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Chapters & Sections (85)
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0:09
Defining the Free Energy Principle
0:31
The Matrix and Brain Reality
1:02
Star Talk Special Edition Introduction
1:34
AI and Machine Learning in the Human Condition
2:37
Guest Introduction: KL Friston
4:10
Definition and Application of Free Energy Principle
4:44
Self-Organization and Minimum Energy
5:14
Free Energy in Physics and Machine Learning
6:48
Belief Updating and Artificial Intelligence
7:21
Explanation and World Modeling
7:51
Interpreting Neuronal Dynamics and Free Energy
8:22
Cybernetics and Modeling the Environment
9:26
Causal Structure and Connectivity in the Brain
11:00
Active Inference and Free Energy Principle
11:35
Perception as Unconscious Inference
12:05
Clarification on Perception and Subconscious
12:36
Breakdown of Sense Making and Perception
13:07
Unconscious Inference and Hypothesis Testing
15:15
The Role of Fantastical Dysfunction in Worldbuilding
16:16
Artistic Expression and the Perception of Reality
16:49
Adapting to Change and Updating Predictions
17:51
Generative AI and the Free Energy Principle
19:24
Evolutionary Adaptation and Prediction Errors - Part 1
20:26
Evolutionary Adaptation and Prediction Errors - Part 2
20:58
Evolutionary Adaptation and Prediction Errors - Part 3
22:33
Consciousness, Brain Preservation, and Silicon Upload - Part 1
23:03
Example of Predicted Processing and Language Models
23:35
Embodied Intelligence and Active Inference
24:05
Large Language Models and Brain-Vat Comparison
25:06
Prompt Engineering and AI Feedback Loops
25:38
Active Inference, Deja Vu, and Missing Information
26:11
Creativity and Insight in Question Answering
26:43
Ignoring Sensory Evidence for Movement
27:14
Optic Suppression and Fake News
28:18
Ignoring Irrelevant Information
28:49
The Matrix and Perception Manipulation
30:54
Intentional Selection and Agency
31:25
Large Language Models and Selection
31:57
Attention Mechanisms in Transformers
32:27
Probability and Perception
32:57
Limitations of Large Language Models
35:01
Comparing Human, Bee, and Termite Intelligence
35:32
Large Language Models and Attention
36:04
Action, Inference, and Generative Models
37:05
Organoid Intelligence and Synthetic Biological Intelligence
37:37
Defining Artificial General Intelligence (AGI)
38:08
Neuromorphic and Natural Kinds of Intelligent Behavior
38:41
Defining AGI as Natural Intelligence
39:12
Roadmap for Sustainable AI Development
39:45
Efficiency and Sustainability in AI
40:49
Limitations of Large Language Models
41:22
The Age of Intelligence and Agency
42:26
The Problem of Generalized Intelligence and Morality
42:56
Consciousness, Sentience, and Self-Awareness
43:26
Differentiating Self-Awareness from Sentience
45:33
Applying the Free Energy Principle to Human Decision-Making
46:04
Simulating Self-Organization in Robots and Digital Twins
46:35
Using Simulation for Observation Models of Real Artifacts
47:05
Modeling Sense Making and Inference in Computers
47:37
Practical Applications of Understanding Brain Function
48:10
The Limitations of Neural Net Decision Making
48:41
The Free Energy Principle and Self-Organization
49:42
Relationship between Variational Free Energy and Prediction Error
50:14
Basian Inference and Updating Beliefs
51:16
Updating Beliefs with New Evidence
52:51
Evidentiary Supported Belief and AI Hallucinations
53:22
The Brain's Inference Process and Hallucinations
54:54
Understanding the Mechanics of Failed Inferences
55:26
The Importance of Selecting and Ignoring Data
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