Supervised vs unsupervised learning contrast

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.
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