Neil Lawrence @lawrennd
Professor of machine learning at the University of Cambridge, co-host with @kgorman of @TlkngMchns. Opinions are my own. inverseprobability.com Cambridge Joined June 2009-
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Volume 239 Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" proceedings.mlr.press/v239/ Is now available on PMLR.
In London on 22d May 2024,18:00 to 19:00? I will be delivering a keynote lecture as part of @aiatkings @KingsCollegeLon Festival of AI. kcl.ac.uk/events/beyond-…
Our Proceedings are out! 🎉 Thanks, @JavierBurroni and @lawrennd🙏! Find them here 👉proceedings.mlr.press/v238/. (Any fixes needed can be submitted by pull request.) Impressed by our papers? Join us in Valencia for more! @StephanMandt @liyzhen2 @gavinkerrigan @thjashin
Volume 231 Proceedings of Learning on Graphs Conference 2023 proceedings.mlr.press/v231/ Is now available on PMLR.
Volume 237 Proceedings of the International Conference on Algorithmic Learning Theory 2024 proceedings.mlr.press/v237/ Is now available on PMLR
I’m in Barbados having a blast listening to @lawrennd talk about the atomic human — every time machine can do something that was once uniquely human, it cuts away a part of us. In the end, will there be anything left of us that is indivisible? Excited to read the book!
The first round of applications for the ELLIS Doctoral Symposium #EDS2024 in Paris is now open! ELLIS students/postdocs or students that have been conditionally accepted into the #ELLISPhD Program can now apply here: eds2024.github.io/registration @ai_elise @elias_project @IP_Paris_
The first round of applications for the ELLIS Doctoral Symposium #EDS2024 in Paris is now open! ELLIS students/postdocs or students that have been conditionally accepted into the #ELLISPhD Program can now apply here: eds2024.github.io/registration @ai_elise @elias_project @IP_Paris_
We all suffer from locked-in syndrome, without even realising it. But we are freed by music, poetry, painting… and love thetimes.co.uk/article/5ea945…
Very kind review of the ideas in The Atomic Human by @matthewsyed in today's Sunday Times. "Locked in by language, we are freed by music, poetry, painting … and love" thetimes.co.uk/article/5ea945…
✨Delve into the enriching study journey of @theAmutorine under the guidance of @lawrennd and Jessica Montgomery at the @Cambridge_Uni. Learn More about their study here: youtu.be/1q3jjRDlsjw
The fantastic Machine Learning in Compbio #MLCB2023 papers are up at proceedings.mlr.press/v240/. Thanks @lawrennd & PMLR! We have talk recordings too at youtube.com/@mlcbconf/.
Volume 236 Proceedings of Causal Learning and Reasoning 2024 proceedings.mlr.press/v236/ Is now available on PMLR.
For years I’ve been interviewing data annotation workers who are the lifeblood of the AI industry. For years I’ve heard the same story: the platforms they work for wield total power, leaving them precarious & vulnerable to exploitation. A horrible example of this just happened 1/
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** Understanding Biology in the Age of Artificial Intelligence ** arxiv.org/abs/2403.04106 Almost 2 years ago, a philosopher, a biologist, two chemists, and I met for dinners at @clarehall_cam Its culminated in this paper bringing all our ideas together, and @ubai2023
One and only @lawrennd another Italian speaker and DeepMind professor at the Other Place
Volume 222 Proceedings of ACML 2023 proceedings.mlr.press/v222/ Is now available on PMLR.
Michael Black @Michael_J_Black
58K Followers 641 Following Director, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.Dan Roy @roydanroy
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42K Followers 333 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Clément Canonne @ccanonne_
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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 @BaldertonNeurIPS Conference @NeurIPSConf
111K Followers 35 Following New Orleans, Dec 10-16, 23. https://t.co/ga8aOw615g Tweets to this account are not monitored. Please send feedback to [email protected].Kosta Derpanis @CSProfKGD
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61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. SustainabilityMichael Bronstein @mmbronstein
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39K Followers 7K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.Max Welling @wellingmax
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75 Followers 1K Following Artificial Intelligence @NorthwesternU | prev @iitbombay, @ISBedu | Computer Vision | Meta Learning | Self SupervisionPrice for 26 minutes transcription: Humans: $39 to $130 (*) Rev AI: $6.5 (closed model) Whisper on Mac: pennies Open Source AI will upset so many company business models, but it will enable more company business models and, most importantly the individuals, leaning on it to…
WhisperKit-v0.6.0 dropped yesterday! In the demo, 200 audio files (~26 minutes) are transcribed in ~13 seconds on an M2 Ultra Mac using whisper-base. WhisperKit harnesses all available compute, roughly 60 TFlops on Mac (GPU + 2xANE). This release is our first step towards…
Our Proceedings are out! 🎉 Thanks, @JavierBurroni and @lawrennd🙏! Find them here 👉proceedings.mlr.press/v238/. (Any fixes needed can be submitted by pull request.) Impressed by our papers? Join us in Valencia for more! @StephanMandt @liyzhen2 @gavinkerrigan @thjashin
Really proud of our continued commitment across @cohere @cohereForAI to release state-of-art weights for research use. ✨ Excited we get to share a state-of-art model which I hope will power exciting research and critical safety work across the ecosystem. 🔥
Announcing C4AI Command R+ open weights, a state-of-the-art 104B LLM with RAG, tooling and multilingual in 10 languages. This release builds on our 35B and is a part of our commitment to make AI breakthroughs accessible to the research community. 🎉 huggingface.co/CohereForAI/c4…
I barely got to explore the limits of cmd-R and @cohere is already pushing a massive upgrade and in the open! Cohere is probably the most underrated of LLM technology providers.
