The Odyssey of Artificial Intelligence: Code, Consciousness, and the Human Future What if machines could dream or discover what makes us truly human? We travel into the depths of artificial intelligence in Fatih Bildirici's Explain The Explainables podcast. In a world where code begins to mimic consciousness and ethical dilemmas merge with innovation, we open the mysterious 'black boxes' of neural networks, uncover algorithmic biases, and question whether we are pioneers or mere spectators in the rise of silicon.
Explain The Explainables
Claim This Podcastby Fatih Bildirici PhD(c)
5.0(1 reviews)
7 episodes
Updated Daily
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32
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality51
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Engagement32
Podcast Overview
The Odyssey of Artificial Intelligence: Code, Consciousness, and the Human Future What if machines could dream or discover what makes us truly human? We travel into the depths of artificial intelligence in Fatih Bildirici's Explain The Explainables podcast. In a world where code begins to mimic consciousness and ethical dilemmas merge with innovation, we open the mysterious 'black boxes' of neural networks, uncover algorithmic biases, and question whether we are pioneers or mere spectators in the rise of silicon.
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Publishing Since
2/1/2025
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Recent Episodes
March 3, 2025
Yuval Noah Harari's Nexus, Information Networks & Artificial Intelligence Explainability
<p>Throughout history, information networks have shaped not only what we know, but also who we are. Now artificial intelligence is building the most powerful information networks in human history. But how do we shape these networks?</p><p>Inspired by Yuval Noah Harari's book Nexus, in this episode, we talk about why knowledge ecosystems need diversity, how AI can make decision-making processes more transparent, and how human-machine collaboration can create a new balance.</p><p>Links:</p><ul><li>https://fbildirici.github.io</li><li>https://www.ynharari.com/book/nexus/</li><li>https://www.nytimes.com/2024/09/10/books/review/nexus-yuval-noah-harari.html</li><li>https://www.theguardian.com/books/article/2024/sep/10/nexus-a-brief-history-of-information-networks-from-the-stone-age-to-ai-by-yuval-noah-harari-review-rage-against-the-machine</li></ul>
February 23, 2025
Explain Large Language Models: History, Attention, Transformers, ChatGPT, Deepseek and Explainability
<p>Join us for a groundbreaking episode of Explain the Explainables by your favorite podcast host, Fatih Bildirici PhD(c), unbound where we explore the fascinating world of Large Language Models, starting with the revolutionary 2017 paper "Attention Is All You Need." From its Beatles-inspired title to becoming the foundation of modern AI with over 160,000 citations, we'll uncover how this breakthrough transformed machine learning forever.</p><p>In this episode, we dive deep into the history, philosophy and architecture that powers tools like ChatGPT and modern AI systems. Through engaging storytelling and clear examples, we'll explore how machines learned to understand human language, the significance of the Transformer architecture, and what it means for our future.</p><p>Whether you're a tech enthusiast or simply curious about AI, this episode offers an accessible journey into one of the most transformative technologies of our time. We'll also feature insights from explainability side.</p><p>Don't miss this illuminating exploration of how a single paper revolutionized artificial intelligence and set the stage for the AI revolution we're experiencing today.</p><p>Recommended resources:</p><ul><li>Mywebsite: https://fbildirici.github.io</li><li>Andrej Karpathy's Intro to LLMs: https://www.youtube.com/watch?v=zjkBMFhNj_g</li><li>Attention is All You Need: https://arxiv.org/abs/1706.03762</li><li>Explainability of LLMs: https://dl.acm.org/doi/10.1145/3639372</li></ul>
February 17, 2025
Decoding Symbolic AI: History of Good Old Fashioned Artificial Intelligence
<p>In this episode, we delve deeper into the foundations, history, and current importance of Good Old-Fashioned Artificial Intelligence (GOFAI) and Symbolic AI. Discover the adventure of researchers taking the first steps of artificial intelligence from the 1950s onwards, designing systems based on logic, rules, and symbols to mimic human intelligence.</p><p><br /></p><p>What Are We Talking About?</p><p><br /></p><ul><li>History and Foundations: The birth of GOFAI, the role of the Dartmouth Conference, and the visions of pioneers such as Allen Newell, Herbert Simon, and Marvin Minsky.</li></ul><ul><li>Rise of Expert Systems: The achievements and limitations of landmark projects such as MYCIN (medical diagnostics), DENDRAL (chemical analysis), SHRDLU (natural language processing).</li><p>Challenges and AI Winters: Frame Problem (unexpected situations), knowledge representation issues, and disappointments caused by overly optimistic predictions.</p></ul><ul><li>Modern Connections: How GOFAI-inspired Explainable Artificial Intelligence (XAI) and neuro-symbolic systems (deep learning + logic) are creating more transparent and reliable AI.</li><p><br /></p></ul><p>About Me: https://fbildirici.github.io</p>
7 total episodes available
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This podcast updates daily.
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