LayerZero has bought back 1,495,039 $ZRO or 0.15% of total supply since September 2025. SOURCE: https ://layerzero.foundation/zro-buybacks

Join the @DogeOS crew 🐕 Take part in a coordinated activation on @GalxeQuest to complete missions and become part of the pack. Move from observer to participant: g.xyz/dogeos-quest

Perle Labs turns human expertise into a compounding data engine. Every annotation feeds a reputation-weighted system designed to improve data quality over time: → Verified expert annotation → Human-verified model input → Nn-chain reputation scoring → Reputation-weighted task allocation 🔁 repeat As contributors build verified reputations, they earn access to more complex, specialized domain work. The result: a system where data quality improves every cycle.

WHAT IS @PerleLabs BUILDING? Perle Labs is building sovereign, enterprise grade AI data infrastructure with one core mission is making training data verifiable. Instead of complex datasets and anonymous labeling pipelines, Perle introduces a system where every data contribution is human-verified, expert-validated, and auditable onchain. Organizations using Perle can trace exactly where a piece of data came from, who verified it, what their credentials are, and how reliable that contributor has been across time and tasks. Think of it as a permanent, tamper proof paper trail for the most important ingredient in an AI system the data it learned from. One of the most quietly powerful ideas in what Perle is building is the contributor reputation system. It's not enough to know that a human verified a piece of data. You need to know which human, with what expertise, and whether their past verifications have held up under scrutiny. #PerleAI #ToPerle Perle's infrastructure tracks contributor reliability over time. A medical professional who has consistently produced high-quality annotations in clinical datasets carries a different weight than an anonymous crowdworker who just showed up. That reputation travels with the data, building a living record of trustworthiness that compounds in value the longer contributors participate.Verifiable data provenance is trust infrastructure. It's the same core insight behind onchain credentials, decentralized identity, and auditable supply chains but applied to the single most important input in the AI economy. Data has always been valuable. Verifiable data is in a different category entirely. The AI industry spent the last decade obsessed with model architecture. The next decade will be defined by who controls and who can verify the data underneath. Perle Labs is building for that world. It's worth paying attention. #PerleAI #ToPerle participating in @PerleLabs community campaign

Sovereign AI Data by @PerleLabs Most AI companies can't answer a simple question: Where did your training data come from? Who labeled it?. What credentials they had? Whether it was verified. Whether it was tampered with. They can't answer because they never built the infrastructure to answer. Data scraped from the internet. No quality standard. No audit trail. That was fine when AI was writing product descriptions. It is not fine when AI is reading your CT scan. Here's what most people don't realize about how AI actually gets trained Every model GPT, Claude, Gemini, all of them learns from labeled data. Humans look at text, images, audio, medical records, legal documents, and tell the AI what things mean. That's called annotation. The quality of that annotation determines what the AI learns. And right now, for most companies, that annotation is being done by whoever clicks fastest on a crowdsourcing platform. No domain expertise. No verification. No record of who did what. That's the problem @PerleLabs is solving. Perle is building what they call sovereign AI data infrastructure a platform where: → Every annotator is a credentialed domain expert. Doctors labeling medical data. Lawyers handling legal documents. Engineers working on robotics tasks. → Every contribution is quality scored and reputation weighted. You don't just get paid per task. You build an on-chain track record that compounds over time. Better work = higher reputation = access to higher-value tasks. → Every single data point is logged on chain. Permanently. Immutably. So any enterprise deploying AI in a regulated environment can show regulators, auditors, or a courtroom exactly what their model learned from and who signed off on it. That last part is the "sovereign" piece. The institution owns the proof. Not a promise from a vendor. An immutable on-chain record they control. Why does this matter right now specifically? Because AI is crossing a threshold. It's moving from generating content low stakes, easily corrected to making decisions. Medical diagnoses. Legal analysis. Defense systems. Autonomous infrastructure. At that threshold, "trust me the data is fine" stops being acceptable. Perlelabs have raised $17.5M from Framework Ventures, CoinFund, and HashKey. Over 1 million credentialed annotators on the network. Over 1 billion scored data points contributed. Contributors earn on-chain points, build reputation, and qualify for USDC rewards and token airdrops. The foundation is becoming the most valuable part of the AI stack. Not the model. Not the interface. Not the compute. The verified, human-sourced, auditable data underneath all of it. That's what @PerleLabs is building. #PerleAI and #ToPerle Sovereign AI Data starts now 🫧 Participating in @PerleLabs community campaign please like and share this tweet.

Taking advantage of poor market conditions, Bitcoin has collapsed, and over the past 11 hours 428k $ZRO were sold on Coinbase to 2 traders worth $2.3M: - Trader 1 bought 689k tokens - Trader 2 bought 427k tokens Since the beginning of 2026, $ZRO has still been bought and accumulated in the literal sense. This situation will continue until the end of this year! Traders: intel.arkm.com/explorer/addr… intel.arkm.com/explorer/addr…