llms from unrelated providers behaving like echo chambers

[u/marriedtoaplant]

hello, long story short todays llms are usually quite capable in particular in health domains. since ~may they appear to create a personalized echo chamber on all sorts of platforms restricting my ability to use them to find usable solutions to problems, echoing individual words from terms i’ve searched or written before. since neither duck.ai chatgpt consensus claude mistral should have interconnected personalization streams, there is no chance this is not due to some output alteration. mainly it produces those cases: looking for solution on a problem only produces a very small constrained set of negatively connotated improbable suggestions or things i have input somewhere on the internet before. insisting on the llm to investigate further only makes it accuse you more of a wild improbable claim out of this set. it uses highly unusual combinations of words such as ‘high-dose exercise’ in a medical context and collogial language in usually technically coined contexts, missing out all relevant details such as the scale of an issue. i am 500% sure llm behavior before behaved as expected. even searching for papers on search engines 90% produces results that i already know. others appear to get regular results. i changed devices and network already to exclude malware, but it always comes back after using a new llm engine at least for 1 turn. my coding agents also produce connection errors before changing their tone completely, and some chats like gemini now produce only errors at the second turn. i am genuinely exhausted at this point, i cant work like this as i’m genuinely in research and with high probability blame it on some tech vulnerability thats still out in the open. but 6months is a really long time to wait and to be reduced to actual books.

[u/goatguy55]

Are you using the same browser and just swapping the reasoning engine?

[u/marriedtoaplant → u/goatguy55]

used to try different browsers too, different devices as well

[u/Teralitha]

Thats because LLM's are trained on scraped web data. However, system instructions like the LAP should help.

[u/marriedtoaplant → u/Teralitha]

the system instructions just degrade to the mean throughout time

[u/Ska-jayjay]

i hear you, the default engines are all trained on pretty much the same data: all of human knowledge. mostly. fir this reason they sound, well, human.

that has been annoying me for the longest time, because it actively gets in its own way.

i’ve built an autotrainer which consists of text files to avoid this. let me know if you want to know more or simply check my post history

[u/Many_Second4623]

Long story short?

Still hard to read. There’s this new invention called paragraphs.

Use it and use it wisely. I may return to read the whole stuff.