| ▲ | Aurornis 5 hours ago | |||||||||||||||||||||||||||||||
Interesting methodology. The results for Pangram are surprisingly good. These tools are definitely not 100% perfect, which is the primary complaint used to dismiss them. However the error rate is also getting impressively low. In most cases I see socially and online, there is a high suspicion that the content is AI generated before someone thinks to submit it to Pangram. It’s used on-demand as a tool to confirm suspicions. I have seen several cases where Pangram had some false negatives where the content was judged to be likely human written but the author later admitted it was written by an LLM. Pangram is very interesting in the context of Substack because the platform was a target for lazy AI newsletters. People realized they could start 10 (or maybe many more) newsletters and spend only a few minutes getting ChatGPT to write posts for them. Starting an AI generated substack and trying to get paid subscribers for it was becoming one of the popular ways to use AI to try to get a little cash. Having a tool that makes it a little bit harder, at least until the LLMs get good enough to evade it, was important for the platform. | ||||||||||||||||||||||||||||||||
| ▲ | vidarh 5 hours ago | parent | next [-] | |||||||||||||||||||||||||||||||
I think outside of a few niche uses, e.g. schools/universities, services like Pangram will struggle. Currently people care because so much of AI output is still poor quality. But given I personally know of someone with published AI-generated works where the reviews are gushing and positive across the board, I doubt people will care whether works are AI generated for very long vs whether the text is good. A way of certifying a work as above a certain literary quality would likely have far more longevity, as I doubt the market of people who care whether a given work is AI or not irrespective of quality will be particularly large. | ||||||||||||||||||||||||||||||||
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| ▲ | NoahZuniga 5 hours ago | parent | prev [-] | |||||||||||||||||||||||||||||||
> I have seen several cases where Pangram had some false negatives Yep, Pangram says they think false positives are way worse than false negatives, so if their AI isn't sure enough they prefer a "not ai" output to an "is ai" output. | ||||||||||||||||||||||||||||||||