This is next step to Qwenputer perhaps the step that shouldn't have been taken but here it goes Qwen writes a Bend program, then the same model type checks it with Bend2 rules and runs it inside its own forward pass There is no interpreter, compiler or tool call just like qwenputer. The whole CPU is 53M non zero hand-set weights inside the model To see how it works: https://github.com/voidash/qwenbend/blob/main/docs/HOW_IT_WORKS.md TLDR; Qwen writes the bend program and at , the engine takes over and every next token is one executed instruction 16 register CPU with 8k *32 bit RAM = Gated DeltaNet Logic = SwiGLU unit as AND gates You get your tokens first lexer walks and builds bend2 lexemes compile pass on subset of bend2 (bendlite) rules which checks types, affine and termination if violations nothing runs else we run evaluations which is built using a return stack and operand stack Why? For Lols... There is absolutely no reason. However Gated Deltanet with swiGLU allows for whole computer to exist inside a model. the original guy has built Qwenputer, run LLM inside LLM and i thought formal verification   submitted by   /u/Affectionate_Hat_585 [link]   [comments]