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Automatic code generation from natural language descriptions. "Give me a page with a table showing the GDP of different nations, and a red button."
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This is mind blowing. With GPT-3, I built a layout generator where you just describe any layout you want, and it generates the JSX code for you. W H A T
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Taking a brief technical tweet about GPT-3 and expanding it to an essay which the author of the original tweet mostly endorses.
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I am completely floored. Someone run a thought of mine through GPT-3 to expand it into an explanation of what I had in mind, and it's like 95% meaningful and 90% correct. I don't think that I have seen a human explanation of my more complicated tweets approaching this accuracy :) twitter.com/jessems/status…
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Also, using the architecture behind it to generate images.
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OpenAI releases Image-GPT, a version of the same AI that you've probably seen generating writing. Only this time the same architecture (!!!) is trained on images instead. Given a partial image, it can generate multiple different ways of completing it. openai.com/blog/image-gpt/
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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.
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Here's GPT-3 generating React components based on a _variable name_ alone, using the @OpenAI API.
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From a brief description, 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.
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So @OpenAI have given me early access to a tool which allows developers to use what is essentially the most powerful text generator ever. I thought I’d test it by asking a medical question. The bold text is the text generated by the AI. Incredible... (1/2)
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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.
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If you can't tell, I'm very excited about @OpenAI's API. I've been playing with it for the last few months and it feels like I got a glimpse inside of a friendly alien spaceship. Their beta is here: beta.openai.com Read about my experience: andrewmayneblog.wordpress.com/2020/06/11/the
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An earlier link pointed out that GPT-3 doesn't realize that nonsense questions are nonsense questions. But you can also just tell GPT-3 to treat nonsense as such.
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Replying to @eigenrobot
it's all about the prelude before the conversation. You need to tell it what the AI is and is not capable. It's not trying to be right, it's trying to complete what it thinks the AI would do :)
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Even after seeing all the other results, I honestly have difficulties believing that this one is real.
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Replying to @kleptid @QuantumSeany and 2 others
Teaching GPT-3 to do a brute force 'for loop' checking answers also seems to work
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Starting to see lots of "GPT-3 is overhyped and not that smart" articles now. Sure it's not actually intelligent, but the fact that a non-intelligent thing can do so many things is still significant and it will have lots of applications.
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For me, the big story about #gpt3 is not that it is smart - it is dumb as a pile of rocks - but that piles of rocks can do many things we thought you needed to be smart for. Fake intelligence may be dominant over real intelligence in many domains.
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Writer gives GPT-3 the beginning of an "How to recruit board members to your startup?" essay, thinks the second half is good enough to add into the essay.
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Omfg, ok so I fed GPT3 the first half of my "How to run an Effective Board Meeting" (first screenshot) AND IT FUCKIN WROTE UP A 3-STEP PROCESS ON HOW TO RECRUIT BOARD MEMBERS THAT I SHOULD HONESTLY NOW PUT INTO MY DAMN ESSAY (second/third screenshot) IM LOSING MY MIND
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Richard "GPT-3" Dawkins summarizes the central idea of his book, "The Selfish Gene". (Also GPT-generated conversations with other famous people in that thread.)
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1/ Asked @RichardDawkins on GPT3 to explain the central idea of his book "The Selfish Gene". Here's what it said. (Everything after Dear Paras is GPT3).
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GPT-3 as a general question-answering system. (If I were to use that, I'd make sure to check those sources it gives, but of course even an answer that you have to verify from the source is better than nothing.)
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I made a fully functioning search engine on top of GPT3. For any arbitrary query, it returns the exact answer AND the corresponding URL. Look at the entire video. It's MIND BLOWINGLY good. cc: @gdb @npew @gwern
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Integrating it to Google Sheets: fill in surrounding cells, GPT-3 figures out how to autocomplete the contents of the next one.
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=GPT3()... the spreadsheet function to rule them all. Impressed with how well it pattern matches from a few examples. The same function looked up state populations, peoples' twitter usernames and employers, and did some math.
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Humans of GPT-3.
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Humans of AI: Virtual beings dreamed up by @Rosebud_AI and their stories by GPT3. Dm's are open if you want to contribute to this collection of fictional humans with ever familiar stories as a collaborative art project. instagram.com/generative.pho Thread 0/9.
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