In this episode of Infinite Tech, Preston Pysh interviews Dr. Richard Wallace, a pioneer in chatbot creation and a three-time Loebner Prize winner, about the early foundations of conversational AI and their relevance to today's language models. They discuss the importance of simplicity over scale in early AI development, the differences between supervised rule-based systems and modern LLMs, and the limitations of the Turing Test. Dr. Wallace shares his insights on the development of ALICE and the AIML language, emphasizing the role of conversation logs in programming responses and the balance between supervised and unsupervised learning. The conversation explores the challenges of removing human input from AI development and the potential for combining symbolic reasoning with neural networks.
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