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Ask HN: What do you dislike about ChatGPT and what needs improving?

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101–110 of 129 posts

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#101
post #13

About the Webapp; better search and filter on previous conversations. Filters on model type. Better errors when context is too big. Forking conversations would be nice. Better export options. Copy whole convo (not just response or reply). On the LLM: It's too positive. I don't always want it to follow my ideas and I don't want to hear how much my feedback is appreciated. Act like a machine. Also the safety controls a…

This is great! I hear you on the overly positive responses. You mention "act like a machine", but is there perhaps a desire/need for a more human-feeling interface?

If I talk to a business relation or friend, they give me an answer with a few words or a few sentences. Asking a question to an LLM gives me paragraphs. I am not sure if a different interface is going to change that.

I use LLMs now by asking questions, copy/pasting stuff around. A human-feeling in terface sounds more like TTS and I don't think that is human for me.

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#102
post #15

#1 problem is how sycophantic they are. I in fact want the exact opposite sort of interaction, where they push back against my ideas and actively try to correct and improve my thinking. Too often I am misled into giant waste of time because they have this need to please coded in to their default response structure. You can say things like "you are a robot, you have no emotions, don't try to act human", but the output…

Thank you for your feedback!

Zyruh, your individual comments & submissions are friendly, appreciative, and inquisitive... but they're a little uncanny when viewed as a whole. Are you a real person?

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#104
I am working on EBNF to semantic action conversion, notably nftables’ Bison parser in EBNF into Vimscript ‘syntax’ highlighting: full-blown deterministic semantic action pathways LL(1) syntax highlighting here (83% done, extreme alpha stage https://github.com/egberts/vim-syntax-nftables )

ChatGPT got the basic terminology such as Vimscript’s terminology like group name, regex, match, region, and maintaining top-level, first encounter sorted list of ‘contains=‘ group names correctly from largest static pattern down to most wildest regex patterns sorted correctly.

Also got S-notation of operators in correct nested order as well.

AND got Bison”s semantic action (state transition), lexical token …. Cna make EBNF from Bison (although Bison does it better).

But it fails often in form of brevity of which an expert (like me) would prod ChatGPT occasionally of omissions.

Makes assumptions of some keywords having invalid value ranges, invalid syntax arrangement, and provides incorrect terminators.

So, I considered ChatGPT to be more of a intermediate editor’s README that requires occassional consult with EBNF notations and Vimscript man page, and more often Bison’s parser source (parser_bison.y) file to be final arbitrator.

Does it learn? Constant ‘nft’ command outputs set ChatGPT straight. But there are slippage when starting a new ChatGPT session which leads me to believe that it won’t learn for others (as well as me).

EDIT: say “no glazing” cuts down on filler words, nicely.

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#106

Earlier quoted context omitted.

With Claude I often say “no glazing” and have told it to take the persona of Paul Bettany’s character in Margin Call, a nice enough but blunt/unimpressed senior colleague who doesn’t beat around the bush. Works pretty well.

How... does it know what this persona is like? I suppose somewhere it's read (or, "gathered input") about this character..

Like with anything LLM. It doesn't "know" anything.

It simply compliess without knowing who you are talking about. And you uphold the illusion by not questioning it.

All it does is produce deterministic output based on it's training data.

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#107

#1 problem is how sycophantic they are. I in fact want the exact opposite sort of interaction, where they push back against my ideas and actively try to correct and improve my thinking. Too often I am misled into giant waste of time because they have this need to please coded in to their default response structure. You can say things like "you are a robot, you have no emotions, don't try to act human", but the output…

Yes, the LLMs need to be objective but in situations where its a subjective push back, the LLM would then need to take on a personality of its own.

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#108

#1 problem is how sycophantic they are. I in fact want the exact opposite sort of interaction, where they push back against my ideas and actively try to correct and improve my thinking. Too often I am misled into giant waste of time because they have this need to please coded in to their default response structure. You can say things like "you are a robot, you have no emotions, don't try to act human", but the output…

I have no glazing built into my custom instructions, but it still does it. It used to be a lot better before glazegate. Never did quite seem to recover. I don't mind us having fun of course, but it needs to pick up on emotional queues a lot better and know when to be serious.

I think we'll get there in time.

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#109
post #15

Earlier quoted context omitted.

Thank you for your feedback!

Zyruh, your individual comments & submissions are friendly, appreciative, and inquisitive... but they're a little uncanny when viewed as a whole. Are you a real person?

Yes, I'm very much human...LoL.

Re: Ask HN: What do you dislike about ChatGPT and what needs improving?

#110

I've most disliked made-up, completely incorrect answers easily proven to be so, followed by GPT-grovelling when contradicted with the facts, promises to 'learn' and 'I'll strive to do better'. Time after time over months, the same dodging and weaseling. A simple 'I don't know, I haven't got access to the answer' would be a great start. People who don't know better are going to swallow those crap answers. For this we…

LLMs need regular transparency - fact checking so the user can verify an validate accuracy.
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