Christian Szegedy @ChrSzegedy
#deeplearning, #ai research scientist. Opinions are mine. Sunnyvale, CA Joined June 2015-
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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
RIP Peter Higgs! theguardian.com/science/2024/a…
Our latest reasoning update. 24%->50% on MATH from Grok 1 to 1.5.
A possible solution to "the great silence": any sufficiently compressed communication is indistinguishable from white noise.
Actually this raises several interesting "scientific" questions: eg.: how and where does more resolution help: training or inference time or can inference time resolution be traded off for training time resolution.
Actually this raises several interesting "scientific" questions: eg.: how and where does more resolution help: training or inference time or can inference time resolution be traded off for training time resolution.
New open access journal for formalized mathematics is launched: afm.episciences.org 👍
Amazing
RIP Vernor Vinge arstechnica.com/information-te…
Announcing Phorm: a fast, simple, and SOTA codebase search engine. Understand code, faster. phorm.ai
@icreatelife To understand new physics about the universe and invent amazing technologies
based and 🔓 wanna help accelerate the next Grok? looking for builders: — Rust/Jax/Kube infra engineers — front-end/full-stack engineers x.ai/careers
based and 🔓 wanna help accelerate the next Grok? looking for builders: — Rust/Jax/Kube infra engineers — front-end/full-stack engineers x.ai/careers
Happy Pi-day!
While Alphago's knowledge was not encoded in individual chess moves, it has derived its "mental model" from those. Similarly, the knowledge of LLMs is not encoded in language, that's just the environment they operate in. That's why I think Yann makes an unwarranted leap here.
While Alphago's knowledge was not encoded in individual chess moves, it has derived its "mental model" from those. Similarly, the knowledge of LLMs is not encoded in language, that's just the environment they operate in. That's why I think Yann makes an unwarranted leap here.
I can't wait to see AlphaZero-0K, the AI that beats you with weakest possible moves in order to minimize the amount of training data one can extract from its moves.
🗣️ “Next-token predictors can’t plan!” ⚔️ “False! Every distribution is expressible as product of next-token probabilities!” 🗣️ In work w/ @GregorBachmann1 , we carefully flesh out this emerging, fragmented debate & articulate a key new failure. 🔴 arxiv.org/abs/2403.06963
While it seems trivial to "protect" against this particular attack, information as such tends to be quite leaky in a lot of respects. I expect the future to get very interesting/confusing with a wide range of information-theoretical attacks/defenses both at data and model level.
While it seems trivial to "protect" against this particular attack, information as such tends to be quite leaky in a lot of respects. I expect the future to get very interesting/confusing with a wide range of information-theoretical attacks/defenses both at data and model level.
Happy birthday to László Lovász!😁 Lovász has been a mathematical star since he was a teenager and received The Abel Prize in 2021 together with Avi Wigderson. #AbelPrize2021 #AbelPrize #mathematics #science
Closed scientific publishing is a scam for multiple reasons.
Closed scientific publishing is a scam for multiple reasons.
Peyman Milanfar @docmilanfar
67K Followers 261 Following Distinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.Lucas Beyer (bl16) @giffmana
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56K Followers 443 Following Researcher (Google DeepMind/Brain in Zürich, ex-RWTH Aachen), Gamer, Hacker, Belgian. Mostly gave up trying mastodon as [email protected]Soumith Chintala @soumithchintala
186K Followers 876 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.(((ل()(ل() 'yoav))).. @yoavgo
46K Followers 2K FollowingAlfredo Canziani @alfcnz
86K Followers 268 Following Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York UniversityJürgen Schmidhuber @SchmidhuberAI
106K Followers 0 Following Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.Eric Jang @ericjang11
69K Followers 3K Following physical AGI at 1X. Author of "AI is Good for You" https://t.co/eFg4WXhg0pKosta Derpanis @CSProfKGD
48K Followers 198 Following #CS Associate Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, #CVPR2024/#ECCV2024 Publicity Co-chairDelip Rao e/σ @deliprao
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33K Followers 965 Following Cofounded & running @ml_collective. Host of Deep Learning Classics & Trends. Research at Google DeepMind. DEI/DIA Chair of ICLR & NeurIPS. Writing https://t.co/IbycyGfnDRKyunghyun Cho @kchonyc
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528 Followers 302 Following Research Scientist at @Apple. Previous: @Meta (FAIR), @Inria, @MSFTResearch, @VectorInst and @UofG . Egyptian 🇪🇬 Deprecated twitter account: @alaaelnoubyDean Phillips @deanbphillips
73K Followers 2K Following Congressman, Dad, Entrepreneur, Gold Star Son, Common Sense Enthusiast, and Bipartisan Believer. It's time to mobilize, and Everyone’s Invited! 🇺🇸Andrew Zhai @ZhaiAndrew
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171K Followers 14 Following Founder @Figure_robot (AI Robotics) & Archer Aviation (NYSE: ACHR)There's been a lot of discussion on LLMs "memorizing" training data, but we argue for more nuance in the definition of "memorize". This work advocates for adversarial prompts (and whether they can be shorter than the output) as a metric for assessing memorization.
