Pascal2_22./
@Pascal2_22
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Community Contributor @Gradient_HQ Building the future of Open intelligence. Advancing OIS stack: ./ Open AI for Sovereign Future
Accra, Ghana
Joined August 2023
while simultaneously, training runs on optimized clusters offering a clean architectural separation.
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Echo isn’t just another RL framework — it’s the clean architectural separation, flexibility that makes large, diverse environments practical and scalable for next gen AI alignment. Read more:
gradient.network
Echo decouples inference and training to scale reinforcement learning across distributed, heterogeneous consumer hardware.
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• Real performance: distributed inference on consumer grade devices feeds high-performance training without sacrificing convergence or quality.
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• Scalability unlocked: inference generation scales independently from training throughput, removing the choke point that distresses co-located RL systems.
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Echo is a distributed RL framework that decouples inference from training at scale. • Infra Era shift solved: environments need massive execution and feedback loops. Echo’s dual swarm architecture lets inference run on a global, heterogeneous inference mesh
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Currently, the traditional RL infrastructure model hits a core bottleneck: inference and training contend for the same GPU resources, throttling throughput and scalability. Echo by @Gradient_HQ offers a clean break framework model.
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In the pretraining era, scale meant internet text. In supervised fine-tuning era, it meant human conversations. Now in the RL era, scale means rich environments for interaction.
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🎙️ Exclusive Interview | Eric Yang @0xEricYang , Co-Founder of @Gradient_HQ We sat down with Eric Yang to discuss how decentralized AI on Solana is challenging Big Tech’s control over compute and why GPU access is becoming one of AI’s biggest bottlenecks. Full interview coming
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TL;DR: Imagine an AI that lives with you — private, free, and truly yours, not sitting in someone else’s data center. Think Open @Gradient_HQ @tryParallax
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🔷2025: Open-source LLMs explosion. The shift to agentic AI and deeper reasoning begins, with builders taking control. 🔷2026 and beyond: Inference moves to open intelligence. Parallax serves AI everywhere — decentralized, local, and sovereign.
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🚀The AI Timeline – Where We're Headed 🔷2023: This year was the breakout year of generative AI models that moved from research labs into everyday use. 🔷2024: Explosive adoption. Multimodal AI matures, and AI weaved into products and workflows across virtually every domain.
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Why we built Symphony 🧐 (and why multi-agent systems can’t stay in the cloud) We just open-sourced Symphony.👏 In one line: a decentralized multi-agent system that actually runs on real devices. 💪 Not giant clusters. Not a single central brain. Think RTX GPUs, Jetson
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Chinese electronics maker Xiaomi open sourced Mimo v2 flash. Inference speed at 150 token per s, costing as low as $0.1/0.3 per token input/output Benches on par with Deepseek v3.2, GPT 5 high The race is on
⚡ Faster than Fast. Designed for Agentic AI. Introducing Xiaomi MiMo-V2-Flash — our new open-source MoE model: 309B total params, 15B active. Blazing speed meets frontier performance. 🔥 Highlights: 🏗️ Hybrid Attention: 5:1 interleaved 128-window SWA + Global | 256K context 📈
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⏰ Deadline: Dec 25 Mystery rewards + community spotlights await. Let’s see your festive creativity
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Huge congrats to the winners of the Parallax competition! We were blown away by the creativity and technical depth of the submissions. From massive local clusters to distributed AI apps, you pushed Parallax in ways we didn’t expect. Here are the 8 winning projects. 🧵
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Season’s greetings from the Gradient community team! Be honest… who’s actually more chill - snowman or capybara? ☃️🧸 @Gradient_HQ @gokuoldskool
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Iykyk. Parallax is the true definition of distributed sovereign ai👀
~70% of AI workloads are inference and most of that can be handled locally. @prompt48 breaks down how Parallax turns local machines into a sovereign inference cluster, running large models across heterogeneous hardware. Privacy and performance without centralized infra.
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Today 7:45 pt, AM ready
Open mic with builders, judges, and Parallax core devs Let's talk local AI. Dec 15 • 7:45pm PT
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Iykyk👿
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