LLM RUNS ENTIRELY ONCHAIN VIA SOLANA SVM

Summary from the TLDR Crypto newsletter

The first LLM inference run executed as pure onchain Solana transactions, with model weights, activations, attention calculations, and token outputs each processed as standard SVM program calls and no off-chain compute involved. The Solana Virtual Machine served as a general-purpose ML compute substrate, making every inference step an auditable, verifiable ledger entry rather than a trusted black-box computation. This removes the off-chain intermediary that underlies most current AI agent and oracle architectures, where inference results are attested after the fact rather than proven in place. If per-inference costs compress to practical levels, the pattern enables a class of trustless on-chain AI agents whose reasoning is natively verifiable by any party reading the chain.