Vitalik Buterin, co-founder of Ethereum, has endorsed the usage of zero-knowledge (ZK) expertise for “likes” on Farcaster, an Ethereum-based decentralized social media protocol.
This suggestion got here in response to an announcement by X engineer Haofei, revealing that consumer likes on X shall be personal.
Buterin argued that this method would deal with the difficulty of “choice falsification,” when people conceal their true preferences resulting from social stress.
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ZK expertise, a cryptographic methodology, permits customers to show they preferred a publish with out revealing their identification, thereby preserving privateness.
Buterin really helpful utilizing ZK expertise from Zupoll, a device developed for his Zuzalu decentralized metropolis venture. Zupoll allows nameless voting and decision-making, aligning with Farcaster’s concentrate on consumer privateness, censorship resistance, and autonomy.
The publish that impressed Buterin’s suggestion introduced that X is making consumer likes personal and defined that public likes incentivize “flawed habits,” making individuals really feel discouraged from liking the content material they need.
The group’s response to this determination was blended, with some advocating for extending privateness measures to different options just like the “Following” checklist.
Others, like @WallStreetSilv, opposed the replace, saying:
The variety of likes seen is a good indicator on whether or not one thing is value studying or watching. I assumed X was attempting to encourage extra engagement. You take away the essential indicators of engagement and top quality content material.
It would not be the primary time that adjustments on X have been criticized by the group. Ripple CTO David Schwartz has beforehand challenged Musk’s coverage to cost new X customers, saying it contradicted his proclaimed advocacy for absolute freedom of speech.
Nonetheless, Buterin’s suggestion to implement ZK likes on Farcaster aligns along with his broader efforts to reinforce privateness and decentralization.
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