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2.23 MB
Extraction Summary
5
People
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Organizations
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Locations
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Events
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Relationships
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Quotes
Document Information
Type:
Article or book excerpt
File Size:
2.23 MB
Summary
This document is an essay or chapter by physicist Neil Gershenfeld titled "Scaling." Gershenfeld analyzes the history of artificial intelligence as a series of "boom-bust cycles" (mainframes, expert systems, perceptrons, deep learning), arguing that the continuity of progress—specifically in mastering scaling and the distinction between linear and exponential functions—is often overlooked. He references historical figures like Norbert Wiener and Claude Shannon to contextualize the evolution of AI.
People (5)
| Name | Role | Context |
|---|---|---|
| Neil Gershenfeld | ||
| Alan Gershenfeld | ||
| Joel Cutcher-Gershenfeld | ||
| Norbert Wiener | ||
| Claude Shannon |
Organizations (1)
| Name | Type | Context |
|---|---|---|
| MIT’s Center for Bits and Atoms |
Relationships (3)
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Key Quotes (5)
"Discussions about artificial intelligence have been oddly ahistorical."Source
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Quote #1
"Those swings mask the continuity in the underlying progress and the implications for where it’s headed."Source
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Quote #2
"We’re now in the deep-learning era, which is delivering on many of the early AI promises but in a way that’s considered hard to understand, with consequences ranging from intellectual to existential threats."Source
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Quote #3
"Less apparent is the steady progress we’ve made in mastering scaling."Source
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Quote #4
"Wiener is credited with creating the field of cybernetics; I’ve never understood what that is, but what’s missing from the book is at the heart of how AI has progressed."Source
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Quote #5
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