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Thesis14 Jul 2025Why DeAI matters across the AI stack: seven layers from incentives to computeMaps seven layers where decentralization matters for AI: open innovation incentives, verifiable inference, decentralized training, private MPC compute, GPU networks, user-owned models and onchain agent payments. Also frames VLAs as lacking a LangChain-style framework that Codec is building.Breakdown22 Oct 2026Axis Robotics: crowd-sourced robot training data and the AXIS tokenAxis runs a crowd teleop gym behind a 50K+ demo dataset; pi0.5 scored 88.8 vs 83.9 with Axis data, in simulation only. At ~$0.30 and ~$298M FDV on a 16.5% float, AXIS has no fee or buyback sink, so he sees it as priced for success.Thesis16 Sep 2026CODEC: SimArena at TUM's robo.innovate hackathon with 80+ teamsCODEC at ~$6M mcap (2.4x in ten days) as SimArena becomes the simulator for 80+ teams at the 23 to 28 Oct robo.innovate hackathon. Three of eight challenges depend on simulation, and top teams get fast-tracked into The Foundry.
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