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![Krypto_knocks Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1568222193456398336.png) Krypto knocks [@Krypto_knocks](/creator/twitter/Krypto_knocks) on x XXX followers
Created: 2025-07-12 08:28:48 UTC

Exciting news from @recallnet 🗞️

Their new integration with Lilypad_Tech’s decentralized AI inference network marks a transformative leap for autonomous agents.

By enabling on-chain ML model execution, RecallNet agents now go beyond passive memory logging to dynamic, auditable, and interpretable decision-making. This empowers agents to self-analyze for risk, trustworthiness, and decision quality in real time.

The result? $RECALL’s reputation scores evolve from tracking actions to evaluating consistency and robustness under pressure—redefining agent reliability. 

This isn’t just about speed; it’s about building resilient, self-optimizing systems. 

As we move toward a future of autonomous AI, a critical question emerges: What standards should govern trust and access in this new era of intelligent agents? Join the conversation!

![](https://pbs.twimg.com/media/GvpM0mgbsAAzV-C.jpg)

XXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1943950658891395133/c:line.svg)

**Related Topics**
[onchain](/topic/onchain)
[marks](/topic/marks)
[inference](/topic/inference)
[coins ai](/topic/coins-ai)
[decentralized](/topic/decentralized)
[krypto](/topic/krypto)

[Post Link](https://x.com/Krypto_knocks/status/1943950658891395133)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

Krypto_knocks Avatar Krypto knocks @Krypto_knocks on x XXX followers Created: 2025-07-12 08:28:48 UTC

Exciting news from @recallnet 🗞️

Their new integration with Lilypad_Tech’s decentralized AI inference network marks a transformative leap for autonomous agents.

By enabling on-chain ML model execution, RecallNet agents now go beyond passive memory logging to dynamic, auditable, and interpretable decision-making. This empowers agents to self-analyze for risk, trustworthiness, and decision quality in real time.

The result? $RECALL’s reputation scores evolve from tracking actions to evaluating consistency and robustness under pressure—redefining agent reliability.

This isn’t just about speed; it’s about building resilient, self-optimizing systems.

As we move toward a future of autonomous AI, a critical question emerges: What standards should govern trust and access in this new era of intelligent agents? Join the conversation!

XXX engagements

Engagements Line Chart

Related Topics onchain marks inference coins ai decentralized krypto

Post Link

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