Ah, you do say that. Serves me right for skimming!
To start, you could have a company for each domain area that an AI needs to be fine-tuned, marketed, and adapted to meet any regulatory requirements. Writing advertising copy, editing, insurance evaluations, etc.
As for the foundation models themselves, I think training models is too expensive to go back to academia as you suggest. And I think that there are some barriers to getting priced down. Firstly, when you say you need “patents or very-hard-to-learn-or-rediscover trade secrets ”, does the cost of training the model not count? It is a huge barrier. There are also difficulties in acquiring AI talent. And future patents seem likely. We’re already seeing a huge shift with AI researchers leaving big tech for startups, to try to capture more of the value of their work, and this shift could go a lot further.
related: Imagen replicating DALL-E very well, seems like good evidence that there’s healthy competition between big tech companies, which drives down profits.
One thing that might push against this are economies of scope and if data really does become the new oil and become more relevant over time.
Ah, you do say that. Serves me right for skimming!
To start, you could have a company for each domain area that an AI needs to be fine-tuned, marketed, and adapted to meet any regulatory requirements. Writing advertising copy, editing, insurance evaluations, etc.
As for the foundation models themselves, I think training models is too expensive to go back to academia as you suggest. And I think that there are some barriers to getting priced down. Firstly, when you say you need “patents or very-hard-to-learn-or-rediscover trade secrets ”, does the cost of training the model not count? It is a huge barrier. There are also difficulties in acquiring AI talent. And future patents seem likely. We’re already seeing a huge shift with AI researchers leaving big tech for startups, to try to capture more of the value of their work, and this shift could go a lot further.
Relevant: ” A reminder than OpenAI claims ownership of any image generated by DALL-E2″ - https://mobile.twitter.com/mark_riedl/status/1533776806133780481
related: Imagen replicating DALL-E very well, seems like good evidence that there’s healthy competition between big tech companies, which drives down profits.
One thing that might push against this are economies of scope and if data really does become the new oil and become more relevant over time.