Where's the moat around LLMs? 🏰

With LLMs, you don't need a PhD in machine learning to do some pretty amazing things. But doesn’t that mean it will be easy for someone to copy your product? Where’s the moat around LLMs? From my experience, it's actually not so straightforward. There's a really big gap between building a prototype and deploying LLMs in a business context. There are still difficult engineering problems you need to solve when you use LLMs for specific scenarios. Each of these technical problems creates opportunities for building solutions that are difficult to copy. My co-founder recently wrote up some thoughts about this. https://maestroai.substack.com/p... I’m curious about what other LLM hackers think. Are you thinking about defensibility? What are you doing to build a moat?