In a shocking showdown between digital titans, the ancient Atari 2600 chess engine—powered by a humble 1.19 MHz CPU—has decisively beaten ChatGPT at its own game! How could this old-school AI, limited by tech from the late '70s, defeat one of today’s most advanced AI language models?

Professor GePhardT pulls back the curtain, exploring the intriguing differences between specialized and generalized AI.

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Through relatable examples and a captivating real-world case study, you'll uncover why bigger isn't always better and why sometimes, simplicity reigns supreme.

Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice.

Music credit: "Modern Situations" by Unicorn Heads

Retro Revenge: How Atari’s Chess Engine Beat Up ChatGPT 20:12 Share

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Retro Revenge: How Atari’s Chess Engine Beat Up ChatGPT