#4 - The Hubris of Computer Scientists
from Increments Hosted by Ben Chugg and Vaden Masrani
Are computer scientists recklessly applying their methods to other fields without sufficient thoughtfulness? What are computer scientists good for anyway? Ben, in true masochistic fashion, worries that computer scientists are overstepping their bounds. Vaden analyzes his worries with a random forest and determines that they are only 10% accurate, but then proceeds to piss of his entire field by arguing that we're nowhere close to true artificial intelligence. References "Good" isn't good enough, Ben Green. "How close are we to creating artificial intelligence?", David Deutsch, Aeon "Artificial Intelligence - The Revolution Hasn't Happened Yet", Michael Jordan, Medium "Deep Learning: A Critical Appraisal", Gary Marcus Errata Vaden says "every logarithmic curve starts with exponential growth". This should be "every logistic curve stats with exponential growth". Vaden says "95 degree accuracy". This should be "95 percent accuracy." The three main rationalists were Descarte, Spinoza, and Leibniz, and the three main empiricists were Bacon, Locke, and Hume. (Not whatever Vaden said)
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Chapters
- 0:00 Intro: feedback, downloads, show overview
- 5:22 Main segment: CS hubris and AI for social good
- 10:23 Steelmanning the Ben Green paper
- 14:03 Pushback: Green's political agenda critique
- 23:50 CS's unique power and special obligation
- 41:22 Division of labor, not domination
- 53:30 Pivot to AGI: where hubris really lives
- 1:00:01 Expected value vs. existential risk debate
- 1:12:26 Value alignment is already a present problem
- 1:20:48 Why deep learning can't produce AGI
- 1:26:26 Closing thoughts
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