this post was submitted on 23 Nov 2025
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This reads like OpenAI's fanfic on what happened, retconning decisions they didn't make, things they didn't (couldn't!) do, and thought that didn't occur to them. All indicating that the possibility to be infinitely better is not only possible, but is right there for their taking.
Citation needed.
This reality does not exist: Claude is trying to lick my ass clean every time I ask it a simple question, and while sycophantic language can be toned down, the behavior of coming up with a believable positive answer for whatever the user has, is the foundational core of LLMs.
As soon as they found experts who were willing to say something else than "don't make a chatbot". They now have a sycophantically motivated system with an ever growing list of sticky notes on its desk: "if sleep deprivation then alarm", "if suicide then alarm", "if ending life then alarm", "if stop living then alarm", hoping to have enough to catch the most obvious attempts.
The study was basically rigged: it used 18 known and identified crises chat logs from ChatGPT - meaning the set of stuff OpenAI just had hard coded "plz alarm" for, and thousands of "simulated mental health crises" generated by FUCKING LLMs meaning they only test if ChatGPT can identify mental health problems in texts where it had written its own understanding of what meantal health crisis looked like. For fucks sake of course it did perfectly in guessing its own card.
TLDR; bullshit damage control
There are things chatbots are useful for. Like writing short scripts to automate some tasks. I had mostly ChatGPT write a Haskell script to enable the tproxy globally, write to a .env file for the other services to know the IP of the proxy and to restart on change
I also wrote a script to change the IP of my proxy and update the DNS record. The tproxy software uses the authoritative DNS server to initially look it up to avoid having to wait for the TTL to expire
Doing this by hand was annoying and error-prone
Sir, this is a Wendy's