LLM's and Supply Side Limits
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Scarcity of Resources is a Rule.
LLM's are built by ingesting huge amounts of available content. In this first iteration, the LLM's ate all the publicly available content that is available, regardless of their right to have, copy and distribute it. Protection was limited or non-existent for it's owners.
LLM's have current knowledge ( if you can call it that ). But like any life-long learner, AI will need new content to stay current.
That can be seen in action when a company who wants to use AI must first 'train' it with proprietary information before it will be useful.
General purpose LLM's must train on new trends and new creative content as well.
What happens when content creators become better at protecting their work from capture by the LLM's? The models will necessarily stop learning and be stuck in the past - much like that high school buddy who never left the 90's.
Past copyrighted work may be lost for all practical purposes, but going forward, new work can - and should - be protected. Once effective strategies and technology is available to protect new works from unauthorized capture, then business model for AI companies will have to change. LLM's will compete for new content and pay for it in order to be competitive.
The AI/LLM vendors who can make this transition first, will be the ones who survive.
It may not be a great comparison, but consider Napster and iTunes. Who survived?
