extrapenguin: Northern lights in blue and purple above black horizon. (Default)
[personal profile] extrapenguin
In addition to the reasons you've probably heard about (executives going "oh cool AI can do all the entry level jobs!" when it really can't, creative labor being even further devalued, etc), two big ones:

The environment. Training an "AI" consumes absolutely massive amounts of computing power, which means massive water intake to cool the servers. (This applies to all cloud servers, but given how computationally intense "AI" is, asking ChatGPT to answer something is much more of a drain on resources than watching something on Netflix is.)

Labor rights. To produce a usable "AI", one needs to first label the data. ("This is a picture of a cat. This is a picture of a dog." ad infinitum) This is currently done by underpaid workers in e.g. Sub-Saharan Africa. A lot of things we think are automated currently still have a human being checking the automation's work.
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extrapenguin: Northern lights in blue and purple above black horizon. (Default)
ExtraPenguin

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