It isn't useless if it is being trained with a moderated dataset.
Are you also against the image search feature that already exists on Numista? That feature has saved me a lot of time trying to figure out what notes I have.
There is no need for you to use it, by all means have as much fun as you like trying to determine by manual means what coin or banknote you have. It is not a case of one or the other, it is a helpful tool.
If you think it is useless because of your experience with ChatGPT or Perplexity AI as used in the wild, then you don't understand the original poster's proposal.
I'll explain it like this:
I can upload a radiograph of a subtle wrist fracture where the patient is already in a plaster cast and I can ask a generic AI to tell me whether the patient has a fracture or not. As it stands, with an unmoderated or unclean reference dataset the AI will most likely miss the real fracture and call the plaster shadows on the radiograph fractures.
However…if that AI has been trained using actual reports of real cases where a radiologist has provided a report, it learns with clean data. The radiologist ignores the plaster cast and identifies the fracture. In time, so does the AI. But in this case it is being trained by an established expert.
In the case of Numista, the AI tool would be learning from entries which have already been moderated by catalogue referees. Here is one example where it could help me:
1. I physically check every note I get for UV activity at two different wavelengths and I also check for phosphorescence.
2. I make catalog modification requests or forum posts with these findings
These are all separate data points but they are moderated or at least verified to a degree, either by agreement or disagreement by other members here on Numista.
What I cannot automatically connect is associations between years, printers, certain appearances of the notes and the features I am looking for. For example it is not in the realms of outrageousness to look for certain features such as anti-Stokes fluorescence where the year of issue and printer are similar, or perhaps there are other design features that are similar such as infrared features.
AI could point a person in a certain direction to make an association or discovery that would have been labour intensive otherwise. What I am having to do is make spreadsheets with columns of features that certain notes have, looking for associations that can help me understand why I am seeing anomalies in some issues.
Just because something requires more time and effort, doesn't automatically make it the more honorable or desirable course of action.