I use Computational Linquistics in the broadest form as:
1. The study of how to make computers understand speech (correlative)
2. More abstractly, the use of human speech by computers to disambiguate the meaning of speech into a universally commensurable system of measurement. (A system of measurement)
3. So that computers can understand the semantic content of speech by construction from first principles. ( A logic )
4. Lastly, to allow us to reverse engineer the incentives and biases of speakers from those first principles. (A science).
As you’re aware, we collect vast amounts of data to discover first principles of human error, bias, and deception, just as we have used vast amounts of data to discover personality differences, and just as we have to discover intelligence differences.
The primary innovation in my work is the unification of the sciences into a universally commensurable value-neutral language. But some of the most important insights of my work have come from the analysis of sex, class, and cultural differences in lying, and how these differences in lying are embedded in group evolutionary strategies.
The Abrahamists to the Ashkenazim were as innovative in lying as the Greeks to the English were in truth. And these competing systems of innovation of masculine truth to demand responsibility, and feminine lying to evade responsibility continue to this day.
Reply addressees: @WerrellBradley @junkodama10 @harari_yuval
Source date (UTC): 2023-08-27 19:17:10 UTC
Original post: https://twitter.com/i/web/status/1695878137014353920
Replying to: https://twitter.com/i/web/status/1695869175846314371
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