In the new special edition episode of Machine Learning Street Talk (MLST), a podcast featuring leading thinkers in the AI space, Sorcero Senior Scientist and NLU expert Dr. Walid Saba joins hosts Dr. Tim Scarfe and Dr. Keith Duggar for an unforgettable conversation with Professor Noam Chomsky.
Prof. Chomsky is regarded as the father of modern linguistics. He stands to be one of the most influential intellectuals of the 20th century. In this conversation, Prof. Chomsky shares his take on both the progress of linguistics and cognitive sciences, as well as the “deepest enduring mysteries of science and philosophy as a whole - exploring what may lie beyond our limits of understanding.”
In today's world, there are many gaps between claims and realities of progress when it comes to artificial intelligence. This interview explores these misconceptions, as well as “some of the profound misunderstandings of linguistics in general and Chomsky’s own work specifically which have persisted, at the highest levels of academia for over sixty years.”
The conversation leans into connectionism and large language models (LLMs), as well as the “quest to discover an intelligible world and the boundaries between silicon and biology.”
- Yann LeCun’s recent position paper on AGI, "A Path Towards Autonomous Machine Intelligence"
- The recently published paper, "Emergent Abilities of Large Language Models"
- Empiricism related to cognitive science
- Cognitive templates
- “The ghost in the machine”
- Dr. Tim Scarfe, CEO of Machine Learning Street Talk and Myrge
- Dr. Keith Duggar, Global Technology Lead at Microsoft
- Dr. Walid Saba, Senior Scientist at Sorcero
Dr. Saba has also shared his take on benchmarking progress in language understanding in this blog: Towards Meaningful Benchmarks for Measuring Progress in Language Understanding.