1/What does it mean for an LLM to “memorize” a doc? Exactly regurgitating a NYT article? Of course. Just training on NYT?Harder to say We take big strides in this discourse w/*Adversarial Compression* w/@A_v_i__S @zhilifeng @zacharylipton @zicokolter 🌐:locuslab.github.io/acr-memorizati…🧵
What a year it has been at @augmentcode! Today we have reached a massive milestone on our journey to augment software engineers with AI: We've secured $252M in Series B funding! I am proud to be part of the team and excited about what the future holds. techcrunch.com/2024/04/24/eri…
Our second (and final) blog post on model components is now out: we show that component attributions enable model editing! See the blog post for more: gradientscience.org/modelcomponent… Paper: arxiv.org/abs/2404.11534 (this time with no typos :) Code: github.com/MadryLab/model…
How do model components (conv filters, attn heads) collectively transform examples into predictions? Is it possible to somehow dissect how *every* model component contributes to a prediction? w/ @harshays_ @andrewilyas, we introduce a framework for tackling this question!…
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Perfect Reasoners Improves the performance of GPT4 on GSM8K from 94.6% to 97.1% with a three-stage prompting arxiv.org/abs/2404.14963
@fhuszar @KLdivergence I thought the misstep traces to the original deep learning papers by Osindero and Hinton (pubmed.ncbi.nlm.nih.gov/16764513), where the analogue of the current net looks like inferring the state of an intermediate layer from which you can compute the answer.
Key results: Without any fine-tuning, and with 50% activation sparsity for MLP layers, CATS maintains strong zero-shot performance (with an avg 1.5% drop on a suite of evals). Furthermore, with minimal fine-tuning on general (not task-specific) text data, CATS performs similarly…
SoTA LLMs typically exhibit 99%+ non-zero activations, but it turns out that they are still intrinsically quite sparse! We introduce CATS, a simple post-training technique that achieves 50% activation sparsity for MLP layers with almost no drop in downstream evals, while…
events.nationalacademies.org/42507_04-2024_… Giving a talk on evaluating large language models for mathematics through interactions (work co-lead with @katie_m_collins) on Thursday. In the same session is the one and only @ChrSzegedy!
Better Synthetic Data by Retrieving and Transforming Existing Datasets repo: github.com/neulab/prompt2… abs: arxiv.org/abs/2404.14361
Non-negative Contrastive Learning ift.tt/HOatW0i
Rust compilation is so fast nowadays you can even spin up a decent Jupyter kernel: github.com/evcxr/evcxr/bl… It is kind of crazy. Each time you run a cell, it is actually compiling and then executing the code. And it's all quite speedy.
AutoCrawler Combines LLMs with crawlers with the goal to help crawlers handle diverse and changing web environments more efficiently. LLMs are powerful at information extraction so it's possible to apply them in many problems that require web automation. Capabilities like…
A boy can dream …
Is it possible to produce an AI system that is not biased? As we saw with Google Gemini, it's clear that bias in our AI models will always be a huge problem. So what's the solution? Here @ylecun nails it - It's the same solution we found with the press: freedom and diversity.
You know it bitch
@XDevelopers You know what they say about big hands?
Google presents Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies arxiv.org/abs/2404.08197
Google presents Probing the 3D Awareness of Visual Foundation Models Visual foundation models can learn representations that encode the depth and orientation of the visible surface but struggle with multiview consistency possibly because they are learning view-dependent…
The inventor of CAR-T cell cancer therapies won a science Oscar. The therapies that are helping cancer patients survive are an Incredible achievement. Reprogramming human cells to destroy cancer. I hope one day more people follow the science Oscar than the entertainment one.