No. There are AI systems currently in-use, and I expect they could be improved significantly with a purpose-built model (e.g. one that describes what's actually

No. There are AI systems currently in-use, and I expect they could be improved significantly with a purpose-built model (e.g. one that describes what's actually there, rather than describing how it's supposed to make you feel), but there's no way to bring the friction down without compromising accuracy (even further). Describing an image involves editorial decisions that just aren't present when doing language-to-language translation, there's no way to avoid that, and transformer models (etc) are bad at editorial decisions more complicated than "rank the salience from most to least". A current-gen AI system has all the problems of a ghetto system (see https://news.ycombinator.com/item?id=44297481 https://news.ycombinator.com/item?id=44297481), with the added bonus of being inherently unpredictable. https://www.bemyeyes.com/ https://www.bemyeyes.com/ serves a similar role: higher-latency, different privacy concerns, way better accuracy (most of the time). You can see why this isn't the same genre of thing as "make computer systems that people can actually use without assistance".