You are talking about false negatives, but this thread started with a discussion around the potential for false positives causing writers anxiety
> Even if 2/10000 is true that’s nowhere near accurate enough to make aggressive accusations that create anxiety at levels people need to medicate with potentially fatal consequences.
False positives and false negatives are different problems that have different impacts.
Does your single example prove that Pangram doesn't work, or that it doesn't work on short snippets of text? Try to get a detection error on a longer run of text. I'd be curious to see the results, particularly if you can get a false positive.
Maybe, but we should force them to make that argument after we demonstrate age verification doesn't require identifying ourselves to every website. It would reveal they aren't seeking pragmatic solutions.
Are there hollistic analysis? I generate income with my labor, but I also save in retirement and investment accounts. On analysis like this that we typically see, are these two things competing? Are we really just seeing a rise in retirement savings?
Presumably the people paying the author for translation services are aware of AI, but for whatever reason are choosing a humans services instead. IMO it would be a form fraud to heavily rely on AI and not disclose that to the customer.
My team has been using AI to add code, but also to aggressively remove old deprecated code. "Is anyone still using this? How does this get called" is easier to answer when you can toss your FE, BE, and entire codebase at an agent and let it create a map of your software project. IDEs can do this in a single language to some degree usually in a single project, but RPC, REST, etc... break some of these tools in a lot of IDEs.