Your mental energy deployed at work is not so dissimilar: keeping some in the tank gives you the option to deploy it strategically, rather than risking your health (burnout) when something unexpected comes up.

If you join a group in one of these games with a player who is bad at managing their mana, you’ll also find that they’re not such great teammates, either.

I was age 19-23 during that period (in the "highest impact" age group from the article), and I think I used my phone more for coordinating in-person social activity than anything else at the time. Additionally on that—iPhones were not widespread in my cohort at the time, even at an expensive private college with many students from upper income families.

The smartphone market appears to be affected as well: https://www.reuters.com/world/china/global-smartphone-market...

Arguably the risks of the MDM should be assessed and mitigated with some kind of defense in depth approach—highly sensitive things like bulk wipe disabled with multi-person approval required to re-enable, hardware MFA requirements, anomaly detection + alerting for weird behavior, etc etc. I'd argue the risks stem more from badly configured MDM where a compromise of one sysadmin's browser has a company-wide blast radius, rather than the fundamental presence of device management itself.

I do agree, though, that for any type of surveillance, the rise of AI presents a really problematic opportunity to allow more targeted observation, since nobody has to spend their own time looking for what people are doing, they can ask an AI to keep tabs and look out for the things they care about.

On that note, I think one of the more realistic risks for an everyday person doing personal things on a work machine is probably insider threat from a rogue IT admin, whose access allows them insight into company devices without enough oversight.

This has bitten me a couple of times, and it’s surprisingly annoying to nudge agents into good/resilient patterns or identify situations that should fail loudly, at least in my experience. The retry mechanisms they come up with on their own are often pretty terrible as well.

I’ll note, though, that I have seen this from human engineers plenty of times, and at least the AI usually adds some logs rather than just totally silently absorbing an exception!

Through the lens of a car being the only way that anyone you know has ever gotten around, parking is sort of a strict necessity. "How can you go anywhere if there's nowhere to park when you get there!?"

Meanwhile in the time since these laws came to be, we've roughly tripled the number of miles Americans are driving while the population has grown ~60-something percent, so there's more competition for street space than ever, people are spending tons of time in traffic/looking for parking, which creates a scarcity dynamic that freaks people out about any proposed changes.

The idea that getting some people to use other transportation modes could improve the daily experience for people who genuinely prefer to drive doesn't really click, either, because there's no frame of reference for getting around outside of a car, it's an abstract concept that people would actually do it. Even for people who've visited transit-rich/walkable places but never lived in one, there are often conceptual gaps—like the cadence of getting/carrying groceries, or the idea that bus/subway trips replace car trips 1:1, rather than the bus being a link between walkable areas.

In theory this ensures that any one business doesn't put undue strain on the local supply of parking spaces, but in reality I think it creates a sort of feedback loop that hollows out walkable downtowns/village centers, in favor of sprawl, where a car is required for 100% of trips (which in turn further increases demand for parking).

Some of the work in that direction like Cerebras or Taalas have been doing is an interesting glimpse of what might be possible. In the meantime it's a fun thought experiment to wonder about what might be possible if even current state of the art models were available at like, a million tokens per second at a very low cost.

The "Search Partner network" in general is one of the ways that Google Ads milks (scams?) unsophisticated buyers: unless you turn it off, you're paying for ads that are shown to confused users on sketchy results pages that you have no real insight into, not just the Google results page itself. The traffic from them is garbage.