
Jakob Foerster
@j_foerst
Assoc Prof in ML @UniofOxford @StAnnesCollege @FLAIR_Ox/ RS @MetaAI, 2x dad. Ex: (A)PM @Google, DivStrat @GS, ex intern: @GoogleDeepmind, @GoogleBrain, @OpenAI
ID: 947465066
http://www.jakobfoerster.com 14-11-2012 10:11:18
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Time to update the LLM speed runner benchmark? Minqi Jiang (thanks Edward Grefenstette for spotting this in time for editing)

🚨job alert🚨Foerster Lab for AI Research is looking for a postdoc, deadline is 1st of September (my.corehr.com/pls/uoxrecruit…) By many reports we are on the global Pareto frontier of talent density, agency and ambition. Join us!


🚨 Research Scientist Hiring alert! 🚨 Applications close THIS FRIDAY for Google DeepMind research scientist roles to work on autonomous assistants and human-facing agentic capabilities, self-improvement, and open-endedness.


When I stared my phd in deep learning in 2015 I thought I was late to the party. When I bought a few nvidia shares over a beer at NeurIPS Conference 2016 I was sure I had missed the boat (given a 3x run-up) but told my peers "better late than never". which boat did you miss?



Excited to present this work at RL_Conference next week!! Please message if interested in coffee, lunch, etc. 😃




🥳 It’s an honour to have been awarded the Outstanding Paper for Scientific Understanding in RL at RLC for our work, ‘How Should We Meta-Learn RL Algorithms?’ Thank you to the organisers RL_Conference for putting on a great conference, and congratulations to the other winners!


Check out the full story of attention sink, written by my former intern Guangxuan Xiao, who did the work in Meta😀 two years ago. This is now used in OpenAI's new OSS models. As the main mentor I am really proud of the streamlined research procedure: Getting curious about a