Monthly Archives: October 2023

Objective-Driven AI

Objective-Driven AI refers to the idea proposed by Yann LeCun of creating AI systems that are explicitly designed and constrained to optimize particular objectives. The key aspects are: Architecture with different modules — perception, world model, action planning, cost functions. Today … Continue reading

Posted in Artificial Intelligence, Goal-Oriented | Leave a comment

On the Road to Universal Learners

Peter Norvig tweeted on Oct. 10: “Given example inputs and outputs of any function that can be computed by any computer, a neural net can learn to approximate that function.” He refers to this paper “Auto-Regressive Next-Token Predictors are Universal … Continue reading

Posted in LLM, Machine Learning | Leave a comment

Peter Norvig: AGI Is Already Here

Peter Norvig wrote today at LinkedIn: “AGI is not solved, but it has arrived. Like how ENIAC was the first general purpose computer in 1945 (but computing was not “solved”) or like how powered flight arrived at Kitty Hawk in … Continue reading

Posted in Artificial Intelligence, LLM | Leave a comment