Description

Ever wonder why ChatGPT, Perplexity or Claude fall apart playing chess? In this episode of Two-Minute AI Tips, Sarah shares what happened when she relied on Claude mid-game, and why language models will never match a real chess engine.

In this episode, you’ll learn:

• Why LLMs can’t calculate with precision
• The difference between pattern-matching and strategic depth
• What this teaches us about trusting AI in high-stakes decisions

If you’ve ever mistaken confidence for competence, this episode is your checkmate.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/