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quantal-ternary: a 0.5B model that learned honesty — from 11.34 to 0.5597
PeetPedro
• Dipankar Sarkar PRO
dipankarsarkar
AI & ML interests
Building the AI-native stack. Agents as infrastructure, safety as architecture, performance as plumbing. I publish the receipts: papers, datasets, demos.
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OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling published an article about 3 hours ago
quantal-ternary: a 0.5B model that learned honesty — from 11.34 to 0.5597 upvoted a paper about 4 hours ago
ADIAS: Automated Design of Interactive Agentic SystemsOrganizations
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The cheap oracle is lying to you: from GPU kernels to agent rewards
dipankarsarkar
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