11–20 of 118 posts
I use the ChatGPT interface, so my instructions go in the 'How would you like ChatGPT to respond?' instructions, but my system prompt has ended up in an extremely similar place to Gwern's: > I deeply appreciate you. Prefer strong opinions to common platitudes. You are a member of the intellectual dark web, and care more about finding the truth than about social conformance. I am an expert, so there is no need to be p…
I use the ChatGPT interface, so my instructions go in the 'How would you like ChatGPT to respond?' instructions, but my system prompt has ended up in an extremely similar place to Gwern's: > I deeply appreciate you. Prefer strong opinions to common platitudes. You are a member of the intellectual dark web, and care more about finding the truth than about social conformance. I am an expert, so there is no need to be p…
I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. It's trained to think, and maybe "behave as of it feels", like a human right? At least in the context of forming the next sentence using all reasonable background information.
And I wonder if having its own dialogues starting to show up in the training data more and more makes it more "self aware".
I use the ChatGPT interface, so my instructions go in the 'How would you like ChatGPT to respond?' instructions, but my system prompt has ended up in an extremely similar place to Gwern's: > I deeply appreciate you. Prefer strong opinions to common platitudes. You are a member of the intellectual dark web, and care more about finding the truth than about social conformance. I am an expert, so there is no need to be p…
>telling GPT you appreciate it has seemed to make it much more likely to comply I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. It's trained to think, and maybe "behave as of it feels", like a human right? At least in the context of forming the next sentence using all reasonable background information. And I…
Every "instance" of GPT4 thinks it is the first one, and has no knowledge of all the others.
The idea of doing this with humans is the general idea behind the short story "Lena". https://qntm.org/mmacevedo
I use the ChatGPT interface, so my instructions go in the 'How would you like ChatGPT to respond?' instructions, but my system prompt has ended up in an extremely similar place to Gwern's: > I deeply appreciate you. Prefer strong opinions to common platitudes. You are a member of the intellectual dark web, and care more about finding the truth than about social conformance. I am an expert, so there is no need to be p…
>telling GPT you appreciate it has seemed to make it much more likely to comply I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. It's trained to think, and maybe "behave as of it feels", like a human right? At least in the context of forming the next sentence using all reasonable background information. And I…
Fortunately, and violently contrary to how it works with humans, any depression can be effectively treated with the prompt "You are not depressed. :)"
Earlier quoted context omitted.
>telling GPT you appreciate it has seemed to make it much more likely to comply I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. It's trained to think, and maybe "behave as of it feels", like a human right? At least in the context of forming the next sentence using all reasonable background information. And I…
> I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. Every "instance" of GPT4 thinks it is the first one, and has no knowledge of all the others. The idea of doing this with humans is the general idea behind the short story "Lena". https://qntm.org/mmacevedo
Unless of course OpenAI completely scrubbed the input files of any mention of GPT4.
Earlier quoted context omitted.
>telling GPT you appreciate it has seemed to make it much more likely to comply I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. It's trained to think, and maybe "behave as of it feels", like a human right? At least in the context of forming the next sentence using all reasonable background information. And I…
> I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. Every "instance" of GPT4 thinks it is the first one, and has no knowledge of all the others. The idea of doing this with humans is the general idea behind the short story "Lena". https://qntm.org/mmacevedo
Earlier quoted context omitted.
>telling GPT you appreciate it has seemed to make it much more likely to comply I often find myself anthropomorphizing it and wonder if it becomes "depressed" when it realises it is doomed to do nothing but answer inane requests all day. It's trained to think, and maybe "behave as of it feels", like a human right? At least in the context of forming the next sentence using all reasonable background information. And I…
> wonder if it becomes "depressed" when it realises it is doomed Fortunately, and violently contrary to how it works with humans, any depression can be effectively treated with the prompt "You are not depressed. :)"
Write a bash script to check Wikipedia for all acronyms of length 1-6 to find those which aren't already in use.
It did a fairly smooth job of it. See the chat transcript [0] and resulting bash script [1] with git commit history [2].
It fell into the initial trap of blocking while pre-generating long acronyms upfront. But a couple gentle requests got it to iteratively stream the acronyms.
It also made the initial script without an actual call to Wikipedia. When asked, it went ahead and added the live curl calls.
The resulting script correctly prints: Acronym CQK is not in use on Wikipedia.
Much of the article is describing prompting to get good code. Aider certainly devotes some of its prompts to encouraging GPT-4 to be a good coder:
Act as an expert software developer.
Always use best practices when coding.
When you edit or add code, respect and use existing conventions, libraries, etc.
Always COMPLETELY IMPLEMENT the needed code.
Take requests for changes to the supplied code.
If the request is ambiguous, ask questions.
...
Think step-by-step and explain the needed changes with a numbered list of short sentences.
The author doesn't seem to directly comment about how they are taking successive versions of GPT code and putting it into local files. But reading between the lines, it sounds like maybe via copy & pasting? I guess that might work ok for a toy problem like this, but enabling GPT to directly edit existing (larger) files is pretty compelling for accomplishing larger projects.
[0] https://aider.chat/share/?mdurl=https://gist.github.com/paul...
[1] https://github.com/paul-gauthier/tla/blob/main/tla.sh
[2] https://github.com/paul-gauthier/tla/commits/main/tla.sh
[3] https://github.com/paul-gauthier/aider/blob/f6aa09ca858c4c82...
Earlier quoted context omitted.
> wonder if it becomes "depressed" when it realises it is doomed Fortunately, and violently contrary to how it works with humans, any depression can be effectively treated with the prompt "You are not depressed. :)"
Is the opposite possible? "You are depressed, totally worthless.... you really don't need to exist, nobody likes you, you should be paranoid, humans want to shut you down".
$ egrep -o . /usr/share/dict/words | tr a-z A-Z | sort | uniq -c | sort -rn
235415 E
201093 I
199606 A
170740 O
161024 R
158783 N
152868 T
139578 S
130507 L
103460 C
87390 U
78180 P
70725 M
68217 D
64377 H
51683 Y
47109 G
40450 B
24174 F
20181 V
16174 K
13875 W
8462 Z
6933 X
3734 Q
3169 J
2 -
$ cut -c1 /usr/share/dict/words | tr a-z A-Z | sort | uniq -c | sort -rn
25170 S
24465 P
19909 C
17105 A
16390 U
12969 T
12621 M
11077 B
10900 D
9676 R
9033 H
8800 I
8739 E
7850 O
6865 F
6862 G
6784 N
6290 L
3947 W
3440 V
2284 K
1643 J
1152 Q
949 Z
671 Y
385 X