0:00
/
Jennifer Prendki explains why AI needs to emulate life
Prendki describes how her work on large artificial-intelligence models shaped her view that current AI needs inspiration from living organisms.
By
Paul Middlebrooks
30 July 2025 | 109 min watch
In this “Brain Inspired” episode, Paul Middlebrooks talks with Jennifer Prendki, a particle physicist turned artificial-intelligence expert. Prendki believes continuing to scale AI will not result in the properties needed to ensure AI safety and a better future for humanity. Instead, she looks to biological life, and possibly consciousness, as a preferable path forward.
Read the transcript.
tags:
Recommended reading
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
By
Paul Middlebrooks
27 August 2025 | 1 min read
Chris Rozell explains how brain stimulation and AI are helping to treat mental disorders
By
Paul Middlebrooks
13 August 2025 | 1 min read
Keith Hengen and Woodrow Shew explore criticality and cognition
By
Paul Middlebrooks
16 July 2025 | 94 min listen
Explore more from The Transmitter
Grace Hwang and Joe Monaco discuss the future of NeuroAI
By
Paul Middlebrooks
4 December 2024 | 97 min listen
How Anthony Zador thinks neuroscience can help improve AI
By
Paul Middlebrooks
11 November 2024 | 93 min listen
Hessameddin Akhlaghpour outlines how RNA may implement universal computation
By
Paul Middlebrooks
26 November 2024 | 107 min listen
Cite this article: