Relying on one model is risky. We layer them to balance strengths and catch...

https://medium.com/@gashomor/i-run-five-ai-models-in-one-chat-heres-what-multi-model-ai-actually-is-6a1bb329d292

Relying on one model is risky. We layer them to balance strengths and catch failure modes, adding necessary redundancy. But watch out. Blind synthesis often hides dissent or leaks data across providers. Know when to keep outputs separate.