[HN Gopher] I wrote a meta mode for ChatGPT
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I wrote a meta mode for ChatGPT
Author : airesearcher
Score : 57 points
Date : 2023-12-10 20:06 UTC (2 hours ago)
(HTM) web link (www.novaspivack.com)
(TXT) w3m dump (www.novaspivack.com)
| airesearcher wrote:
| I wrote a custom instruction for ChatGPT Pro that radically
| improves productivity inside ChatGPT. Add it to your custom
| instructions and enjoy!
| philipswood wrote:
| Links to a WordPress login page.
|
| You mean probably meant:
|
| https://www.novaspivack.com/technology/nova-mode-the-ultimat...
| airesearcher wrote:
| Ah yes good point
| Tiberium wrote:
| Can you share how it radically improves productivity? From a
| quick glance it seems to be not very practical, at least for
| me.
| airesearcher wrote:
| Main URL has been corrected thanks to the moderators.
| dr_dshiv wrote:
| It's neat but I would love to see some more examples of why you
| think it is good. I tend to be skeptical of adding anything to
| the context window that isn't closely aligned with my goals. My
| biggest issue is usually getting chatGPT to get out of the
| "blurry center" (where it just blathers pablum) to a "productive
| spike" where it can genuinely do specific work.
| sp332 wrote:
| I agree, at least add some sample outputs so we can see what
| we're getting into.
| airesearcher wrote:
| See my post and scroll down. Several examples there.
|
| You can also add the instructions and type //? For the
| manual.
|
| Or type //$ for a list of 40 examples
| airesearcher wrote:
| I will make a GPT version... ChatGPT has to approve it for
| some reason....
|
| ok it's working ... had to remove "ChatGPT" from name of my
| GPT for it to work...
| airesearcher wrote:
| https://chat.openai.com/g/g-tcXXGxXmA-nova-mode-ai-chat-
| auth...
|
| GPT Version, with more features
| simonw wrote:
| I suggest also making this available as a GPT. I don't like
| pasting random stuff into my custom instructions, because that
| will affect all of my future usage. I'd much rather try out a GPT
| where the effects of those instructions stay limited to that one
| place.
| airesearcher wrote:
| https://chat.openai.com/share/3ebde0ee-5db6-44c3-a836-2b4ee3...
| airesearcher wrote:
| Waiting for ChatGPT to approve this link... not sure it is
| public yet
| airesearcher wrote:
| ok it's working ... had to remove "ChatGPT" from name of my
| GPT for it to work...
| bongodongobob wrote:
| I don't see why this is good. You're clogging your context with a
| bunch of unnecessary clutter. Just tell it what you want it to
| do, no? Like why am I spending 1500 characters per message on the
| hello world loop example? I get the same output from just asking
| it to do that.
|
| The message indexing is kind of interesting, but again, it's a
| huge waste. Just write a wrapper rather than wasting all those
| tokens and muddying your context.
|
| I think in the end this is just eye candy and is going to get you
| worse results. Granted, I haven't tested thoroughly, but neither
| has OP.
| airesearcher wrote:
| It's useful because it allows you to refer to messages in the
| chat by message number, and to define functions to use on them.
| You can do a lot of really powerful things with it.
| airesearcher wrote:
| Here it is a GPT if you want to try it that way:
|
| https://chat.openai.com/share/3ebde0ee-5db6-44c3-a836-2b4ee3...
| airesearcher wrote:
| I will make a GPT version... ChatGPT has to approve it for some
| reason....
| airesearcher wrote:
| It works now
| sitkack wrote:
| Neat. I did something similar and created a stack based NLP
| language, I used it, mainly for synthesizing prompts for image
| generation.
| airesearcher wrote:
| Type //? for the manual
| EMM_386 wrote:
| I'm not much interested in the prompt itself, but I am
| continually amazed that ChatGPT is able to make sense of prompts
| like this.
|
| That is pretty far from "language", and I can't see how any of
| that has been seen in its "training data".
|
| I mean ... you can add something like "//! = loop mode = do loop:
| (ask USR for instruct (string, num); iterate string num times);
| Nesting ok." and it can not only parse that (or "tokenize" it),
| then somehow find relationships in its internal high-dimensional
| vector space that are sufficient to ... pseudo-"execute" it?
|
| I don't know. Obviously, not my area of expertise, although I can
| say I've spent a lot of time _trying_ to understand even the
| basics. But then I 'll see an example like this, and be reminded
| of how little I understand any of it.
| jadbox wrote:
| I wonder how much "gpt" within openai understands and how much
| syntax is conditionally parsed and run though state machines
| prior to the prompt sent to transformers.
| huijzer wrote:
| I did my MSc thesis on ML in 2019 and so I'm definitely no
| expert but one mental model worked well for me.
|
| Machine learning models learn thousands of small functions
| which map input to output. A higher level "function" will
| choose which function is used to map the input to the output.
| So that's what amazed me in about ChatGPT: think about all the
| little things it must understand to do what it does. For
| example, the model learned how to interpret if clauses and
| other language nuances, how variable definitions should be
| used, what words are in other languages.
| AndrewKemendo wrote:
| If you think about it relative to the level of specific
| interaction you're doing with a computer, then it makes sense
|
| So, for example, if I'm talking to a compiler, I have to talk
| to it in effectively perfect sequential structure
|
| If I'm talking to a web server, then it's with a scripting
| language in order to communicate something from another
| programming language that's interacting it lower level
|
| At the other extreme if I'm talking to a kernel, then I really
| only have a couple of things I can say because its language is
| memory blocks
|
| In this case, because I'm talking to what's effectively an
| interpreter, then the default language looks like a scripting
| language rather than a programming language or natural language
|
| Which in effect is what's happening? These are basically
| scripts people are running against the structure of the GPT
| sequence interpretation - so it's a weird mix
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