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CLASSROOM-SOTA training spec — ring-of-teachers distillation for the quantal brain
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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liked a dataset about 2 hours ago
agentic-moral-alignment/mtma liked a dataset about 2 hours ago
Escanor77/engosoft-local-code-agent-eval repliedto their post about 2 hours ago
Your issue tracker is in the wrong place.
It lives on a server. Your code lives in git. So every time an agent picks up work it makes an API call, burns a token, fights a rate limit, and still cannot see what the other agent just did.
Move the issues into the repo. Append-only event log in git refs. Branches when you branch, merges when you merge, CRDT so two agents never conflict. No server, no database.
The coordination signal that PR-level telemetry misses lives before the pull request. The paper, and a live demo running the real tool:
https://huggingface.co/papers/2606.19616
https://huggingface.co/spaces/neullabs/grite
If your agents share a repo, where does their shared state actually live right now?Organizations
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Article
quantal-ternary: a 0.5B model that learned honesty — from 11.34 to 0.5597
PeetPedro
• published an article about 2 months ago
Article
The cheap oracle is lying to you: from GPU kernels to agent rewards
dipankarsarkar
• • 2