TECH011: The History of AI and Chatbots w/ Dr. Richard Wallace (Tech Podcast)
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The Turing Test's structure and limits
Wallace unpacks Turing's imitation game, Loebner contest rules, and why the Turing test is scientifically ambiguous.
Dr. Richard Wallace, creator of ALICE and AIML, shares his journey from 1990s chatbot innovation to today’s AI frontiers.
He and Preston also explore AI’s learning methods, human vs machine intelligence, and the evolving role of creativity in artificial minds.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro
00:02:46 - How a 1990 New York Times article inspired Richard Wallace’s AI journey
00:03:42 - What made the ALICE chatbot revolutionary in its time
00:07:20 - The principles behind minimalist robotics and their influence on AI
00:12:00 - How AIML works and why it was crucial to early chatbot success
00:16:30 - The contrast between supervised and unsupervised learning methods
00:17:20 - Why LLM decision-making processes remain hard to interpret
00:20:33 - How humans and chatbots use language in surprisingly robotic ways
00:24:43 - The philosophical roots of the Turing Test and its modern critiques
00:40:19 - Insights on combining symbolic and neural approaches in AI today
00:41:18 - What Wallace is working on now at Franz in medical AI predictions
Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.
BOOKS AND RESOURCES
- The platform behind ALICE: Pandorabots.com.
- Website: Franz.
- Related books mentioned in the podcast.
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