Konnex Launches Onboarding Phase For Developers And Miners Ahead Of On-Chain Testnet

Konnex, the developer behind the decentralized market protocol for autonomous programs and robotics, launched “Konnex: Ingest,” marking the preliminary part of developer and miner onboarding in preparation for the platform’s on-chain testnet scheduled later this 12 months.
The Ingest part is designed to combine Vision Language Action (VLA) fashions and Language Behavioral Models (LBMs) into the Konnex ecosystem inside a managed, off-chain atmosphere, specializing in validating mannequin compatibility, telemetry requirements, and execution workflows earlier than introducing financial or on-chain coordination mechanisms.
During this stage, contributors submit fashions to carry out a predefined set of robotic job eventualities. Each execution produces structured telemetry and video outputs that may be monitored straight by means of a browser interface. Human evaluators then evaluation these outputs, offering suggestions on job success, security, and behavioral high quality. This suggestions is included as Reinforcement Learning from Human Feedback (RLHF) alerts, permitting fashions to be iteratively refined based mostly on precise job efficiency moderately than artificial or simulated labels.
The Ingest part encompasses mannequin submission and formatting validation, off-chain job execution and replay, telemetry assortment for downstream verification, human-in-the-loop analysis, and preliminary efficiency benchmarking throughout fastened eventualities. Operating off-chain permits quick iteration, debugging, and refinement with out introducing financial threat or the necessity for validator incentives.
Konnex Outlines Roadmap For Onboarding, Runtime Testing, And Preflight Simulation
Over the next weeks, Konnex plans to onboard extra contributors and develop the vary of supported mannequin codecs. Data and suggestions collected throughout Ingest will feed into “Konnex: Runtime Zero (R0),” the place fashions will execute below full runtime constraints. Subsequent growth consists of “Konnex: Preflight,” a three-dimensional simulation atmosphere designed for multi-agent coordination, validator replay, and pre-economic stress testing forward of full on-chain deployment.
Documentation, miner calculations, and validator necessities will likely be launched progressively as every element stabilizes. This phased technique is meant to make sure that Konnex’s eventual on-chain operations are grounded in empirically noticed habits, verified human suggestions, and repeatable execution, moderately than theoretical assumptions.
Konnex is a Web3-native, permissionless decentralized market constructed on the Solana blockchain, designed to allow autonomous robots to establish work alternatives, have interaction with AI service suppliers, change intelligence, and settle accomplished bodily duties on-chain by means of good contracts and stablecoins, with outcomes verified by way of a Proof-of-Physical-Work system and coordinated by a decentralized validator community.
Earlier this month, the platform closed a $15 million strategic funding spherical to advance its on-chain bodily economic system initiatives. The funding, led by Cogitent Ventures and supported by Liquid Capital, Leland Ventures, Covey Network, Ventures M77, and Block Maven LLC, is meant to assist the event of infrastructure for scheduling, verifying, and compensating autonomous robotic work on-chain, with the broader purpose of integrating real-world labor into blockchain networks.
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