3) Buy all the RAM, increasing the barrier to entry to push back the tide a bit, in time for a juicy IPO.
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4) Make it illegal to use anything but regulated models.
License the training corpus and encourage copyright suits against outputs from models trained on unlicensed corpora.
This won't work if the courts decide that training is fair use, which certainly seems the direction they are going.
Output is a separate issue from training. Courts will never decide that a identical copy spit out by an LLM is non-infringing simply because it went through an LLM stage. Copyright laundering is wishful thinking by tech folks.
I like to think of llms as seamless plagiarism machines.
Why illegal, just pass these 3000 pages FAA-level certification, export controls and KYC. We're free country, after all!
pretty much what altman and amodei mean when they say 'safety'.
Then they will leave the huge advantage in cost to the competition, I mean their customers competitors.
Hard to fathom how US companies will not want to use the cheaper option when EU and Asian companies can.
a: If making it illegal fails, make it a Federal procurement requirement to use regulated models. Come up with an audit standard that only fits regulated models. Watch the preference trickle down.
Buying all the RAM can't work forever. Scarcity increases prices, high prices increase supply, improves RAM R&D budgets, and forces users to find ways to economize around low RAM availability.
It doesn't need to work forever. You just need to delay your competitors long enough that you can IPO to great fanfare, and then leave retail investors holding the bag. Founders and big investors get to cash out, everyone else gets screwed.
I doubt that works today. Look at SpaceX the fanfare lasted 3 days before most of the insiders could offload to the retail bag holders. That AI company had the benefit of being attached to the largest technical moat.
The existing AI companies can't even prevent their moat from being distilled by the Chinese token reselling industry.
This is what it feels like they went with.