Thinking Machines: AI & Philosophy

This episode delves into the ongoing debate of the competitiveness between open-source and closed-source models and the reasons behind Meta's decision to publish Llama2 with a permissive open-source license

We cover:
  • How much bigger can closed-sourced models be, compared to open-source?
  • Are new competitor foundation models doomed, if Meta enters the game?
  • What does “second place” look like, in open source?
  • Can open-source datasets compete?
  • Will very large open-source models soon become illegal?

Creators & Guests

Host
Daniel Reid Cahn
Founder @ Slingshot - AI for all, not just Goliath

What is Thinking Machines: AI & Philosophy?

“Thinking Machines,” hosted by Daniel Reid Cahn, bridges the worlds of artificial intelligence and philosophy - aimed at technical audiences. Episodes explore how AI challenges our understanding of topics like consciousness, free will, and morality, featuring interviews with leading thinkers, AI leaders, founders, machine learning engineers, and philosophers. Daniel guides listeners through the complex landscape of artificial intelligence, questioning its impact on human knowledge, ethics, and the future.

We talk through the big questions that are bubbling through the AI community, covering topics like "Can AI be Creative?" and "Is the Turing Test outdated?", introduce new concepts to our vocabulary like "human washing," and only occasionally agree with each other.

Daniel is a machine learning engineer who misses his time as a philosopher at King's College London. Daniel is the cofounder and CEO of Slingshot AI, building the foundation model for psychology.