Li Deng (@LiDeng1) profile picture

Chief AI Officer, Citadel (former); Partner Research Manager, Chief Scientist of AI, Microsoft; Professor at University of Waterloo (Ont, Canada)

Seattle, WA
Joined April 2012
Photo by Li Deng (@LiDeng1)
And the China-born Microsoft veteran whose story is just too good to even hint at on Twitter…
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@demishassabis, the chess prodigy and neuroscientist who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do…
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@geoffreyhinton, the British researcher who didn’t drive and didn’t fly because he couldn‘t sit down but made his way across North America for the moment that would define a new age of technology...
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Extrapolating the spectacular performance of GPT3 into the future suggests that the answer to life, the universe and everything is just 4.398 trillion parameters.
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More generally, if you want CI to become bread and butter in AI, you should be looking for ways to get involved with the big players, not finding reasons not to. The deep learning folks will tell you that one killer case study is worth decades of shouting from the sidelines.
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The relation between RL (Reinforcement Learning) and causal inference has been a topic of some debate. It can be resolved, I believe, by understanding the limits of each. RL authors call this limit "off-policy". I like "off-knobs", imagining a machine with finite number of knobs.
Is RL an exercise in causal inference? Of course! Albeit a restricted one. By deploying interventions in training, RL allows us to infer consequences of those interventions, but ONLY those interventions. A causal model is needed to go BEYOND, i.e., to actions not used in training
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It took 200,000 years for us to reach 1 billion—and only 200 years to reach 7 billion! HT @evankirstel @leimer @ipfconline1 @helene_wpli @alvinfoo @psb_dc @guzmand @diioannid @rajat_shrimal @SpirosMargaris @andi_staub @LouisSerge @mallys_ @jerome_joffre @MereteBuljo @HITpol
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Launching my new project! Hope will help many of you: deeplearning.ai More announcements soon. #deeplearniNgAI – at Long Beach, CA
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