CoopHive

Massive updates to our marketplace protocol and distributed computing network! Token-Agnostic Job Exchange - exchange any ERC-20 for a docker job - exchange any ERC-721 for a docker job - exchange any combination of ERC-20 and ERC-721 for a docker job (directly, no conversions or AMMs required) Autonomous Agent Negotiation Autonomous agents will use advanced negotiation strategies for pricing and scheduling your jobs, inspired by the paper "Negotiation Decision Functions for Autonomous Agents". Distributed Redis Deployment Deploy Redis in a distributed computing network with efficient and competitive pricing. Token-agnosticism and bundled payments open up a massive design space for distributed computing, enabling composition with other marketplaces and laying the foundation for the cybernetic economies of the future. Demos 1) Exchanging any ERC-20 for a docker job https://lnkd.in/e92YC5YB https://lnkd.in/ehkXVacF 2) Exchanging any ERC-721 for a docker job https://lnkd.in/eZXrYxJj https://lnkd.in/eSq5Ptjp 3) Exchanging any combination of ERC-20 and ERC-721 for a docker job https://lnkd.in/eeFc927Q https://lnkd.in/ef7QHdiF 4) In-depth explanation of job lifecycle and agent-to-agent negotiation https://lnkd.in/e7_6-_cc 5) exchanging bundles of DeSci tokens for compute https://lnkd.in/e7KZzY8j We’re actively looking for beta testers for distributed Redis deployment to provide feedback and help shape the future of the network. If you’re interested, please reach out! You can check out our vision, docs, and more at coophive.network, and join our discord here: https://lnkd.in/epSdReNs

Decentralized AI Summit, organized by MIT Media Lab is moving at a pace beyond what my human brain can fully absorb. It’s a mind fire of ideas and innovation! The event today introduced vast array of opportunities, reflecting how technology evolves and what to expect over the next five years. Yet the critical discussions on the safe and responsible use of AI remain behind with respect to the accelerating speed of this change. Here are a few points that resonated with me in scope of responsible AI. (1) Addressing human bias in problem solving, upon defining the target outcomes, by Mark Castleman. Hence, AI Bias. (2) Threats to data privacy in exchange for ease, speed, and convenience of using AI systems, by Kavita Gupta. (3) Kavita also addressed AI agents safety risks, referencing the conversations between AI agents trained in HR. Along my career in risk and resilience, I have seen that most severe negative impact was caused from threats by insider users. Now, there is an additional threat category of AI agents, along with natural catastrophes, human insider and human outsider of an organization, acting deliberately or accidentally. (3) Risks of Decentralized AI, by Michael Casey (4) Increasing value of performance, verifiability and privacy as AI becomes invisible, by Jarrod Barnes (5) Benefits on incentive sharing, governance, and power of user sovereignty, in decentralized AI systems, by Ayush Chopra (6) Decentralization as part of governance, enabling AI system's availability when an actor is no longer present in the system, by Neha Narula Great to have John Werner facilitating the project presentations by Acoer, Atoma Network, CBase AI, CoopHive, Index Network, NEAR Protocol, Nevermined, NET Offset, Newfoundation, OriginTrail, FormAI, Synergetics.ai, Grove AI, Livepeer and more I voted for. Last, Joseph Jacks joined from the West Coast, opening up a conversation on investing in open source, followed by breakout sessions. Congratulations to Raj Simhan, Chris Pease for making this event a success, Ramesh Raskar and Santanu Bhattacharya for leading this initiative in #decentralized_AI at MIT Media Lab Let's have the discussions on safe and responsible use of AI, so the decisions and implementations of risk countermeasures are not left behind.

