📢 Community Announcement!
The long-awaited roadmap update is scheduled to go live soon. In addition, the Season 2 snapshot is drawing closer.
Big things are ahead! stay tuned and keep your eyes on our official channels for further updates.
SHIFT badge drop is live.
• Pre-register on loyalty.shiftrwa.xyz.
• Complete the tasks.
• Reveal and share your badge.
This is where your points multiplier gets locked in.
🧵
The $DROPEE TGE is coming this May!
Date, exchanges, sale details dropping in the coming days.
Massive announcements coming. You don't want to miss them.
Contribution evolves with precision.
Pulse Node classes introduce different cooldowns and reward multipliers, unlocking higher efficiency and stronger signal output through xSENS activation.
The XENEA Testnet is live.
Explore, test, and build with public RPC endpoints, faucet, and complete developer documentation.
Your participation shapes what comes next.
→ media.xenea.io/blog/20260402-…
Knovus Crypto School // Session 014
Hint:
Shared secret. Single key.
Locking and unlocking data with a one-to-one mapping.
The informed stay ahead.
The question is now live on the Knovus platform.
Excited to share a new paper from the cPen Network:
"From Labor to Attention: A Token-Economic Framework for the AI Era"
As AI automates more and more work, traditional jobs are becoming less reliable as a source of income and stability. At the same time, the explosion of AI and automation is making genuine human attention one of the scarcest and most valuable resources in the digital economy.
As AI and automation continue to weaken traditional job-based income, the paper argues that an attention-centered economy may gradually emerge as a complementary layer, giving ordinary people a new way to participate and earn in the digital world, alongside their existing work.
We believe this shift creates a major opportunity for fairer systems.
The paper introduces ATEM, the Attention-Token Economic Model, a practical framework for rewarding verified human attention with real economic value.
Here’s how ATEM works as a self-reinforcing loop:
• Attention Capture: Users contribute real attention through simple check-ins, browsing, evaluating content/products, or light tasks, all verified as human (not bots or AI agents).
• Attention Monetization: Advertisers and merchants pay for access to this genuine human attention.
• Token Distribution: Contributors receive tokens proportional to their verified attention.
• Token Absorption: A portion of the real revenue is used to buy back tokens from the market. This ties rewards directly to actual economic demand instead of speculation.
This creates a powerful cycle: Revenue funds buybacks → Buybacks support token value → Higher token value attracts more genuine participants → More participants generate more valuable attention → More revenue.
Importantly, the cPen Network project will use ATEM as a guiding framework to evolve our system: making it more fair, transparent, and resilient in the AI era by directly rewarding verified human attention and closing the contribution gap.
📄 Full paper (open access on GitHub):
github.com/cPenNetwork/Fr…
Direct PDF:
github.com/cPenNetwork/Fr…#cPenNetwork community, this is core to our direction.
Thank you for your continued support.
cPen Team
A small team with a big dream
SENS coordinates the entire ecosystem.
It powers node rewards, unlocks premium node tiers, enables dataset payments, and allows governance voting on network features and reward structures.
Contributors and developers share aligned incentives.
Demand for location intelligence is accelerating across retail logistics urban planning and mobility services.
Structured spatiotemporal datasets enable companies to understand activity cycles and improve operational decisions in real environments.
Knovus Crypto School // Session 013
Hint:
Programmable identity. Frictionless flow.
Turning traditional wallets into smart contracts to automate the user layer across blocks.
The informed stay ahead.
The question is now live on the Knovus platform.
Most protocols are built for the block.
The protocol is built for the user across blocks.
User-across-blocks is the new layer.
The shift is here.
GKnovus
Knovus Crypto School // Session 012
Hint:
Trust, but verify.
These rollups assume transactions are honest by default, only using "Fraud Proofs" if a state transition is challenged.
The question is now live on the Knovus platform.