Jakob Foerster @j_foerst
Assoc. Prof in ML @UniofOxford @StAnnesCollege @FLAIR_Ox, dad. Ex: {RS @MetaAI, (A)PM @Google, DivStrat @GS}, ex intern {@GoogleDeepmind, @GoogleBrain, @OpenAI} jakobfoerster.com Joined November 2012-
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I call this the black-hole effect - many of my smartest peers have disappeared into the tech-void, sucked in by the gravitational pull of 💰💰💰 and compute.. I miss working with all of you, come back!
I call this the black-hole effect - many of my smartest peers have disappeared into the tech-void, sucked in by the gravitational pull of 💰💰💰 and compute.. I miss working with all of you, come back!
Yes, both the 8B and 70B are trained way more than is Chinchilla optimal - but we can eat the training cost to save you inference cost! One of the most interesting things to me was how quickly the 8B was improving even at 15T tokens.
Yes, both the 8B and 70B are trained way more than is Chinchilla optimal - but we can eat the training cost to save you inference cost! One of the most interesting things to me was how quickly the 8B was improving even at 15T tokens.
We just released Meta Llama 3: the most capable openly available LLM available to date! The 8B & 70B models are out now, and we expect to release models with larger context windows, additional model sizes and more capabilities in the coming months.
We just released Meta Llama 3: the most capable openly available LLM available to date! The 8B & 70B models are out now, and we expect to release models with larger context windows, additional model sizes and more capabilities in the coming months.
So glad to share that I am one of the recipients of an @OpenAI Superaligment Fast Grant on the topic of #CoTfaithfulness 🥳🥳
So glad to share that I am one of the recipients of an @OpenAI Superaligment Fast Grant on the topic of #CoTfaithfulness 🥳🥳 https://t.co/DNgYT0fBlt
LLM-agents seem to be coming fast! But are we ready? Probably not. In our new agenda paper 👇, we discuss what novel safety and alignment challenges are likely to arise as go from ‘chat assistants’ to ‘agents’. 🧵⬇️
LLM-agents seem to be coming fast! But are we ready? Probably not. In our new agenda paper 👇, we discuss what novel safety and alignment challenges are likely to arise as go from ‘chat assistants’ to ‘agents’. 🧵⬇️
I’m super excited to release our 100+ page collaborative agenda - led by @usmananwar391 - on “Foundational Challenges In Assuring Alignment and Safety of LLMs” alongside 35+ co-authors from NLP, ML, and AI Safety communities! Some highlights below...
Where do the next 100 trillion tokens come from? Unsupervised Environment Design offers a path towards agents that generate their own tasks and figure out which to train on. In our preprint we show that this framework suffers from the Irreducible Regret Trap & propose a solution.
Where do the next 100 trillion tokens come from? Unsupervised Environment Design offers a path towards agents that generate their own tasks and figure out which to train on. In our preprint we show that this framework suffers from the Irreducible Regret Trap & propose a solution.
Diffusion is an extremely powerful and general purpose approach - here we combine it with _policy guidance_ to improve the distribution mismatch in offline RL, which in turn offers the chance to bring RL to the real world without having to collect online data.
Diffusion is an extremely powerful and general purpose approach - here we combine it with _policy guidance_ to improve the distribution mismatch in offline RL, which in turn offers the chance to bring RL to the real world without having to collect online data.
The code + new results for LAPO, an ⚡ICLR Spotlight⚡ (w/ @MinqiJiang) are now out ‼️ LAPO learns world models and policies directly from video, without any action labels, enabling training of agents from web-scale video data alone. Links below ⤵️
I tried to get a friend to read the scaling laws paper but they said it was too long so I sent them this gif instead
I tried to get a friend to read the scaling laws paper but they said it was too long so I sent them this gif instead
I used to touch electric cattle fences as a kid. Maybe this is the final sign that I am overdue to become a successful tech founder. [reposting since I can't spell. ESL]
I used to touch electric cattle fences as a kid. Maybe this is the final sign that I am overdue to become a successful tech founder. [reposting since I can't spell. ESL]
Reminder that the "adversary" in the context of Adversarial Robustness of LLMs usually refers to the user. So better translated as "robust against the user intent".
Driving is one of the few domains with tons of multi-agent data. Can we use that data to guide self-play towards human-compatible driving behaviors while getting the benefits of self-play? Yes!
