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Also, calculators did millions of operations, but the were 99.999999% right all the time. That's what set the apart from human people: eternal reliability 24/7.
by lordkrandel 2y ago
Also, calculators did millions of operations, but the were 99.999999% right all the time. That's what set the apart from human people: eternal reliability 24/7. AI is about right 1% of the time, a human is needed to recognise when the machine is wrong, and it keeps repeating the same mistakes when identified and corrected. People WISH it was like a calculator, but you know, magic thinking doesn't make things happen.
- senko 2y ago> AI is about right 1% of the time I have an app where people scan their retail/restaurant/cafe receipts and store them. I use Gemini 2.0 for OCR. It is right more than 99% of the time. I would be making many more errors transcribing the receipts manually. AIs are a different kind of tools, for a different kind of problems, with a different kind of failure cases.
- jsk2600 2y agoOCRs are quite different from AI/ML, which the parent comment is referring to. In fact, OCR existed way before the current AI wave.
- immibis 2y agoOCRs are AI/ML in the sense it meant to everyone before 2020.
- senko 2y agoIn case it wasn't clear, I'm using "OCR" in my comment above for "reading and interpreting textual documents provided as images", not as a reference to a specific tech such as Tesseract. In the app, I am, in fact, using AI/ML tech and I'm saying it's very accurate for my use case, as a counterpoint to the parent comment which says AI works in 1% cases, maybe. But since you brought it up, this workflow works better than the supposedly "99.999999% right all the time" traditional code (traditional OCR tools). Hope this clears it up.
- deleted 2y ago[deleted]
- seestem 2y ago> AI is about right 1% of the time just write another prompt edit to say: One of the best skills for developers is to lookup information using search engines. All the information is out there already you just need an understanding what you are looking for. This is similar to painting the colors are there already but not everyone is a good painter. LLMs empower skilled developers and do the boilerplate work usually done by mediocre developers. Later on it will depend on who can write the best prompt but that requires understanding.