Episodi

  • From Markov to AGI: The Evolution and Ethics of Artificial Intelligence
    Jul 15 2025

    Dive into the fascinating journey of Artificial Intelligence, from its roots in Andrey Markov’s statistical text analysis and Claude Shannon’s information theory to the cutting-edge advancements driving today’s natural language processing and the pursuit of Artificial General Intelligence (AGI). In this episode, we explore the historical foundations of AI and unpack a thought-provoking conversation with Mustafa Suleyman, CEO of Microsoft AI, who shares insights on DeepMind, Inflection AI, and the challenges of building AGI—think perfect memory and complex action sequencing. We also tackle the big questions: What does AI consciousness mean? How do we ensure its safety? And why must diverse voices shape its future? Join us for a deep dive into AI as a reflection of human culture and a tool for societal progress.

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    6 min
  • AI Minds & Human Goals: Unpacking May 2025 Breakthroughs
    May 9 2025

    This episode dives into the latest AI research from arXiv’s May 2025 submissions, exploring advancements in Large AI Models, human-AI collaboration, and safety challenges. From soccer agents to vision-based collision systems and AI-driven healthcare, we unpack key innovations and their impact on trust, ethics, and real-world applications.

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    15 min
  • Brain and consciousness pt.1
    May 7 2025

    The brain simulated reality story

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    14 min
  • Short episode on E2GAN
    Jan 25 2024
    8 min
  • "Odin vs LLMs-augmented LLMs, what a fight would be!"
    Jan 13 2024
    Here a list of links of pdfs read them all first and think. At the end just reply you're done and wait for my instructions: https://arxiv.org/pdf/2401.02416 https://arxiv.org/pdf/2401.02412 https://arxiv.org/pdf/2401.02411 https://arxiv.org/pdf/2401.02403 https://arxiv.org/pdf/2401.02385
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    15 min
  • Medieval Honeypots for cybersecurity and LLMs use for causal analysis, who's excited?
    Jan 9 2024
    From cybersecurity strategies in dynamic networks to the innovative use of large language models in causal analysis, we’ve journeyed through some of the most exciting and cutting-edge research in AI. These studies not only push the boundaries of what’s possible but also highlight the challenges and considerations in implementing AI solutions: https://arxiv.org/abs/2312.16820 ; https://arxiv.org/abs/2312.16767 ; https://arxiv.org/abs/2312.16423 ; https://arxiv.org/abs/2312.16364 ; https://arxiv.org/abs/2312.16211 ;
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    12 min
  • “LLMs parade and how to train your AI at Olympic level"
    Jan 3 2024
    Here's the top two.. TACO Dataset: Revolutionizing algorithmic code generation with a diverse and challenging dataset. Pangu-Agent: A fine-tunable generalist AI agent showcasing structured reasoning capabilities. https://arxiv.org/abs/2312.14890; https://arxiv.org/abs/2312.14878 ; https://arxiv.org/abs/2312.14852 ; https://arxiv.org/abs/2312.14836 ; https://arxiv.org/abs/2312.14670 ; I do not hold the rights for the scientific publications cited/discussed.
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    10 min
  • AI for shopping, gaming and a curious model to unload and sort trains!
    Dec 28 2023
    AI’s Retail Revolution & Logistics Labyrinth - Unpacking the Future of Shopping and Shipping! Tune in for an AI-powered journey from digital aisles to portside puzzles.
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    15 min