Topic

Continual Learning

Latest viewpoints

Agent interactions should become signals for future improvement

Karanam says the work generated through real agent interactions is commonly discarded, but it should instead serve as learning signal that allows agents to improve with continued use.

Arjun Karanam Continual Learning Source at 1:09

Continual learning can create systems that compound with use

Karanam describes continual learning as a path toward faster, better, and cheaper models, with the larger goal of creating systems whose capabilities compound as they are used.

Arjun Karanam Continual Learning Source at 1:32

Continual learning should optimize the whole intelligence system

Karanam defines product intelligence as a system containing models, harnesses, context, and other components, and says continual learning should determine which component should be updated for each new piece of information.

Arjun Karanam Continual Learning Source at 7:37

Leaders

Jensen Huang

CEO, Nvidia

Last interview Sep 2, 2026

Howard Lutnick

Public business viewpoint profile

Last interview Sep 2, 2026

Sam Altman

CEO, OpenAI

Last interview Sep 2, 2026

Elon Musk

CEO, SpaceX / Tesla

Last interview Sep 1, 2026

Julien Bek

Partner, Sequoia Capital

Last interview Aug 24, 2026

Thibault Sottiaux

Engineer, OpenAI

Last interview Aug 24, 2026

Matthew Berman

Influencer, Forward Future

Last interview Aug 24, 2026

David Senra

Podcaster, Senra Show

Last interview Aug 23, 2026

LeAnn Foster

Founder, EUTHENICS

Last interview Aug 22, 2026

Eric Ho

CEO, Goodfire

Last interview Aug 21, 2026