Gradient
@Gradient_HQ
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Building open intelligence — assembling, scaling, and evolving intelligence collectively.
Joined May 2024
Think open, build open.
🚀 Big shoutout to @Gradient_HQ for making Qwen 235B run on Parallax — the sovereign AI OS we all deserve. Powerful and built for everyone. Watch how they did it in minutes 👇
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If you are looking for any top AI project at Solana Breakpoint, then don’t miss @Gradient_HQ
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Think open, build open.
🚀 Big shoutout to @Gradient_HQ for making Qwen 235B run on Parallax — the sovereign AI OS we all deserve. Powerful and built for everyone. Watch how they did it in minutes 👇
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Gradient on the ground at NeurIPS. Research. Build. Scale. Repeat.
Excited to share our work at NeurIPS this year! 🚀 From the “AI Scientist” discussions to the growing momentum around understanding and evaluating intelligent agents, NeurIPS 2025 clearly shows a shift: we are moving from single agents → multi-agent systems → social
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The definitive guide to DeAI is here. Proud to see Parallax and Echo contributing to the new Age of Enlightenment. Check out the State of AI 2025 report by @MessariCrypto to see where data, inference, training, and agentic economies are heading.
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Feeling inspired to build? Join our Build Your Own AI Lab campaign and start your local AI journey today: https://t.co/jtmhd8J5p5
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Agentx402 by @nikhilHanma Demo: https://t.co/jfJ0qKagJl Repo:
PRESENTING YOU.. Agentx402.. A pay-per-prompt CLI application giving users on-demand access to premium AI models (like GPT, Gemini, and Groq) without the need for monthly subscriptions. BUILT ON solana & x402 protocol..
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ParallaxPay by @shariqshkt Demo: https://t.co/Au9N1iD3Si Repo:
github.com
ParallaxPay is an autonomous AI agent marketplace that enables agents to discover and pay for distributed compute resources using x402 micropayments on Solana, featuring multi-node Gradient Paralla...
10 days of building in pure chaos 💀 Shipped ParallaxPay for the x402 @solana Hackathon AI agents that actually pay for themselves: ❌ Humans handling payments ✅ Autonomous x402 micropayments ❌ Centralized compute ✅ Distributed across @Gradient_HQ Parallax nodes ❌ Fake demos
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Learn Earn by @Hewi333 Demo: https://t.co/gTI7rJG7hK Repo:
github.com
project for solana hackathon. Contribute to hewi333/Solanax402-Hackathon development by creating an account on GitHub.
Friendly reminder, you can just build things for fun. First Hackathon submission to @solana x402 Hackathon. Shoutout to @CoinbaseDev for embedded wallets and @Gradient_HQ for distributed inference. Good luck to everyone who submitted a project! *had to update some front-end
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Huge thanks to everyone who built with Parallax in the @solana x402 hackathon. We received an incredible range of submissions. Here are the winners: 🏅Learn Earn (@Hewi333) An autonomous tutor that teaches x402 and Solana, uses Parallax to grade answers with a 120B model, and
The Solana x402 Hackathon partner track winners are here Builders shipped some incredible projects exploring micropayments, AI agents, and the x402 protocol on Solana. Here are the winners across partner tracks 🧵
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Start your December with a glow. 💫 Join us at #SolanaBreakpoint for some open vibes. See you in 🇦🇪 https://t.co/9ZvCTp44tr
luma.com
Join us for an exciting evening right at Solana Breakpoint 2025! Gradient is thrilled to welcome you to a venue that has gone viral on Instagram — the perfect…
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Had a great time with the @aitxcommunity talking about local AI, open source models, and why we’re building an open intelligence stack. Thanks @jake_oshea @michaeldaigler_ for always organizing awesome events!
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Thinking models are becoming the default. Next, they must adapt to real-world complexities. The focus is shifting to Post-Training. By decoupling training from inference, Echo turns a heterogeneous network into a connected brain for RL, making vertical alignment economically
arxiv.org
Modern RL-based post-training for large language models (LLMs) co-locate trajectory sampling and policy optimisation on the same GPU cluster, forcing the system to switch between inference and...
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Now is your chance to make AI truly yours. Choose your track and upgrade your personal lab with DGX Spark & Mac Minis. Track 1: Share your AI cluster setup on X and tag us. Track 2: Submit your sovereign AI app/agent here: https://t.co/9Lln3Xbvvb
docs.google.com
Local AI applications gives users power over the AI tools they use every day. Join our team at gradient (https://gradient.network/) for the “Build your own AI lab” competition! There are 2 ways to...
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Be Monk. @NoCommas Physics and Geomatics background. Discovered CS through satellite neural nets. Monk scaled the original open distributed system (DNS) at AWS & Azure. Then he moved to Meta & Mysten to build the new coordination layer. "A Turing-complete mind wandering in a
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Be Yacine. @yacinelearning Background: Computational Neuroscience. Focus: EEG, Brain Networks, Consciousness. Then he took that rigorous framework and applied it to the artificial mind. Yacine runs "Deep Learning with Yacine", where he dissects Transformers, Embeddings, and
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Be Vik. @vikhyatk 9 years at AWS building distributed systems. Then he decided to open-source vision for the edge. Vik launched Moondream: a compact VLM trained by just two people, and it became the default SOTA for local-AI. He builds models that run on the devices you
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