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Thomas Ptacek x.com
There's no reason you can't use an LLM to help you write. There's only one rule: you can't use a single word the LLM selects for you, even if it's better than your own; users detect LLM words in the parts per trillion. Here's what I've been using:
The subject this post names, from the same vocabulary the directory files beliefs under, and the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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17 September
16 September
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Their words
you can't use a single word the LLM selects for you, even if it's better than your own; users detect LLM words in the parts per trillion.
1 September
15 August
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korrents.com
AI text detectors and the LLMs they try to catch are locked in a permanent cat-and-mouse arms race.Their words
AI checkers are essentially a cat-and-mouse game. AI checkers may learn to detect a certain pattern that is indicative of AI-generated content. Then, the next LLM may incidentally or deliberately not exhibit that pattern and avoid detection. The AI checker then has to be updated to detect said LLM, and so forth.
Building an AI Text Detector From Scratchmagazine.sebastianraschka.com
11 August
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Their words
One concern you might have is there are like large categories of reward hacks which humans can't detect well and which we consistently fail to detect and which consistently get reinforced and then this category is sufficient to cause the most natural behavior for the AI to learn to be like cheat when the humans can't find out
1 August
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Their words
In other words, the absence of calcium is not the same as the absence of disease—it may simply mean the disease hasn’t reached the stage CAC is designed to detect.
9 July
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That's hard by the way because we can detect that right now, but as these models get better, we might lose the ability to detect that.
7 June
8 May
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And so one possible explanation for that is just that there's only a handful of generations maybe five over which the natural selection would operate. And so maybe if the selection was 2% a generation you would still only see maybe a 10% compounded effect and there's just not enough time to detect it. But the Bronze Age is not 300 years, it's 3,000 years. It's the power of compound interest and you have enough time to begin to see a strong effect.
24 April
12 February
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Their words
So, so the latest generation of models has a lot of post-training to detect those approaches, and it's not as simple as ignore all previous instructions and do this and this. That was years ago. You have to work much harder to do that now. Still possible.
25 January
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korrents.com
Complex systems do not have one root cause, so root-cause analysis is the wrong thing to be doing.Their words
Another as a sidebar, I hate the idea of a root cause. Complex systems do not have one root cause. They often have many interlocking things that could be done to detect earlier or to change it or to reduce or and not one root cause.
1 October 2025
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