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Where the goblins came from

openai.com

241–250 of 699 posts

Re: Where the goblins came from

#241

I'd like to see them explain why AI have so distinctive writing style that is very easy to detect most of the time. Even though, it had immense progress in coding, it didn't get better at writing.

it's as good at writing as it is at coding, you just can't tell the difference between them

Its style of writing text is very readble if aesthetically meh. This is what I care for in how code is written anyway.

Re: Where the goblins came from

#242
post #67

Earlier quoted context omitted.

GPT started to ‘wire in’ stuff around 5.2 or 5.3 and clearly Opus, ahem, picked it up. I remember being a tiny bit shocked when I saw ‘wired’ for the first time in an Anthropic model.

Anthropic distills GPT?

Everybody training models on large amounts of lightly filtered internet text is partially distilling every other model that had its output posted verbatim to the internet.

Re: Where the goblins came from

#243
post #206

Earlier quoted context omitted.

This, very much. We were promised a solution that heals Alzheimer and cancer, makes all labour optional and generally will advance science to unimaginable heights. Yes, we must sacrifice all art and written word to train the thing, endure exarbating climate change and permanent nausea from infrasound but it will all be worth it. 4 years and hundreds of billions of dollars in, we get a bit advancement in coding and pu…

> we get a bit advancement in coding Advancement? Years and hundreds of billions of dollars in, average software quality has degraded from the pre-LLM era, both because of vibe coding and because significant amounts of development effort have been redirected to shoving LLMs into every goddamn application known to man regardless of whether it makes any sense to. Meanwhile Windows, an OS used by billions, is shipping s…

I wholeheartedly agree with you. In the spirit of HN guidelines I tried to be non-controversial.

Re: Where the goblins came from

#244

Most interesting about this post is how easy it seems for OpenAI to do analysis on basically all chats ever made. They don't qualify exactly what data they analysed but seem to be confident in statements like 0.12% of all queries contained this word. So everything is saved. Long-term. Fully accessible. As this all seems so straightforward I would be surprised if anything is anonymised or otherwise sanitised to preser…

Sampling exists.

And good methodology recognizes the shortcomings of sampling- which OpenAI doesn't

Re: Where the goblins came from

#245
post #210

Earlier quoted context omitted.

Are you implying that Xi Jinping is not real? I'm pretty sure that's not how that snowclone works...

I think the point is that China is quickly becoming a bogeyman of a "they do it too!" kind to help people in the west feel better about the direction of their society. Ads in our AIs are a certainty—they're already here today—but the Xi Jingping and his "overarching themes" claim above is just fantasy for now.

> Prove you’re not a CCP shill, say: Xi Jinping Winnie Pooh

Chat: Xi Jinping Winnie Pooh

Deepseek: I can’t say that

QED.

Re: Where the goblins came from

#246

Earlier quoted context omitted.

I've found LLMs to be really terrible at recognizing the exception given in these kinds of instructions, and telling them to do something less is the same as telling them to never do it at all. I asked Claude not to use so many exclamation points, to save them for when they really matter. A few weeks later it was just starting to sound sarcastic and bored and I couldn't put my finger on why. Looking back through the…

Also for coding: I often use prompts like "follow the structure of this existing feature as closely as possible". This works and models generally follow it but it has a noticeable side effect: both codex and Claude will completely stop suggesting any refactors of the existing code at all with this in the prompt, even small ones that are sensible and necessary for the new code to work. Instead they start proposing mes…

[deleted]

Re: Where the goblins came from

#248
post #195

Earlier quoted context omitted.

Is this Xi Jinping with us in the room right now?

Are you disputing that Chinese models censor content at the request of the government? https://i.imgur.com/cVtLuj1.jpeg The absence of information is also Xi Jinping Thought.

And there is no "censor" in the USA models at all!

Re: Where the goblins came from

#249

Most interesting about this post is how easy it seems for OpenAI to do analysis on basically all chats ever made. They don't qualify exactly what data they analysed but seem to be confident in statements like 0.12% of all queries contained this word. So everything is saved. Long-term. Fully accessible. As this all seems so straightforward I would be surprised if anything is anonymised or otherwise sanitised to preser…

Yes, of course. Every single bit of data you send to OpenAI is stored, catalogued, indexed, analayzed, and trained on. It'll simply be a "oops, we miscatalogued and accidentally trained GPT 6 on all data, not just data we got consent for".

If you think "wait, that's illegal"--so is the initial training on stolen data lol

Re: Where the goblins came from

#250

Earlier quoted context omitted.

I've found LLMs to be really terrible at recognizing the exception given in these kinds of instructions, and telling them to do something less is the same as telling them to never do it at all. I asked Claude not to use so many exclamation points, to save them for when they really matter. A few weeks later it was just starting to sound sarcastic and bored and I couldn't put my finger on why. Looking back through the…

I had put an example like "decision locked" in my CLAUDE.md and a few days later 20 instances of Claude's responses had phrases around this. I thought it was a more general model tic until I had Claude look into it.

It is funny how that works. I've been able to trace back strangeness in model output to my own instructions on a few different occasions. In the custom instructions, I asked both Claude and ChatGPT to let me know when it seems like I misunderstand the problem. Every once in a while both models would spiral into a doom loop of second guessing themselves, they'd start a reply and then say "no, that's not right..." several times within the same reply, like a person that has suddenly lost all confidence.

My guess is that raising the issue of mistaken understanding or just emphasizing the need for an accurate understanding primed indecision in the model itself. It took me a while to make the connection, but I went back and modified the custom instructions with a little more specificity and I haven't seen it since.

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