Stay ConnectedAI agents are expanding what one person can build, operate, and own.
They lower the cost of building and operating while making scattered demand easier to reach. That changes the shape of ambition. A company need not be venture-shaped. It can be founder-shaped: focused, durable, and capable of changing its founder’s life without changing the world.
Super Prompt began by exploring how humans work with AI. Now we learn by building.
Copyright: © 2024 Super Prompt Productions
AI that screens for diseases like COVID-19 based on voice patterns. Speaking a simple phrase into your phone, the system analyzes your voice profile for respiratory illness, and can be trained for conditions ranging from obesity to substance use. How voice biomarkers work and what this means for health screening. Featuring Mario Arancibia, CTO and entrepreneur.
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Can neural networks authenticate artwork? Husband-and-wife team Steven and Andrea Frank developed AI to assess painting authenticity. They tested it on Salvator Mundi, which sold for $450 million as a Leonardo da Vinci—the most expensive painting ever sold. How the technology works and what it found. Featuring Maroof Farooq, AI Engineer at Nvidia.
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AlphaGo, created by DeepMind, played 9-dan champion Lee Sedol in a televised match that reportedly changed how China's leadership viewed AI. The game of Go has more board positions than atoms in the observable universe. How AlphaGo approached this complexity, and what the unexpected moves revealed about machine learning. Featuring Maroof Farooq, AI Engineer at Nvidia.
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A digital replica of the driving environment is being built for autonomous vehicle training. The goal: make simulation indistinguishable from reality for self-driving AI. How this works, why it matters, and what happens when virtual training meets real-world edge cases. Featuring Maroof Farooq, AI Engineer at Nvidia.
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What's easy for a teenage driver but hard for autonomous vehicles? Bicycles, bike racks, motorcycles—edge cases that reveal the gap between current AI capabilities and the roads we actually drive on. Tesla and other companies pitch fully autonomous vehicles as safer roads. We examine whether that claim holds up against the technical reality of perception systems trying to navigate human complexity. Featuring Maroof Farooq, AI Engineer at Nvidia.
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Tesla and Waymo take fundamentally different approaches to self-driving. We examine the technical differences, autonomous driving levels 1-5, and why stop signs remain one of the hardest problems to solve. Featuring Maroof Farooq, AI Engineer at Nvidia.
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How facial recognition works for surveillance—and how to fool it. We cover adversarial techniques using physical objects: clothing, accessories, even makeup. The technical principles behind why these methods work, and what they reveal about computer vision vulnerabilities. Featuring Maroof Farooq, AI Engineer at Nvidia.
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What makes GPT-3 different from previous language models? Recorded before ChatGPT's launch, this episode breaks down Generative Pre-trained Transformers—what those words actually mean, supervised vs unsupervised learning, and how these models generate text. Featuring Maroof Farooq, AI Engineer at Nvidia.
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How do you build AI that recognizes hot dogs? We walk through image classification from the ground up using the Seefood app from HBO's Silicon Valley. Learn about dataset acquisition, training methodology, and why scaling from hot dogs to all foods is harder than it sounds. Featuring Maroof Farooq, AI Engineer at Nvidia.
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Tony Wan, the host of Super Prompt, describes his vision for the podcast, who it's for, who he is, and why he’s doing it.
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