Very true. I’m behind the US lens on this one so it’s easier to speak from what I experience. I know it’s… bad… elsewhere.
Very true. I’m behind the US lens on this one so it’s easier to speak from what I experience. I know it’s… bad… elsewhere.
That’s… disingenuous. Lot of stuff happened between those points, including the murder of homosexuals for the crime of existing.
The LGBT community keeps the fight up because complacency gets our rights taken away. Justice Thomas has explicitly stated that gay marriage is on his list of wrongs* to right. To say nothing of Project 2025.
Absolutely. It’s why asking it for facts is inherently bad. It can’t retain information, it is trained to give output shaped like an answer. It’s pretty good at things that don’t have a specific answer (I’ll never write another cover letter thank blob).
Now, if someone were to have the good sense to have some kind of lookup to inject correct information between the prompt and the output, we’d be cooking with gas. But that’s really human labor intensive and all the tech bros are trying to avoid that.
Gradient descent is a common algorithm in machine learning (AI* is a subset of machine learning algorithms). It refers to using math to determine how wrong an answer is in a particular direction and adjusting the algorithm to be less wrong using that information.
Best use I’ve had for them (data engineer here) is things that don’t have a specific answer. Need a cover letter? Perfect. Script for a presentation? Gets 95% of the work done. I never ask for information since it has no capability to retain a fact.
My satisfaction
Ow. What did I do to you?!
Upvote for use of real interrobang alone.
I’ve no significant opinion of India beyond anti-Modi, and that’s a product of John Oliver. Most of my engineering team are Indian and some I like, some I tolerate. And a fear of Indian traffic by reputation alone.
But you could swap “American” with “Indian” in that first paragraph, change nothing else, and it be largely (if not entirely) accurate.
My grandmother was the county coroner for a while. She was a pharmacist professionally. In those places, it’s more “give it a quick kick and say they’re dead” (she never did that) more than anything else. She only declared death, not attribute cause to my knowledge.
The other part of it is that, for whatever reason, in my county the only higher arresting authority than the sheriff was the coroner. It was her job to serve him with papers when he was being sued and, not that it ever came up, arrest him when it needed done.
Weird system.
What, my ~7 paragraphs isn’t simple? /s
You’re correct. I think I was chafing at the systems in question predisposing friendliness to mean modes that I personally am unskilled at or uncomfortable with despite my value.
My problem with your example is that the loner didn’t have comparable value. If it was supporting other things, then it failed. If it was doing something non obvious, it shouldn’t be compared to the support. It feels fallacious, though I can’t name one specifically.
System sight is itself an issue. Many companies evaluate an employee solely on some performance metric, typically tied to money. Because it’s easy (and lazy).
I’ve had several positions where my task was to keep things running. I added no value, I prevented loss. And those positions get screwed because they’re very difficult to quantify worth and very hard to see (and if it doesn’t create money, they don’t care). You only notice them when something goes wrong. Such an employee may keep everything running all year and get a “meets expectations” because there’s an upper limit on how much contribution the system sees, and the system doesn’t want to put in the effort to see better. I may have had to climb over an air handler to get to a transducer to calibrate, but that’s not sexy and even if I report such effort, it’s what I’m supposed to do (even if I wasn’t, weekend nights are weird).
No one is going to write down “keep machine running 80% of the time” because people unassociated with the task will insist that 100% is the expectation, despite that being unreasonable.
A system built of people is not a black box. We can see them and evaluate them based on the task they’re supposed to do, but the evaluators don’t want to put in the effort to do their tasks in a way that means more work for them.
There’s a comment to be made also about scope creep for a position so that a company doesn’t have to hire marketing and engineering if they can get the engineers to do it. Despite them being suboptimal for the task. Something something down with unrestrained capitalism.
Ok. I’ve lost the plot at this point and made my point. Have a good one.
That’s a pretty contrived setup. If the two top components are not factored into the performance of the whole and they are both defined by their ability to improve other components, then the one doing it’s own thing is not, in fact, a top performer. It’s task is to support others and it fails to do so.
And what if the loner’s task is foundational? It doesn’t have much direct output, but if he’s gone and everything else goes to shit? Those ones are very hard to measure. I know, that’s been my job for a good portion of my career. And things like that are common. Expecting a given performer, say an engineer, to also be good at public speaking has always struck me as impractical.
This is my line for biting the bullet and switching to Linux. I hope gaming gets to where I want it to be (braindead easy for anyone with ‘actually’ on their lips)
Absolutely. I’ll poke my head in there when there’s someone on insta who I’m curious to see if they get naked on Twitter. And that’s 100% of my interaction.
When I was taking classes on similar things, ‘human performance’ was generally defined as how well an expert in a given task performed.
These. Also, random celebrity factoids (height, married, dead, etc), how long to get to some town you’ve never heard of, basic math that I’m too lazy to do myself.
Sometimes making it meow to confuse my cat.
Jasmine rice. Makes a huge difference if you like white rice. Tastes like from a restaurant and pleasantly sticky.