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It is interesting to see how much of human parsing of language depends on prior probability, probably expected pairs of concepts, because I had double-take on t

It is interesting to see how much of human parsing of language depends on prior probability, probably expected pairs of concepts, because I had double-take on that sentence, since my brain really was not expecting to find combinations of KFC, Malbolge, or General Hospital in a single sentence.

motohagiography 6y ago
Seriously thought the whole thing was generated by a connector between GPT-3 and a new deepfake engine. Still think that's what it is. This is mind breaking.
- dane-pgp 6y ago
  Ah, you beat me to writing a comment that mentioned GPT-3, but I promise I didn't see yours when I started writing mine. Perhaps human thoughts are more predictable than we like to believe. Anyway, to make your suggestion of "a new deepfake engine" more concrete, let me include a reference to DALL-E, the recently announced text-to-image engine from OpenAI: https://venturebeat.com/2021/01/16/openais-text-to-image-engine-dall-e-is-a-powerful-visual-idea-generator/ https://venturebeat.com/2021/01/16/openais-text-to-image-eng...
  - motohagiography 6y ago
    Thank you, that's deeply horrifying! :)
- scrps 6y ago
  That was my first thought as well until I saw the tweet, though the possibility of it being an acid flashback was a close second.
dane-pgp 6y ago
I had a similar experiencing when reading it, and now I'm wondering if there is a way to use a language model like GPT-3 to measure how unlikely a given string of words is, relative to other headlines.
- siegecraft 6y ago
  I don't think you need something that heavyweight to do this (although maybe for an entire headline). Amazon has had the "Statistically Improbable Phrases" feature for books for quite a while now.
Liquid_Fire 6y ago
I was not aware that General Hospital was the name of a TV show, so not only the headline but the article itself made little sense to me initially - it read like randomly generated spam.

motohagiography 6y ago

Seriously thought the whole thing was generated by a connector between GPT-3 and a new deepfake engine. Still think that's what it is. This is mind breaking.

dane-pgp 6y ago
Ah, you beat me to writing a comment that mentioned GPT-3, but I promise I didn't see yours when I started writing mine. Perhaps human thoughts are more predictable than we like to believe. Anyway, to make your suggestion of "a new deepfake engine" more concrete, let me include a reference to DALL-E, the recently announced text-to-image engine from OpenAI: https://venturebeat.com/2021/01/16/openais-text-to-image-engine-dall-e-is-a-powerful-visual-idea-generator/ https://venturebeat.com/2021/01/16/openais-text-to-image-eng...
- motohagiography 6y ago
  Thank you, that's deeply horrifying! :)
scrps 6y ago
That was my first thought as well until I saw the tweet, though the possibility of it being an acid flashback was a close second.

dane-pgp 6y ago

I had a similar experiencing when reading it, and now I'm wondering if there is a way to use a language model like GPT-3 to measure how unlikely a given string of words is, relative to other headlines.

siegecraft 6y ago
I don't think you need something that heavyweight to do this (although maybe for an entire headline). Amazon has had the "Statistically Improbable Phrases" feature for books for quite a while now.

Liquid_Fire 6y ago

I was not aware that General Hospital was the name of a TV show, so not only the headline but the article itself made little sense to me initially - it read like randomly generated spam.