The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Are Large Language Models a Path to AGI? with Ben Goertzel - #625
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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.
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Defining AGI
- AGI is pragmatically defined as having a human-like ability to generalize, extrapolate, and creatively go beyond programming.
- Narrow AI, the opposite of AGI, performs one specific configured task.
LLMs and Generality
- LLMs achieve a form of generality by matching against vast training data, not true generalization ability.
- LLMs exhibit limitations in few-shot learning, struggling with negation and complex logical structures.
MusicLM and Jazz
- Training a MusicLM model on pre-1900s music won't lead to the invention of jazz, despite relevant musical elements existing.
- This illustrates LLMs' limitations in deep knowledge representation and creative leaps.