Collection of GPT-3 resultspost by Kaj_Sotala · 2020-07-18T20:04:50.027Z · LW · GW · 24 comments
This is a link post for https://twitter.com/xuenay/status/1283312640199196673
I kept seeing all kinds of crazy reports about people's experiences with GPT-3, so I figured that I'd start collecting them.
- first gwern's crazy collection of all kinds of prompts, with GPT-3 generating poetry, summarizing stories, rewriting things in different styles, and much much more. (previous discussion [LW · GW])
- Automatic code generation from natural language descriptions. "Give me a page with a table showing the GDP of different nations, and a red button."
- Building a functioning React app by just describing it to GPT-3.
- Taking a brief technical tweet about GPT-3 and expanding it to an essay which the author of the original tweet mostly endorses.
- Acting as a more intense therapist than ELIZA ever was. [1, 2]
- On the other hand, you can trick GPT-3 into saying nonsense. On the other hand, you can just prompt it to point out the nonsense.
- Redditor shares an "AI Dungeon" game played with the new GPT-3 -based "Dragon Model", involving a cohesive story generated in response to their actions, with only a little manual editing.
- The official Dragon Model announcement.
- I was a little skeptical about some of these GPT-3 results until I tried the Dragon Model myself, and had it generate cohesive space opera with almost no editing.
- Another example of automatically generated code, this time giving GPT-3 a bit of React code defining a component called "ThreeButtonComponent" or "HeaderComponent", and letting it write the rest.
- From a brief description of a medical issue, GPT-3 correctly generates an explanation indicating that it's a case of asthma, mentions a drug that's used to treat asthma, the type of receptor the drug works on, and which multiple-choice quiz question this indicates.
- GPT-3 tries to get a software job, and comes close to passing a phone screen.
- Translating natural language descriptions into shell commands, and vice versa.
- Given a prompt with a few lines of dialogue, GPT-3 continues the story, incorporating details such as having a character make 1800s references after it was briefly mentioned that she's a nineteenth-century noblewoman.
- Turning natural language into lawyerese.
- Using GPT-3 to help you with gratitude journaling.
- Source is an anonymous image board poster so could be fake, but: if you give an AI Dungeon character fake wolf ears and then ask her to explain formal logic to you, she may use the ears in her example.
- Even after seeing all the other results, I honestly have difficulties believing that this one is real.
- Of course, even GPT-3 fumbles sometimes.
Comments sorted by top scores.