A Beginner's Guide to AI Breaking the AI Mold: Peter Voss on Why Large Language Models Aren’t the Path to True Intelligence
Nov 28, 2024
Peter Voss, CEO of Aigo.ai and co-creator of 'Artificial General Intelligence' (AGI), delves into the shortcomings of current AI systems like large language models. He argues that these models lack true intelligence compared to cognitive AI. Voss shares insights from his journey in AI, highlighting the need for a cohesive system combining logical reasoning and pattern recognition. He believes AGI has the potential to revolutionize industries, especially healthcare, by mimicking human learning processes and overcoming the limitations of traditional approaches.
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AGI vs Narrow AI
- Artificial General Intelligence (AGI) aims to build machines that think and learn like humans generally, not just in narrow tasks.
- Current AI, including large language models, is narrow AI that excels only at specific tasks engineered by humans.
Limits of Large Language Models
- Large language models rely on massive data and compute but lack a theory of human intelligence.
- They are costly, cannot learn incrementally, and won't achieve true human-like intelligence.
Integrated Neurosymbolic Architecture
- INSA integrates neural and symbolic AI to combine fuzzy pattern recognition with logical reasoning.
- This integration allows for incremental learning and concept formation, key to replicating human cognition.