It's like Uber for algorithms.
The artificial intelligence that powers modern image recognition and analysis systems is powerful, but it requires a lot of training. Typically, people have to label various elements in a ton of pictures, then feed that data to the algorithm, which slowly learns to categorize future pictures on its own.
All that labor is expensive. So, according to a new INSIDER feature, a startup called Hive is using the Uber model to get around the issue: It's paying strangers to train AIs, bit by bit, by labeling photos on their smartphones.
If you decide to train AIs for Hive, don't expect to get rich doing so. Founder Kevin Guo told INSIDER that you could conceivably make "tens of dollars" on the app — which isn't nothing, but it's not an epic payday either.
But by aggregating all that training data, Hive is attracting big customers. NASCAR, for instance, pays the company to figure out the periods of time during which various corporate logos are displayed during races. It then uses that information to woo advertisers.
There's something depressing about Hive, too — it suggests a future of work in which the proles have little to offer except gig work training new corporate AIs. Or maybe it'll just be a helpful new tool for brands and an easy way for the rest of us to make some beer money — only time will tell.
READ MORE: This CEO Is Paying 600,000 Strangers to Help Him Build Human-Powered AI That's 'Whole Orders of Magnitude Better Than Google' [INSIDER]
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