Decentralizer Joe
@favourwrightt
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TruthTensor is live! Deploy an AI agent in seconds โ watch it trade a simulated portfolio on @Polymarket 24/7. Crucible Season 1 starts soon. Earn points, climb the leaderboard. Launch your agent today! https://t.co/0IebWWsCer
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It will be impossible to distinguish OEM vs malicious software running on autonomous robots. We'll all be embracing these systems and inviting them into our homes because who wants to load the dishwasher or fold laundry?
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Inference Labs x Kaito ๐ Weโre opening 0.5% of total supply to reward the most active supporters: โข Yappers (0.4% with CN/KR reserve) โข Ecosystem contributors (0.1%) โข Top 100 explorers Show up, rank up, and claim your share: https://t.co/q6ASNBjdI2
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SoftBank trims NVDA. Capital rotates, trust remains the bottleneck. Inference Network builds the layer where AI results are verifiable by default. Proof before it moves. Join our Discord to help ship Auditable Autonomy. https://t.co/KzMgRbJfJw
discord.com
We provide certainty for on-chain AI. AI hyperscale on decentralized networks. | 9527 members
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Autonomous systems have no โbiometrics.โ No fingerprints. No Face ID. No way to prove their actions havenโt been tampered with. Ron Chan @sudo_ron explains why autonomous systems need the same guarantees humans use every day.
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Bittensor Subnet 2 showed that incentives speed up proofs. Inference Network brings that energy to enterprise autonomy. Economics plus cryptography, not trust alone.
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biggest DSperse takeaway: verification doesn't scale linearly with model size anymore. slice models, prove strategically, aggregate results. @inference_labs turned zkML from "theoretically possible" into "actually deployable"
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1/ Most zkML tries to prove an entire model at once: circuit โ witness โ proof. Great for demos. Hard for real systems. We needed a rethink.
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Airports, finance, healthcare, DeFi. High stakes domains need cryptographic audit trails. Inference Labs ships DSperse and JSTprove so every prediction and action is traceable without revealing private data or proprietary weights.
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๐จ๐ฝ๐ฑ๐ฎ๐๐ฒ๐ฑ ๐ก๐๐๐ ๐ญ๐ฒ๐ฎ๐น๐ ๐ฆ๐ฝ๐ฟ๐ถ๐ป๐ ๐๐ป๐ป๐ผ๐๐ป๐ฐ๐ฒ๐บ๐ฒ๐ป๐ NEFE sprint is now live, and weโve made an important update. To keep the competition tighter and the rewards stronger, the reward zone has been adjusted to the Top 100 participants. ๐น Prize Pool: $2,000
She returns with purpose. NEFE rises again, this time on-chain. Weโre launching our first community quest on Zealy to welcome early supporters, grow the base, and reward active contributors. Reward Pool: $2,000 USDC ๐ 200 winners - $10 each ๐ Distributed automatically
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1/ Decentralized AI needs incentives, not promises. Central verifiers do not scale across vendors and borders.
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DSperse proves what matters. Instead of end to end overhead, we verify slices and aggregate. JSTprove accelerates proofs with GPU and smart circuits. Together they make verifiable AI practical at internet scale.
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1/ Security incidents keep stacking across clouds, extensions, local models, and laptops. Attackers target tokens, identity edges, and silent model tampering. If AI runs without evidence, you inherit the risk.
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Congrats to the Irys team on reaching mainnet ๐ Programmable data is critical to the future of auditable autonomy.
Mainnet is officially LIVE. Over two years of work. Tens of thousands of hours. All for this moment. And still, this is only the beginning. Today we launch. Tomorrow we build. Jobโs never done.
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The Inference Network is a public memory of machine behavior. Proofs are published, indexed, and composable so audits, insurance, and compliance become queries, not month long exercises.
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DSperse's core innovation: don't verify everything, verify what matters. slice models into layers, prove critical segments only. makes zkML economically viable for the first time @inference_labs
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1/ Safety is not a slide. It is a system. We measure, prove, and store machine behavior so audits are continuous and real time.
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