

McDonald’s stopped using beef tallow for fries in 1990. I suppose that might be relatively recent if you are an elf.
McDonald’s stopped using beef tallow for fries in 1990. I suppose that might be relatively recent if you are an elf.
Part of the issue will be convincing the decision makers. They may not want to document a process for deviation x because it’s easier to pretend it doesn’t occur, and you don’t need to record specific metrics if it’s a generic “manual fix by CS” issue. It’s easier for them to give a support team employee (or manager) override on everything just in case.
To your point, in theory it should be much easier to dump that ad-hoc solution into an AI knowledge base than draw up requirements and budget to fix the application. Maybe the real thing I should be concerned with is suits using that as a solution rather than ever fixing their broken products.
I think there’s good potential where the caller needs information.
But I am skeptical for problem-solving, especially where it requires process deviations. Like last week, I had an issue where a service I signed up for inexplicably set the start date incorrectly. It seems the application does not allow the user to change start dates themselves within a certain window. So, I went to support, and wasted my time with the AI bot until it would pass me off to a human. The human solved the problem in five seconds because they’re allowed to manually change it on their end and just did that.
Clearly the people who designed the software and the process did not foresee this issue, but someone understood their own limitations enough to give support personnel access to perform manual updates. I worry companies will not want to give AI agents the same capabilities, fearing users can talk their AI agent into giving them free service or something.
They are almost certainly not actually working that much though. Look up the recent Massachusetts state police overtime scandal.
I’m pretty sure this is just how people try to manipulate Trump. He responds to flattery, and this almost makes it sound like Trump would be weak to do nothing.
There are certainly stories of overzealous enforcement, but the context of Loi 101 and its amendments is worth considering.
Québecois is really interesting. It has a lot of old, outdated French in it due to the colonial connection with France being severed hundreds of years ago, where it evolved distinctly and the locals made different decisions on what to change and how to adapt to new concepts.
One could argue the French government has been obsessive about policing language much longer with the académie française.
From what I’ve read, 65+ was about evenly split Harris-Trump in 2024. 40-64 broke decidedly Trump. If the markets (and 401ks) manage to bounce back by the time the 40-64 cohort largely enters retirement, I fully expect they will have learned absolutely nothing.
I saw a local restaurant with its branding on it the the other day. Well, there’s one restaurant I never need to try.
Yep. He wasn’t really reviewing the nuts and bolts, just the drive experience. I didn’t get the impression he got a ton of time with it and only spent an afternoon puttering around. It felt below his standard honestly for thoroughness.
It’d be interesting for one of these games to have realistic planning and permitting mechanics.
“Your permit is delayed a week because the only person at City Hall who reviews them is on vacation.”
“To add a 6 ft fence, you need to go before the local planning board and convince them it’s necessary. You can reduce the height to 4 ft to avoid this.”
“The power company installed the meter on the wrong side of the house. They will relocate it for $10,000, and the earliest appointment is in three weeks. If they don’t, you have to relocate the HVAC unit and reroute the ductwork to account for that. Further, the electrician will charge $9,000 to adjust the wiring for the different meter location.”
The fragmenting of teams needs more attention. My group uses a follow the sun model that has our team split up across at least seven countries, plus a decent chunk are always contracted through a vendor. Add in remote workers, and it’s very difficult to see an effective way to organize.
So this is what Cardi B was talking about.
It was re-established after Franco.
I think it is part of making government agencies ineffective to prove their ideology that these agencies should be abolished and replaced with private companies (or not at all). That way, they can say come election time, “See? Government can’t do these things well. We should eliminate these agencies.” Many people will forget they are also the reason the agencies are shitty.
They have tried this with underfunding them in the past mostly. This is a much more direct approach.
That was my thought also. Trump getting rid of a legal gender distinction altogether by accident would be hilarious. I hope he stands his ground and insists it’s not a mistake.
As far as company material, at least public facing, you’re entirely correct. It’s almost exclusively corporate speak rather than anything useful. That’s not unique to DEI, though, and convincing corporations to make their public HR content more exact when they’re not quoting the law is unfortunately pissing up a rope.
DEI is not a singular method. It’s a larger framework in short concerned with certain outcomes. A number of different methods may be part of DEI at a particular place. I think you are driving at a salient point in that the grammar used with it can give that impression. It’s easier to speak about in a way that isn’t repetitive by using shorthands, and there’s definitely danger there that uncurious people not willing to have good faith discussions like we are will make assumptions.
Conquering that is going to be difficult because it’s a larger linguistic issue common to many unproductive politicized topics. I hate that a lot of discussion time is taken up by essentially semantic arguments rather than substantive ones. I’m not sure how to solve for that because language almost always creates more generic categorizations to lump similar but distinct ideas to save time. To your point, by its nature that introduces vagueness.
For me, the lesson needs to be to seek depth where something seems disagreeable but has vagueness, especially ideological labeling. I wish that was a realistic ask for all people. It has made me change my opinions a lot over the years as I’ve learned more—not necessarily dramatically, but it has tempered them with nuance.
That’s certainly a fair point. Though, there is a difference between complaining about what something actually is versus what some supporters may desire. Not sure I see much distinction made from the grumbling crowd when they cry DEI hire.
My opinion on that matter isn’t a simple yes or no. If we could realistically make significant progress undoing generations of institutional racism purely looking at socioeconomic background, I’d be much closer to no. Socioeconomic background is not really a checkbox that many companies are willing to suss out, however, since it requires a lot of effort and has many dimensions.
The hope with using it as part of decisions is that, since in aggregate a race or gender may have statistically worse representation, you’ve got increased likelihood of a hit than going in blind. But if a company is achieving the same results going on their metric of socioeconomic background, that’s sufficient to me.
I’m sorry if recognizing the complexity of the situation leads to bad perceptions, but I’m not going to pretend the world is simple to appease those who are not interested in nuance. My interest is in achieving outcomes and frankly we don’t have the knowledge on which methods are most realistic and effective. I can’t make a hard decision about something without that.
I’d really like for there to be a mostly agreeable method of evaluating socioeconomic background that companies would be willing to implement and have real A/B testing. That’s total fantasy considering how the world works, though that is why I don’t take a hard stance that there’s one way to work at it.
It starts when the popcorn begins to cool enough that both it’s safe to ram mouthfuls and it’s a race against the clock to finish before it becomes cold.