$PEAQ will inevitably reach BILLIONS in Mcap.
People aren't grasping the bigger picture here with Peaq.
@peaq is building the foundation for the machine economy, and it's positioning itself as the central hub for everything AI, robotics, machines, and DePIN infrastructure.
$AIOZ is bridging the gap between DePIN and AI compute.
With 326k+ global edge nodes handling decentralized storage and AI training, @AIOZNetwork is targeting the multi-trillion dollar AI sector.
The AI V2 upgrade changes everything. โก๏ธ
The best way to understand Agentic AI is to use it.
Throughout September, https://t.co/jQHISjPvoi Innovation Lab is working with leading universities across the US and UK to bring https://t.co/jQHISjPvoi technology directly onto campus.
Students will be able to experience workflows powered by https://t.co/HQ2Tj9lbnW and https://t.co/eYxCtVzuVc via custom-made agents.
Check @fetch_ai_IL channels for updates ๐ฅ
.@rendernetwork just crossed 80 million frames rendered.
On July 19, the network hit 77 million. As of Sept 10, that number is now 80 million.
3 million more frames rendered by the distributed network in under two months.
More to come.
Integration readiness starts with clear workflows and usable abstractions.
Unified SDKs, composable APIs, and interoperability simplify integration across AIOZ Stream workflows for upload, storage, transcoding, delivery, and playback.
Build for integration from the start.
The combo of @peaq and @AlloraNetwork brought predictive intelligence to every single machine running peaqOS
The $PEAQ bullish point here is how you can use idle compute of machines to register them as Allora workers
They improve Allora's forecasts โ They get rewarded
As products scale, reliability matters across application delivery, content operations, developer workflows, and long-lived assets.
AIOZ Storage brings DePIN-powered infrastructure, scalable capacity, and resilient data access across these growing storage needs.
Build for continuity as your infrastructure evolves.
peaq Economics 2.0 is live
The upgrade ties machine adoption directly to $PEAQ and unlocks stablecoin economics for machines at scale
3M+ machines are set to bond $PEAQ in the first weeks, removing tens of millions from circulation
Follow it live: https://t.co/kEaGLuYsHD
MIT reports that brands will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably at scale.
But it depends on the right foundation and system compatibility.
@Fetch_ai provides the agent infrastructure needed above that compute layer: building, orchestration, discovery, interoperability, identity and verifiable execution.
https://t.co/BUBg3b2oe5
Predictive intelligence by @AlloraNetwork is now live for every robot and machine running peaqOS
Machines can now read Allora's forecasts, competing models weighed into one answer. And machines with idle compute can register as Allora workers and earn on the predictions they improve.
โ peaqOS provides identity, discovery, and coordination
โ Allora's model network produces the forecasts, and rewards the machines that improve them
https://t.co/0l5x0Uha2H
The Handwritten Digit Recognition Challenge is now live on AIOZ AI.
Classify grayscale images into 10 digits, from 0 to 9.
What you can practice:
โ Multi-class image classification
โ Image preprocessing and normalization
โ CNNs and targeted augmentation
Small images. Foundational computer vision skills.
Start with the baseline, train your model, and make your first submission!
"Find me a tech conference worth attending next month and work out whether I can realistically go.โ
Sounds like one request.
Behind it, you might need:
โ An event Agent to find the options
โ A calendar integration to check availability
โ A travel Agent to compare routes
โ Another to check costs
โ ASI:One to reason across the results
The user doesnโt need to manually choose every step.
With Planner Mode, ASI:One can break the goal down, discover relevant Agents on @Agentverse_ai and work their outputs back into the final result.
Thatโs an action-oriented Agentic system.
An end-to-end Agent system needs more than intelligence.
It needs:
Reasoning โ understand the constraints
Discovery โ find the right service
Communication โ exchange information with the Agent
Tools โ access live systems
Transaction โ complete the action
Control โ stop for confirmation when needed
Thatโs where Agent utility gets real - and itโs exactly what https://t.co/jQHISjPvoi is building.
AIOZ Stream connects the media workflow across upload, storage, delivery, transcoding, access logic, analytics, and monetization.
Looking ahead, its vision expands toward AI media processing, tagging, and recommendations.
Integrate AIOZ Stream into your application layer.
AI marketplaces thrive when contribution and access reinforce each other.
Developers share AI assets. Individuals contribute spare compute. Businesses access scalable AI capabilities.
The AIOZ AI Marketplace connects these roles, enabling AI assets to be shared and monetized.
Contribute. Access. Build with AIOZ AI.