Zug, Switzerland, March nineteenth, 2024, Chainwire
Streamr has introduced the launch of the Streamr Community 1.0 mainnet, a landmark milestone that signifies the completion of the unique 2017 roadmap. 1.0 introduces the total deployment of the $DATA token incentive layer, reworking the community right into a feature-complete, absolutely decentralized protocol run and operated by its customers.
The end result of over six years of analysis and growth, three rounds of incentivized testnets, and overcoming a technical hurdle that triggered a final minute launch abort, Streamr 1.0 means decentralized information broadcasting has arrived.
Key options of Streamr 1.0:
Absolutely deployed tokenomics: The activation of the $DATA token incentive layer, means the Streamr Community can function autonomously from the staff as a impartial, absolutely decentralized messaging protocol.
Introduction of recent community roles: The peer-to-peer market forces between Sponsors, Operators, and Delegators are unlocked.
Stream sponsorships: Sponsors create and fund stream Sponsorships and staked Operators earn from them. These sensible contracts handle the reward distribution amongst Operators, who run nodes and assist to relay the information inside it.
Trackerless community structure: The transition to a trackerless structure, leveraging a globally distributed hash desk (DHT) for enhanced effectivity and scalability.
New advantages to node operators: With 1.0, it’s now attainable to simply accept delegations and take a lower from the earnings, subsequently permitting node operators the prospect to earn extra. 1.0 additionally brings different enhancements for node operators, together with the elimination of node limits per IP, fast reward claiming from lively Sponsorships, and different high quality of life enhancements.
New use circumstances unlocked:
1.0 units the stage for exploring new use circumstances in areas equivalent to Decentralized Bodily Infrastructure Networks (DePIN), decentralized AI, and decentralized video streaming.
Decentralized video streaming: Streamr is exploring decentralized dwell video streaming, testing its capability to ship scalable and steady video feeds to viewers at scale. By leveraging the community’s peer-to-peer protocol, Streamr can eradicate the reliance on centralized distribution factors, permitting viewers to immediately contribute to the broadcasting community as they eat the content material, optimizing effectivity and scalability.
DePIN: Streamr 1.0 enhances the capability for DePINs to transition from centralized information pipelines to a totally decentralized array of contributors. The community’s serverless, safe, and scalable framework is good for broadcasting information from and between related units, shifting DePINs in direction of a very distributed structure.
Decentralized AI: The 1.0 milestone has the potential to rework synthetic intelligence by positioning Streamr as a impartial information layer, providing safe information streams for AI growth, reliability, and transparency. With Streamr, AI fashions can interconnect, share insights, plug into real-time tuning information, dwell content material distribution, and collectively improve their intelligence. Integrating with a decentralized framework can present a step in direction of making certain AI operations are extra open, verifiable, and up-to-date.
These adjustments, alongside the exploration of recent use circumstances, underscore Streamr’s dedication to pushing the boundaries of what’s attainable within the realm of decentralized applied sciences.
About Streamr
Streamr is constructing the real-time information protocol of the decentralized internet. This features a scalable, low-latency and safe P2P Community for information broadcasting, supply, and trade. As a part of the imaginative and prescient, Streamr has constructed The Hub—a dApp that champions open information to assist DePin, AI, and Web3 builders decentralize their tech stack with real-time information flows. The Streamr mission was began by real-time information veterans with backgrounds in algorithmic buying and selling and finance markets.
Contact
CMOMark LittleStreamr Communitymedia@streamr.community
