@RoKhanna Can they issue stock to be held in the US Wealth Fund for at least five years? That seems more reasonable if the Fund cannot, under any circumstances, be used by politicians for war, welfare, or expansion of power. It can only be used to pay down the existing debt.
@jota_snchez Almost all of this is a theory of success taught by someone who couldn't be successful himself. Why would anyone listen to him?
I do want his whiteboard though.
The entire AI industry doesnt make sense to me. Why would fro tier model developers give it to us for $200 a month if it can build enterprise level software that people would purchase? Wouldn't they just build it themselves?
Check out a VERY early release of Telos on our website. A lot left to do on the composition side of things, but research and responding with what it knows works fairly well. It can also build tools to complete tasks on its own by researching and compiling in real time.
Telos is a thinking and reasoning engine, not an LLM. No weights, no training needed, no GPUs. It thinks about the user's intent, researches when it has gaps, and gets smarter and better with every prompt. All of the information in human existence already lives on the net. Your model doesn't need it all at once and you probably will never need 99% of it. Why train it that way in the first place?
@Austen He is a special person, but not perfect. I don't like the sycophants. AI in space is not smart. He might make money on the short run. Thats not the same thing as being smart about AI.
SpaceX putting AI processing in space makes a fatally bad assumption which is that the current attention based architecture is the best, most efficient way to give people access to the compendium of human intelligence in a logical way. We have a much better way
AI satellites are stupid. Maybe the dumbest thing Elon has ever conceived. Just fix the earth based scalability. Thats what I am working on. It's working at scale and is equally good to Chat GPT from a couple of years ago already. Runs on regular CPUs and is nearly instantaneous. No tokens. No scalability issues. It thinks first, finds the answers online, learns, and produces a result in under a second. Run on your cell phone securely and privately.
No need for data centers on earth, much less in space.
@paraschopra Why does it need to be trained on all human knowledge if it is more than a next token predictor. If it were, the engine core would just get information as needed, like humans do.
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