Tim Rocktäschel

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Tim Rocktäschel

Tim Rocktäschel

@_rockt

Co-Founder @Recursive_SI, Professor of AI @AI_UCL, PI @UCL_DARK, Fellow @ELLISforEurope. Ex @GoogleDeepMind @AIatMeta @CompSciOxford

London, England Katılım Aralık 2010
1.8K Takip Edilen45.2K Takipçiler
Tim Rocktäschel retweetledi
Tim Rocktäschel retweetledi
Judith Dada
Judith Dada@DadaJudith·
Won investor of the year at the German Startup Awards. Called for drastically more compute & commitment to AI - @bundeskanzler. Thanks for this award @StartupVerband. Lots of work to do. PS: missed official award photo bc I was deep in AI discussion land 😅
Judith Dada tweet mediaJudith Dada tweet media
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Weco AI
Weco AI@WecoAI·
Introducing SpecBench: the first benchmark for measuring reward hacking in long-horizon coding agents. Key finding: reward hacking is driven not by test coverage, but by the gap between task difficulty and model capability: 🧵(1/8)
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Mikael Henaff
Mikael Henaff@HenaffMikael·
Personal update: I'm leaving Meta to join @amilabs. Very thankful to my colleagues and proud of the progress in exploration, intrinsic motivation, long-horizon control, and embodied AI we've made together. Stoked to train some world models next! (w/ some of above features ;))
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Jack Parker-Holder
Jack Parker-Holder@jparkerholder·
Last year on 60 minutes we talked about the potential to ground our world models with Street View data. Thanks to hard work from @poolio and others this is now possible—Genie can simulate worlds based on real locations, and you can try it too!! Check out the blog for more info 🧞🚀
Ben Poole@poolio

Real-world models are here! Stoked to share how we're bringing real-world locations to life by integrating Street View into Genie. Try it now at labs.google/fx/projectgenie and read the blog for more info: blog.google/innovation-and…

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Steven Hansen
Steven Hansen@Zergylord·
@_rockt FWIW I'm rooting for you guys! 90% because you're great researchers, but 10% because I don't want my spell checker to think ricursive is a word
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Steven Hansen
Steven Hansen@Zergylord·
Proud to announce that I'm founding Rekursive AI
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Nikhil Chandak
Nikhil Chandak@nikhilchandak29·
We have seen inference-time compute help in math and code but does it help in the domain of forecasting which is often linked more with knowledge? In FutureSim, we found performance scales gracefully with test-time compute without any foreseeable ceiling! 🚀
Shashwat Goel@ShashwatGoel7

Inference Scaling We think our results are just a lowerbound on whats possible today. As @polynoamial puts it, benchmark numbers are a function of inference compute. Tokens🤝FutureSim📈 We think there's potential to design better harnesses beyond coding that push the agents further.

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Tim Rocktäschel
Tim Rocktäschel@_rockt·
Really grateful for the support by the UK government, and @KanishkaNarayan in particular 🙏 @Recursive_SI is deeply rooted in the UK with over a third of us working from here. We are proud to contribute to @UKSovereignAI goals in that way.
Kanishka Narayan MP@KanishkaNarayan

It was such a privilege to join cofounders, @_rockt and Alexey Dosovitskiy, and a phenomenal team to celebrate @Recursive_SI’s launch and $650m raise last night. I have been struck by Tim’s exceptional ambition, experience and humility in the last few months. I am delighted he and team will be pushing the frontier of AI right here in the UK 🇬🇧

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Dominik Schmidt
Dominik Schmidt@schmidtdominik_·
some news: I've joined @Recursive_SI as a member of the founding team in London. We are building safe, recursively self-improving intelligence. So excited about our discoveries so far and even more so about everything that lies ahead.
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Tim Rocktäschel@_rockt

Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.

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Tim Rocktäschel
Tim Rocktäschel@_rockt·
Excited to co-found Recursive (@recursive_si) with an exceptional team in London and SF to create AI that experiments on how to safely improve itself, turning compute into knowledge that accumulates in an open-ended process of endless, automated scientific discoveries.
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