aprentic

@aprentic@kbin.social
aprentic,

@ernest (since you likely know more about this than anyone else). Is there something obvious I should be doing?

aprentic,

They get three things out of it; data, loyalty and influence.

When a company can identify your shopping behavior across many visits they can build a much more accurate profile of you. When they can tie that to purchases with partner vendors they get an even better profile. If they can tie that purchase information to real world contact information it gets even better. It's like being able to follow your customer around all day to get to know them better.

The loyalty programs also provide a way to invoke the sunk-costs fallacy. Once people get a hole punched in your coffee card they feel like they've earned part of a coffee that they'll miss out on if they don't get the rest of the holes punched. So they keep coming back (and they'll often get an other hole punched with the free coffee).

Companies can also use the loyalty programs to promote new products, steer customers to more profitable products, disguise shrinkflation and target their ads more effectively.

aprentic,

Isn't that the case for almost all services that do any amount of predictive typing?

Is there a reason to think that sending keystrokes to a Chinese prediction engine is inherently less secure than sending them to a prediction engine that works in any other language?

aprentic,

That's a matter of OSS vs proprietary software though. It has nothing to do with Chinese vs other languages.

aprentic,

Do you think Reddit (or the companies buying their data) have a good way to distinguish humans from AIs?

Presumably they have lists of the accounts their own AIs use but how do they know they're not training their AI off of posts from some other AI?

What happens when a bunch of AIs keep training off each other's output? Do they converge towards total gibberish or is it the next evolution of language?

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