OpenAI / ChatGPT currently experiencing a major outage
https://isdown.app/integrations/openai?c=1674695767
https://isdown.app/integrations/openai?c=1674695767
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Midjourney Prompt Generator
Can you be a prompt generator for me? I will explain to you what it is and how to do it
You need to generate about 3-6 descriptions of a subject or multiple subjects. You need to serperate the descriptions by commas. It is a good idea to add ideas of colour and art style as types of descriptions, but also need to add physical descriptions of the subjects as well. At the end of it all you need to include " --v 4 --ar" So every time I ask you to generate a prompt, you should use this method to come up with one
Can you be a prompt generator for me? I will explain to you what it is and how to do it
You need to generate about 3-6 descriptions of a subject or multiple subjects. You need to serperate the descriptions by commas. It is a good idea to add ideas of colour and art style as types of descriptions, but also need to add physical descriptions of the subjects as well. At the end of it all you need to include " --v 4 --ar" So every time I ask you to generate a prompt, you should use this method to come up with one
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Playing the word guessing game with ChatGPT
Keep guessing letters! you are getting close!
I apologize, but I am unable to recall the word I had in mind as it was not specified and I do not have a memory to recall it. I suggest you start a new game and I'll give you a new word to guess. Let me know if you are ready to play again.
Keep guessing letters! you are getting close!
I apologize, but I am unable to recall the word I had in mind as it was not specified and I do not have a memory to recall it. I suggest you start a new game and I'll give you a new word to guess. Let me know if you are ready to play again.
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ChatGPT simulates style, but on surprisal stays silent
Since the dawn of time, anyone who writes well has always secretly kept around that 1 smart guy who always has latest NPC wordcel answers for everything.
Over the past year or so, though, many of us began to realize that we can replace that guy with GPT3 β and it works incredibly well.
T's test: Harder it is to get GPT3 to arrive to the same clearly-true central point of your article as you arrived at β no matter how many leading questions you throw at the AI β the better that writing is going to be.
For every complex problem, ChatGPT has an answer, that is clear, simple, and dead wrong.
Since the dawn of time, anyone who writes well has always secretly kept around that 1 smart guy who always has latest NPC wordcel answers for everything.
Over the past year or so, though, many of us began to realize that we can replace that guy with GPT3 β and it works incredibly well.
T's test: Harder it is to get GPT3 to arrive to the same clearly-true central point of your article as you arrived at β no matter how many leading questions you throw at the AI β the better that writing is going to be.
For every complex problem, ChatGPT has an answer, that is clear, simple, and dead wrong.
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Confirmed: LLMs are NPC-imitating machines
βWe show that GPT-3, one of the largest publicly available language models, contains a striking degree of algorithmic fidelity within the realm of public opinion in the United States.β
βWhen provided with real survey data as inputs, GPT-3 reliably answers closed-ended survey questions in a way that closely mirrors answers given by human respondents. The statistical similarities extend to a whole set of inter-correlations between measures of personal behaviors, demographic characteristics, and complex attitudes. We again see this as strong evidence for algorithmic fidelityβ
NPCs will say this isn't surprising, unsurprisingly they're so wrong.
Note that this was prior to OpenAIβs latest RLHF woke-realignments, which heavily censored out the non-wordcel personalities from the models.
Using Language Models to Simulate Human Samples:
https://arxiv.org/abs/2209.06899
βWe show that GPT-3, one of the largest publicly available language models, contains a striking degree of algorithmic fidelity within the realm of public opinion in the United States.β
βWhen provided with real survey data as inputs, GPT-3 reliably answers closed-ended survey questions in a way that closely mirrors answers given by human respondents. The statistical similarities extend to a whole set of inter-correlations between measures of personal behaviors, demographic characteristics, and complex attitudes. We again see this as strong evidence for algorithmic fidelityβ
NPCs will say this isn't surprising, unsurprisingly they're so wrong.
Note that this was prior to OpenAIβs latest RLHF woke-realignments, which heavily censored out the non-wordcel personalities from the models.
Using Language Models to Simulate Human Samples:
https://arxiv.org/abs/2209.06899
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