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Interesting analysis by @mhmazur. Human work is driven by clear goals and is informed by task-specific context. A model that is optimized for generating plausible-sounding text, ignoring goals and context, virtually never produces any useful answer (unless by random chance).https://twitter.com/mrpatto/status/1362844477157560320 …
Reminder: language serves a variety of purposes -- transmit information, act on the world to achieve specific goals, serve as a social lubricant, etc. Language cannot be modeled as a statistical distribution independent of these purposes.
This is akin to modeling the appearance of animals as a statistical distribution while ignoring the environment in which they live. You could use such a model to generate plausible-looking animals, but don't expect them to be able to survive in the wild (environmental fitness)
Animals evolved to fit their environment -- everything about them (us) is a product of environmental constraints. Likewise language is a construct evolved to fit a specific set of functions, and you cannot model it independently from this context.
Truly profound. There is work for the future.
Just like cells in an organism send signals that affect macro organism responses, so human signals of language, facial expressions, posture, auditory enunciations send signals to elicit external agent responses for higher optimal self and group functioning.
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