Psyche is a system that enables distributed training of transformer-based AI models over the internet, aiming to foster collaboration between untrusted parties to create state-of-the-art machine learning models. It leverages a peer-to-peer distributed network for communication and data sharing.
Democratizing AI: The Psyche Network Architecture - NOUS RESEARCH
Psyche is an open infrastructure that democratizes AI development by decentralizing training across underutilized hardware. Building on DisTrO and its predecessor DeMo, Psyche reduces data transfer by several orders of magnitude, making distributed training practical. Coordination happens on the Solana blockchain, ensuring a fault-tolerant and censorship-resistant network.
Introducing The Psyche Network
Leanstral: Open-Source foundation for trustworthy vibe-coding | Mistral AI
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
mindsdb/minds
General-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud).
Mesh-LLM/mesh-llm
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
INTELLECT-2: The First Globally Distributed Reinforcement Learning Training of a 32B Parameter Model
Today we are launching INTELLECT-2: the first 32B parameter globally decentralized Reinforcement Learning training run where anyone can permissionlessly contribute their heterogeneous compute resources.
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Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Generative artificial intelligence (AI) and machine learning (ML) models are being adopted across a variety of domains. As these technologies develop, there is notable diversity in their levels of availability and paths of diffusion. For example, fully closed-source models may be available through chatbots and API calls, but their weights, source code, training data, and other artifacts remain hidden from view. In contrast, open models make some or all of these materials publicly available for developers and downstream users.
Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI
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Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
The New SDLC With Vibe Coding
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Yneuro | The startup behind Neuro ID®
Imagine a world where technology and human experience blend seamlessly. At Yneuro, we’re building that world. As pioneers in neurotechnology, we craft AI-driven software solutions that transcend global barriers. Celebrated in startup ecosystems and competitions, Yneuro is redefining digital interaction, making advanced technologies intuitive and accessible for everyone. Join us as we merge technology and human cognition, creating unprecedented possibilities.
DeepSeek_V4.pdf · deepseek-ai/DeepSeek-V4-Pro at main
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The Applied Machine Learning Collective of the Rockies
We're building a hands-on, community-led space where AI/ML practitioners actually grow together. A modern guild where newcomers learn from journeymen, journeymen sharpen their skills alongside experts, and everyone works on real problems that matter.
Building a Solidarity Ecosystem for AI (SSIR)
How cooperatives, public institutions, and social movements can come together to intentionally build a practical, community-owned alternative to extractive AI systems. <meta property=
Bonfire
A federated social network for individuals and communities to design, operate and control their own digital lives.
Bonfire
A federated social network for individuals and communities to design, operate and control their own digital lives.