⌘R+ Welcoming Command R+, our latest model focused on scalability, RAG, and Tool Use. Like last time, we're releasing the weights for research use, we hope they're useful to everyone! txt.cohere.com/command-r-plus…
@oh_that_hat @lawrennd Nice, say hi to Neil for me (and if you can, get me a copy of his book ;-) )
I’m in Barbados having a blast listening to @lawrennd talk about the atomic human — every time machine can do something that was once uniquely human, it cuts away a part of us. In the end, will there be anything left of us that is indivisible? Excited to read the book!
This thread by Karen Hao reminds us of how we marvel at high-quality models trained on massive annotation data the same way we marvel at monuments built on slave labor and exploitation. Paying abundant wages and severance to data workers would've been a rounding error for…
For years I’ve been interviewing data annotation workers who are the lifeblood of the AI industry. For years I’ve heard the same story: the platforms they work for wield total power, leaving them precarious & vulnerable to exploitation. A horrible example of this just happened 1/
@davidwhogg @soumithchintala @iaifi_news Agree, but can go further: Machine learning is IID, real life is OOD.
Simon Batzner (DeepMind), speaking @iaifi_news two days ago; “Machine learning is IID; science is OOD.” I couldn’t agree more.
💯 Scientific discovery is about at the tails of existing knowledge/data, machine learning is about the bulk of the existing data. Doesn't mean the latter cannot assist with the former, but it's highly non trivial.
Simon Batzner (DeepMind), speaking @iaifi_news two days ago; “Machine learning is IID; science is OOD.” I couldn’t agree more.
@chaitjo @lawrennd @clarehall_cam @ubai2023 @SrijitSeal @adhamelshazly96 @pl219_Cambridge @shantanuXsingh I think another paper that needs to be written could be ‘understanding personalised medicine in the era of artificial intelligence’
@lawrennd @mmbronstein is this the DeepMind cinematic Universe?
One and only @lawrennd another Italian speaker and DeepMind professor at the Other Place
Really excited to try out Cambridge's new GPU cluster! (gRNAde was selected as one of the pilot projects for Dawn so I'm hoping I'm now GPU-not-so-poor)
🤖 Dawn - the UK’s fastest #AI supercomputer - is now up and running in #Cambridge! Dawn is being deployed for use by scientists in critical research fields such as clean energy, personalised medicine and climate. @ZettascaleLab @UKAEAofficial @IntelUK @DellTech @CambridgeRcs
@lawrennd It's not stalled - but reporting on updates is being done in dispersed way, under its various missions (not helpful for interested observers, I know, but saved me three people I could instead focus on getting things done.) Happy to share knowledge of activity in any part. areas
Are you considering a research stay in a different lab to build connections with other scientists? Then take a look at the ELISE @ai_elise mobility funding which is also available for researchers outside the ELLIS/ELISE network! #mobilityprogram #AI ➡️ elise-ai.eu/work/researche…
Why IT Failures are endemic: Précis: Software becomes too complex for one author so it is decomposed into parts for many authors (i.e. the 'separation of concerns') but the side effect is that no-one understands how the whole system works. inverseprobability.com/2024/02/09/the… @lawrennd
Open source is one of the biggest drivers of progress in software - AI would be unrecognizable without it. However, it is under existential threat from both regulation and well-funded lobby groups. The community needs to defend it vigorously. 🧵
“Open source is indisputably one of the biggest drivers of progress in software and by extension AI. But it is under existential threat from regulation that will advantage entrenched interests. We believe that open AI is vital for research, innovation, competition, and safety.”
Open source is one of the biggest drivers of progress in software - AI would be unrecognizable without it. However, it is under existential threat from both regulation and well-funded lobby groups. The community needs to defend it vigorously. 🧵