7,735 karma · joined December 20, 2010
I can't even say that they are wrong.
The EVs lose enough range that they often need to be charged deep into the pack to make it to the next station, which leads to >40 minute charging sessions every 100-120 miles.
Hey, remote work isn't productive, lets go into an office and push all our code to github and deploy to Linux (both largely developed by distributed teams, thankfully without Zoom).
But you are right, organizational and productivity theater dominate at many companies.
Multiple tests have shown this by showing 50% or more range reduction from pulling lightweight, non-aerodynamic loads.
The marketing failure is that the companies have allowed consumers to incorrectly extrapolate from this to thinking that heavy loads in the bed have the same issue. They actually don't as weight is a minimal impact on range.
Unfortunately, every thread about carrying sheetrock, rocks, mulch, etc shows how misinformed the average consumer has become in this space. It has to be a significant impact on sales, given that in the US these are the only heavy loads carried by >50% of the half ton pickups sold here.
We were doing remote work effectively decades ago. Don't have hallway conversations to fix bugs? Easy, just post your problems on the team chat and someone (often one of several people) would love to drop by to help.
I'm not sure exactly all of the forces that have led to this changing so much, but I'm certain that merely blaming "remote work" isn't it.
Somehow we were better at using remote tools while literally in the same office than some teams are at using them now while fully remote.
California's energy problems aren't due to the source of their energy.
Would Python have been able to compete, in a world where Perl could be readily comprehended by LLMs?
So, maybe what killed Perl was lack of VS Code forks and lack of being agentic.
They are great if you have a UI that you want and it needs a plugin system, obviously.
But the benefits become much more marginal for a developer of enterprise AI systems with predefined tool selections. They are actually getting overused in this space, if anything, sometimes with security as a primary casualty.
It really feels like a simpler language and ecosystem compared to Python. On top of that, it performs much better!
Perhaps I could say, it isn't just generated--it is also hallucinated!
One thing that I've found to help a lot is to go to weather.gov and look at the "forecast discussion". Often it will help to understand what types of uncertainties exist within the forecast.
It isn't unusual to see notes that make it really clear that 24-48 hour variations are expected, or that massive differences will exist based upon hard to predict variables. "Hey we think it will rain heavily as far south as X, but actually it might end up staying north of Y in which case X will stay dry"
It is easy to see how hard it can be even if the forecast itself turns out to be fairly accurate at a high level.
It is everyone's information that they value, not that one guy who goes to the trouble of killing the radio.
I mean, are you saying that someone sticking up a few panels+batteries to run an electric fence, gate, and camera system has to have permits?
This all seems strange.