I was about to say, you could do serviceable OCR on a 486, which illustrates just how little processing power is needed for conventional approaches compared to this hallucinating AI nonsense.
OCR existed long before the 486. AFAIK it was already used in the 70’s or 80’s to scan mail and presort them based on the postcode. I remember that postcards had light orange boxes (presumably because this color was invisible to B/W scanners?) with dots inside where you where supposed to write the postcode numbers in.
Doing OCR in a very specific format, in a small specific area, using a set of only 9 characters, and having a list of all possible results, is not really the same problem at all.
The issue is not sending, it is receiving. With a fax you need to do some OCR to extract the text, which you then can feed into e.g an AI.
ChatGPT can recognize text on images already.
At horrendous expense, yes. Using it for OCR makes little sense.
I was about to say, you could do serviceable OCR on a 486, which illustrates just how little processing power is needed for conventional approaches compared to this hallucinating AI nonsense.
OCR existed long before the 486. AFAIK it was already used in the 70’s or 80’s to scan mail and presort them based on the postcode. I remember that postcards had light orange boxes (presumably because this color was invisible to B/W scanners?) with dots inside where you where supposed to write the postcode numbers in.
Doing OCR in a very specific format, in a small specific area, using a set of only 9 characters, and having a list of all possible results, is not really the same problem at all.
🤔
My phone can recognize text on images. How hard could it be to send that data to an AI?
How many billion times do you generally do that, and how is battery life after?
I wouldn’t do it on my phone. 🙄
What I’m saying is that it would probably be fairly easy to incorporate an already existing technology in to an AI.
Yes, and what I’m saying is that it would be expensive compared to not having to do it.