Jennifer Shahade
Person on 3 sites
Jennifer Shahade is an American chess player, poker player, commentator and writer.
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6 facts on wiqqi (opens wiqqi.app)
- Born: 31 December 1980, Philadelphia (opens wiqqi.app)
- Titles: Woman Grandmaster; US Women's Chess Champion (2002, 2004); first woman to win the US Junior Open (1998) (opens wiqqi.app)
- Books: Chess Bitch (2005); Play Like a Girl; Chess Queens; Thinking Sideways (2026); co-author of Marcel Duchamp: The Art of Chess (opens wiqqi.app)
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4 channels on ppll (opens ppll.app)
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YouTube: Jen Shahade & Fabi (opens www.youtube.com)
“Find the Mate vs. Magnus Carlsen! 🧠♟️”
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Newsletter: See the Sideways Move (opens jenshahade.substack.com)
“Rook, Knight, Quarterback”
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Bluesky: @jenshahade.bsky.social (opens bsky.app)
“jenshahade.substack.com/p/the-knight... My latest on why LLMs keep choosing the horsey and the number seven, and how to practice divergence:”
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YouTube: Jen Shahade & Fabi (opens www.youtube.com)
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12 beliefs on korrents (opens korrents.com)
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LLMs converge on popular patterns and themes rather than providing truly random results. (opens korrents.com)
“LLMs aren't trying to give you a random result, but a likely result, and their training data contains lots of sevens. So that's what you'll get. Again and again. Unless you prompt it not to.”
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Using LLMs for brainstorming may lead to a narrow path of predictable ideas. (opens korrents.com)
“What feels like a random, organic process may be leading us down a narrow path of cool sounding numbers and ideas.”
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The value of divergence will increase as LLM-generated content becomes more prevalent. (opens korrents.com)
“As we are surrounded more and more with LLM generated text, images and ideas, the value of divergence will go up and up.”
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LLMs converge on popular patterns and themes rather than providing truly random results. (opens korrents.com)