Michael Zhang @michaelrzhang
PhD student doing machine learning / neural networks research @UofT @VectorInst. Prev: @UCBerkeley. Journey before destination. cs.toronto.edu/~michael/ Toronto Joined August 2017-
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Life update: I've recently moved to Boston and started a job @AmazonScience ! I'm excited to explore - please share local recs and let me know if you want to grab coffee! (picture: White Mountains, NH)
The news is out! We're starting Blank Bio to build a computational toolkit assisted with RNA foundation models. If you want to see my flip between being eerily still and overly animated check out the video below! The core hypothesis is that RNA is the most customizable molecule…
The news is out! We're starting Blank Bio to build a computational toolkit assisted with RNA foundation models. If you want to see my flip between being eerily still and overly animated check out the video below! The core hypothesis is that RNA is the most customizable molecule…
Giving your models more time to think before prediction, like via smart decoding, chain-of-thoughts reasoning, latent thoughts, etc, turns out to be quite effective for unblocking the next level of intelligence. New post is here :) “Why we think”: lilianweng.github.io/posts/2025-05-…
We wrote up what we've learned about using Claude Code internally at Anthropic. Here are the most effective patterns we've found (many apply to coding with LLMs generally):
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the…
The past 18 months have seen the most rapid change in human written communication ever By. September 2024, 18% of financial consumer complaints, 24% of press releases, 15% of job postings & 14% of UN press releases showed signs of LLM writing. And the method undercounts true use
Hot off the Servers 🔥💻 --- we’ve found a new approach for scaling test-time compute! Multi-Agent Verification (MAV) scales the number of verifier models at test-time, which boosts LLM performance without any additional training. Now we can scale along two dimensions: by…
One of the things we've been most impressed by internally at Anthropic is Claude 3.7 Sonnet's one-shot code generation ability. Here are a few of my favorite examples I've seen on here over the past day:
87 and 97 both getting golden goals is poetic.
It’s just incredible how much of a home run 4 Nations has been for the NHL and hockey in general. Friends who never watched a hockey game in their lives reaching out asking what the plan is for tonight’s game, what food we’re ordering, etc. Definition of growing the game.
Reading "Distilling Knowledge in a Neural Network" left me fascinated and wondering: "If I want a small, capable model, should I distill from a more powerful model, or train from scratch?" Our distillation scaling law shows, well, it's complicated... 🧵 arxiv.org/abs/2502.08606
Inspired by @karpathy and the idea of using games to compare LLMs, I've built a version of the game Codenames where different models are paired in teams to play the game with each other. Fun to see o3-mini team with R1 against Grok and Gemini! Link and repo below.
Inspired by @karpathy and the idea of using games to compare LLMs, I've built a version of the game Codenames where different models are paired in teams to play the game with each other. Fun to see o3-mini team with R1 against Grok and Gemini! Link and repo below. https://t.co/NNV24qPnWx
progress on math has been so fast. I remember how impressive Minerva was when it came out.. now you need to be good at competitive math to evaluate these latest models.
Been waiting for someone to test this and see if it really works - can multiple AI agents fact-checking each other reduce hallucinations? The answer appears to be yes - using 3 agents with a structured review process reduced hallucination scores by ~2,800% across 310 test cases.
TinyZero reproduction of R1-Zero "experience the Ahah moment yourself for < $30" Given a base model, the RL finetuning can be relatively very cheap and quite accessible.
TinyZero reproduction of R1-Zero "experience the Ahah moment yourself for < $30" Given a base model, the RL finetuning can be relatively very cheap and quite accessible.
I'm looking for a postdoc to work on algorithmic fairness, AI alignment, cooperative AI, AI safety, and related topics from the lens of social choice theory. Applications sent in by the end of January will receive full consideration. Details: cs.toronto.edu/theory/positio…
The concept of critical batch size is quite simple. Let’s assume we have a training dataset with 1M tokens. If we use a batch size of 10, we can update model param 100,000 times. On the other hand, if we increase the batch size to 100, the step size decreases to 10,000 (1/n).
The concept of critical batch size is quite simple. Let’s assume we have a training dataset with 1M tokens. If we use a batch size of 10, we can update model param 100,000 times. On the other hand, if we increase the batch size to 100, the step size decreases to 10,000 (1/n).
I still do this most days and I think it works great. My morning brain (right after 1hr exercise and 1 coffee) is quite eager to work and I go directly to the one top priority item. The energy decreases over time and with every distracting item loaded into the context window.
I still do this most days and I think it works great. My morning brain (right after 1hr exercise and 1 coffee) is quite eager to work and I go directly to the one top priority item. The energy decreases over time and with every distracting item loaded into the context window.

Jim Fan @DrJimFan
325K Followers 3K Following NVIDIA Director of Robotics & Distinguished Scientist. Co-Lead of GEAR lab. Solving Physical AGI, one motor at a time. Stanford Ph.D. OpenAI's 1st intern.
