Latest Interviews
Showing 1–2 of 2 transcripts.
Clear all filters- Lex Fridman1h 0m
Turing Test: Can Machines Think?
Alan Turing, Eugene Goostman, Ada Lovelace, Francois Chollet
This presentation rigorously reevaluates Alan Turing's 1950 proposal for distinguishing machine intelligence through the Imitation Game, contrasting its original engineering predictions with modern failures in the Lobner Prize and the deceptive success of Eugene Guzman. The analysis challenges traditional philosophical objections like the Chinese Room Argument while introducing rigorous new benchmarks such as the Winograd Schema Challenge and Abstraction and Reasoning Corpus to overcome the limitations of short-duration text-only interactions. Ultimately, the discussion frames the Turing test not as a completed milestone but as an essential, evolving framework for maintaining industry accountability while shifting focus toward long-term adaptive reasoning and open-domain conversation.
- Lex Fridman1h 5m
Drago Anguelov (Waymo) - MIT Self-Driving Cars
Drago Anguelov, Kieran Strobel
Waymo commemorates a decade of autonomous driving and over 10 million public road miles by advancing its core AI architecture of perception, prediction, and planning to address complex edge cases through a hybrid machine learning and rule-based system. The company fuels this development with an "ML Factory" that utilizes active learning, automated neural architecture search, and a massive simulation environment capable of generating 7 billion virtual miles daily to validate safety across diverse scenarios. Future efforts focus on scaling a single adaptable model to new cities without retraining, relying on rigorous testing protocols and self-improving algorithms to gradually achieve widespread commercial deployment.