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Yacine Jernite

@yjernite.bsky.social

Head of ML & Society at Hugging Face 🤗

45 Posts504 Follower216 Folgt
Dr Sasha Luccioni@sashamtl.bsky.social · 12mo ago

Think AI's rising energy demands aren't your problem? Think again! ⚡ In our commentary, @yjernite.bsky.social and I explain how AI & data center expansion is making energy bills rise in the US, what the mechanisms driving this are, and why it matters. www.techpolicy.press/how-your-uti...

How Your Utility Bills Are Subsidizing Power-Hungry AI | TechPolicy.Press

The next few years will be pivotal for determining the future of AI and its impact on energy grids worldwide, write Sasha Luccioni and Yacine Jernite.

techpolicy.press

Tech Policy Press@techpolicypress.bsky.social · 12mo ago

As tech firms keep adding the largest and most compute-intensive AI models into more and more aspects of our digital lives, they are increasingly dependent on a growing share of existing energy and natural resources, leading to rising costs for everyone else, write Sasha Luccioni and Yacine Jernite.

How Your Utility Bills Are Subsidizing Power-Hungry AI | TechPolicy.Press

The next few years will be pivotal for determining the future of AI and its impact on energy grids worldwide, write Sasha Luccioni and Yacine Jernite.

techpolicy.press

Avijit Ghosh@evijit.io · last yr.

New blog post alert! 🚨"What is the Hugging Face Community Building?", with @yjernite.bsky.social and Irene Soliaman The AI narrative focuses on big players, but the real story is happening in the open source AI ecosystem across 1.8M models, 450K datasets, and 560K apps, on @hf.co.

Dr Sasha Luccioni@sashamtl.bsky.social · last yr.

One of the biggest frustrations I have is the lack of transparency around AI's energy use and environmental impacts. I know the numbers are out there... but somehow we're not seeing them 🫠 Thank you @wired.com for covering this topic in such depth and detail ! www.wired.com/story/ai-car...

How Much Energy Does AI Use? The People Who Know Aren’t Saying

A growing body of research attempts to put a number on energy use and AI—even as the companies behind the most popular models keep their carbon emissions a secret.

wired.com

Lucie-Aimée Kaffee@frimelle.bsky.social · last yr.

❗️New policy blogpost! The EU is speaking a lot about sovereignty. A cornerstone of digital sovereignty is and has to be open source. As AI becomes more central, the ability to govern, adapt, and understand these systems is no longer optional.

Alex Hanna@alexhanna.bsky.social · last yr.

Off-mark from @sanders.senate.gov. We need progressive legislators to not buy into the clown show from AI CEOs. Labor replacement is not real, labor displacement is. We need regulation to protect workers and anticipate the kind of worker speedups that employers buying into the hype will cause.

A tweet from Bernie Sanders. It reads: The CEO of Anthropic (a powerful AI company) predicts that AI could wipe out HALF of entry-level white collar jobs in the next 5 years. We must demand that increased worker productivity from AI benefits working people, not just wealthy stockholders on Wall St. AI IS A BIG DEAL.
Dr Sasha Luccioni@sashamtl.bsky.social · last yr.

We just integrated the new Qwen3-8B into Chat UI Energy and asked it to do a simple multiplication problem. What's the energy cost? → Without reasoning: wrong (😅), but low energy use → With reasoning: correct (!!)… but using 42x more energy!

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Yacine Jernite@yjernite.bsky.social · last yr.

Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on @hf.co 🤗 HF Spaces have tons (100Ks!) of cool demos leveraging or examining AI systems - and because most of them are OSS we can see exactly how they handle user data 📚🔍 1/4 🧵

Interface of Space Privacy Analyzer app, describing how it reviews Hugging Face Spaces for data privacy concerns, with a pre-loaded example for the Hugging Face demo app for SmolVLM2A TLDR report generated by the Spaces Privacy app outlining the different types of data used and where they go when using the app
Yacine Jernite@yjernite.bsky.social · last yr.

This is *extremely* cool I'm increasingly excited about using the OLMo based apps for daily use - I find the playground genuinely better than the commercial apps whenever I need some originality, and the transparency/privacy guarantees are just so much stronger

Ai2@ai2.bsky.social · last yr.

