NinjaTrance
Is it viable to start/stop it multiple times per day?
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What a terribly designed language.> Nvidia is literally paying for datacenter construction, which means paying other companies to buy their chips.
Does Nvidia pay more than it receives from datacenter construction?
> A great website to bookmark and keep an eye on is: isaiprofitable. At the bottom, you’ll see that Nvidia (selling pans, shovels, and blue jeans) is the only company making money.
Have you considered that:
1) There are many other companies making a lot of money? Examples: NVIDIA, Micron, TSMC, Broadcom, AMD, SK Hynix, ASML...
2) The hyperscalers (Google, Microsoft, Amazon) are profitable?
I say that because the word "reason" originates from the Latin word "ratio," which means "calculation".
LLMs do calculations to produce their answers -- thus, they reason.
But I don't see why it couldn't replace thousands, with design/content factories.
So it could be 99-99.9% (leaving all the money for the top 0.1%).
There was an old joke among designers that their biggest competitor was the boss' nephew playing with photoshop.
Now they need to compete with the boss' nephew playing with AI.
But even without that, AI-generated text is already better than what most humans can write -- particularly when they need something fast, cheap and good.
(It might not be "excellent" -- but humans wouldn't be able to make it fast and cheap...)
I suppose human artists will continue to exist, but they will be like chess players: they will continue to exist simply because they love art, but they won't be able to compete with AI.
ETA: less than 2 years.
Do you think you will find good artists working for that fee?
I don't think so, unless they are working to prove a point -- that humans can be as good as AI.
And that's the problem:
Humans can be as good as AI, but they are much more expensive.
That should be pretty obvious to anyone who ever created a chatbot using the top LLM APIs:
You can send the same question 1 million times to the same API, and it won't get tired from answering it. But if you simulate a conversation where the same question is repeated 10 times, it will auto-complete the text in a way that seems human. However: you can manipulate it by changing the conversation history; you can reset, roll back and branch the conversation at any point.
But the UI is worse.
Linux users also agree that Finder sucks.
Why would they ignore all the lessons learned between 1984 and 2001?
That's the reason why most people complain about Finder today.
MacOS (the OS) is much better than Windows.
But MacOS (the user interface) is worse than Windows (or even Linux).
Red/yellow/green buttons to close(?)/minimize(?)/maximize(?) windows are usability hell.
Once internal muscle memory is established, the usability problems can be easily dismissed; but for the rest of us, who got used to better file managers, Finder is atrocious.
As a Windows user in the 90s, Linux user in the 2000s, and Mac user since the 2010s, I dread the moments when I have to use Finder.
> Australia does order that personal information collected for age verification “must be destroyed once all purposes have been met.”
So the article is not really defending privacy; it's simply defending social media. (Under-16s are an important demographic they don't want to lose).
That said, the article is forced to concede:
> Australia does order that personal information collected for age verification “must be destroyed once all purposes have been met.”
Let's repeat:
Social media MUST DESTROY all personal information collected for age verification.
But let's be honest: if you really value your privacy, you shouldn't be using social media.
They are still focusing on "catastrophic risks" related to chemical and biological weapons production; or misaligned models wreaking havoc.
But they are not addressing the elephant in the room:
* Political risks, such as dictators using AI to implement opressive bureaucracy. * Socio-economic risks, such as mass unemployement.
And I hope we will eventually reach a point where models become "good enough" for certain tasks, and we won't have to replace them every 6 months.
(That would be similar to the evolution of other technologies like personal computers and smartphones.)
Didn't we make subtle mistakes without AI?
Why did we spend so much time debugging and doing code reviews?
> Are you really being more productive (let’s say 3x times more)
At least 2x more productive, and that's huge.