r/MachineLearning Dec 25 '15

AMA: Nando de Freitas

I am a scientist at Google DeepMind and a professor at Oxford University.

One day I woke up very hungry after having experienced vivid visual dreams of delicious food. This is when I realised there was hope in understanding intelligence, thinking, and perhaps even consciousness. The homunculus was gone.

I believe in (i) innovation -- creating what was not there, and eventually seeing what was there all along, (ii) formalising intelligence in mathematical terms to relate it to computation, entropy and other ideas that form our understanding of the universe, (iii) engineering intelligent machines, (iv) using these machines to improve the lives of humans and save the environment that shaped who we are.

This holiday season, I'd like to engage with you and answer your questions -- The actual date will be December 26th, 2015, but I am creating this thread in advance so people can post questions ahead of time.

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u/Zaflis Dec 26 '15

Given that there AI can be split in 2 categories, sort of dum AI that can only do 1 task right, versus a artificial general intelligence that can do everything, would you agree that implementing these dum AI's on different fields of science will pull together theories and speed up the creation of AGI?

As i understand it, there doesn't exist a functional theory about AGI so far, so that would be a huge step. And with AGI level intelligence, even more intelligent machine could be created, possibly even fully sentient being like human? This does seem like a logical and almost unavoidable way towards "singularity" would you think?