Jinen Setpal @48bitmachine
PhD student @PurdueECE & MLR intern @Apple, researching deep learning optimization & interpretability theory. I love open source. @jinen:https://t.co/W0XuIlEg3H jinen.setpal.net [email protected] Joined October 2017-
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Mechanistic Interpretability be like.. We wanted to see what the bread slice is thinking when it is in the toaster. Is it taking its singing equanimously? thinking religious thoughts? or plotting revenge? (Face it--a vengeful singed slice is the last thing we want!) But alas, the bread slice doesn't talk! Its thoughts are intricately encoded in its singe pattern. So we devised a clever method--of showing the bread slice to a random Joe, asking him to describe its feelings. Joe says that the slice is having a religious experience involving Mother Mary. But is random Joe describing these feelings right? To check, we called random artist Jane and asked her to render these thoughts back to the external appearance of a (different!) bread slice. We co-trained Joe and Jane until they learn to auto-encode the real truth about the slice's thoughts. We are finding this technique to be a great way to understand what the bread slice is thinking. The tehcnique is not always (or even sometimes) correct, but it gives us a great window into publishing bread slice thought related podcast articles. Hope you find this research useful. #AIAphorisms
We're Optimal Intellect, a research lab from the team behind CVXPY. Today we're introducing Moreau: a GPU-native solver that's orders of magnitude faster than the best existing tools.
@phil_hellmuth @personaaiinc @nicholas_k_wade is cracked and that robot's awesome
@JacobZietek Brilliant play by California Department of Fish and Wildlife, they raised 157M like it was nothing 🥶
great blog on how @tensarahq thinks about correctness of submitted GPU kernels: sarthakmangla.com/blog/wrong
This is the key difference between in-domain and out-of-domain generalization, and we still have not truly solved out-of-domain generalization. It just turns out you can build world changing technology by throwing so much data at things that the entire universe is in-domain.
One of the best visual explanations I've ever seen for why scaling Transformers works, but is suboptimal, as it's just brute-forcing things, by @YesThisIsLion (co-author of the Transformer) on @MLStreetTalk "In the (rejected) paper "Intelligent Matrix Exponentiation", they show
@NeelNanda5 [2/2] From the discussion at ~6m, perhaps using multiple activations / PCA reduced how much the explanation can update *without* changing the underlying prediction, which may explain why it improved alignment?
@NeelNanda5 [1/2] This was awesome. I'm also excited about leveraging interp in training; my approach focuses on reducing degrees of freedom of model parameters & input w.r.t. explanation, because this provably prevents malicious compliance. Then training against these enforces alignment!
@bitsgopew @ninja_maths The channel below in general is an absolute goldmine, but the video specifically talks about the visualization in the tweet above, makes it very intuitive: youtube.com/watch?v=ZdlraR… I also recommend checking out 4.2.2. where prof talks about the connection with normal equations
@SuryaGanguli I shared this exact analogy at an interview I gave just yesterday (when asked about my use of AI for coding), this tweet made my day :D
Using AI to help you on your homework is like using a robot to help you lift weights at the gym.
I'm awestruck and inspired. Congratulations Dr. Cohen!
@jasondeanlee @SebastienBubeck @tomgoldsteincs @zicokolter @atalwalkar This is the third, last, and best paper from my PhD. By some metrics, an ML PhD student who writes just three conference papers is "unproductive." But I wouldn't have had it any other way 😉 !
@jennyzhangzt My reviews have been constructive across the board; meaningful feedback from all 4. It's my first major conference submission too, so I was mentally prepared to have everything either torn to shreds or to be fed AI slop but I've been pleasantly surprised😃
Currently working on RFMs for tool use and other industrial tasks @personaaiinc. We have an early customer (Hyundai) and significant capital ($28M pre-seed). Looking to expand the ML team, dm me if you're interested in joining. Also taking cracked interns :)
@adinamwilliams Awesome; I'll be on the look for sure!
Ishan @radshaan
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DagsHub @TheRealDagsHub
2K Followers 319 Following The #DataScience community dedicated to integrating open core tools and sharing reproducible #MachineLearning
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invi-bhagyesh 🏴... @invi_bhagyesh
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Shun Shao 邵顺 @ShunShao6
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Shitheaus @shitheaus40075
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Lucas @luklacasito
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personal journal @juegodposicion9
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21K Followers 8K Following Head of the Frontier Red Team @anthropicai. 🌎 Make things radically good.
nanodijkstra @nanod1jkstra
455 Followers 7K Following the yves saint laurent of systems programming. i work at @AntithesisHQ btw, mscs @nyuniversity
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DagsHub @TheRealDagsHub
2K Followers 319 Following The #DataScience community dedicated to integrating open core tools and sharing reproducible #MachineLearning
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2K Followers 5K Following Founder @PsyTech_AI | MBA @Wharton | Engineer @iitbombay | Music, magic, & physics
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1.2M Followers 788 Following Professor at NYU & Executive Chairman at AMI Labs. Ex-Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
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389K Followers 781 Following @ IRS. Founder @gumroad (now run by @gumclaw). Author of The Minimalist Entrepreneur. Views are my own!
