And the best microscopes can't effectively peel potatoes.
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Are you sure about that?
It's been a while since I used a microscope (a bit less than 20 years), but I do remember having to peel and cut up onions to then look at them in the microscope.
Maybe these days there are some microscopes that come with a peeler thing built-in? :)
Maybe these days there are some microscopes that come with a peeler thing built-in? :)
Yeah, the progress we deserve :)
how is that relevant? If an ai model is marketed as multimodal, then reading a clock is one of the things you'd expect they can do. Because it's explicitly marketed as being able to understand images.
LLM don't seem suited for things like OCR.
There is a lot of other edges cases. They don't work well with math, either explicit or even implied calculations. I've had cases where the LLM gave copytext from news releases for a summary figure, instead of actually doing the calculation from the parts provided.
Another massive failure with LLMs was subtitles editing. It's still way faster and easier to use a specialized subtitle editing suite. I honestly couldn't get the LLM to copy the source SRT file "to memory" (to then apply prompts).
They are marketed as "AI" when they are really just giving plausible output (that can often be very helpful) to a prompt.