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mo-root/README.md

Moin Mattar

CS at Dartmouth. I build world models you can act inside: diffusion models that keep their physics well enough to run as simulators, plus the agent harnesses around them.

Open source: open-kb, live at open-kb-demo.vercel.app. PR-monster and videos2robots are coming.

Prediction markets: I rebuilt four months of Polymarket from raw on-chain OrderFilled events, 929M trades, then ran SybilEdge (Breuer et al., WWW '20) over it to tell skilled wallets from noise. OpenWhale wraps that in a local-first agent that paper trades under fixed guardrails. Both are private for now.

Talks: MA'AT · diffusion map completion.

moin.mattar1@gmail.com

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  1. open-kb open-kb Public

    Plug in one domain. Get a full market map and a knowledge graph that plugs straight into your agent. Agents search the job instead of the brand name, read every host's own page, and cite it.

    TypeScript 11 1

  2. AI_CODING_AGENT_in2hrs AI_CODING_AGENT_in2hrs Public

    GRPO + LoRA post-training for code generation, plus SimpleCoder: a CLI coding agent with tool use, RAG, context management, and permissions.

    Python

  3. DP DP Public

    MA'AT: action-conditioned world modeling for billiards and snooker with VAE latent compression, diffusion transformers, and diffusion forcing.

    Python

  4. Robots_diffusion_planner Robots_diffusion_planner Public

    Diffusion-based map completion for frontier exploration. A robot imagines the floor plan it hasn't seen, and explores smarter because of it.

    Python