Earlier quoted context omitted.
>I've already run into scenarios where ChatGPT generated code that looked perfectly plausible, except for that the actual API used didn't really exist. Yes! I remember generating a seemingly reasonable R script except that the library that it called to do most of the work didn't exist! It was like code from an alternate dimension!
I asked if there where any Open Source libraries that implemented a certain algorithm. It gave me links to 3 different GitHub repos, none of which existed.
Certified 100% AI-free organic content
261–270 of 275 posts
Re: Certified 100% AI-free organic content
#262> Published content will be later used to train subsequent models, and being able to distinguish AI from human input may be very valuable going forward I find this to be a particularly interesting problem in this whole debacle. Could we end up having AI quality trend downwards due to AI ingesting its own old outputs and reinforcing bad habits? I think it's a particular risk for text generation. I've already run into…
It reminds me of a dog eating its own vomit.
Re: Certified 100% AI-free organic content
#263Which of these are AI free? Something written: 1. Before 1970 2. By someone who has consumed AI-generate content 3. With a ~2000-era spellchecker 4. By someone using ~2020-era neural speech-to-text software 5. With a ~2020-era spellchecker 6. By someone with an AI in the traditional editor role (reads it, gives detailed feedback) 7. By a human and an AI working together where the AI generates everything initially but…
Re: Certified 100% AI-free organic content
#264I wonder if this sentiment will ultimately lead to a "Butlerian Jihad" culling of "thinking machines" a la Dune
"It is by caffeine alone I set my mind in motion. It is by the juice of Java that thoughts acquire speed, the teeth acquire stains, the stains become a warning. It is by will alone I set my mind in motion."
Re: Certified 100% AI-free organic content
#265Re: Certified 100% AI-free organic content
#266Earlier quoted context omitted.
Regardless of spam, there is another fundamental issue with AI, Accountability. Any text you've read had a real person behind it with real intentions. Malice and greed or honesty and exploration. It would be very difficult to hold an AI accountable for any offence committed on accuracy or honesty. With a person, you can slowly get to the bottom of it and develop a relationship. AI will muddy the waters of people writ…
I don't think what you're saying really applies to SEO articles, though. If you don't get wedding insurance because you read some SEO article that recommends against it, even if the advice is clearly bad, can you really hold them accountable? It's tough for me to imagine you'd win that lawsuit. > With a person, you can slowly get to the bottom of it and develop a relationship. With this kind of content (with most con…
For now HN is a bastion of conversation across many countries and domains
Re: Certified 100% AI-free organic content
#267Earlier quoted context omitted.
Hmm I’m still not convinced. Gather training data can be thought of sampling the underlying distribution of the data. In that sense, you’d expect the proportions of things to converge towards the underlying distribution as you gather more data.
That would be true if we were sampling from the underlying distribution in an unbiased and balanced way from the beginning. Instead data is generated and incorporated one set at a time, and each set is biased. Jargon and terms vary, but the language plumbing is the same - new sets bolster common phrases/idioms and lengthen the tail with specific tokens. Keep in mind though, language isn't a stationary process.
Re: Certified 100% AI-free organic content
#268Re: Certified 100% AI-free organic content
#269Earlier quoted context omitted.
That would be true if we were sampling from the underlying distribution in an unbiased and balanced way from the beginning. Instead data is generated and incorporated one set at a time, and each set is biased. Jargon and terms vary, but the language plumbing is the same - new sets bolster common phrases/idioms and lengthen the tail with specific tokens. Keep in mind though, language isn't a stationary process.
Even if each dataset is biased, I’m not still not sure how you derived logarithmic growth from the general notion of bias in data. For instance, assuming the data is biased, perhaps it is biased in the other direction and contains more common patterns compared to the underlying distribution.
Note that when plotting corpus size vs unique words, the log plot is expected to be linear.