Three Decentralized AI Innovators Unite for Open-Source Mixer at ICML 2025

Vancouver, BC – Three prominent entities in the decentralized artificial intelligence (DeAI) space, Akash Network, Gensyn AI, and Pluralis Research, are set to host an open-source mixer on July 17 at 7:00 PM, immediately following the conclusion of the ICML 2025 expo. The event, dubbed "<Model Citizens> Mixer for Open-Source Professionals," aims to foster collaboration and networking among machine learning professionals and open-source developers within the decentralized AI community.

The mixer, announced by Amanda on social media, serves as a key gathering point during the International Conference on Machine Learning (ICML), one of the leading global academic conferences in machine learning. > "Join the @akashnet_, @gensynai, and @PluralisHQ teams for an open-source mixer tomorrow at 7:00 PM after the ICML2025 expo ends," the tweet stated, inviting attendees to connect with leading minds in the field.

Akash Network operates as a decentralized marketplace for cloud computing, often referred to as the "Airbnb for compute." It enables users to rent GPU or CPU resources from a global pool of independent providers, offering a cost-effective and censorship-resistant alternative to traditional cloud services. Akash has significantly expanded its focus to provide high-density GPU power optimized for AI and data workloads, including real-time AI inference, generative AI applications, and machine learning training.

Gensyn AI is building a robust protocol for machine learning computation, aiming to create a global network for machine intelligence. Their platform is designed to facilitate the execution, communication, verification, and coordination of machine learning operations in a programmatic and permissionless manner across various devices. Gensyn's work is critical for enabling scalable and decentralized AI model training and deployment.

Pluralis Research is pioneering "Protocol Learning," an innovative approach to training and deploying AI models in a fully decentralized way. This method allows for the pooling of compute resources from numerous participants, incentivizing their contributions while preventing any single party from gaining full control over a model's weights. Pluralis seeks to create a truly open and collaborative pathway to frontier-scale AI development.

The joint mixer underscores a growing trend of collaboration within the decentralized AI ecosystem, highlighting the collective effort to democratize access to computing resources and AI development. Such events are crucial for fostering innovation, sharing knowledge, and building the foundational infrastructure for a more open and distributed future of artificial intelligence.