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by jlund-molfese 18 days ago
You can also look at past posts by the same author (before LLM usage proliferated) if you’re curious.

The project is still very cool, but it’s a little less enjoyable to read when everything sounds the same. It would be just as annoying for people to manually write in a corporate/marketing style, because humanity is what makes the small web interesting.

https://blog.tymscar.com/posts/privategithubcicd/

2 comments

I’m glad I’ve started this blog before the AI wave so I can prove people I’m just weird at writing.

It grinds my gears how so many people just talk about my writing style instead of the content.

What's interesting about the older post is that all the sentences are long, compared to the current datacenter GPU post which contains lots of short sentences.

But yeah, probably feels sucky to have your style analyzed for AI writing. FWIW, the datacenter GPU post was great! I went to look at the ebay postings.

Thanks!

I did get feedback on all sorts of things over the years.

One of them was to do with sentence lengths.

I mean, if they're serious, put it through 10-20 "AI Detectors" that cover different models. (I've had to do that with samples of new 'textbooks' showing up on Amazon under various false names.)
> I’m glad I’ve started this blog before the AI wave so I can prove people I’m just weird at writing.

Your previous blog posts didn't trigger any LLM detector (go on - check for yourself).

Neither does this one. I replied in another thread. It comes out as 0% and the one from 2021 comes out as 8%. LLM detectors are all BS
GPTzero says 100% AI generated for specific paragraphs that I chose (such as `Multi-token prediction`). If you remove all the code listings, tables, etc and just paste the prose into these tools, it drops to 87% AI generated.

None of the 3x older blogs of yours that I tried went above 5% AI generated.

Maybe you're spending so much of time with the LLM that you are talking like it; in which case, take an old blog and a recent blog, give the prose from them both to you favourite LLM and ask them if the same author wrote both. I just did that on ChatGPT and on Gemini, and both found that it is extremely unlikely that the same author wrote both.

Look, if all the SOTA LLMs agree that your recent blogs sounds generated, you can't blame the reader, can you?

GPTzero is a joke.

It thinks this is AI: “I bought a datacenter GPU that doesn’t even have a normal PCIe connector, stuck it in my gaming PC with an adapter, and now I have 32GB of VRAM across two GPUs running a 27 billion parameter model at 32 tokens per second.”

There’s nothing AI about that. Not all SOTA LLMs agree, hell, none of them do. The same exact example I sent here gives me 0% in some, 10% in others, 100% in GPTzero.

> Not all SOTA LLMs agree, hell, none of them do.

The ones I checked all agree: your recent writing is not the same author as your writing from 3 years ago...

You can check this yourself if you don't believe; make of that, what you will.

This, setting aside the llm issue, it is dealing with hardware in ways that -- one would think - would be celebrated on HN of all places. But we focus on presentation.