The Opinionated Ontologist
The Opinionated Ontologist
Podcast Description
I'm Jamie McCusker, the host of The Opinionated Ontologist, a weekly podcast where I discuss Graph AI in all its forms (neurosymbolic AI, knowledge graphs, semantics, knowledge representation, and, of course, generative AI). I interview thought leaders in academia, industry, and culture who are researching, creating, and using graph AI to solve real problems. We discuss current trends and historical context, as well as provide introductions to concepts in Graph AI as needed. Since I am the Opinionated Ontologist, I also will add my own thoughts on topics in separate Op Ed episodes. Hosted on Acast. See acast.com/privacy for more information.
Podcast Insights
Content Themes
Episodes explore themes such as the fundamentals of knowledge graphs, the interplay between machine and human cognition, and current trends in AI technologies. For example, one episode discusses Retrieval-Augmented Generation's relationship with knowledge graphs, while another features a conversation about the historical context and future of autonomous agents in AI.
I’m Jamie McCusker, the host of The Opinionated Ontologist, a weekly podcast where I discuss Graph AI in all its forms (neurosymbolic AI, knowledge graphs, semantics, knowledge representation, and, of course, generative AI). I interview thought leaders in academia, industry, and culture who are researching, creating, and using graph AI to solve real problems. We discuss current trends and historical context, as well as provide introductions to concepts in Graph AI as needed. Since I am the Opinionated Ontologist, I also will add my own thoughts on topics in separate Op Ed episodes.
It’s been another activating week in the AI doomer news cycle and our friends have been asking us – what’s our take? So here it is – our first (O,O) nanopublication, where Jamie and Braeden take a beat to respond to the AI-pocalypse hype and ease us all into a grounded conversation about governance, best practice, open vs. closed models, and the business models that are stoking the frenzy.
01:00 Unpacking the gap between AI doom and reality
04:15 The “bad dog” vs. “the leash” approach to AI safety
10:35 Looking at the structure of the AI market
14:08 OpenAI’s “marketing costs”
19:00 Using smaller, open models
23:54 How Jamie uses AI
28:12 What governance looks like
31:54 What does accountability look like
33:36 Making time to ask hard questions
36:00 What will happen to closed-model markets
Connect with us on LinkedIn and let us know what you think. You can bring us your AI and ontology engineering questions for us answer on-air, over on our Patreon. In the meantime, we’ll see you in the concept map!
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