Weights & Biases
Wojciech joins us to talk the principles behind OpenAI, the Fermi Paradox, and the future stages of developments in AGI.
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Wojciech Zaremba is a co-founder of OpenAI, a research company dedicated to discovering and enacting the path to safe artificial general intelligence. He was also Head of Robotics, where his team developed general-purpose robots through new approaches to transfer learning, and taught robots complex behaviors.
Connect with Sean:
Personal website: https://wojzaremba.com//
Twitter: https://twitter.com/woj_zaremba
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Topics Discussed:
0:00 Sneak peek and intro
1:03 The people and principles behind OpenAI
6:31 The stages of future AI developments
13:42 The Fermi paradox
16:18 What drives Wojciech?
19:17 Thoughts on robotics
24:58 Dota and other projects at OpenAI
33:42 What would make an AI conscious?
41:31 How to be succeed in robotics
Transcript:
http://wandb.me/gd-wojciech-zaremba
Links:
Fermi paradox: https://en.wikipedia.org/wiki/Fermi_paradox
OpenAI and Dota: https://openai.com/projects/five/
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Big fan of the channel for bringing this podcast
thank you
"Once the system becomes powerful enough that it tries to compress itself"
Thanks for the podcast, but I'd prefer the raw version w/o these frequent cuts. Makes a kind of artificial impression, exactly what we're trying to discriminate here 😀
It's becoming clearer that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first.
The thing I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing.
Dr. Edelman's roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461
That was fascinating. Talking about the border of what modern ai can and can't do, even for something fun like dota, we can hear the potential being realised day by day.
Double down on supervised learning. Collect trajectories. @43:30
"I really appreciate you getting up so early" made me laugh at the end! Great episode as always, thanks W&B team!