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The codebases are free, but the training sets are not. To have intelligence like you see in GPT-4 you need a lot of training data that is expensive to put together.
Honestly if I, the underdog, want to utilize AI for my goals by best bet is to pay $20/mo for the AI from OpenAI.
I thought the main obstacle was the computing power to update 175 billion neurons with large datasets. You probably could generate a good llm just using Wikipedia, but I think it requires a room full of expensive video cards to do.
Isn't training data simply data? If a community were to agree to pool their data together to enable the AI, wouldn't that bypass the cost issue? Or is this one of those situations where the amount of data required thoroughly demonstrates how much businesses have arguably stolen from the public, and in turn no community may produce sufficient data to enable their AI tools to the same degree?