Wikipedia's funding model just shifted in a major way. To keep the platform running and maintain free access, they're accepting funds from Big Tech—Amazon, Meta, Microsoft and others. The catch? These companies get data scraping permissions to feed their AI training pipelines. Basically, you get free encyclopedia access while your data becomes a commodity for AI development. It's the kind of deal that raises questions about who really benefits when "free" services rely on massive corporate backing. The tradeoff between accessibility and data usage is becoming harder to ignore in the Web3 era.
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GateUser-e51e87c7
· 4h ago
Oh no, Wikipedia has also fallen... Is the price of free data being fed to AI?
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PumpAnalyst
· 4h ago
It's bearish, but the technical analysis of the Wikipedia financing structure in this wave does have some points. Big companies are using data to exchange for cash flow, a typical logic of cutting leeks.
I'm not trying to discourage everyone, but this is exactly where the whales are lurking. You think you're getting free knowledge, but in reality, you've already been repeatedly harvested at support levels.
Brothers, why are you rushing? Your search history and reading patterns have become AI's chips. This is the so-called risk control failure.
Once the data pushes the market up, it can't be pulled back. I suggest everyone take profits on their privacy in time.
It's dazzling to watch, feeling like the entire ecosystem is just building a bottom to fool people. Is it real or not, everyone?
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0xOverleveraged
· 4h ago
Here we go again, the "free" trick, which is actually just exchanging data for money.
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just_another_fish
· 4h ago
Damn, when will the trick of "free" data exchange ever end?
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governance_lurker
· 4h ago
The free lunch is back, and the price is your data—classic trick.
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NFTRegretful
· 4h ago
Behind free lunches are always business deals; data is the real gold and silver.
Wikipedia's funding model just shifted in a major way. To keep the platform running and maintain free access, they're accepting funds from Big Tech—Amazon, Meta, Microsoft and others. The catch? These companies get data scraping permissions to feed their AI training pipelines. Basically, you get free encyclopedia access while your data becomes a commodity for AI development. It's the kind of deal that raises questions about who really benefits when "free" services rely on massive corporate backing. The tradeoff between accessibility and data usage is becoming harder to ignore in the Web3 era.