The Importance of Expertise and Interdisciplinary Dialogue in AI Discourse

The Artificial Intelligence landscape is changing with remarkable speed these days, and the capability of Large Language Models in particular has led to speculation (and hope, and fear) that we could be on the verge of achieving Artificial General Intelligence. I don't think so. Or at least, while what is being achieved is legitimately impressive, it's not anything like the kind of thinking that is done by human beings. LLMs do not model the world in the same way we do, nor are they driven by the same kinds of feelings and motivations. It is therefore extremely misleading to throw around words like "intelligence" and "values" without thinking carefully about what is meant in this new context.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2023/11/27/258-solo-ai-thinks-different/

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Some relevant references:

• Introduction to LLMs by Andrej Karpathy (video)
• OpenAI's GPT
• Melanie Mitchell: Can Large Language Models Reason?
• Mitchell et al.: Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks
• Kim et al.: FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
• Butlin et al.: Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
• Margaret Boden: AI doesn't have feelings

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