison was called "addled" by his teacher. Barbara McClintock got criticized for "weird thinking" before winning a Nobel Prize. Einstein failed his first attempt at the ETH Zurich entrance exam. And the list goes on.

The main mistake people usually make is thinking Newton or Einstein were just scaled-up good students, that a genius comes to life when you linearly extrapolate a top-10% student.

This perspective misses the most crucial aspect of science: the skill to ask the right questions and to challenge even what one has learned. A real science breakthrough is Copernicus proposing, against all the knowledge of his days -in ML terms we would say “despite all his training dataset”-, that the earth may orbit the sun rather than the other way around.

To create an Einstein in a data center, we don't just need a system that knows all the answers, but rather one that can ask questions nobody else has thought of or dared to ask. One that writes 'What if everyone is wrong about this?' when all textbooks, experts, and common knowledge suggest otherwise.

“In my opinion this is one of the reasons LLMs, while they already have all of humanity's knowledge in memory, haven't generated any new knowledge by connecting previously unrelated facts. They're mostly doing "manifold filling" at the moment - filling in the interpolation gaps between what humans already know, somehow treating knowledge as an intangible fabric of reality.”

[jothwip]

In other news, The users of the Decentralised and Open Source alternative to Twitter are mad about the platform being Decentralised and Open Source

The anger has sparked off an arms race of different developers writing scripts to collect more and more data. The users of the decentralised platform on which all posts are public and easily accessible are left in confusion at how such a thing could have happened

[marroniere]

how do you guys find out if your fics have been scraped by Hugging Face?

[irradiate-space]

"It's all stolen" is an interesting critique of modern ML/AI tools, because critics who rely on copyright infringement as the basis for their objection to ML/AI tools expose a vulnerability to public-domain data.

Here's the newest largest English dataset, entirely based on verified public-domain texts:

Releasing Common Corpus: the largest public domain dataset for training LLMs

A Blog post by Pierre-Carl Langlais on Hugging Face

How will objections to ML/AI develop in response?

[moonrabbitgaming]

so i put in moon rabbit cookie on that funny ai generator website and

looks like she’s now following her mother’s footsteps!! (but fr tho these concepts look awesome)

[no-static-at-all]

My contribution to this trend