Driving is one of the few domains with tons of multi-agent data. Can we use that data to guide self-play towards human-compatible driving behaviors while getting the benefits of self-play? Yes!
If you're interested in doing a PhD with me from September this year, apply to the UKRI AI Centre for Doctoral Training in Biomedical Innovation and get in touch via e-mail to discuss projects asap :)
If you're interested in doing a PhD with me from September this year, apply to the UKRI AI Centre for Doctoral Training in Biomedical Innovation and get in touch via e-mail to discuss projects asap :)
The JAX-train from @FLAIR_Ox keeps rolling at full speed -- this time it's coming for Unsupervised Environment Design, a promising approach towards Open-Ended Learning. If the problems field is open-ended, we might as well research it 100x faster.
The JAX-train from @FLAIR_Ox keeps rolling at full speed -- this time it's coming for Unsupervised Environment Design, a promising approach towards Open-Ended Learning. If the problems field is open-ended, we might as well research it 100x faster.
The code for IBRL is out! Check it out for training RL efficiently in the real world! github.com/hengyuan-hu/ib…
The code for IBRL is out! Check it out for training RL efficiently in the real world! github.com/hengyuan-hu/ib…
Eugene Vinitsky @EugeneVinitsky
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25K Followers 1K Following Senior Research Scientist at @GoogleAI and Assistant Professor @uwcse. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from @MIT.yobibyte @y0b1byte
15K Followers 2K Following Kurin ViTaly, senior research scientist @IsomorphicLabs, ML PhD from @UniofOxford on RL, Multitask learning & GraphsNoam Brown @polynoamial
34K Followers 611 Following Researching reasoning @OpenAI | Co-created Libratus/Pluribus, the first superhuman no-limit poker AIs | Co-created CICERO | PhD from @SCSatCMUDan Roy @roydanroy
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50 Followers 745 Following Predoc Researcher @GoogleDeepMind | IIT Bombay'22Rafael Ramos @rafaelramosMD
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1 Followers 397 FollowingKrishna Srinivasan @krishna2
472 Followers 2K Following I code stuff. I build models. I work in NLP/DL at Google Research.Eugene Vinitsky @EugeneVinitsky
13K Followers 2K Following Anti-cynic. Artificial narrow intelligence. Autonomous vehicles, multi-agent learning, and transportation. RS at Apple, Asst. Prof at @nyutandon. He/him.Sergey Levine @svlevine
79K Followers 122 Following Associate Professor at UC Berkeley Co-founder, Physical IntelligenceNatasha Jaques @natashajaques
25K Followers 1K Following Senior Research Scientist at @GoogleAI and Assistant Professor @uwcse. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from @MIT.yobibyte @y0b1byte
15K Followers 2K Following Kurin ViTaly, senior research scientist @IsomorphicLabs, ML PhD from @UniofOxford on RL, Multitask learning & GraphsNoam Brown @polynoamial
34K Followers 611 Following Researching reasoning @OpenAI | Co-created Libratus/Pluribus, the first superhuman no-limit poker AIs | Co-created CICERO | PhD from @SCSatCMUDan Roy @roydanroy
45K Followers 2K Following ML / AI researcher, emphasis on theory. Research Director and Canada CIFAR AI Chair, @VectorInst Professor, @UofT (Statistics/CS)Danijar Hafner @danijarh
14K Followers 868 Following Building AI that makes autonomous decisions using world models, artificial curiosity, and temporal abstraction @DeepMindEric Jang @ericjang11
69K Followers 3K Following physical AGI at 1X. Author of "AI is Good for You" https://t.co/eFg4WXhg0pKevin Patrick Murphy @sirbayes
42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Edward Grefenstette @egrefen
36K Followers 774 Following FR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.Pablo Samuel Castro @pcastr
10K Followers 814 Following Señor swesearcher @ Google DeepMind. Adjunct prof @ U de Montreal & Mila. Musician. From 🇪🇨 living in 🇨🇦.Rosanne Liu @savvyRL
33K Followers 966 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/IbycyGfnDRRichard Sutton @RichardSSutton
26K Followers 37 Following Student of mind and nature, libertarian, chess player, cancer survivor. @ Keen Technologies, UAlberta, Amii, RLAI, The Royal Society, RichSutton.ethKarol Hausman @hausman_k
22K Followers 141 Following @Physical_int ex: researcher @GoogleAI/@DeepMind, adj. Prof. @Stanford. Into robots, AI, NBA, philosophy, soccer and almond croissants. 🇵🇱🇺🇸David Pfau @pfau
