221–230 of 485 posts
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Isn’t every country by definition a “local monopoly on force”? Sweden and Norway have their own militaries and police forces and neither would take kindly to an invasion from the other. By your definition this makes them adversaries or enemies.
If you are getting at the fact that it is sometimes beneficial for adversaries to collaborate (e.g., the prisoner dilemma) then I agree. And indeed, both Norway and Sweden would be completely lost if they declared war on the other tomorrow. But it doesn’t change the fundamental nature of the relationship.
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Why does that matter? They wont be making at home graphics cards anymore. Why would you do that when you can be pre-sold $40k servers for years into the future
Because Moore's law marches on. We're around 35-40 orders of magnitude from computers now to computronium. We'll need 10-15 years before handheld devices can run a couple terabytes of ram, 64-128 terabytes of storage, and 80+ TFLOPS. That's enough to run any current state of the art AI at around 50 tokens per second, but in 10 years, we're probably going to have seen lots of improvements, so I'd guess conservatively…
if you base your life on Kurzweil's hard predictions you're going to have a bad time
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No… Nobody I work for will touch these models. The fear is real that they have been poisoned or have some underlying bomb. Plus y’know, they’re produced by China, so they would never make it past a review board in most mega enterprises IME.
People say that, but everyone, including enterprises, are constantly buying Chinese tech one way or another because of cost/quality ratio. There’s a tipping point in any excel file where risks don’t make sense, if the cost is 20x for the same quality. Of course you’ll always have exceptions (government, military and etc.), but for private, winner will take it all.
How will the Google/Anthropic/OpenAI's of the world make money on AI if open models are competitive with their models? What hurt open source in the past was its inability to keep up with the quality and feature depth of closed source competitors, but models seem to be reaching a performance plateau; the top open weight models are generally indistinguishable from the top private models. Infrastructure owners with acce…
For a sufficiently low cost to orbit that may well be found in space, giving Musk a rather large lead. By his posts he's currently obsessed with building AI satellite factories on the moon, the better to climb the Kardashev scale.
Well props to them for continuing to improve, winning on cost-effectiveness, and continuing to publicly share their improvements. Hard not to root for them as a force to prevent an AI corporate monopoly/duopoly.
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Yeah that’s not how Big Enterprise works… And most startups are just doing prompt engineering that will never go anywhere. The big companies will just throw a couple of developers at the feature and add it to their existing business.
Big enterprise with mostly private companies as their clients? Lol, yeah, that’s how they work from my personal experience. The reality is, if it’s not a tech-first enterprise and already outsource part of tech to a shop outside of NA (which is almost majority at this point), they will do absolutely everything to cut the costs.
Before that I spent 6 years working between 3 companies in health care in a tech lead role. I’m 100% sure that any of those companies would I have immediately questioned my judgment for suggesting DeepSeek if had been a thing.
Absolutely none of them would ever have touched DeepSeek.
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So much worse for American companies. This only means that they will be uncompetitive with similar companies that use models with realistic costs.
I can’t think of a single major US company that is big internationally that is competing on price.
All tech companies offering free services.
How will the Google/Anthropic/OpenAI's of the world make money on AI if open models are competitive with their models? What hurt open source in the past was its inability to keep up with the quality and feature depth of closed source competitors, but models seem to be reaching a performance plateau; the top open weight models are generally indistinguishable from the top private models. Infrastructure owners with acce…
> Infrastructure owners with access to the cheapest energy will be the long run winners in AI. For a sufficiently low cost to orbit that may well be found in space, giving Musk a rather large lead. By his posts he's currently obsessed with building AI satellite factories on the moon, the better to climb the Kardashev scale.
Earth based computers benefit from the existence of an atmosphere to pull cold air in from and send hot air out to.
A space data center would need to entirely rely on city sized heat sink fins.