The most ironic thing in Web3? After a year of intensive interaction, the airdrops received are still fewer than what 1,000 bot accounts can get. This "headcount distribution" model has completely failed.
The real problem is: on-chain activity can't distinguish between genuine users and scripts that spam data. Mass mechanical interactions drown out those who truly contribute, which is a classic case of bad money driving out good.
Some projects are starting to address this issue from a different angle—by introducing AI-driven value assessment systems. The core idea is straightforward: separate "surface interactions" from "actual contributions." With smarter recognition mechanisms, they filter out hollow on-chain operations, allowing users who create real value to stand out.
This approach is worth paying attention to. Anti-witching mechanisms combined with contribution quantification might be the future direction for airdrop distribution.
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The most ironic thing in Web3? After a year of intensive interaction, the airdrops received are still fewer than what 1,000 bot accounts can get. This "headcount distribution" model has completely failed.
The real problem is: on-chain activity can't distinguish between genuine users and scripts that spam data. Mass mechanical interactions drown out those who truly contribute, which is a classic case of bad money driving out good.
Some projects are starting to address this issue from a different angle—by introducing AI-driven value assessment systems. The core idea is straightforward: separate "surface interactions" from "actual contributions." With smarter recognition mechanisms, they filter out hollow on-chain operations, allowing users who create real value to stand out.
This approach is worth paying attention to. Anti-witching mechanisms combined with contribution quantification might be the future direction for airdrop distribution.