263 karma · joined April 21, 2018
The baked in communication style of these models is so obnoxious it's impacting my work. The best way I can describe it is that everything is optimized to impress the user and make the agent sound more authoritative, but the way this is done is through deliberate obfuscation, inserting inappropriate and extremely dense jargon, and bizarre, stilted metaphors. It's like they've been trained to produce output that's hard to read.
Yeah, that's ChatGPT. And not a particularly high quality ChatGPT style sentence. They weren't just ideas, they were direct responses? Ok.
[1] https://ask.metafilter.com/116066/French-language-in-Infinit...
This difference is even more stark when it comes to driving assistants. Video compilations of Teslas with FSD behaving erratically and most importantly, unpredictably, are all over the place. Experienced Tesla drivers seem to have some limited ability to predict the weaknesses of the FSD package, but the issue is that the driving assistant is so unlike a human. I've seen multiple examples of people saying "well, humans cause car crashes too," but the key difference is that I have to sit behind the wheel and deal with the fact that my driving assistant may or may not suddenly swerve into oncoming traffic. The reasons for it doing so are likely obscure to me, and this is a real problem.
https://examine.com/articles/does-metabolism-vary-between-tw...
"...statisticians have pointed out serious analytical flaws, including the fact that the Tesla stats involve newer cars being driven on highways. The government’s general statistics include cars of all ages on highways, rural roads and neighborhood streets. In other words, the comparison is apples and oranges."
https://www.latimes.com/business/story/2022-12-27/tesla-stop...