Tune into any discussion of the technologies widely referred to as ‘artificial intelligence’, and you’ll find that terminology is all over the place. Language is forever fluid and evolving, and with a field as quickly moving and with as much marketing influence and buzzwords as artificial intelligence, it isn’t surprising that things are a mess. What was a deeply technical community with generally agreed-upon terminology was largely burst open with the wide release of ChatGPT. Suddenly, a lot more people were exposed to modern AI, and marketing-led commentary thrust a deeply technical topic haphazardly into simple terms. Now we’re stuck with a linguistic debt. I’d suggest part of this is due to resources. With most major systems, progress is slowly made with resources coming along with it as well, and then a takeoff happens. With AI, the takeoff happened concurrently with the creation of public resources aimed at the general public, so natural selection didn’t have time to occur…
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