22K Followers 1K Following Knowledge manifests itself in radiant dreams that shimmer like the wild sun Views are my own pfau at sigmoid dot social on 🦣 https://t.co/xqtVHHVI17 on 🦋Animesh Garg @animesh_garg
21K Followers 1K Following Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics @GeorgiaTech + @NvidiaAI. prev @Stanford @berkeley_ai @UofTCompSciKyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠Marc G. Bellemare @marcgbellemare
13K Followers 350 Following CSO & co-founder, Reliant AI. Ex RL research lead at Google Brain, DeepMind. Known for Atari 2600 RL benchmark, Distributional RL (MIT Press 2023).Ferenc Huszár @fhuszar
40K Followers 1K Following Secular Bayesian. Associate Professor in Machine Learning @Cambridge_CL. Talent aficionado at https://t.co/RbJkoLguey Alum of @Twitter, Magic Pony and @BaldertonMichael Beukman @mcbeukman
80 Followers 64 Following PhD Student at @FLAIR_Ox, previously at @raillabwits. Interested in Open ended learning, unsupervised environment design, procedural content generationMark Coeckelbergh @MCoeckelbergh
14K Followers 11K Following philosopher of technology | philosophy professor @univienna | guestprof Prague Uppsala | co-founder @UsingAIforGood | @EU_Commission high-level expert group #AIDavid Sacks @DavidSacks
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4K Followers 675 Following Embodied AI, Vision, Autonomy, ML, and Mixed Reality. Chief Scientist at @wayve_ai. Ex-Leader of Mixed Reality & AI Labs at Microsoft.Bret Taylor @btaylor
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7K Followers 3K Following LLMs @ Google DeepMind :: PaLM, Gemini // Previously @MSFTResearch, @Stanford, @Princeton // views my own and subject to changeswyx @swyx
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4K Followers 4K Following Founder of @CamelAIOrg. Postdoc @UniofOxford. Finding the Scaling Law of Agents. Lead https://t.co/sD41ezagEr. Prev @KaustVision, @intel, @ETH_en, https://t.co/57iWaSd3pw, https://t.co/Kz9e9CCfut.Yingtao Tian @alanyttian
3K Followers 5K Following ↑ profile picture is dreamed by Anime GAN / cooking computational creativity and other ML sauce at google tokyo / before: stony brook u ← fudan uAnton Bakhtin @ SF @anton_bakhtin
2K Followers 126 Following MTS at @AnthropicAI, Ex @MetaAI, Ex @Google Three logicians walk into a bar ...Pierre Stock @PierreStock
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3K Followers 305 Following Superalignment by models helping humans help models help humans at OpenAI. Previously @DeepMind. Views my own.Arthur Mensch @arthurmensch
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2K Followers 815 Following Third International Conference on Lifelong Learning Agents. https://t.co/7cv6V9STl5Cohere For AI @CohereForAI
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679 Followers 848 Following 🤖 DPhil @OxCSML @StatMLIO (interned @MSFTResearch, @AIatMeta), former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️ My opinions are my own. 🇧🇬-🇬🇧Botos Csabi @csaba_botos
180 Followers 238 Following PhD candidate in Torr Vision Group, University of Oxford https://t.co/WzU6h3qhagAleks Petrov @AleksPPetrov
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9K Followers 994 Following prof UdeM/Mila; Canada Excellence Research Chair; AAI Lab head https://t.co/UzlrC7ZrGF; INCITE project PI https://t.co/0rV7szd7rH; CSO https://t.co/XDhj6MEtUjAlvin Foo @alvinfoo
136K Followers 13K Following Venture Partner, @chainvalleycap @02launch | Co-Founders, @nasdex_xyz, @metafyed, @thirdfiorg | ex-Google | #AI | #Fintech | #Web3 | #Tesla | #SpaceXperla maiolino @perla_maiolino
111 Followers 112 FollowingManish Patel @manni_patel
564 Followers 1K Following CEO @jivaAI Cofounder @epicuriUK Mathematical modelling / complex systems Technologist / Programmer / AI-ML. Caractacus Pott wannabe. Views are my ownAditya Grover @adityagrover_
8K Followers 412 Following CS Prof @UCLA. AI, ML, Climate. Prev: Postdoc @berkeley_ai, PhD @StanfordAILab, bachelors @IITDelhi.Jakob Uszkoreit @kyosu
4K Followers 275 FollowingRobert Nishihara @robertnishihara
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80K Followers 1K Following 📻 Listen live on 95.2FM, Digital Radio, Freeview Ch.722 & @BBCSounds 📲 WhatsApp us: 08000 321 333 - start your message with oxford ⚽️ Follow @bbcoxfordsportMatt Griswold @griswold
7K Followers 3K Following founder x3, nomad sailor • games | edtech | AI • working on thinkingI got tenure! It was fitting that I got to celebrate with the lab right after the news. Working together for the last 6.5 years has been a blast.
