yeerya 解析 Cerebr：浏览器训练，电路可 eval 复验yeerya Explains Cerebr: Browser Training, Circuits Replayable via eval()
社区成员 yeerya 发文介绍 NetLayerLabs 的 Cerebr：它并非把大模型搬上链，而是把一个「判断」编译成可复验、其他合约可复用的 TapeOut Circuit。训练在浏览器完成，得到的阈值神经网络被编译成 NAND/LATCH 网表，再流片为链上电路；相同输入必须得到相同输出，第三方可用 eval() 重放验证，其他电路还能通过 REF 将其当作公共零件继续组合，用于钱包或 Agent 执行动作前的公开校验。Community member yeerya wrote about NetLayerLabs' Cerebr: rather than putting a large model on-chain, it compiles a single small "judgment" into a TapeOut Circuit that anyone can re-verify and other contracts can reuse. Training happens in the browser; the resulting threshold neural network is compiled into a NAND/LATCH netlist and taped out as an on-chain circuit. The same input must yield the same output, third parties can replay it with eval(), and other circuits can compose it as a shared part via REF, for public checks before a wallet or agent acts.
