Épisodes

  • EP25 - The Alignment Problem: Ensuring a Safe and Beneficial Future

    EP25 - The Alignment Problem: Ensuring a Safe and Beneficial Future
    Oct 30 2025
    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 objectives remain aligned with our own? This episode explores the profound difference between what we tell an AI to do and what we actually mean, and why solving this is the final, essential step in building a safe and beneficial AI future.
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    43 min
  • EP22 - Generative AI Part 1: GAN and VAE Creative Architectures

    EP22 - Generative AI Part 1: GAN and VAE Creative Architectures
    Oct 11 2025
    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 "forger and detective" game, and Variational Autoencoders (VAEs), which learn to create by mastering compression.
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    22 min
  • EP21 - Large Language Models and The Power of Scale

    EP21 - Large Language Models and The Power of Scale
    Oct 4 2025
    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 internet-scale data and massive compute, leads to the surprising "emergent abilities" of models like GPT-4, and we break down the crucial training paradigm of pre-training and fine-tuning.
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    32 min
  • EP20 - The Transformer Architecture: Attention is All You Need

    EP20 - The Transformer Architecture: Attention is All You Need
    Sep 27 2025
    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 processing and the core mechanism of self-attention. Learn how Queries, Keys, and Values enable the powerful contextual understanding that powers all modern Large Language Models.
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    28 min