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$JST Catalyst Posts

December 28, 2025

Single-day social intelligence recap and verified catalyst posts · ← Back to $JST Profile · Market Rankings

💬 Curated Viral Posts & Community Evidence

5 source posts analyzed
Rayhana Putri (vbsang) @mhlsamtygggc · 2025-12-28T10:28:18+00:00

Good Evening Web3 Fam Enterprise autonomy fails without evidence. Regulators and customers want receipts. JSTprove produces receipts for every decision while DSperse keeps costs under control. Verify more, spend less, deploy faster. Let's break this down in this thread:, Why

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𝟘𝕩𝕊𝕖𝕤𝕤𝕙𝕠 @0xSessho · 2025-12-28T02:43:05+00:00

gm/gn ct i think one of the most underrated things about @inference_labs is who they are actually building for when an ai starts making real decisions, it is not enough for it to just “work” clients, partners, and regulators want to see evidence with JSTprove, every inference

icefrog.◎ @icefrog_sol · 2025-12-28T08:32:37+00:00

This is a turning point for zkMLwhat DSperse + JSTprove by @inference_labs are doing here is basically rewriting the scaling playbook Sharding proofs across nodes, hitting linear scaling, predictable memory & near real-time verification… that’s production-grade throughput in

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bron.ZXT @0xBronzu · 2025-12-28T16:26:33+00:00

AI agents handling real money or decisions? No proof = no trust. JSTprove nails it: ZK receipts for every inference math backed, not marketing backed. DSperse cuts cost by verifying only what matters. Decentralized AI won’t scale without verifiable integrity. This isn’t hype

PYGYz @Thanhlex0xx · 2025-12-28T05:51:42+00:00

Efficiency and trust are not supposed to be a tradeoff. Under JSTprove, each decision has a receipt that can be verified. DSperse keeps its costs under control without impeding deployment. More verification. Less spend. Faster execution. That is the way that @inference_labs is