Sonia Joseph @soniajoseph_
AI researcher. Getting PhD @Mila_Quebec, prev @Princeton. Multimodal interpretability + alignment. San Francisco Joined August 2015-
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Tbh contouring your face is ridiculously harder than coding a transformer from scratch. If make up artists applied this level of attention to detail to neural nets, we’d have a renaissance of architectures— it’s all just shape rotation.
🚀 Thrilled to introduce Recall to Imagine (R2I), the 1st model-based RL approach integrating SSMs to excel in memory-intensive domains. Not just setting new SOTA, but achieving superhuman results in complex memory tasks, while efficiently operating across diverse domains. 1/
🚀 Thrilled to introduce Recall to Imagine (R2I), the 1st model-based RL approach integrating SSMs to excel in memory-intensive domains. Not just setting new SOTA, but achieving superhuman results in complex memory tasks, while efficiently operating across diverse domains. 1/
I'll be supervising Mechanistic Interpretability at this summer's MATS program-fill in this short airtable form by Sunday (24th March)! airtable.com/appPxJ0QMqR7TE… From my mentee and (co-)mentor experience, it's a great program to do important work understanding how AIs work!
Just published a set of Sparse AutoEncoders GPT2-Small residual stream all layers. lesswrong.com/posts/f9EgfLSu…. Thanks @NeelNanda5 and @ArthurConmy for the support!
Are you excited about @ch402-style mechanistic interpretability research? I'm looking for scholars to mentor via MATS - apply by April 12! I'm very impressed by the great work from past scholars, and enjoy mentoring promising mech interp talent. I'm excited for my next cohort!
The Prisma multi modal mech interp discord is shaping up to be the most fascinating blend of AI alignment people and artsy designer stable diffusion esque people. The subculture I never knew I needed. discord.com/invite/2U2N8Qm…
Ethan Caballero is bu.. @ethanCaballero
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Irina Rish @irinarish
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Miles Brundage @Miles_Brundage
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EigenGender @EigenGender
6K Followers 661 Following all my posts are shitposts that simultaneously reveal the true nature of reality. large language models; kinda EA; 🏳️⚧️
Noam Brown @polynoamial
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Hattie Zhou @oh_that_hat
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David Krueger @DavidSKrueger
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Patrick Mineault @patrickmineault
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Keerthana Gopalakrish.. @keerthanpg
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Sara Hooker @sarahookr
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Stella Biderman @BlancheMinerva
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sigfig @sigfig
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Alex K. Chen... @InquilineKea
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AI World News🤖💕 @TheWorldNews
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jack morris @jxmnop
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Ethan Caballero is bu.. @ethanCaballero
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Irina Rish @irinarish
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Neel Nanda @NeelNanda5
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Percy Liang @percyliang
49K Followers 408 Following Associate Professor in computer science @Stanford @StanfordHAI @StanfordCRFM @StanfordAILab @stanfordnlp | cofounder @togethercompute | Pianist
Noam Brown @polynoamial
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Hattie Zhou @oh_that_hat
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David Krueger @DavidSKrueger
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Patrick Mineault @patrickmineault
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Keerthana Gopalakrish.. @keerthanpg
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Mo Bavarian @mobav0
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Sara Hooker @sarahookr
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Stella Biderman @BlancheMinerva
15K Followers 748 Following Open source LLMs and interpretability research at @BoozAllen and @AiEleuther. My employers disown my tweets. She/her
sigfig @sigfig
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Dylan Itzikowitz @ditzikow
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@soniajoseph_ Yes! It's fucking fantastic and so few people I know have read it. You have to read Exordia by the same guy, it's about aliens, first contact, and how the sketches of ethical systems are filled in by the kind of people who choose them.
@soniajoseph_ If you have a research project that needs the training data, why not use the CLIP models actually trained on LAION instead of OpenAI's?
@soniajoseph_ I guess it depends more on the jurisdiction you fall under than on your personal opinion.
If I could go back in time, I would have worked on NeurIPS papers in high school.
@zamresearch Maybe, but I'm reluctant to do that sort of thing. Online controversies are mostly driven by idiots, so if you write essays in response to online controversies, you're letting your agenda be determined by idiots.
I have been working on vision+language models (VLMs) for a decade. And every few years, this community re-discovers the same lesson -- that on difficult tasks, VLMs regress to being nearly blind! Visual content provides minor improvement to a VLM over an LLM, even when these…
Today we’re releasing OpenEQA — the Open-Vocabulary Embodied Question Answering Benchmark. It measures an AI agent’s understanding of physical environments by probing it with open vocabulary questions like “Where did I leave my badge?” More details ➡️ go.fb.me/7vq6hm…
Really excited about the launch of this research initiative. Hiring Research Scientists now. Research Software Engineers and postdocs over next few months. 300 H100 GPUs. Multidisciplinary teams. Princeton helps keep AI expertise in the open sphere. More: pli.princeton.edu
“The dramatic rise of AI capabilities…is a watershed event for humanity…It is also sure to transform research and teaching in every academic discipline.” – @prfsanjeevarora, director of the new @Princeton Language and Intelligence initiative. For more: pli.princeton.edu
Big congratulations to Avi Wigderson of IAS Princeton for winning the Turing Award in CS. Truly an all-time great in theoretical computer science and discrete math. Also one of the nicest human beings I know --friend and mentor to so many (including me) tinyurl.com/fz5vxxaf
@soniajoseph_ Really? I am not sure about this - I find applying makeup orders of magnitude easier (and more enjoyable) than any of that more intellectual stuff :) maybe I chose a wrong profession :)
POV: Me at an social event.
Tbh contouring your face is ridiculously harder than coding a transformer from scratch. If make up artists applied this level of attention to detail to neural nets, we’d have a renaissance of architectures— it’s all just shape rotation.
@soniajoseph_ I have a promising alternative to neural networks and GOFAI. Let me know if you want to read the draft of my book or a paper about generalization.
anyone know what's the best image to text / image captioning model I can run locally with <=20GB vram?
Our 12 scaling laws (for LLM knowledge capacity) are out: arxiv.org/abs/2404.05405. Took me 4mos to submit 50,000 jobs; took Meta 1mo for legal review; FAIR sponsored 4,200,000 GPU hrs. Hope this is a new direction to study scaling laws + help practitioners make informed decisions
"Foundation models" companies that require up-front investment for GPUs are more like like airline companies than software. Large capex, then compete against 50 other companies that all bought the same model of airplane as you.
We are coming out of stealth today and announcing our $25m Seed Round led by @foundersfund and @8vc with participation from @SimoneSyed, @Quantonation, @hankejh, @JTLonsdale, @C_Angermayer, @mattturck We are creating the future of Material Science. Here's the deck 🧵:
Can we understand & edit unanticipated mechanisms in LMs? We introduce sparse feature circuits, & use them to explain LM behaviors, discover & fix LM bugs, & build an automated interpretability pipeline! Preprint w/ @can_rager, @ericjmichaud_, @boknilev, @davidbau, @amuuueller
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