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How AI Works

How AI Works

By: Podra Network
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What is actually going on inside AI — the concepts, the breakthroughs and the science behind artificial intelligence explained clearly.Copyright Podra Network
Episodes
  • The Future of Thinking Machines: Where AI Goes Next

    The Future of Thinking Machines: Where AI Goes Next
    Jul 1 2026
    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 revolutionize AI capabilities. Learn about AI's expanding role in scientific research, creative applications, and its potential as collaborative partners in discovery and innovation. The discussion covers critical challenges including AI safety, interpretability, and alignment with human values as systems become more autonomous and powerful. From transfer learning and real-time adaptation to the theoretical possibilities of artificial general intelligence, this episode provides a comprehensive look at where thinking machines might be headed. Perfect for technology enthusiasts, researchers, and anyone curious about AI's trajectory, this episode balances exciting possibilities with realistic assessments of current limitations and future challenges. Essential listening for understanding how artificial intelligence might reshape research, creativity, and human-computer collaboration in the coming decades while addressing important ethical considerations.
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    5 mins
  • Ethics in the Algorithm: Bias, Fairness, and Responsible AI

    Ethics in the Algorithm: Bias, Fairness, and Responsible AI
    Jun 24 2026
    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 AI, from equal treatment to equal outcomes, and discusses why these concepts often conflict. The episode covers practical solutions including diverse development teams, algorithmic transparency, and continuous bias auditing. Learn about emerging AI regulations like the EU's AI Act and understand your role as a citizen in the age of algorithmic decision-making. From data quality and representation to the importance of human oversight, this comprehensive discussion provides essential insights into responsible AI development. Whether you're a tech professional, policy maker, or simply someone affected by AI systems in daily life, this episode offers crucial knowledge about ensuring artificial intelligence serves all of humanity fairly. Explore the ongoing challenges and promising solutions in the quest to build ethical, accountable, and inclusive AI systems that respect human rights and democratic values.
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    5 mins
  • The Limits of Silicon Intelligence: What AI Can't Do

    The Limits of Silicon Intelligence: What AI Can't Do
    Jun 17 2026
    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 recognition, and cannot engage in genuine creativity despite impressive content generation abilities. Cole discusses why current AI systems cannot experience emotions or consciousness, highlighting the difference between simulating responses and genuine subjective experience. The episode also covers challenges in physical world interaction and the inability of AI to engage in authentic moral reasoning. Rather than diminishing AI's achievements, understanding these limitations helps us use AI tools more effectively while recognizing the continuing importance of human capabilities like creativity, emotional intelligence, and ethical judgment. This balanced perspective is essential for anyone seeking to understand AI's role in our increasingly digital world and the irreplaceable value of human intelligence in domains requiring genuine understanding, moral reasoning, and creative insight.
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    5 mins
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