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FT Tech Tonic
Superintelligent AI: can chatbots think?
Nov 28, 2023
Prof. Emily Bender and Pablo Arredondo discuss the intelligence of generative AI systems like ChatGPT and their role in legal reasoning. The limitations of chatbots in language understanding and the concept of 'stochastic parrots' are explored. The challenges of AI systems in explaining reasoning and the debate on AGI funding and anthropomorphization are also discussed.
28:36
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Quick takeaways
- Generative AI systems like chat GPT excel at pattern matching but lack true comprehension and understanding.
- Claims of emergent capabilities and impressive reasoning abilities in AI systems may be misleading and not indicative of true intelligence.
Deep dives
The Limitations of AI and the Clever Hans Effect
Artificial intelligence, particularly generative AI systems like chat GPT, may appear to exhibit human-level cognitive abilities, such as reasoning and problem-solving. However, experts argue that these systems are actually engaged in advanced pattern matching rather than true understanding or intelligence. They can generate plausible text and even pass exams like the bar exam with impressive scores, but their lack of true comprehension is revealed when asked to explain their reasoning. These AI systems, like chat GPT, are essentially large language models that excel at stringing words together in a coherent manner, but they lack the deeper understanding and meaning behind the words. This reliance on superficial patterns and cues from training data, known as the clever Hans effect, can lead to correct answers for the wrong reasons.
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