Sheesh, I sat in an open plan office in 2008, and we had ergonomic chairs and wide desks and widescreen monitors even then. IT privilege, I suppose.
Sheesh, I sat in an open plan office in 2008, and we had ergonomic chairs and wide desks and widescreen monitors even then. IT privilege, I suppose.
What is that article picture? A bunch of 4:3 monitors, people sitting on unpadded wooden chairs, shoulder to shoulder? What kind of office hellpit is that?
4 Bitcoins for an 8th? Bargain!
Man, I wish I had the time to burn 60 hours on a game I don’t enjoy.
I’ll leave you with two links:
https://tvtropes.org/pmwiki/pmwiki.php/Main/Flanderization
https://tvtropes.org/pmwiki/pmwiki.php/Flanderization/LiveActionTV (search for Scrubs there)
Careful, don’t get sucked into the TVTropes website, it’s a black hole.
Eh, Scrubs suffered a lot from trying to find ways of keeping the characters somewhat together and on the hospital. Also, even if not relevant to the topic, flanderization utterly fucked Scrubs from season 5ish onwards.
I just asked GPT-4:
What’s 7 * 8 divided by 10, to the power of 3?
Its reply:
Let’s break this down step by step:
First, multiply 7 and 8 to get 56.
Then, divide 56 by 10 to get 5.6.
Finally, raise 5.6 to the power of 3 (5.6 * 5.6 * 5.6) to get 175.616.
So, 7 * 8 divided by 10, to the power of 3 equals 175.616
Well, if I try to use Photoshop to calculate a polynomial it’s not gonna work all that well either, right tool for the job and all.
The fact that LLMs are terrible at knowing what they don’t know should be well known by now (ironically).
These LLMs generally and GPT-4 in particular really shine if you supply enough and the right context. Give it some code to refactor, to turn hastily slapped together code into idiomatic and well written code, align a code snippet to a different design pattern etc. Platforms like https://phind.com pull in web search results as you interact with them to give you more correct and current information etc.
LLMs are by no means a panacea and have serious limitations, but they are also magic for certain tasks and something I would be very, very sad to miss in my day to day.
It’s a language model, I don’t know why you would expect math. Tell it to output code to perform the math, that’ll work just fine.
Bard is kind of trash though. GPT-4 tends to so much better in my experience.
I’m in Germany and almost every avocado here is a bad avocado. Two things I really miss from California: avocados and dispensaries. Things I don’t miss: strip malls and cars for everything.
Oh the thought police is here, best think my best thoughts.
My assumptions shouldn’t matter to the owner. If you deep clean your work horse every night I’ll have my own opinions on that, but what does the owner mind what I think, it’s not like I’m gonna key their car.
Hey, if I see a pickup that looks like it’s doing work (some grime, work equipment, etc.) then more power to the owner. If it looks like it just got the third layer of wax done, maybe not so much.
If your juiced up Dodge RAM or this Ford monstrosity is all shiny, no speck of dirt in sight, then it’s not a work vehicle and the original assumption probably applies.
“This door plug still has a lot of nubs left, I should really file them off. Eh, what’s the worst that can happen…”