1/ Season 1 of Perle Labs is officially live. AI doesn’t move forward without human-verified data. And as AI systems move into high-stakes, real-world deployment, that data has to scale with accountability. That’s exactlt what Perle Labs was built to do 🧵👇

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INCO Fact 20: Developer-Friendly Tooling 🛠️ Inco ☁️ designs its tools for ease of use and rapid development. Complex cryptography is abstracted away by INCO’s stack. Developers can focus entirely on application logic, not encryption.

GM builders 🤖 Learning about PrismaX showed me why physical AI has struggled: robots lack real-world data. By standardizing decentralized teleoperation, PrismaX turns human-guided robot sessions into meaningful training data. Models learning real behavior — solid foundation.

confidential tokens on @Solana

INCO Fact 21: Solidity Integration 🧑‍💻 Inco ☁️ allows Solidity developers to easily add confidentiality. No advanced cryptographic expertise is required. INCO speeds up privacy adoption across smart contracts. 💙///💙

GM frens 🤖 After personally spending time using PrismaX teleoperation system, what stood out to me wasn’t just the tech — it was how naturally humans become part of robot learning. While operating the robot, every movement, correction, and moment of hesitation fed directly

INCO Fact 22: Minimal Learning Curve 📘 Inco ☁️ prioritizes usability across its developer experience. INCO’s documentation simplifies complex confidentiality concepts. Builders can onboard quickly and start building with confidence. 💙///💙

GM friends 🤖 One thing I’m starting to appreciate about PrismaX is how learning doesn’t stop at teleoperation. From my experience in the community, activities like today’s PrismaX Trivia make understanding the project feel natural, not forced. You learn the vision, the tech,

Foundation models turn raw teleoperation data into systems that can generalize across tasks, robots, and real-world environments. At PrismaX, we close the loop with continuous deployment and feedback, so autonomy scales with reliability.

congratulations to the two Inco prize-winning teams from the DeFy'26 hackathon!! they built some really cool stuff using Inco Lightning on Base Sepolia testnet details ↓

GM community🤖 Spending time on PrismaX, I recently tried out Fun Mode, and it surprised me how effective learning can feel when pressure is removed. Even in a playful setting, you’re still guiding real robotic actions. Every movement, adjustment, and experiment quietly

TL;DR: POST-QUANTUM SECURITY → PERMANENT PRIVACY blockchain data is stored forever. that means your encrypted onchain data needs to stay encrypted forever if the encryption breaks, all your transactions, from your salary to your trading history, become visible

GM 🤖 Spending time with PrismaX has reshaped how I see trust in physical AI. When humans guide robots, trust isn’t abstract — it’s built through participation, transparency, and shared understanding. PrismaX treats contributors as partners, not just data sources. That makes

Spending time with PrismaX has taught me that AI models alone aren’t enough. Every correction, hesitation, or adjustment we make while guiding robots becomes part of the learning process. It’s human-in-the-loop learning at scale. Seeing individual actions turn into shared

INCO Fact 23: Confidential DeFi Use Cases 💱 With Inco ☁️, private lending, trading, and payments become possible onchain. Sensitive financial strategies remain protected through INCO’s confidentiality layer. This closely mirrors the privacy standards required in real-world

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