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湘西节度使 @tkXqJS6giPBD70N
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Stuart Wheelwright @Wheelies
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256 Followers 3K Following PhD, MLer, CLer (NLPer), ML Engineer at https://t.co/gX6Lem59Co, have belief in interpretability research of AI/ML/NNs
Arijit Ray @ARRay693
135 Followers 558 Following Research Intern @GoogleAI | CS PhD Student | Teaching machines to help humans achieve more in the world
Elisabeth Bik @MicrobiomDigest
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Gurunath @guru__nath
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Christopher Mims 🤌 @mims
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JC @_bytecore
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Amazon Science @AmazonScience
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Aravind Rajeswaran @aravindr93
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Hiroki Naganuma @_Hiroki11x
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Krishnatreya Bhattach... @krish2932
115 Followers 2K Following 25, KIIT,IBS, Manchester United, Rafael Nadal, Lewis Hamilton and Mohunbagan Enthusisast.
Jeremy Rubin @super_jrub
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Trevor Campbell @TrevorCampbell_
1K Followers 6K Following Problem Slayer 👾⚔️ Cooking up many new things in Biotech 🫁… Tinkerer and multi-modal human. Ex-ChemEng + Healthcare + Pharma. World’s 5th friendliest guy 🏅
Rohan Pandey @rohan99pandey
631 Followers 481 Following Robustness, NLP & Healthcare | CS PhD @UMassAmherst @UMassBioNLP | Prev. @mckinsey @ShivNadarUniv | Opinions: Personal
Ram Sri Harsha @HarshaRamsri
46 Followers 3K Following श्रद्धावान् लभते ज्ञानं तत्पर: संयतेन्द्रिय: | ज्ञानं लब्ध्वा परां शान्तिमचिरेणाधिगच्छति || संशयात्मा विनश्यति|
AK @_akhaliq
425K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5YmrQ
Jim Fan @DrJimFan
325K Followers 3K Following NVIDIA Director of Robotics & Distinguished Scientist. Co-Lead of GEAR lab. Solving Physical AGI, one motor at a time. Stanford Ph.D. OpenAI's 1st intern.
Andrej Karpathy @karpathy
1.4M Followers 1K Following Building @EurekaLabsAI. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets.
Sebastian Raschka @rasbt
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Gautam Kamath @thegautamkamath
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Google DeepMind @GoogleDeepMind
1.2M Followers 279 Following We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.
Dan Roy @roydanroy
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Behnam Neyshabur @bneyshabur
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Animesh Garg @animesh_garg
29K Followers 1K Following Foundation Models for Generalizable Autonomy in Robotics. Assistant Professor in AI Robotics @GeorgiaTech. Prev @nvidia
Rosanne Liu @savvyRL
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Yi Ma @YiMaTweets
101K Followers 488 Following Chair Prof. in AI, HKU; Visiting Prof. of EECS, UCB New book on Principles of Intelligence: https://t.co/leZlkURb7j
Percy Liang @percyliang
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Sergey Levine @svlevine
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Eugene Vinitsky (@RLC... @EugeneVinitsky
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Danijar Hafner @danijarh
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Amazon Science @AmazonScience
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Hieu Pham @hyhieu226
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Amanda Askell @AmandaAskell
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Ethan Mollick @emollick
287K Followers 576 Following Professor @Wharton studying AI, innovation & startups. Democratizing education using tech Book: https://t.co/CSmipbJ2jV Substack: https://t.co/UIBhxu4bgq
Kathryn Wantlin @KWantlin
86 Followers 564 Following CS Ph.D. student @Princeton (@ryan_p_adams group), formerly @Harvard
thamar | @thamar_solorio
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Lauren Yang @1aur3n_
1K Followers 210 Following happy mercury retrograde ⭐️ / currently @openai / past @perplexity_ai @tesla autopilot @stanford cs
Alex Albert @alexalbert__
97K Followers 636 Following Claude Relations @AnthropicAI. Opinions are my own!
Mimansa Jaiswal @MimansaJ
4K Followers 5K Following Currently RS @aiatmeta | LLMs/SLMs | Data, Evals and Agentic System Orchestration
Desi R. Ivanova @desirivanova
906 Followers 1K Following Research fellow @OxfordStats @OxCSML, former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️ My opinions are my own. 🇧🇬-🇬🇧 sh/ssh
John Schulman @johnschulman2
65K Followers 1K Following Recently started @thinkymachines. Interested in reinforcement learning, alignment, birds, jazz music
Adele Bloch @adele_bloch
4K Followers 1K Following Living life authentically. Building a world full of deeper connection. Bringing strangers together for deep talks. Product Manager & Host of @theboardtalks SF.
Charlie Snell @sea_snell
8K Followers 6K Following PhD student @berkeley_ai; research @cursor_ai; prev @GoogleDeepMind. My friend told me to tweet more. I stare at my computer a lot and make things
AAAAAAAAAA @aaaaaaaaaaorg
2K Followers 6 Following a lab focused on making research more accessible.
David Luan @jluan
11K Followers 1K Following building a new SF lab at @amazon; former cofounder of @adeptailabs, vp engineering @openai, and google LLMs lead. all about type II fun.
Zachary Huang @ZacharyHuang12
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Sayash Kapoor @sayashk
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tylercowen @tylercowen
254K Followers 567 Following new book *Talent: How to Identify Energizers, Winners, and Creatives Around the World*, https://t.co/7bU5cUdOBc, Conversations with Tyler, Bloomberg Opinion.
Alex Tamkin @AlexTamkin
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Ajay Jain @ajayj_
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Jungwon @jungofthewon
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John Langford @JohnCLangford
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Herbie Bradley @herbiebradley
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Mark Chen @markchen90
64K Followers 333 Following Chief Research Officer at @OpenAI. Coach for the USA IOI Team.
CLS @ChengleiSi
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Karina Vold @karinavold
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Yoshua Bengio @Yoshua_Bengio
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Denny Zhou @denny_zhou
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Shalev Lifshitz @Shalev_lif
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kelly 🌸 @lychkel
3K Followers 2K Following pixels, play, & possibilities ⋆ ˚。♡⁂ https://t.co/n0ML3xvtQq ✎
Scott Alexander @slatestarcodex
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Mira Murati @miramurati
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Mike Guerzhoy @guerzhoy
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Bike Share Toronto @BikeShareTO
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sophy @_sophysun
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Godwin Chan @godwinhschan
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Tomas Ortega @tomas__ortega
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61K Followers 12K Following AI policy researcher, wife guy in training, fan of cute animals and sci-fi, Substack writer, stealth-ish non-profit co-founder