That's literally the same chip. With pricing being whatever, who cares which one they revive.

It also was the same chip back then and the price difference significant. But maybe you are correct and with the current conditions it doesn't make a difference. I dont know.

Which problems would that be? Nasdaq crashing by a few percent and a major player to go under. Seems almost inevitable at some point.

And taking everyone's 401ks down with them because of the idiotic rules changes to accommodate SpaceX? Its going to be the largest transfer (theft) of wealth since 2008. AI is the only thing driving any kind of growth in the market at all now. That pops, its going to bring the entire economy down with it.

The vast majority of index funds are float adjusted. SpaceX will not have that many shares available relative to the total value of the company. It's a negligible percent of the overall market cap of say, VTI. This commonly repeated trope is misinformation. The change in rules is more of a problem than the actual value.

At least it seems to not get worse.

That's true. You can just point the agent at a python function and tell it to slap some fastapi around that and spin up a frontend.

It's inevitable. What might be a prosumer device today priced at 4000$ will be a regular consumer device in 10 years and models only get better.

Local models today are fine for a lot of mundane tasks and will continue to be so. The use cases where paying for frontier models is worth it, will continue to shrink for folks not doing frontier work.

> models only get better.

Or stall. Acceleration has been slowing significantly and gains seem to be tied to huge memory footprints.

It means nothing. The LLM thought it was edgy.

LLMs are not yet capable of generating the level of marketing wankery seen here.

What do you mean, that's pretty much everything LLMs generate

"Nothing wasted. Everything intentional."

That's the most ChatGPT line ever, where everything has to be a cringy punchline

"A machine like this should not sit still. It should be pushed. Taken to the edge. Used to make real what others call impossible."

I really hope no human would write something like that

I don't think I've ever seen LLM output as bad as this output. They sometimes write like that, but not every second sentence.

> I really hope no human would write something like that

I see you haven't interacted with marketing people. I can 100% believe that some marketing person wrote the copy.

> I really hope no human would write something like that

Sorry to shatter your hopes but any garbage an LLM writes is mimicry of some human written garbage that came before.

It can only write cringe because we taught it what cringe looks like

> "A machine like this should not sit still. It should be pushed. Taken to the edge."

"Taken to the edge, and pushed off this edge. To garbage bin."

Don't you understand? They fired their marketing copy writers, that's over $550k/year in savings! Imagine how much they can save tomorrow.

Contrast hooks everywhere.

Also RAM was still quite a bit cheaper when the DGX was announced back in early '25.

they also announced a GB10/N1X windows desktop mini PC.

The DGX also contains the 200 GbE networking and linux support.

The ConnectX 7 2x200 Gbps networking card in the DGX Spark alone is worth $700

To be fair the connectx-7 in the spark can't even push 2x200 Gbps since it is connected via 4 pcie lanes.

Technically it's connected via 8 PCIe gen 5 lanes (two 4x connections), allowing ~100Gbps per port.

Thanks for the correction. I should have looked it up; I only remembered it being somewhat odd.

Yes, ConnectX-7 itself is capable of 32x PCIe5 lanes, but the lane limitations of the GB10 SoC/chipset throttle it:

https://www.nvidia.com/content/dam/en-zz/Solutions/networkin....

Laptops will also have to contain a much tighter configuration, display, keyboard, camera, etc ;)

there is desktop variant as well

Not at all. This is a more like what Apple has been doing the past few years. A bunch of decent arm cores paired with a beefy integrated GPU.