justin․searls․co

Inside the AI Factory

This is worth a read. If you've been harboring any illusions that machine learning and AI are cleanroom scientific breakthroughs, this should dispel it.

There are people classifying the emotional content of TikTok videos, new variants of email spam, and the precise sexual provocativeness of online ads. Others are looking at credit-card transactions and figuring out what sort of purchase they relate to or checking e-commerce recommendations and deciding whether that shirt is really something you might like after buying that other shirt. Humans are correcting customer-service chatbots, listening to Alexa requests, and categorizing the emotions of people on video calls. They are labeling food so that smart refrigerators don't get confused by new packaging, checking automated security cameras before sounding alarms, and identifying corn for baffled autonomous tractors.

If you sit with the thought that AI models are only valuable when they're provided painstaking and voluminous feedback from poorly-paid workers, the associated "intelligence" begins to evoke thoughts of the mechanical Turk (the one from history, not the Amazon product).


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