Putting my tin foil hat on... Sam Altman knows the AI train might be slowing down soon.
The OpenAI brand is the most valuable part of the company right now, since the models from Google, Anthropic, etc. can beat or match what ChatGPT is, but they aren't taking off coz they aren't as cool as OpenAI.
The business models to train & run models is not sustainable. If there is any money to be made it is NOW, while the speculation is highest. The nonprofit is just getting in the way.
This could be wishful thinking coz fuck corporate AI, but no one can deny AI is in a speculative bubble.
It honestly just never occurred to me that such a transformation was allowed/possible. A nonprofit seems to imply something charitable, though obviously that's not the true meaning of it. Still, it would almost seem like the company benefits from the goodwill that comes with being a nonprofit but then gets to transform that goodwill into real gains when they drop the act and cease being a nonprofit.
I don't really understand most of this shit though, so I'm probably missing some key component that makes it make a lot more sense.
A nonprofit seems to imply something charitable, though obviously that's not the true meaning of it
Life time of propaganda got people confused lol
Nonprofit merely means that their core income generating activities are not subject next to the income tax regimes.
While some non profits are charities, many are just shelters for rich people's bullshit behaviors like foundations, lobby groups, propaganda orgs, political campaigns etc
ai is such a dead end. it can't operate without a constant inflow of human creations, and people are trying to replace human creations with AI. it's fundamentally unsustainable. I am counting the days until the ai bubble pops and everyone can move on. although AI generated images, video, and audio will still probably be abused for the foreseeable future. (propaganda, porn, etc)
That is a good point, but I think I'd like to make the distinction of saying LLM's or "generic model" is a garbage concept, which require power & water rivaling a small country to produce incorrect results.
Neural networks in general that can (cheaply) learn on their own for a specific task could be huge! But there's no big money in that, since its not a consolidated general purpose product tech bros can flog to average consumers.