Visual Documentation Language
summary
Claims that area 17 extracts scene gist in 30 ms, demonstrates a Google image captioner that generates "two pizzas sitting on top of a stovetop" for an unseen photo, and shows a text→image experiment using a thousand-word Ruby docs query. Uses the golden ratio ≈1.6 for diagram shapes and UML-like elements, tests emoji substitutions for programming terms, cites comic-embedded Ruby books as teaching tools, and proposes hiring technical illustrators to produce graphic-novel style docs.
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chapters (12)
- 0:00Introduction
- 3:29Images versus text
- 7:23Visual cortex and scene perception
- 10:15Advances in visual technology
- 13:26Typography and document design
- 15:55Communication evolution
- 17:19Emojis in digital communication
- 19:49Storytelling with visuals
- 21:59Documentary drawing
- 23:25Key takeaways and visual language benefits
- 25:13Collaboration in technical docs
- 26:16Q&A
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