peopleproblems

Well, right. Because it proved to investors how much of the world uses Microsoft’s products.

Whether or not it is a good product is of no relevance.

Ironically, the stupid expensive high-end laptops that pretty much can only be purchased through corporate agreements are quite impressive.

I don’t anticipate this worsening their consumer level products though lol

No idea. But i didn’t know how hard it is to work when no one can check emails and calendars lol.

Zoom, Starlink, Google, Service Now, AWS, AT&T to name a few.

Its way more than Microsoft. Someone fucked up again lol.

Yeah. Much better in fact.

Took a while.

But now I have a much kinder, smarter, hotter, younger (but only 4 years younger I just think its funny to add) girlfriend.

I meant the arrogant-pathological-narcissitic psychopath.

She did pull a knife on me a couple of times after all.

Which, coincidentally, describes my ex wife.

HAHAHAHAHAHA WHAT DID I SAY YESTERDAY?

I said yesterday this story gets wilder and wilder.

I can’t wait for the rest of the stories this week.

TBH nVidia probably said “alright, fuck it, lets make the ethics a bigger story and maybe it will bury the legal issues we’re facing and stop the stock drop.”

I said yesterday this story gets wilder and wilder.

I can’t wait for the rest of the stories this week.

Idk what kind of flak im going to get for this… but why?

As far as I can tell, the smuggling was done because the chips were export restricted. The hardware is export restricted because it enhances signal intelligence capabilities. The enhancement is purely due to efficiency. The technique of using nueral networks for sigint isn’t novel.

The hardware could be reverse engineered, but China is still far too behind on chip fab quality to make use of it.

Like, quite frankly, this is a stupid smoke and mirrors show to attempt to make AI-related hardware “extra special.”

Like… we can do what the hardware does on existing GPUs that aren’t export restricted. So I guess I don’t get why China would spend the assets trying to acquire the chips, and why the chips are exported restricted in the first place. If I was China, I would have laughed in the face of the export restrictions, bought every single GPU post 2023 I could get my hands on, and just run my sigint program through that.

Like, yeah, you’re going to consume a lot more power to get the same results, but you will still get the results.

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We do use AI to do it. A lot, actually. And the AI hardware boom has been amazing to all sorts of large dataset studies.

But once we find a pattern, we have to find why the pattern exists.

Anti-intellectuals out themselves. Altman is one.

Science isn’t about the answer. Its about the process. Anti-intellectuals vehemently argue until they are blue in the face that the end result is all that matters.

That’s what we should be worried about? Not the billionaire pedophile authoritarian rapist threatening to nuke Iran because an election isn’t going his way?

Edit: ok, so, here’s my deal. Yes you can be worried about multiple things. But fear is meant for things that are life threatening. None of your anxiety is wrong, just in my mind this is much more of a frustrating thing rather than worrisome.

I’d have to look way more into it, but from what we were looking at, DGX spark is made with the intent of scaling from local development to datacenter execution. From memory the Mac Studio was an extremely beefy workstation.

Both serve the purpose better than whatever my laptop’s RTX ADA 2000 can produce lol

Nothing consumer grade - I’m talking about nVidia DGX.

$6k for the cheapest might seem expensive to a lot of people, but for an engineer with stupid amounts of data and a 1.2kW power draw, it’s insanely affordable from corporate perspectives.

That’s the best way to describe this.

And nVidia is now selling hardware for local models specifically. For cheap.

There is a clear winner in the AI race and its hardware makers. To me, its almost like Jensen Huang calculated this outcome quitea while ago, and fed into the bubble with the loans to the software companies.