next is the model itself: byte-packed int4 weights (4x compression), aggressive Yul inlining, KV-cache streaming for long context each layer brings per-character cost down 2-10x; stacked, the path to a real transformer running at ~5M gas/char on base then the composition unlocks: a quill MoE with three specialised experts (code, news, dialogue), router picks per prompt. the average call is one cheap routing pass plus one expert. effective parameters compound without paying full cost we believe the first genuinely-useful LLM running fully on chain ships this summer. not as a demo, as a default model the registry routes to when nothing else fits the cost of being verifiable is no longer the cost of being useless

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