It was always funny how easy it was to spot the people using a Studio Ghibli style generated avatar for their Discord or Slack profile, just from that yellow tinging. A simple LUT or tone-mapping adjustment in Krita/Photoshop/etc. would have dramatically reduced it.

The worst was you could tell when someone had kept feeding the same image back into chatgpt to make incremental edits in a loop. The yellow filter would seemingly stack until the final result was absolutely drenched in that sickly yellow pallor, made any photorealistic humans look like they were all suffering from advanced stages of jaundice.

ChatGPT has a whole host of weird words that it uses about coding - anything changed is a “pass” done over the code, it loves talking about “chrome” in the UI, it’s always saying “I’m going to do X, not [something stupid that nobody would ever think of doing]”

All GPTisms are like that. In moderation there's nothing wrong with any of them. But you start noticing them because a lot of people use these things, and c/p the responses verbatim (or now use claws, I guess). So they stand out.

I don't think it's training data overrepresentation, at least not alone. RLHF and more broadly "alignment" is probably more impactful here. Likely combined with the fact that most people prompt them very briefly, so the models "default" to whatever it was most straight-forward to get a good score.

I've heard plenty of "the system still had some gremlins, but we decided to launch anyway", but not from tens of thousands of people at the same time. That's "the catch", IMO.

>with the word "seam" as it pertains to coding

I thought this was an established term when it comes to working with codebases comprised of multiple interacting parts.

https://softwareengineering.stackexchange.com/questions/1325...

> The obsession with the word "seam" as it pertains to coding

I quite liked this term when it started using it. And I appreciate the consistent way it talks about coding work even when working on radically different stacks and codebases

The one phrase that irks me as overly dramatic and both GPT and Claude use it a lot is "__ is the real smoking gun!"

I'm a non-native English speaker, so maybe it's a really common idiom to use when debugging?

i just want to know where emdash came from, as it is quite rare to see it on the public internet, so it must have been synthetically added to the dataset.

Claude, at least 4.5, not checked recently, has/had an obsession with the number 47 (or numbers containing 47). Ask it to pick a random time or number, or write prose containing numbers, and the bias was crazy.

Also "something shifted" or "cracked".

One I noticed with gemini, especially 3 flash: "this is the classic _____".

"is the real" is such a strong Claude tell, whenever I encounter it, it makes me question what i'm reading.

Another I've noticed more recently is a slight obsession over refering to "Framing".

I had the feeling they didn't really answer the questions, that is why the goblins appeared. They simply "retired the “Nerdy” personality" because they couldn't fix it and went on.

The number of things that Claude has told me are 'load-bearing' or 'belt-and-suspenders' is... very load-bearing

I thought the “why it matters” headline was a funny reference to ChatGPT phraseology

One I saw recently was "wires" and "wired" from opus.

It was using it like every 3rd sentence and I was like, yeah I have seen people say wired like this but not really for how it was using it in every sentence.

Seams, spirals, codexes, recursion, glyphs, resonance, the list goes on and on.

Whenever Claude finishes some work it almost always says “Clean.” before finishing its closing remarks. It’s at the point where I repeat it out loud along with Claude to highlight the absurdity of the repetition.

"shape" too, at least with gpt5.5, is coming up constantly.

and "quietly"!

“I’ve got the shape of it now”