For years it’s been an open question — how much is a language model learning and synthesizing information, and how much is it just memorizing and reciting? Introducing OLMoTrace, a new feature in the Ai2 Playground that begins to shed some light. 🔦

Alex Hanna@alexhanna.bsky.social · last yr.

We wrote about this in thecon.ai: with enterprise deals, employees will be initially highly encouraged to use synthetic text generation machines. But at some point, it'll become required to justify the cost.

THE AI CON

How to Fight Big Tech's Hype and Create the Future We Want

thecon.ai

Pavel@spavel.bsky.social · last yr.

Per leaked memo, Shopify is making AI tools mandatory, whether they help or not. This is exactly like RTO - "we paid for all of this (empty real estate/magic beans) so you better start using it." Then the C-suite can pat themselves on the back for making a wise (real estate/magic beans) investment.

1. Using Al effectively is now a fundamental expectation of everyone at Shopify. It's a tool of all trades today, and will only grow in importance. Frankly, I don't think it's feasible to opt out of learning the skill of applying Al in your craft; you are welcome to try, but I want to be honest I cannot see this working out today, and definitely not tomorrow. Stagnation is almost certain, and stagnation is slow-motion failure. If you're not climbing, you're sliding. 2. Al must be part of your GSD Prototype phase. The prototype phase of any GSD project should be dominated by Al exploration. Prototypes are meant for learning and creating information. Al dramatically accelerates this process. You can learn to produce something that other team mates can look at, use, and reason about in a fraction of the time it used to take. 3. We will add Al usage questions to our performance and peer review questionnaire. Learning to use Al well is an unobvious skill. My sense is that a lot of people give up after writing a prompt and not getting the ideal thing back immediately. Learning to prompt and load context is important, and getting peers to provide feedback on how this is going will be valuable. 4. Learning is self directed, but share what you learned. You have access to as much of the cutting edge Al tools as possible. There is chat.shopify.io, which we had for years now. Developers have proxy, Copilot, Cursor, Claude code, all pre- tooled and ready to go. We'll learn and adapt together as a team. We'll be sharing Ws (and Ls!) with each other as we experiment with new Al capabilities, and we'll dedicate time to Al integration in our monthly business reviews and product development cycles. Slack and Vault have lots of places where people share prompts that they developed, like #revenue-ai-use-cases and #ai-centaurs. 5. Before asking for more Headcount and resources, teams must demonstrate why they cannot get what they want done using Al.
Center for Democracy & Technology@cdt.org · last yr.

AB 566 has officially passed out of the committee in the CA Assembly! 🎉 This bill ensures that web browsers & mobile OS vendors provide a simple, automated way for users to send opt-out signals—closing a loophole in CA privacy law. A huge step toward meaningful data rights!

Center for Democracy & Technology@cdt.org · last yr.

📢 Today, the California Assembly will hold a hearing on AB 566 — a bill requiring web browser & mobile operating system vendors to incl. a setting that enables users to send automated signals indicating that they wish to opt-out of sales of their personal data. cdt.org/insights/mea...

Center for Democracy & Technology@cdt.org · last yr.

📢 Today, the California Assembly will hold a hearing on AB 566 — a bill requiring web browser & mobile operating system vendors to incl. a setting that enables users to send automated signals indicating that they wish to opt-out of sales of their personal data. cdt.org/insights/mea...

Meaningful Opt-Out Rights Require Companies to Do Their Part. State Governments Might Have to Make Them.

Update: CDT submitted a letter on March 7, 2025 to the California State Assembly’s Committee on Consumer Protection in support of AB 566, which requires vendors of web browsers and mobile operating systems to include a setting that enables users to send an automated signal to businesses with which they interact through their browser or […]

cdt.org

Yacine Jernite@yjernite.bsky.social · last yr.

New @hf.co policy blog on our AI Action Plan response just out 🤗 TLDR: open research/development and smaller/efficient adaptable models that are developed and evaluated in context just make the most sense; whether you're looking for performance, reliability, or security! hf.co/blog/ai-acti...

AI Policy @🤗: Response to the White House AI Action Plan RFI

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co