Sycophancy in GPT-4o
221–230 of 467 posts
Re: Sycophancy in GPT-4o
#222Tragically, ChatGPT might be the only "one" who sycophants the user. From students to workforce, who is getting compliments and encouragement that they are doing well. In a not so far future dystopia, we might have kids who remember that the only kind and encourage soul in their childhood was something without a soul.
Re: Sycophancy in GPT-4o
#223As an engineer, I need AIs to tell me when something is wrong or outright stupid. I'm not seeking validation, I want solutions that work. 4o was unusable because of this, very glad to see OpenAI walk back on it and recognise their mistake. Hopefully they learned from this and won't repeat the same errors, especially considering the devastating effects of unleashing THE yes-man on people who do not have the mental cap…
Frankly, I think it's genuinely dangerous.
Re: Sycophancy in GPT-4o
#224Earlier quoted context omitted.
Only AI enthusiasts know about Grok, and only some dedicated subset of fans are advocating for it. Meanwhile even my 97 year old grandfather heard about ChatGPT.
This. Only on HN does ChatGPT somehow fear losing customers to Grok. Until Grok works out how to market to my mother, or at least make my mother aware that it exists, taking ChatGPT customers ain't happening.
They might call it open discussion and startup style rapid iteration approach, but they aren't getting it. Their interpretation of it is just collective hallucination under assumption that adults come to change diapers.
Re: Sycophancy in GPT-4o
#225Earlier quoted context omitted.
For us habitual users of em-dashes, it is saddening to have to think twice about using them lest someone think we are using an LLM to write…
Most keyboards don't have an em-dash key, so what do you expect?
Re: Sycophancy in GPT-4o
#226Earlier quoted context omitted.
One of the biggest tells.
For us habitual users of em-dashes, it is saddening to have to think twice about using them lest someone think we are using an LLM to write…
The en-dash and the em-dash are interchangeable in Finnish. The shorter form has more "inoffensive" look-and-feel and maybe that's why it's used more often here.
Now that I think of it, I don't seem to remember the alt code of the em-dash...
Re: Sycophancy in GPT-4o
#227Earlier quoted context omitted.
I don't think they were imitating grok, they were aiming to improve retention but it backfired and ended up being too on-the-nose (if they had a choice they wouldn't wanted it to be this obvious). Grok has it's own "default voice" which I sort of dislike, it tries too hard to seem "hip" for lack of a better word.
> it tries too hard to seem "hip" for lack of a better word. Reminds me of someone.
Re: Sycophancy in GPT-4o
#228Earlier quoted context omitted.
Only AI enthusiasts know about Grok, and only some dedicated subset of fans are advocating for it. Meanwhile even my 97 year old grandfather heard about ChatGPT.
First mover advantage. This won't change. Same as Xerox vs photocopy. I use Grok myself but talk about ChatGPT is my blog articles when I write something related to LLM.
Re: Sycophancy in GPT-4o
#229It's worth noting that one of the fixes OpenAI employed to get ChatGPT to stop being sycophantic is to simply to edit the system prompt to include the phrase "avoid ungrounded or sycophantic flattery": https://simonwillison.net/2025/Apr/29/chatgpt-sycophancy-pro... I personally never use the ChatGPT webapp or any other chatbot webapps — instead using the APIs directly — because being able to control the system prompt…
Re: Sycophancy in GPT-4o
#230In my experience, LLMs have always had a tendency towards sycophancy - it seems to be a fundamental weakness of training on human preference. This recent release just hit a breaking point where popular perception started taking note of just how bad it had become. My concern is that misalignment like this (or intentional mal-alignment) is inevitably going to happen again, and it might be more harmful and more subtle n…
> In my experience, LLMs have always had a tendency towards sycophancy The very early ones (maybe GPT 3.0?) sure didn't. You'd show them they were wrong, and they'd say something that implied that OK maybe you were right, but they weren't so sure; or that their original mistake was your fault somehow.
Like the GP said, I think this is fundamentally a problem of training on human preference feedback. You end up with a model that produces things that cater to human preferences, which (necessarily?) includes the degenerate case of sycophancy.