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#ai-reasoning

57 episodes · Page 3 of 3

#1083: Mapping the Second Black Box: Agentic AI Visualization

Stop reading messy logs. Discover how mapping "internal momentum" and latent value spaces can solve the black box problem in agentic AI.

ai-agentsprompt-engineeringai-reasoning

#974: The Digital Gardener: Why We Don't Understand Our Own AI

We build digital cathedrals but lack the blueprints. Explore the "black box" of AI, emergent abilities, and the mystery of double descent.

large-language-modelsai-reasoninglatent-spaceinterpretabilityemergent-abilities

#971: Stress-Testing the Soul: Philosophy in the Age of AI

Is human meaning fully mapped out? Discover why AI isn’t killing philosophy, but stress-testing it for a new era of hybrid agency.

philosophical-mappingai-ethicsai-reasoninghuman-computer-interactiondigital-consciousness

#791: The Roller Coaster of Tech Adoption

Is the AI magic wearing off? We dive into the Gartner Hype Cycle to see where LLMs and autonomous agents actually stand in 2026.

ai-agentsgenerative-aiai-reasoning

#652: The Art of Hopeful Pausing: AI Logic vs. Human Reality

Exploring the gap between AI's logic leaps and the slow pace of physical reality. How do we stay hopeful without losing ourselves in the wait?

large-language-modelsai-reasoningexpectation-management

#628: GPT-5.2: 12 Hours of Reason and the Future of AGI

GPT-5.2 spent 12 hours reasoning to solve a novel quantum physics proof. Is this the dawn of AGI or just a very sophisticated calculator?

large-language-modelsai-reasoningartificial-general-intelligence

#600: When AI Becomes a Socratic Mirror

Forget basic quizzes. Discover how Socratic AI agents and embedding spaces are helping us map our deepest political and philosophical beliefs.

ai-agentsai-ethicsai-reasoning

#584: Will AI Brain Drain Kill the Modern University?

Can AI actually do math research? Herman and Corn dive into DeepMind’s Alithia agent and the shift toward "System 2" thinking in AI.

ai-agentsai-reasoningai-training

#336: The World Model Revolution: Beyond LLM Token Prediction

Herman and Corn explore why LLMs struggle with logic and how the shift to world models is giving AI a sense of physics and spatial reality.

world-modelsai-reasoningsystem-1-system-2