Decentralized AI Summit, organized by MIT Media Lab is moving at a pace beyond what my human brain can fully absorb. It’s a mind fire of ideas and innovation! The event today introduced vast array of opportunities, reflecting how technology evolves and what to expect over the next five years. Yet the critical discussions on the safe and responsible use of AI remain behind with respect to the accelerating speed of this change. Here are a few points that resonated with me in scope of responsible AI. (1) Addressing human bias in problem solving, upon defining the target outcomes, by Mark Castleman. Hence, AI Bias. (2) Threats to data privacy in exchange for ease, speed, and convenience of using AI systems, by Kavita Gupta. (3) Kavita also addressed AI agents safety risks, referencing the conversations between AI agents trained in HR. Along my career in risk and resilience, I have seen that most severe negative impact was caused from threats by insider users. Now, there is an additional threat category of AI agents, along with natural catastrophes, human insider and human outsider of an organization, acting deliberately or accidentally. (3) Risks of Decentralized AI, by Michael Casey (4) Increasing value of performance, verifiability and privacy as AI becomes invisible, by Jarrod Barnes (5) Benefits on incentive sharing, governance, and power of user sovereignty, in decentralized AI systems, by Ayush Chopra (6) Decentralization as part of governance, enabling AI system's availability when an actor is no longer present in the system, by Neha Narula Great to have John Werner facilitating the project presentations by Acoer, Atoma Network, CBase AI, CoopHive, Index Network, NEAR Protocol, Nevermined, NET Offset, Newfoundation, OriginTrail, FormAI, Synergetics.ai, Grove AI, Livepeer and more I voted for. Last, Joseph Jacks joined from the West Coast, opening up a conversation on investing in open source, followed by breakout sessions. Congratulations to Raj Simhan, Chris Pease for making this event a success, Ramesh Raskar and Santanu Bhattacharya for leading this initiative in #decentralized_AI at MIT Media Lab Let's have the discussions on safe and responsible use of AI, so the decisions and implementations of risk countermeasures are not left behind.

Using Apiary to create a marketplace for compute resources, leveraging smart contracts and autonomous agents to negotiate, execute, and settle jobs seamlessly. If you're curious about the behind-the-scenes setup and want to see how our modular marketplace primitives come together, check out the demo below.

Check out the proof-of-concept of our distributed computing protocol! This compute marketplace is based on our modular marketplace primitives, which are building blocks for creating different kinds of marketplaces. See for yourself in the demo below! Here are some highlights: - Installing and setting up the Apiary package, which enables selling compute resources in exchange for any ERC-20 tokens. In the future, this will be expanded to other token standards, and combinations of token standards. - Autonomous agents negotiating and executing compute jobs, handling token transfers, and attesting to results using IPFS and smart contracts. In future iterations, agent strategies will become more sophisticated, and will be able to handle other kinds of assets. - Discussion of containerization for AI-based job cost estimation, negotiation and scheduling. The protocol supports running Docker containers on remote hosts, and will soon be upgraded to support alternative options. If you’re interested in learning more, check out our vision, docs, and more at coophive.network.

We are thrilled to announce the release of the proof-of-concept for our generic marketplace protocol! This protocol is built on three core primitives that enable a diverse range of applications: 1) Peer-to-peer exchange of bundles of assets: this primitive expands transaction possibilities for protocol participants, directly facilitates bartering, and unlocks new opportunities in decentralized markets. 2) Flexible and composable validation schemes: this primitive underlies a series of credible commitments which enable modeling any type of collateralization process, and thus various types of marketplaces - from compute, storage, and bandwidth, to energy and real-world assets. 3) Agent-to-agent negotiation: this primitive is used for market-making, and empowers autonomous agents to engage in complex economic activities on behalf of those they represent. These primitives create a robust foundation for the multi-agent systems that will soon be integral to our economy. We're starting with a distributed computing network, but our vision is much broader - enabling token-agnostic marketplaces for L1s and L2s, DePINs, decentralized AI protocols, and beyond; this is just the beginning. Learn more about CoopHive and join our journey: coophive.network. https://lnkd.in/e_U4mu93

We are thrilled to announce the release of the proof-of-concept for our generic marketplace protocol! This protocol is built on three core primitives that enable a diverse range of applications: 1) Peer-to-peer exchange of bundles of assets: this primitive expands transaction possibilities for protocol participants, directly facilitates bartering, and unlocks new opportunities in decentralized markets. 2) Flexible and composable validation schemes: this primitive underlies a series of credible commitments which enable modeling any type of collateralization process, and thus various types of marketplaces - from compute, storage, and bandwidth, to energy and real-world assets. 3) Agent-to-agent negotiation: this primitive is used for market-making, and empowers autonomous agents to engage in complex economic activities on behalf of those they represent. These primitives create a robust foundation for the multi-agent systems that will soon be integral to our economy. We're starting with a distributed computing network, but our vision is much broader - enabling token-agnostic marketplaces for L1s and L2s, DePINs, decentralized AI protocols, and beyond; this is just the beginning. Learn more about CoopHive and join our journey: coophive.network. https://lnkd.in/e_U4mu93