So what you're saying is, you don't have a business.
You have a bunch of venture funded criminals looking to eventually sucker teacher pension funds and other investors with an IPO and laugh all the way to the bank.
So what you're saying is, you don't have a business.
You have a bunch of venture funded criminals looking to eventually sucker teacher pension funds and other investors with an IPO and laugh all the way to the bank.
Umm, this does not answer the question if they still have a business *after* they compensate copyright holders (i.e., including all costs and other legal business model requirements)
In the context of the NYT lawsuit it was insinuated they were in discussions which evidently did not pan out.
How a mere algorithm class (such as #llm) leads to a business is non-trivial. Google could not sell "search IQ" on the basis of their #pagerank, they sold ads.
@bjmendelson
That's a caricature , there are all kind of problems and risks with generative AI / LLMs but regardless it's an important and society changing technology , ofcourse OpenAI and others have business, it's just the matter of people getting compensated for use of their data/content
@SandraDeHaan
@phiofx @bjmendelson @SandraDeHaan
...the bottomline is generative AI is here to stay in one form or another, businesses will have a role , so in my view it will be just a financial negotiation with content producers/publishers, it's not more complicated then that. In the meanwhile the legal part will go slow and the development of generative AI goes fast.
Financial negotiations don't always conclude if the gap is too large to bridge. This may well be the case if one of the two parties thinks it is not viable to pay/receive what the other is able to offer and be still a profit making business.
The legal system being slow creates dubious tech business models with potential expiry date. This is happening belatedly in the data privacy space, with behaviorally targeted adtech on quicksand, at least in the EU
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