AI
Thoughts, techniques, influences, reflections on Machine Intelligence
AI
Our longtime adviser John Sviokla likes to talk about the idea of "WINS" work.
For background, John is a senior fellow at Harvard Business School, a former professor there, and a widely respected voice on AI.
WINS stands for "words, images, numbers, and sounds." As John likes to explain it, the more WINS work you do, the more vulnerable you are.
It's ... See more
For background, John is a senior fellow at Harvard Business School, a former professor there, and a widely respected voice on AI.
WINS stands for "words, images, numbers, and sounds." As John likes to explain it, the more WINS work you do, the more vulnerable you are.
It's ... See more
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Crystallization of a central conception of information, by articulating its’ dimensions
Sounds like a barn-burner of a premise, color me intrigued
Excellent analogy of the data sphere we are now in the early stages (2024) of creating. The richness of the images gives purpose to my desire to return to serious study of the emerging AI field.
The text is taken from 1st page of Chapter 33 of Fall of Hyperion by Dan Simmons
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