Bah. You need at least 7 to get a close enough shave. https://www.kroger.com/p/bromley-s-for-men-get-a-grip-razor/...

Toughbooks are not fashionable and look like tools.

Macbooks are supposed to look like jewelry.

In a way, Toughbooks are the exact opposites of MacBooks.

A phone battery is 3.8 volt. No worry, right?

Good point. I don't know much about these things. Are the radio transmissions from a phone stronger? I would expect so, but don't know.

When you were a young little nerd old timers were saying "such a shame modern computers don't have LEDs showing the individual state of each bit of the control registers like our mainframe did. Computers these days are so dumbed down. Users can't even see where the instruction pointer is which is so useful to get a feel for what the hardware is actually doing"

Sure, but I think it's fair to say that feedback has gotten too minimal when you have to put sleep(10) all over your diagnostic processes because there is no other way to tell if the computer/app is laggy or dead.

You also need memory bandwidth, that's harder than just quantity.

The words AI and LLM do not appear on this page.

> With 48GB GDDR6 memory, RTX 5880 gives data scientists, engineers, and creative professionals the large memory needed to work with large datasets and workloads like rendering, data science, and simulation.

I wonder what else might need this much memory...

Chrome with seven tabs open?

There's some work being done in GPU-accelerated fluid/smoke simulations, like Axiom for Houdini[1] - but to be honest, it seems like the AI use case is very heavily implied. Most simulations are still being done via CPU/RAM.

[1] https://www.theoryaccelerated.com/