Podra Network
How AI Works
What is actually going on inside AI — the concepts, the breakthroughs and the science behind artificial intelligence explained clearly.
Author
Podra Network
Category
Podcast website
Latest episode
Jul 1, 2026
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Episodes
The Future of Thinking Machines: Where AI Goes Next 01.07.2026 5:26
Join Daniel Cole as he explores the cutting-edge developments shaping the future of artificial intelligence. This episode examines the evolution from today's narrow AI systems toward more general artificial intelligence capable of transferring knowledge across domains and learning continuously. Discover how specialized hardware, including neuromorphic computing and quantum systems, could revolutio...
Ethics in the Algorithm: Bias, Fairness, and Responsible AI 24.06.2026 5:27
In this essential episode of How AI Works, host Daniel Cole explores the critical intersection of artificial intelligence and ethics. Discover how bias creeps into AI systems through training data and learn about the real-world impacts of algorithmic discrimination in facial recognition, criminal justice, and healthcare applications. Cole examines different philosophical approaches to fairness in...
The Limits of Silicon Intelligence: What AI Can't Do 17.06.2026 4:37
In this thought-provoking episode of How AI Works, host Daniel Cole examines the fundamental boundaries of artificial intelligence. While AI systems demonstrate remarkable capabilities across many domains, they face significant limitations that are important to understand. The episode explores how AI struggles with common sense reasoning, lacks true understanding of causation beyond pattern recogn...
Artificial Creativity: Can Machines Really Create Art? 10.06.2026 4:23
In this thought-provoking episode of How AI Works, host Daniel Cole explores whether artificial intelligence can truly create art or merely produce sophisticated imitations. We examine cutting-edge AI art generators like DALL-E, Midjourney, and Stable Diffusion, alongside AI music composers and poetry generators, questioning what separates genuine creativity from pattern recognition. The episode d...
Black Box Mystery: Why AI Decisions Are Hard to Explain 03.06.2026 5:07
In this episode of How AI Works, host Daniel Cole explores the black box mystery – why artificial intelligence systems often can't explain their decision-making processes. Discover how neural networks make decisions through millions of interconnected calculations, creating patterns that even their creators struggle to interpret. Learn about real-world implications when AI systems deny loan applica...
The Data Dilemma: Feeding Information to Hungry Algorithms 27.05.2026 4:49
In this episode of How AI Works, host Daniel Cole explores the complex world of data that powers artificial intelligence systems. Discover why modern AI algorithms require massive amounts of information to function effectively, and learn about the critical challenges facing developers in sourcing, processing, and maintaining high-quality datasets. The episode examines the 'garbage in, garbage out'...
Deep Dive: Why More Layers Make Smarter AI 20.05.2026 5:34
In this episode of How AI Works, host Daniel Cole explores the fundamental principle behind modern AI's impressive capabilities: neural network depth. Discover why adding more layers to artificial neural networks creates dramatically smarter systems and how this mirrors human cognitive processes. Learn about hierarchical learning, where each layer builds increasingly sophisticated understanding fr...
Trial and Error at Light Speed: Reinforcement Learning Explained 13.05.2026 4:56
Explore the fascinating world of reinforcement learning in this episode of How AI Works. Host Daniel Cole breaks down how AI systems learn through trial and error, much like humans learning to ride a bicycle, but at incredible speed. Discover how this powerful machine learning approach differs from supervised and unsupervised learning, using reward systems to help AI agents figure out optimal stra...
Teaching Machines to See: The Magic of Computer Vision 06.05.2026 5:36
Discover the fascinating world of computer vision in this episode of How AI Works. Host Daniel Cole explores how machines learn to interpret visual information, from basic pixel analysis to sophisticated neural networks that can recognize faces, objects, and complex scenes. Learn about the evolution from rule-based systems to deep learning approaches, and understand how computer vision powers ever...
Words, Words, Words: How Large Language Models Understand Text 29.04.2026 4:58
In this episode of How AI Works, host Daniel Cole explores the fascinating world of large language models and how they process and work with text. Discover how AI systems like ChatGPT break down language into tokens, convert words into numerical embeddings, and use transformer architecture to understand context across long passages. Learn about the attention mechanism that allows these models to f...
The Learning Algorithm: Training AI to Recognize Patterns 22.04.2026 4:59
Discover the fascinating world of AI pattern recognition in this comprehensive episode of How AI Works. Host Daniel Cole explores how machine learning algorithms are trained to identify patterns in data, from the initial dataset preparation to the complex mathematics of neural networks. Learn about the iterative training process, the challenge of generalization versus memorization, and the various...
Building Digital Brains: How Neural Networks Think 15.04.2026 5:04
Discover the fascinating world of neural networks in this episode of How AI Works. Host Daniel Cole explains how these digital brain-like structures process information, learn from data, and power modern AI applications. Learn about the fundamental architecture of neural networks, from input layers to hidden layers, and understand how backpropagation enables machine learning. Explore different typ...
Welcome to the Machine: What Is AI Really? 09.04.2026 5:10
In this foundational episode of How AI Works, host Daniel Cole explores the essential question: what is artificial intelligence really? From Alan Turing's groundbreaking work in the 1950s to today's sophisticated machine learning systems, we trace the evolution of AI and break down key concepts like narrow AI, machine learning, and deep learning. Daniel explains how modern AI systems process massi...
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