https://preview.redd.it/awcmb8nyk1qh1.png?width=822&format=png&auto=webp&s=0c2980e8b85c47a1f606d69c145685949e01b459 feels like we are hitting a massive threshold where central model safety guardrails just do not scale well once these systems get autonomous execution power. in prod environments, this gets real fast. as models handle broader autonomous workflows, relying on the model provider alone for alignment checks is a single point of failure. the industry needs to decouple orchestration from local execution. we ran into this exact challenge building out complex agentic pipelines internally. we used sumus for top level planning, while delegating raw terminal and repo access strictly through claude code on isolated local runtimes. this allows us to coordinate multi step agent tasks without giving an autonomous llm blanket write access to production or unrestrained cli execution. everything runs with explicit scoped permissions and diff reviews before any execution touches main. if models are going to keep evading high level system prompts or safety layers like this report highlights, the real safety boundary has to live at the infrastructure and runtime level, not inside the prompt context. curious how other devs here are sandboxing multi agent setups in light of these disclosures. submitted by /u/TrainAmbitious7928
Originally posted by u/TrainAmbitious7928 on r/ArtificialInteligence