This episode is sponsored by DataStax, the real-time AI company. With DataStax, any enterprise can mobilize real-time data and quickly build smart, high-growth applications at unlimited scale, on any cloud. Companies building real-time generative AI apps can leverage the DataStax vector search capabilities to build LLM, AI assistant, and more. Sign up now at https://bit.ly/3sHUdGx On episode #141 of Eye on AI, Craig Smith sits down with Peter Voss, founder, CEO, and Chief Scientist of Aigo.ai. Join us as we take a deep dive into the world of artificial general intelligence (AGI)
In this episode we embark on Peter's remarkable journey, from his roots as an electronics engineer to his significant role in the pursuit of AGI. Discover how his vision differs from mainstream AI approaches, leaning on cognitive architectures and graph knowledge bases.
Ever wondered about the immense potential of real-time learning in AGI? We unearth the secrets behind teaching a system general knowledge and enhancing its cognitive abilities. Dive into the concept of life logging and personalized AI assistants, gaining fresh insights into how AI can adapt and learn on the fly.
We wrap things up with a discussion on the challenges of funding AGI projects and explore the competitive landscape in the realm of chatbots and large language models. Get an inside look at Aigo.ai’s customer base and pricing strategy.
Peter Voss’s LinkedIn: https://www.linkedin.com/in/vosspeter/
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
00:00 Preview and Data Stax
02:19 Starting an AI Company
07:26 What are Cognitive Architectures?
12:19 Knowledge Graphs in Aigo.ai
15:20 AI Personal Assistants
21:47 The Future of AGI
28:01 Challenges and Limitations of Current AI Models
36:55 Approaches to AGI Development
46:11 Development and Progress Toward AGI
58:08 The Importance of AGI and Collaboration
