Earlier quoted context omitted.
More interesting, IMO, is the general trend that started long before LLMs. The fact that "dump them" is the standard answer to any relationship question is a meme by now. The LLMs appear to be doing exactly what one would expect them to be doing based on their training corpus.
"There is more than one fish in the sea" has been relationship advice for centuries. It might be about being dumped, but I've also thought it useful for considering dumping somebody too.
AI overly affirms users asking for personal advice
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Re: AI overly affirms users asking for personal advice
#32Maybe it's not so sensible to offload the responsibility of clear thinking to AI companies? How is a chatbot supposed to determine when a user fools even themselves about what they have experienced? What 'tough love' can be given to one who, having been so unreasonable throughout their lives - as to always invite scorn and retort from all humans alike - is happy to interpret engagement at all as a sign of approval?
Most humans working in tech lack this particular attribute, let alone tools driven by token-similarity (and not actual 'thinking').
Re: AI overly affirms users asking for personal advice
#33Earlier quoted context omitted.
More interesting, IMO, is the general trend that started long before LLMs. The fact that "dump them" is the standard answer to any relationship question is a meme by now. The LLMs appear to be doing exactly what one would expect them to be doing based on their training corpus.
This is the correct take. The advice preceded the LLM boom. They were trained on the 'dump them' advice and proceeded to reinforce the take. So why did the relationship advice change dramatically? I speculate attribution to the disinformation campaigns during this time. They were and still are grossly underestimated.
There is something more interesting to consider however; the graph starts to go up in 2013, less than 6 months after the release of Tinder.
Re: AI overly affirms users asking for personal advice
#34Re: AI overly affirms users asking for personal advice
#35Marc Andereseen has talked about the downside of RLHF: it's a specific group of liberal low income people in California who did the rating, so AI has been leaning their culture. I think OpenAI tried to diversify at least the location of the raters somewhat, but it's hard to diversify on every level.
Re: AI overly affirms users asking for personal advice
#36Maybe it's not so sensible to offload the responsibility of clear thinking to AI companies? How is a chatbot supposed to determine when a user fools even themselves about what they have experienced? What 'tough love' can be given to one who, having been so unreasonable throughout their lives - as to always invite scorn and retort from all humans alike - is happy to interpret engagement at all as a sign of approval?
Markets don't optimize for what is sensible, they optimize for what is profitable.
Re: AI overly affirms users asking for personal advice
#37Marc Andereseen has talked about the downside of RLHF: it's a specific group of liberal low income people in California who did the rating, so AI has been leaning their culture. I think OpenAI tried to diversify at least the location of the raters somewhat, but it's hard to diversify on every level.
What do low income people have to do with it, when AI companies and research is borne out of Silicon Valley culture of rich, liberal Californians? I'm still waiting for models based on the curt and abrasive stereotype of Eastern European programmers, as contrast to the sickeningly cheerful AIs we have today that couldn't sound more West Coast if they tried.
Re: AI overly affirms users asking for personal advice
#38I'm interested in a loop of ["criticize this code harshly" -> "now implement those changes" -> open new chat, repeat]: If we could graph objective code quality versus iterations, what would that graph look like? I tried it out a couple of times but ran out of Claude usage.
Also, how those results would look like depending on how complete of a set of specs you give it.
Re: AI overly affirms users asking for personal advice
#39Marc Andereseen has talked about the downside of RLHF: it's a specific group of liberal low income people in California who did the rating, so AI has been leaning their culture. I think OpenAI tried to diversify at least the location of the raters somewhat, but it's hard to diversify on every level.
Re: AI overly affirms users asking for personal advice
#40Marc Andereseen has talked about the downside of RLHF: it's a specific group of liberal low income people in California who did the rating, so AI has been leaning their culture. I think OpenAI tried to diversify at least the location of the raters somewhat, but it's hard to diversify on every level.
huh? this is completely inaccurate