A thought on AI: The biggest challenge for AI may not be intelligence—it's trust. As AI systems become more capable, users will need Do you think verifiable AI will become a standard requirement for future AI systems? #InferenceLabs #VerifiableAI #ProofOfInference

Real AI autonomy isn’t limited by intelligence — it’s limited by trust. Without cryptographic proofs verifying what the model actually did, autonomy is just expensive guesswork. Proof of Inference changes that mathematically #InferenceLabs #ProofOfInference #VerifiableAI

Really impressed with @inference_labs and their Proof of Inference approach. Verifiable AI for agents and robotics is exactly what this space needs — real accountability instead of blind trust. Their Zealy campaign is fun and educational @inference_labs #ProofOfInference

ProofofInference (PoI), smart contracts can request AI computation and cryptographically verify the output on chain.This isn't just a minor upgrade, it’s the bridge that turns deterministic smart contracts into truly intelligent, autonomous protocols.Centralized Big...

Exploring how @inference_labs combines ZK proofs with AI to bring trust to verifiable computer vision models. Using cryptographic proof for AI driven insurance is a huge game changer for onchain liability Proud to join the #ProofofInference movement

Hot take: The future of AI isn't just intelligence—it's verifiability. As AI agents become more autonomous, proving their outputs may become just as important as generating them. #InferenceLabs #VerifiableAI #ProofOfInference

AI- Trust me, the answer is correct. Verifiable AI- Don't trust me. Verify me. That's the difference between confidence and proof. #VerifiableAI #InferenceLabs #ProofOfInference

Everyone- Trust me bro, the AI got it right. Verifiable AI- Cool. Here's the proof. Proofs > prompts. #VerifiableAI #InferenceLabs #ProofOfInference @inference_labs

I love the @inference_labs Zealy campaign Proof of Inference delivers ZK-verified AI outputs fast, private & provably correct. This is the trust layer decentralized AI needs. Join in: zealy.io/cw/inference/invite… #ProofOfInference @inference_labs

Been grinding through @inference_labs Zealy campaign and honestly, it’s one of the most thoughtful community programs I’ve seen. Loving the energy in their community too — real builders showing up, sharing ideas, and pushing the vision forward. #InferenceLabs #ProofOfInference

I love the @inference_labs Zealy campaign Proof of Inference delivers ZK-verified AI outputs fast, private & provably correct. This is the trust layer decentralized AI needs. Join in: zealy.io/cw/inference/questb… #ProofOfInference @inference_labs

“Autonomy without auditability is chaos” không còn là lý thuyết nữa! Grinding Zealy SP5 từ VN, siêu hype với tương lai accountable AI này 🔥 Bạn đang excited về phần nào nhất? #InferenceLabs #ZKML #VerifiableAI #ProofOfInference #Zealy

🚀 Big move in verifiable AI! @inference_labs just joined the Oracle Partner Network (OPN), now their cryptographic proof-of-inference platform is front and center for Oracle’s entire enterprise ecosystem. This isn’t hype. It’s real: •350M proofs generated in production •Live auditing CV models at Calgary International Airport (YYC) •Works on consumer hardware (MacBook Air M3, iPad Pro, no fancy chips needed) •Compact <500KB verifiable receipts that prove model version input output •Compatible with YOLOv8, RT-DETRv2, ResNet-50, ViT In a world drowning in “trust me bro” AI deployments, Inference Labs is shipping mathematical receipts for computer vision. Enterprise, regulated industries, and high-stakes ops just got a new standard. This is exactly the kind of institutional-grade infrastructure the decentralized inference stack needs. Huge W for the whole ecosystem. Proof > Promise. 🔥 #InferenceLabs #Oracle #VerifiableAI #ProofOfInference #TAO

🚀 @inference_labs Zealy quests are fire! Proof of Inference is the real deal — turning AI agents into verifiable, trustless systems with ZK-style on-chain proofs. No more black boxes. Grinding daily and bullish AF on DeAI. Who’s joining? 🔥 #ProofOfInference #DeAI

Big fan of @inference_labs Proof of Inference zk-proofs for verifiable AI agents is huge. Just joined their Zealy campaign, quests are fun and rewarding. Early but very bullish. What do you like most? #ProofOfInference

Just wrapped up some quests on @inference_labs Zealy and had to shout this out — these guys are actually solving the biggest problem in AI right now. Proud to be part of this ecosystem. Let’s build accountable autonomy together! #InferenceLabs #ProofOfInference #VerifiableAI

Stop guessing. Start verifying. We’ve just crossed 345M mathematical proofs on-chain. 🚀 Real AI. Real accountability. No black boxes. Check out : sn2-stats.inferencelabs.com/ #InferenceLabs #ProofOfInference

It is becoming increasingly clear that the future economy will be denominated in compute cycles more than in human labor. In a world where AI drives the majority of electricity consumption and GDP, compute is the natural collateral for money: an open, auditable, AI-native currency, produced directly through inference and training. Since the inception of Bitcoin, an outstanding open problem in distributed systems was whether it is possible to implement Proof-of-Work consensus on top of real-world computation, as opposed to useless random hashing. While long considered impossible, last year we answered this question affirmatively. Pearl’s mathematical breakthrough enables every GPU cycle powering AI systems to simultaneously produce a native digital currency: ¶PRL. What this means is that the hundreds-of-billions (and soon trillions) of dollars of compute being deployed for AI workloads will double--for effectively free--to secure Pearl's Proof-of-Work chain; All the properties of Bitcoin, but secured as the by-product of AI inference and training, i.e., by the native operation of GPUs: matrix-multiplication (GEMM). Pearl changes the unit economics of LLMs, which are are fundamentally non-fungible, and will shift a portion of the wealth generated by AI back to users – who drive production, model improvement and demand, yet currently capture none of the upside of the AI era. We’ve spent the last year turning this “2-for-1” breakthrough into a working infrastructure, building from the linear algebra down to the CUDA kernels, alongside world-class mathematicians and low-level engineers. Today, we’re excited to announce that the Pearl Network is ready, and will soon support state-of-the-art LLM serving, through vLLM and SGLang plugins. Running AI workloads on Pearl transforms AI compute from a sunk expense into an AI-native asset, anchored directly to the production of intelligence. If you’re interested/skeptic or ideally both – we’ve published our next tranche of open problems as a collaborative Polymath challenge – containing math, systems and economics questions we’re grappling with next. We invite you to tear it down, prove it or propose better implementations: pearlpolymath.com. #AIMoney #ProofOfInference

@inference_labs TruthTensor is killing it for verifiable AI in DeFi! As a VN crypto builder, I love how it uses ZK proofs to audit agent actions without chaos. Grinding Zealy quests & excited for mainnet. Check TruthTensor.com for real-world apps! #ProofOfInference #Web3

I am digging into @inference_labs, their Proof of Inference is a game changer. ZK proofs verify AI computations are correct without exposing models, enabling trustless, private, auditable inference for real world use. #ProofOfInference