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EP25 - The Alignment Problem: Ensuring a Safe and Beneficial Future
In our series finale, we tackle the most critical challenge in artificial intelligence: the alignment problem. As AI systems surpass human capabilities, how do we ensure their goals, values, and…
EP24 - AI Ethics: Decoding Algorithmic Bias, Fairness, and Accountability
AI systems are not neutral. This episode moves from technical mechanisms to societal impact, exploring how algorithmic bias arises from human data and design. We will deconstruct real-world cases of…
EP23 - Generative AI (Part 2): Diffusion Models and the Art of Denoising
We deconstruct the generative AI revolution behind DALL-E, Midjourney, and Stable Diffusion. This episode explores Diffusion Models, explaining the elegant, two-part process of destroying an image…
EP22 - Generative AI Part 1: GAN and VAE Creative Architectures
We move beyond AI that analyzes and into AI that *creates*. This episode deconstructs the two foundational models of generative AI: Generative Adversarial Networks (GANs), which learn through a…
EP21 - Large Language Models and The Power of Scale
This episode moves from the Transformer architecture to the models that define our era: Large Language Models (LLMs). We explore how the simple act of "next-word prediction," when combined with…
EP20 - The Transformer Architecture: Attention is All You Need
This episode deconstructs the 2017 paper that revolutionized AI. We go "under the hood" of the Transformer architecture, moving beyond the sequential bottleneck of RNNs to understand its parallel…
EP19 - Robotics and Embodied AI: Giving AI a Body
We move AI from the abstract world of data to the physical world of matter. This episode deconstructs Embodied AI, exploring the deep connection between intelligence, a physical body, and real-world…
EP18 - LSTMs and the Vanishing Gradient: Solving AI's Long-Term Memory Problem
Simple RNNs are fatally flawed; they have the memory of a goldfish. This episode dives "under the hood" to diagnose the "vanishing gradient problem" that causes this amnesia and systematically…
EP17 - Recurrent Neural Networks: How AI Learns to Remember the Past
Journey beyond static data to explore the world of sequences, where order is everything. This episode deconstructs the Recurrent Neural Network, or R N N, the revolutionary architecture that gives AI…
EP16 - The CNN Engine: Inside Convolutional and Pooling Layers
Last episode, we learned what a Convolutional Neural Network (CNN) is. Now, we go under the hood to deconstruct its two most critical components: the convolutional layer and the pooling layer. You'll…
EP15 - The Convolutional Revolution: How CNNs Gave AI Vision
We shift from generalized deep learning to specialized architectures, starting with how machines interpret the visual world. This episode dives into Computer Vision and the revolutionary…
EP14 - Activation Functions: The Spark of Non-Linearity in Neural Networks
Why can a 100-layer neural network be no smarter than a single neuron? The answer lies in linearity. This episode deconstructs activation functions, the essential components that introduce…
EP13 - AI's Learning Engine: Gradient Descent and Backpropagation
How does a neural network with millions of parameters actually learn from its mistakes? This episode dives under the hood of deep learning's core engine, demystifying the two algorithms that make it…
EP12 - Multi-Layer Perceptrons: Overcoming the XOR Problem with Hidden Layers
We confront a simple puzzle that nearly killed neural networks: the XOR problem. Discover why the single Perceptron failed and how the Multi-Layer Perceptron (MLP), by adding hidden layers, provided…
EP11 - The Perceptron: AI's Original Artificial Neuron
How does an artificial brain learn? Our deep dive into neural networks begins with the Perceptron, the original artificial neuron from 1958. We'll deconstruct this fundamental algorithm, exploring…
EP10 - Reinforcement Learning: The Trial and Error Revolution
This episode deconstructs Reinforcement Learning (RL), the third and final paradigm of machine learning. We explore how an "agent" learns to make optimal decisions by interacting with an…
EP9 - Unsupervised Learning: Finding Structure in Unlabeled Data
What if you have a mountain of data but no "answer key"? This is the challenge of unsupervised learning. In this episode, we move beyond the labeled world of supervised learning to explore how…
EP8 - Supervised Learning: How Machine Learning Uses an Answer Key
Discover supervised learning, the most common type of machine learning that powers everything from spam filters to medical diagnoses. We'll deconstruct how AI learns from labeled data—a "teacher's…
EP7 - Machine Learning: The Great AI Pivot from Rules to Data
This episode marks a critical pivot from classical AI's hand-crafted rules to the data-driven world of Machine Learning. We explore why the old paradigm failed and how ML algorithms learn patterns…
EP6 - Knowledge Representation and Logic: How AI 'Knows' Its World
How does an AI system move beyond processing data to actually *knowing* something? This episode explores Knowledge Representation and Reasoning, or KRR, the classical AI discipline of translating the…
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AI Deconstructed has published 26 episodes since May 2025, covering topics in Technology.
AI Deconstructed is currently dormant with new episodes weekly. Average episode length is 38m.
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