Avijit Ghosh

@evijit.io

Lead Technical AI Policy Researcher at Hugging Face @hf.co 🤗. Current focus: Responsible AI, AI for Science, and @eval-eval.bsky.social‬!

In light of everything happening this week, I wanted to reiterate that AI Flaws and Incidents should be reported in a responsible, coordinated manner, and crucially, this should be administered by a competent body as opposed to voluntary self governance, akin to analogous systems in cyber (CVE).

Weekend mini project! Since commentary on AI is inherently interdisciplinary, we connected the observations in the The Pope's encyclical, with decades of scholarship in Responsible AI and Ethics research, and created an interactive space with these annotations!

I miss pre 2022 AI when there wasn’t so much noise in the field. Almost no separation between my job and personal life (a bunch of which is attributable to FOMO). Can’t even go on vacation without hearing about AI a few tables across at dinner. Even the Pope is involved

Who is winning the open AI race? Our new study Economies of Open Intelligence maps @hf.co 851k models' downloads 2020→2025. 1) Power rebalance: US tech ↓; China + community ↑ 2) Models size & efficient ↑ (MoE, quant, multimodal) 3) Intermediary layers ↑ (adapters/quantizers) 4) Transparency ↓ /🧵

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I used to love the word “key” until AI models decided to love it and now I cringe at “key takeaways” in text material :(

🚨 AI keeps scaling, but social impact evaluations aren’t–and the data proves it 🚨 Our new paper, 📎“Who Evaluates AI’s Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations,” analyzes hundreds of evaluation reports and reveals major blind spots ‼️🧵 (1/7)

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Extremely thrilled to talk about our new paper: "Who Evaluates AI’s Social Impacts? Mapping Coverage And Gaps In First And Third Party Evaluations". This is the first big project output from the @eval-eval.bsky.social coalition! Thread below:

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We have a call for posters out! Please submit your extended abstracts, it should be quick and easy. And just like last year, provocative work is especially encouraged as it makes for such interesting conversation 😈

EvalEval Coalition@eval-eval.bsky.social · 9mo ago

📮 We are inviting students and early-stage researchers to submit an Abstract (Max 500 words) to be presented as posters during interactive session. Submit here: tinyurl.com/AbsEval We have a rock-star lineup of AI researchers and an amazing program. Please RSVP at the earliest! Stay tuned!

This. Copyright is a tool for protection but it’s not everything. In fact, there’s research showing that it is possible to create competitive language models using public domain data only. The proliferation of copyright respecting models would not solve the labor impact policy problem.

Ted Underwood@tedunderwood.com · 9mo ago

Imagine you time travel back to 1847 and you find the left response to industrialization is a) machines will never be as good as human weavers or b) we need to copyright loom patterns or c) it’s a speculative bubble. You’d say “Y’all. Not helping. What you need is obviously a labor movement.”

Datasets are the backbone of AI for Science, and we want to support scientific data natively on Hugging Face. The amazing @lhoestq.hf.co started a discussion on GH for this! Please engage (better still, submit a PR) so we can start supporting your 🫵 dataset: github.com/huggingface/...

Support scientific data formats · Issue #7804 · huggingface/datasets

List of formats and libraries we can use to load the data in datasets: DICOMs: pydicom NIfTIs: nibabel WFDB: wfdb cc @zaRizk7 for viz Feel free to comment / suggest other formats and libs you'd lik...

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Random off the cuff observation about American AI: LLM folks seem to be concentrated in SF, but AI4Science folks seem to be concentrated in Boston. Meaning as the former gets oversaturated and the latter is only getting started, I expect Boston to be the next big AI epicenter! 💪

+1000. I miss life pre-AI hype when the discourse around AI was more scientific and people used to attribute papers and opinions to scientists instead of to their companies. Not all orgs block research papers and sanity check their papers via legal teams, and HF, especially so, is very distributed.

Margaret Mitchell@mmitchell.bsky.social · 10mo ago

Hugging Face (thankfully) doesn't do a groupthink too much -- e.g., "Hugging Face thinks this". We're generally able to have different opinions and thoughts, which is part of the open/collaborative ethos. I don't feel strongly about this conference myself, I see pros and cons. 🧵

Hey, so can someone tell me why ChatGPT generating erotica is bad, any more so than it generating anything else? Obviously anything non-consensual or age-inappropriate is bad, but I don't see why some researchers in my timeline are up in arms about it, while Grok already does this.

I had never seen people fighting with co-authors via colored latex comments on overleaf in a developing paper draft until today. One of them even pasted a google calendar link saying "can we hop on a call and hash this out". Paper writing is actually exciting sometimes!

Trying to start a new hobby and the internet is useless. Maybe AI will finally kill unstructured information retrieval for good and then we will be forced to call or visit friends for help again

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Some of these new gpt/claude wrapper startups make me wonder how much the founders are paying themselves in salary because there is no way they expect their horrible idea to actually be sustainably profitable

AI for scientific discovery is a social problem: In our new position paper, @cgeorgiaw.bsky.social and I show that culture, incentives, and coordination are the main obstacles to progress, and we are launching the Hugging Science Initiative to address this!

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So fascinating (not really) to me that company execs and tier 1 AI conferences have gone in completely opposite directions as it relates to AI usage. Surely the best minds actually developing AI models know something about overreliance, productivity, and quality? Surely?

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