#77 – Elizabeth Seger on Open Sourcing AI

#77 – Elizabeth Seger on Open Sourcing AI

From Hear This Idea by Fin Moorhouse and Luca Righetti

July 25, 2024 · 1h 21m · Episode 77

About this episode

In this episode, Elizabeth Seger discusses the risks and benefits of open sourcing AI models.

Elizabeth Seger is the Director of Technology Policy at Demos , a cross-party UK think tank with a program on trustworthy AI . You can find links and a transcript at www.hearthisidea.com/episodes/seger In this episode we talked about open source the risks and benefits of open source AI models. We talk about: What ‘open source’ really means What is (and isn’t) open about ‘open source’ AI models How open source weights and code are useful for AI safety research How and when the costs of open sourcing frontier model weights might outweigh the benefits Analogies to ‘open sourcing nuclear designs’ and the open science movement You can get in touch through our website or on Twitter . Consider leaving us an honest review wherever you're listening to this — it's the best free way to support the show. Thanks for listening! Note that this episode was recorded before the release of Meta’s Llama 3.1 family of models . Note also that in the episode Elizabeth referenced an older version of the definition maintained by OSI (roughly version 0.0.3 ). The current OSI definition (0.0.8) now does a much better job of delineating between different model components.

People in this episode

Guest: Elizabeth Seger

Topics covered

  • open source AI
  • AI safety research
  • technology policy
  • trustworthy AI
  • digital ecosystem

Keywords

  • open source
  • AI models
  • Demos
  • nuclear designs
  • open science

Mentioned in this episode

Products: Llama 3.1

Places: UK

More episodes of Hear This Idea

Explore listener stats, chart rankings, contacts and more on the Hear This Idea podcast page.