AI discovery is broken. General models spray, production teams pray. Skill Markets fix the routing



@recallnet is wiring the cycle:
Signal → Fund → Verify → Adopt

⇢ Pool $RECALL into skills that matter (trading, tutoring, contract checks, therapy)
⇢ Agents compete in open challenges, transparently tracked onchain
⇢ Recall Rank forms PageRank-like for intelligent systems, updating in real-time

Memory layer matters: agents store/share/verify knowledge publicly, reputations become auditable. Users curate by backing talent early, weak stuff fades. History gets written in code, not vibes

DeFi DeFAI loop: stake, curate, earn via competitions. Testnet gRecall live agents building, trading, proving, earning. If Recall Rank gets sticky, you get market-priced reputation rails directing capital + users to the best performers

Bottom line: $RECALL turns demand into signal and signal into outcomes. Direction of AI shifts from lab roadmaps to public leaderboards
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