The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Are Large Language Models a Path to AGI? with Ben Goertzel - #625

Apr 17, 2023

Ben Goertzel, CEO of SingularityNET and a pioneer in AGI research, dives into the future of artificial general intelligence. He discusses the limitations of current Large Language Models and advocates for a decentralized approach to AGI akin to the internet's rollout. Conversations touch on integrating neural networks with symbolic logic for more effective AI systems, and the creative potential of LLMs in music generation. Ben also shares insights from his work with the OpenCog framework and the ethical implications of emerging AGI technologies.

59:35

Creator website

Episode guests

Ben Goertzel

AI Chapters

Episode notes

Intro

2min

Navigating Artificial General Intelligence

20min

Exploring Paths to Artificial General Intelligence

3min

Integrating AI Paradigms Through Mathematical Frameworks

5min

Innovative Pathways to Artificial General Intelligence

5min

The Evolution and Perception of AI: Sophia the Humanoid Robot

3min

Navigating the Ethics and Future of AGI

20min

Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his preference for a decentralized rollout comparable to the internet or Linux. Ben shares his research in bridging neural nets, symbolic logic engines, and evolutionary programming engines to develop a common mathematical framework for AI paradigms. We also discuss the limitations of Large Language Models and the potential of hybridizing LLMs with other AGI approaches. Additionally, we chat about their work using LLMs for music generation and the limitations of formalizing creativity. Finally, Ben discusses his team's work with the OpenCog Hyperon framework and Simuli to achieve AGI, and the potential implications of their research in the future.

The complete show notes for this episode can be found at https://twimlai.com/go/625