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76K Followers 1K Following Co-founder and CTO at @huggingface 🤗. ML/AI for everyone, building products to propel communities fwd. @Stanford + @Polytechnique
aarya @gd3kr
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Alane Suhr @alsuhr
2K Followers 640 Following (assistant) professor of computer science at UC Berkeley. Mostly gone to better places :) fiat veritas, et pereat mundus 🌻
Antithesis @AntithesisHQ
4K Followers 63 Following A platform for building the impossible. Autonomous testing trusted by @JaneStreetGroup, @MongoDB, @ConfluentInc and many others.
͏ @OtterSou
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554 Followers 171 Following Saurabh is an itinerant Computer Scientist making his way through the mostly scenic bylanes of academic life. Tech advisor to software firms. @Purdue
Optimal Intellect @opt_intellect
888 Followers 0 Following A research lab at the intersection of optimization & AI. Moreau: GPU-accelerated convex optimization. By the creators of cvxpy & cvxpylayers.
Maaz @mmaaz_98
3K Followers 2K Following @thinkymachines. prev @anthropicAI. PhD @uoft. I like polynomials.
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Steven Diamond @StevenDiam77921
156 Followers 76 Following Creator of CVXPY Co-Founder @opt_intellect https://t.co/EX22W4emLf
kognise @kognise7
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Daria Soboleva @dmsobol
2K Followers 690 Following Scaling the world's largest MoE models @Cerebras | Creator of The MoE 101 Guide & SlimPajama | Ex-@Google @Yandex. Tweets are my own views.
San Kala @sanpskala
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283 Followers 607 Following Research Fellow at Flatiron Institute. prev: PhD at UC Berkeley Statistics
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3K Followers 451 Following EBM reasoning, AI formal verification. CEO and founder of @logic_int
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6K Followers 0 Following Prof @ Princeton CS working on AI/ML/RL. 🦋@ https://t.co/hz4KZsv5iO
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30K Followers 465 Following professor at Stanford, researcher at NVIDIA, adventurer at heart
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185 Followers 229 Following researcher @DBRXMosaicAI - i develop synthetic data and RL methods to test and improve agents. Ex @MSFTResearch and @Livermore_Lab. Ph.D. @PurdueECE
Accepted papers at TM... @TmlrPub
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Arianna Manzini @Arianna_Manzini
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JMB 🧙♂️ @jmbollenbacher
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12K Followers 399 Following CS Faculty @Stanford, @StanfordAILab, @StanfordHAI Research scientist @GoogleDeepMind PhD and BS from @Berkeley_EECS
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Adrià Garriga-Alonso @AdriGarriga
2K Followers 967 Following Funemployed, planning out what to do next. Previously mechanistic interpretability and friendly AI research at FAR AI (@farairesearch).
Chuang Gan @gan_chuang
10K Followers 494 Following Faculty Member at UMass Amherst; Principal researcher at MIT-IBM Watson AI Lab; Homepage: https://t.co/Pc8WeREfTz
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91K Followers 501 Following Born Samuel Langhorne Clemens in rural Missouri. Adopted the pen name "Sridhar Ramesh" from riverboat slang.
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2K Followers 353 Following Research Scientist at Meta Superintelligence Lab. Previously, PostDoc @UCBerkley and PhD @MPI_IS. All views are my own.
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16K Followers 722 Following Stanford Professor of Linguistics and, by courtesy, of Computer Science. Member of technical staff @stanfordnlp and @StanfordAILab. Co-founder @ Bigspin AI.
Roberta Raileanu @robertarail
11K Followers 2K Following Open-Ended Team Lead and Senior Staff Research Scientist @GoogleDeepMind. Honorary Lecturer @UCL. ex @Meta | @NYU | @Princeton.
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Ariel @redtachyon
5K Followers 274 Following p/hd | Big RL energy | Prev. {Meta FAIR RE; Gym(nasium) maintainer} | Not French | Technology Sibling
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8K Followers 2K Following MTS @thinkymachines. Prev. NVIDIA. Finetuning your own LLMs with LMFlow: https://t.co/UTykmQBwFr Views are my own.
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7K Followers 1K Following CEO at Apollo Research @apolloaievals prev. ML PhD with Philipp Hennig & AI forecasting @EpochAIResearch
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2K Followers 2K Following Principal Scientist @NVIDIA | Visiting Researcher @Stanford | Bridging theory & practice in ML, generative modeling & diffusion/flow models
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4K Followers 603 Following Research Scientist @Google, working on Data Privacy and AI Security. CS Prof @NUS (on leave).


































