Lightning Talks
summary
Multiple rapid segments give concrete outcomes: a claim of a machine learning in Ruby book with code on GitHub and working examples (facial classification, spam, sentiment); a live card‑counting demo that explains the +1/0/−1 count and shows it balancing across decks; RuboCop cutting a project from 1522 offenses reduced to ~400 after autofix; a CMS being built and launching in November; a team that built ASIC mining chips but ran out of money. Watch if demos, numbers, and working code matter.
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chapters (15)
- 0:00Intro
- 0:18Matthew Kirk
- 2:42John Feminella
- 9:34David Molina
- 13:49Bethany Rentz
- 16:10Lauren Voswinkel
- 19:40Andrew Havens
- 24:46Cassie Schmitz
- 29:07Natha
- 32:12Kerri Miller
- 35:47Scott Windsor
- 40:04Joel Stimson
- 44:00John Hyland
- 51:01Whitney-Rose Levis
- 56:16Liz Rush & Hsing-Hui Hsu








