Super Prompt: The Generative AI Podcast

Alpha Go AI plays the game of GO against a human world champion. Unexpected moves by both man (9-dan Go champion Lee Sedol) and machine (Alpha Go). Supposedly, this televised Go match woke up China's leadership to the potential of AI. In the game of Go, players take turns placing black and white tiles on a 19×19 grid. The number of board positions in Go is greater than the number of atoms in the observable universe. We discuss the documentary Alpha Go which tells the story of Alpha Go (created by DeepMind, acquired by Google), and the human Go champions it plays against. Who will you cheer for: man or machine? I speak again with my friend Maroof Farook, an AI Engineer at Nvidia. [Note: Maroof’s views are his and not that of his employer.] Please enjoy our conversation.

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I speak again with my friend Maroof Farook who is an AI Engineer at Nvidia. [Note: Maroof’s views are his and not that of his employer.] This is a continuation of our previous conversation about self-driving cars. We discuss AI challenges including humans on bicycles, bicycles on bike racks, motorcycles, and other things easy for a teenager with a driving permit to figure out but hard for a computer. "Roads with fully autonomous vehicles will be a safer roads." That's what companies like Tesla developing self-driving cars are pitching. Is there any truth to that? We find out. Please enjoy this episode. Here’s my conversation with Maroof Farook.

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A 100% digital version of the world's driving environment is being created AKA The Metaverse. Think an immersive virtual reality environment like Grand Theft Auto with less destruction, profanity, and mayhem. The goal? Have a self-driving AI not be able to tell if it’s driving in the real-world or a simulation. Can we fool AI into thinking it's not AI? Don’t freak out. Or freak out. The Matrix is being coded as we speak. I speak again with my friend Maroof Farook, an AI Engineer at Nvidia. [Note: Maroof’s views are his and not that of his employer.] Please enjoy our conversation.

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I speak with my friend Maroof Farook who is an AI Engineer at Nvidia. [Note: Maroof’s views are his and not that of his employer.] We discuss what’s different about the self-driving approaches of Tesla and Alphabet/Google/Waymo. We cover the phases of autonomous driving, from level 1 to level 5, the capabilities of each phase, and at which phase we can eat a cheeseburger while our car drives itself. Finally, we discuss why one of the most challenging problems of self-driving cars are stop signs.

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In this solo episode, we go beyond Google's Gemini and OpenAI's ChatGPT to take a look at Anthropic, a startup that made headlines after securing a $4 billion investment from Amazon. We'll also dive into the importance of AI industry benchmarks. Learn about LMSYS's Arena Elo and MMLU (Measuring Massive Multitask Language Understanding), including how these benchmarks are constructed and used to objectively evaluate the performance of large language models. Discover how benchmarks can help you identify promising chatbots in the market. Enjoy the episode!

Anthropic's Claude
https://claude.ai
LMSYS Leaderboard
https://chat.lmsys.org/?leaderboard

For more information, check out https://www.superprompt.fm There you can contact me and/or sign up for our newsletter.