ChatGPT wins. @inproceedings{Mitchell2019ModelCards, author = {Margaret Mitchell and Simone Wu and Andrew Zaldivar and Parker Barnes and Lucy Vasserman and Ben Hutchinson and Elena Spitzer and Inioluwa Deborah Raji and Timnit Gebru}, title

Cool to see Google AI Summary recognize me as an author on Model Cards, but seriously sucks for all other authors, who are erased and instead replaced with utterly hallucinated people. Gosh the shoving-AI-down-throat continues to be annoying. @article{mitchell2019model,

Really delighted that I was able to speak to @_KarenHao on @MorePerfectUS about the "AI Psychosis" problem. It's a great piece with key details on the issue, check it out!

Great recap of security risks associated with LLM-based agents. The literature keeps growing, but these are key papers worth reading. Analysis of 150+ papers finds that there is a shift from monolithic to planner-executor and multi-agent architectures. Multi-agent security is

Portland tonight:

SEA: https://t.co/lykysF7onx PDX:

Super happy to announce that University of Zurich (@UZH_en) just joined @huggingface Academia Hub 🇨🇭🎉 Their students and educators get a better access to collaboration and compute features (including ZeroGPU power) on the Hub. 🔥

🎭 😱 📣 Portlanders and Seattlites!! Come see the "Birth of Horror" on film: Some the first visual recordings of the horror genre, ca ~1900, from around the world -- for the first time with *sound* (score + foley)! October 27th (SEA) / 29th (PDX)!! 🧵 https://t.co/hVueUP3Msb

Y’all realize that when you don’t use a muscle, the muscle atrophies yeah? Degradation of critical thinking because of AI use is now being found in critical domains; the metaphor below is apt.

Congrats to @SashaMTL, @mmitchell_ai, @ClementDelangue & @julien_c for making the @observer's Top 100 AI Power Index. The @huggingface team is working on big things atm, and we can't wait to share it all with you! 😗 🤗 🔥 Full list here: https://t.co/PEHC9dglya

Thanks to creators @kortizart ( https://t.co/89X6fbzvpA; visual artist) and @bcmerchant ( https://t.co/8oqFNSaklq; writer/journalist) for their leadership on this issue, and thanks to @nitashatiku and @kevinschaul for their work on this piece.

🤖 Great piece about how GenAI generates amazing visuals. Critically, creators whose work powers GenAI want to be able to consent to having their work used. That core issue gets drowned in discussions about a related but distinct issue: copyright. https://t.co/3DFbKiRiAC (1/)

@huggingface This work is only possible due to the amazing team at @Gradio , and especially with collaboration on the code from @abidlabs and Yuvraj Sharma.

@huggingface While I can't condone the generation of AI content in many of the forms it's taking right now, I can work on some tools that grapple with the realities of its societal impact. Do your parents use social media? Have you looked at their feeds recently? Yah, let's make watermarking

🤖 As AI-generated content is shared in movies/TV/across the web, there's one simple low-hanging fruit 🍇 to help know what's real: Visible watermarks. With others @huggingface , I've made sure it's trivially easy to add this disclosure to images, video, chatbot text. See how:

New Sunday Times profile in which I succeed, like a fencer in a 2hr marathon match, in fending off Qs abt my personal life & consistently turning focus back to my work & ideas. Contra the interviewer's claim, many ppl do know me! They're called friends, & you know who you are ❤️

> If you're developing a video generation demo > and you worried about video being mis-used > here is a very simple low hanging fruit that you can do: > simply add a text watermark on @Gradio > by setting watermark field on the video component > and that's it!

Doing one of my infrequent X check-ins to find the CEO of X, a U.S. company, advocating for a foreign government to bomb another U.S. company. Please consider leaving y’all, this isn’t a healthy place to be and messes with you in psychologically problematic ways. 🦅

Reasoning is about variable binding. It’s not about information retrieval. If a model cannot do variable binding, it is not good at grounded reasoning, and there’s evidence accruing that large scale can make LLMs worse at in-context grounded reasoning. 🧵