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OpenAI Codex… Tech Unemployment Forthcoming?

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orchid flirting gas station regret
  11/27/21
not even close
Overrated exciting public bath
  11/27/21
Why not?
orchid flirting gas station regret
  11/27/21
https://arxiv.org/abs/2111.08267 https://arxiv.org/abs/2111...
Thriller Senate Old Irish Cottage
  11/27/21
I fail to see how the implication you draw follows.
Red Dashing Mood
  11/27/21
it's just repurposed GPT-3, fine-tuned for code generation o...
Thriller Senate Old Irish Cottage
  11/27/21
Your conclusion seems to be about "meta-learning" ...
Red Dashing Mood
  11/27/21
...
Spectacular orchestra pit
  11/27/21
...
misanthropic fat ankles set
  11/27/21
highest number of H1B visas in decades. odd case
vivacious multi-billionaire
  11/27/21
The ideal situation for tech companies is high supply and lo...
gay heaven sex offender
  11/27/21
...
fertile young woman plugged into zogbox 10 hrs/day
  07/08/26
i've heard this shit often gives retarded suggestions even f...
Bonkers preventive strike
  11/27/21
...
gaetan dugas
  07/08/26
lol
OYT and the Indie Reprieve
  07/08/26


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Date: November 27th, 2021 4:34 PM
Author: orchid flirting gas station regret



(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518127)



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Date: November 27th, 2021 4:34 PM
Author: Overrated exciting public bath

not even close

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518131)



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Date: November 27th, 2021 4:40 PM
Author: orchid flirting gas station regret

Why not?

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518151)



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Date: November 27th, 2021 4:44 PM
Author: Thriller Senate Old Irish Cottage

https://arxiv.org/abs/2111.08267

https://arxiv.org/abs/2111.08171

So basically with a little prompt engineering Codex can solve college level probability and linear algebra problems. Codex won't directly or immediately cause tech unemployment. that's not the point anyway. the implication of it is that the neural network scaling hypothesis is true and that NNs, when of sufficiently large size and trained on a wide range of experiences, start meta-learning. no need to study the brain in detail to figure out what the neocortex is doing and how to replicate it in silicon - just train NNs on large datasets and the neural networks will meta-learn powerful algorithms that generalize.

timelines to AGI are increasingly short.

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518169)



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Date: November 27th, 2021 5:03 PM
Author: Red Dashing Mood

I fail to see how the implication you draw follows.

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518251)



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Date: November 27th, 2021 5:16 PM
Author: Thriller Senate Old Irish Cottage

it's just repurposed GPT-3, fine-tuned for code generation on another dataset. the code generation capabilities are one part of the picture here. the same model has very impressive language comprehension and generation capabilities considering its architectural simplicity. the coding capabilities are more evidence that the model can be pushed to do many things with appropriate prompt engineering.

not to mention transformers are also work for image generation, reinforcement learning, image recognition, etc. if we were having to create highly specific models to solve certain tasks, that would be evidence in favor of the view that AGI will require substantial engineering effort. we are seeing the exact opposite. even a simple highly regularized MLP can accomplish what a transformer can when trained on enough data.

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518325)



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Date: November 27th, 2021 5:28 PM
Author: Red Dashing Mood

Your conclusion seems to be about "meta-learning" from "large datasets", presumably leading to some sort of "foom" scenario, but the examples you've given are of narrowly-circumscribed problems for which there are large datasets available. So, I am having a hard time following how your conclusion follows from your premises. Wouldn't the more modest conclusion be that, in areas with sufficient data and amenable to production of large amounts of data and which are otherwise tractable, AI will prove useful? I don't see any hint of universal generalization.

What is the missing piece that's been filled in that answers questions like those raised by Pearl http://ftp.cs.ucla.edu/pub/stat_ser/r475.pdf

Jordan https://hdsr.mitpress.mit.edu/pub/wot7mkc1/release/9

or Hanson https://spectrum.ieee.org/economics-of-the-singularity

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518398)



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Date: November 27th, 2021 9:40 PM
Author: Spectacular orchestra pit



(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43519775)



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Date: November 27th, 2021 8:27 PM
Author: misanthropic fat ankles set



(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43519385)



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Date: November 27th, 2021 4:35 PM
Author: vivacious multi-billionaire

highest number of H1B visas in decades. odd case

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518134)



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Date: November 27th, 2021 5:08 PM
Author: gay heaven sex offender

The ideal situation for tech companies is high supply and low demand. High number of H1Bs doesn't mean demand won't plummet

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43518276)



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Date: July 8th, 2026 3:34 PM
Author: fertile young woman plugged into zogbox 10 hrs/day



(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#49986578)



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Date: November 27th, 2021 9:37 PM
Author: Bonkers preventive strike

i've heard this shit often gives retarded suggestions even for javascript which you would think is a language with a lot of examples to learn from

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#43519765)



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Date: July 8th, 2026 3:28 PM
Author: gaetan dugas



(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#49986559)



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Date: July 8th, 2026 3:30 PM
Author: OYT and the Indie Reprieve ( )

lol

(http://www.autoadmit.com/thread.php?thread_id=4973764&forum_id=2.#49986564)