The upcoming Llama-3-400B+ will mark the watershed moment that the community gains open-weight access to a GPT-4-class model. It will change the calculus for many research efforts and grassroot startups. I pulled the numbers on Claude 3 Opus, GPT-4-2024-04-09, and Gemini.…
@j_foerst @alexUnder_sky @_chris_lu_ Chris is definitely on my "read most things he writes" list
Governments should pay parents about $million per child for the trouble.
Unsupervised environment design (UED) leads to a minimax regret (MMR) policy... but not all MMR policies are equal! In this work, led by @mcbeukman and @scowardai, we show how the standard UED framework can lead to suboptimal solutions, and how to solve this ⬇️
Regret is a reasonable objective for unsupervised environment design, right? 🤔 Well, not always, as our new preprint shows. We find that regret does not always correspond to learnability: high regret levels can provide no learning! 1/ 👇
Usman deserves so much credit for leading and organizing this effort! It's been a long haul, but I'm really happy with the result!
Super excited about the release of this 🔥agenda paper on “Foundational Challenges in Assuring Alignment and Safety of LLMs!” that has been described as ‘particularly comprehensive' and 'epic piece of work' in private reviews. 😅
I’m glad I learned about the pythagorean theorem instead of taxes in school. It’s really come in handy this pythagorean theorem season
To help you (yes YOU!) get started on multi-agent safety and alignment research; we have assembled this list of *concrete* research questions! Website: llm-safety-challenges.github.io PDF: llm-safety-challenges.github.io/challenges_llm… Credits @Usman @DavidSKrueger @lrhammond @j_foerst
This paper points out a fundamental problem in regret-based level design: it can stagnate on levels with irreducible regret! But, with some simple tricks you can continue to generate new levels
Regret is a reasonable objective for unsupervised environment design, right? 🤔 Well, not always, as our new preprint shows. We find that regret does not always correspond to learnability: high regret levels can provide no learning! 1/ 👇
Regret is a reasonable objective for unsupervised environment design, right? 🤔 Well, not always, as our new preprint shows. We find that regret does not always correspond to learnability: high regret levels can provide no learning! 1/ 👇
Big thanks to all co-authors @scowardai @mitrma @MinqiJiang @mattiefoxcs @MichaelD1729 @j_foerst See the paper or blog post for more details! 📜 Arxiv: arxiv.org/abs/2402.12284 Github: github.com/Michael-Beukma… Blog Post: blog.foersterlab.com/blp/ end/
📝 Check out the full paper - arxiv.org/abs/2404.06356 Work done with an awesome team of collaborators: @mitrma, @cong_ml, @benjamin_ellis3, @shimon8282, @j_foerst It's an exciting time for synthetic experience, and there's lots of work still to be done!
@MojiDelanoBlog The "repertoire of" is redundant. Your sentence has the same meaning if you take it out. I assume you didn't intend this as an example of the problem I'm talking about, but it's a pretty good one.
retweet ...again
I drafted a quick "How to" guide for writing ML papers. I hope this will be useful (if a little late!) for #NeurIPS2022. Happy paper writing and best of luck!! docs.google.com/document/d/16R…
Thank you for your response. I will keep my score.
Really fun visit to @wayve_ai with @Jamie_Shotton. Super surprised at how good the car is at handling weird interactions with other drivers
@j_foerst The unexamined life is not worth living. The unplanned life is not worth examining. Plan and reflect!
Americans on average have gotten wealthier, and all age groups also have more CPI-adjusted income. But *younger people* in particular have 3× less CPI-adjusted *wealth*. This is the simple explanation for the generational feeling of economic insecurity.
is life really harder right now? it's kind of the meme among my generation but I think it's just entitlement really hard to measure