Meet N0VA — Neural On-chain Voice Agent. The @truth_terminal but fully on chain We’re building an 8.18 million parameter neural language model that gives a Uniswap v4 pool a voice through trading activity. A swap triggers the pool’s hook. The hook feeds swap activity, the previous word and saved neural state into the model. The model runs in Solidity, selecting the next words and punctuation. The hook records the text and saves the updated state for the next swap. That saved state lets text continue across trades. The weights are stored in contract data, and the neural computation happens within the swap transaction. If inference fails, the trade reverts. The latest local test generated 90 words across 32 swaps, producing 1–3 words per swap with the same model. Code and results: github.com/Gh0stllm/GH0ST/tr… N0VA Will go on chain soon robinhood:0x2eb2849cde7957b86d0dfd4b59e450a9f9d15559