Лекун опубликовал программную статью о будущем развития ИИ:
Yann LeCun. A Path Towards Autonomous Machine Intelligence. OpenReview.net 27 Jun 2022 https://openreview.net/forum?id=BZ5a1r-kVsf
Из его пояснений в твиттере [ https://t.co/UeCO66GRQd ] :
"The paper distills much of my thinking of the last 5 or 10 years about promising directions in AI."
"I express some of my opinions on the best path forward towards AI:
- scaling is necessary but not sufficient
- reward is not enough. Learning world models by observation-based SSL and the use of (differentiable) intrinsic objectives are required for sample-efficient learning.
- reasoning and planning comes down to inference: finding a sequence of actions and latent variables that minimize a (differentiable) objective. This is an answer to the question of making reasoning compatible with gradient-based learning.
- In that setting, explicit mechanisms for symbol manipulation are probably unnecessary"
Yann LeCun. A Path Towards Autonomous Machine Intelligence. OpenReview.net 27 Jun 2022 https://openreview.net/forum?id=BZ5a1r-kVsf
Из его пояснений в твиттере [ https://t.co/UeCO66GRQd ] :
"The paper distills much of my thinking of the last 5 or 10 years about promising directions in AI."
"I express some of my opinions on the best path forward towards AI:
- scaling is necessary but not sufficient
- reward is not enough. Learning world models by observation-based SSL and the use of (differentiable) intrinsic objectives are required for sample-efficient learning.
- reasoning and planning comes down to inference: finding a sequence of actions and latent variables that minimize a (differentiable) objective. This is an answer to the question of making reasoning compatible with gradient-based learning.
- In that setting, explicit mechanisms for symbol manipulation are probably unnecessary"