gradient.networkEcho-2: Unlocking the Second Scaling LawTL;DR: Problem: High training costs stall research iteration. Post-training a 30B model costs thousands per run on standard clouds. Solution: Echo-2 decouples centralized learning from distributed rollouts, using async RL with bounded staleness to ...Feb 12·6 min read
gradient.networkOpen Sourcing Parallax: Your Sovereign AI OShttps://arxiv.org/abs/2509.26182 Why this matters First things first: we want your personal AI agents to be sovereign. It should not upload everything it sees to a giant centralized cloud. What it learns about you should live as a portable local me...Oct 28, 2025·9 min read
gradient.networkIntroducing Parallax: The World Inference EngineIn the dynamic realm of AI, large language models (LLMs) are driving groundbreaking advancements, from conversational chatbots to agentic workflows. We stand at a pivotal moment, grounded by two axioms that increasingly define the trajectory of AI sy...Jun 19, 2025·7 min read
