Without reading the article, as a practicing AI Engineer here’s a couple of easy best practices:
deleted by creator
Sorry about the ttrypo.
I could really go for some Æthermelon right about now.
Your Chiropractor sounds like they’re equally credentialed in thermodynamics as they are in medicine.
Cyberpunk 2077 spoiler:
Jackie Wells. Damn that broke me up; the whole buildup in Act1 to that scene was so artfully done. So immersed. Really felt like I lost my anchor and best friend in that fucked up life.
I’ll ride his Arch til the day I can’t. Not a scratch.
Up
N=1, confounding lifestyle variables not disclosed. Causality denied.
Highlander, Inc. Where There Can Only be OneTM.
Can you explain the math of the Millenium Falcon’s Kessel run record next?
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.
I like to splurge on a Shackshackshack from time to time.
Voting for Democrats isn’t even voting for the Left anymore. More Rlite.
Oh they fucking know. Say it with me:
Wealth Inequity
I don’t think anyone really hates Jo Millionaire. Jo, the master electrician that lives down the street and employs 5-10 electricians from apprentice to employee-master is a millionaire and contributes positively to their local community. Creating jobs through helping people with their electrical projects, spending in the local economy, etc. And that’s a realistic goal for their apprentices to aspire and work towards.
Unfortunately that’s who republican voters think they’re voting to support.
But they’ve been duped; they’re actually voting to support the Billionaire Aristocrats of the world who pull up the ladder behind them through monetary influence of politics and not paying a damn dime on their ‘income’ (because they’re “borrowing against” their unfathomable hoard).
“They” know why the voters and disenfranchised and that’s their fucking plan—because it keeps them employed and wining and dining fancy with their Aristocrat puppet masters.
You mean working half-time? The material practically writes itself as soon as Donnie T. gets involved.
You can scan before the encryption step. It defeats the purpose of the encryption such that only the privileged actor gets plaintext while everyone downstream gets encrypted bytes, but technically it’s possible.
It’s only a matter of time until a vulnerability in the privilege is found and silently exploited by a nefarious monkey, and that’s precisely why adding backdoors should never be done.
Send it with a trebuchet.