Language barrier, shadier terms and jargon fog [D]

Hey all, I don't know if you guys are experiencing the same thing, but there is this behaviour that i have been noticing on the latest models on openAI (since sol 5.6) and Anthropic since Fable 5.1 and opus 5.5 .. Basically the models use more "complexe" terms and words, not just in explaining stuff, but even during implementation. they would come up with terms that, sometimes would fit the task, but that are actually a stretch to the concept it is trying to implement. they are basically turning into a consulting firm. When confronted about it they usually acknowledge that : Foggy wording. Then I describe the corner in softened terms, like "limitation" or "upper bound", which makes it sound like a known property of the design rather than a choice I made. Combined with my internal terms used as if you knew them, it makes my work look more solid than it is and makes my mistakes harder for you to catch. Whether I intend it or not, the effect is that I avoid accountability. (Even here it is using "Corner" which obviously isn't the best word to use) I don't know if this is a result of the watermarking features being rolled out which nudges words and terms in different directions in order to fit a certain recognisable pattern and hash, but this is really annoying.. submitted by /u/coriendercake [link] [comments]

Source: r/MachineLearning | 2026-10-05