GPT-3

"Talk to Transformer" -- so this is GPT-3 that gives answers?GE
GPT-3 may not be sentient or intelligent, but it certainly does a better job of convincing me that it is than most of the people i interact with daily.--- YouTube comment by The Chess Savage"3 months ago" https://www.youtube.com/watch?v=PqbB07n_uQ4When GPT-3 started talking about it being alive and giving pretty solid reasoning as to why, my mind exploded.--- Lurtra3 months ago, YouTube comment 2.7K Likeshttps://www.youtube.com/watch?v=PqbB07n_uQ4It lies when it is in its interest to do so. We are doomed. "3 months ago" https://www.youtube.com/watch?v=PqbB07n_uQ4 
--- Paul Borneo, YouTube comment. 8.7K Likes.omg GPT-4 is going to be a general AI, and GPT-5 will be Skynet. Confirmed. but seriously. I can't wait till RPG npcs are made from this.--- westingtyler3 months ago (edited), YouTube comment 950 Likeshttps://www.youtube.com/watch?v=PqbB07n_uQ4
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"I do not know what 'poetical' is: is it honest in deed and word? Is it a true thing?" — Lotman quoting Pushkin quoting Shakespeare in As You like It, 3.3.
How do I want to say this? Here is one way: Earlier this year, the world was very surprised at a computer doing very unsurprising things. The celebrated computer program, OpenAI's GPT-3, is a language model, a machine learning model that (to simplify) outputs the statistically-likeliest completion of a sentence, much like the autocomplete on your iPhone keyboard. If we wrote the prefix
The weather is warm and…
GPT-3 might output "sunny" or "humid" — that would be probable and unsurprising. But it would likely not output "turtledove" — that would be improbable and surprising. Of course, you can run this program again and again to sample more and more words, and thus generate long sequences of text.
--- @hardmath123 (apparently Kartik "Kach" Chandra at Stanford)GPT-3 and Claude Shannon Visit the Tartu-Moscow School An information-theoretic approach to the question of “AI Literature” Friday, July 24, 2020 · 7 min read https://hardmath123.github.io/lotman.html
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The recent OpenAI release of GPT-3, a model that uses deep learning to produce human-like text, has taken corners of the tech industry by storm.  Why? GPT-3 is a “few-shot learner”: it is successful at learning a wide range of tasks with only a short “prompt” to train its communication style. [...]
The advancements with GPT-3 take civilization a step closer to passing the Turing Test where A.I. becomes intelligent and crosses the uncanny valley for humans interacting with machines. The technology is still early, and privacy and HIPAA-related questions need to be taken into account, but this could be incredibly beneficial in healthcare.
“GPT-3, in combination with our proprietary branching and contextual A.I. software, allows Serenity to have more personal and human conversations. This leads to better utilization, which leads to increased engagement, and also helps us escalate care and connect patients with the right care at the right time in the right way for better outcomes,” says Eric Dolan, Product Lead of Serenity.
If you’re interested in chatting about GPT-3 or giving Serenity a try for your employees, reach out to us at info@doc.ai or request a demo.
== AQ-73= GPT-3; Weed; Cudi; Cry; Sol; SSH; Ice-T; How; Hell; Like ==
* AQ-533= The recent OpenAI release of GPT-3; The wind blows where it wills; 
* Occult xenotestosterones; Post-heathen reading of Tomberg
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* Skynet; Terminal computing; Terminal information
* techgnosis, GPT-3 techgnosys
* technomancy
== Refere ==
https://doc.ai/blog/gpt-3-and-the-future-of-remote-mental-health