Yes, and in so doing, payed down their debt.

MELTDOWN incoming… Trump FURIOUS! Don’t forget to LIKE and SUBSCRIBE for more SUPERFLUOUS content. 110% not clickbait.

The online version will remark free and available. The in-person, for credit course is being discontinued. Unless you are an incoming Harvard student, this won’t affect you.

You stop that, my first digital text message was on irc. I’m not ancient yet. :)

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Octopuses wouldn’t wear shoes so the math doesn’t add up.

Now spiders—spiders would wear some stylish kicks you know, not just any $5 shoe.

You misspelled pencil in this context. I believe you meant “a fuckin’ pencil”.

Your Chiropractor sounds like they’re equally credentialed in thermodynamics as they are in medicine.

Up

Militech, Arasaka, Netwatch, Biotechnica. And Mr. Kim’s Greater Hong Kong.

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And you just reminded me of a movie from a show and let’s just say I recommend both.

https://youtu.be/X1DcKBwliAw

Anything Goes!

My use case will be to remove the looping bland house music from tech product demos. I really don’t understand why every tech company needs to make me feel like I’m at a club when I’m just there to learn about a new feature in their product and how I can use it.

Sure, but $120k is definitely not FAANG-tier base comp in SF. Not even close. Maybe it’s on the low side of scrappy startup/scaleup comp.

The UPS driver that delivers to my home office a bag of electronic goodies every week couldn’t care less about what OS I use. I mean I even tried to tell him about all the awesome Minty Pops and Arches and all he had to say was “that Fedora looks fucking dope, bro. Say, do you listen to Hannah Montana?”

They might try. They’ve already tried to legislate a definition of pi to equal exactly 3.

I use cloud computing to run a lot of my computer stuff. Not a PC. I self-host some services on a home-server. Also not a PC. I can install a GUI on these if I want and RDP into them, still doesn’t make these PCs.

I can use my personal laptop as a server if I want (and I have!) with remote-access enabled; so it is both a PC and a not-PC?

I think we have to settle on PC being usecase-driven; not hardware-defined. Which is what I think you were trying to get at, but abstracting too far.

That’s fair. I see what I see at an engineering and architecture level. You see what you see at the business level.

That said. I stand by my statement because I and most of my colleagues in similar roles get continued, repeated and expanded-scope engagements. Definitely in LLMs and genAI in general especially over the last 3-5 years or so, but definitely not just in LLMs.

“AI” is an incredibly wide and deep field; much more so than the common perception of what it is and does.

Perhaps I’m just not as jaded in my tech career.

operations research, and conventional software which never makes mistakes if it’s programmed correctly.

Now this is where I push back. I spent the first decade of my tech career doing ops research/industrial engineering (in parallel with process engineering). You’d shit a brick if you knew how much “fudge-factoring” and “completely disconnected from reality—aka we have no fucking clue” assumptions go into the “conventional” models that inform supply-chain analytics, business process engineering, etc. To state that they “never make mistakes” is laughable.

Absolutely not true. Disclaimer, I do work for NVIDIA as a forward deployed AI Engineer/Solutions Architect—meaning I don’t build AI software internally for NVIDIA but I embed with their customers’ engineering teams to help them build their AI software and deploy and run their models on NVIDIA hardware and software. edit: any opinions stated are solely my own, N has a PR office to state any official company opinions.

To state this as simply as possible: I wouldn’t have a job if our customers weren’t seeing tremendous benefit from AI technology. The companies I work with typically are very sensitive to CapX and OpX costs of AI—they self-serve in private clouds. If it doesn’t help them make money (revenue growth) or save money (efficiency), then it’s gone—and so am I. I’ve seen it happen; entire engineering teams laid off because a technology just couldn’t be implemented in a cost-effective way.

LLMs are a small subset of AI and Accelerated-Compute workflows in general.