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I, for one, am one of those people. However, after watching a few minutes of the linked video, I'm convinced (and pleasantly surprised) that Caleb has firm grasp on his design, and honestly sounds like he was the driving force behind his own particular implementation.


This. Thanks for taking the time to watch the video to form your own opinion!


Worth noting: Andy Slye did an in-depth real-world analysis of his Model 3 for the first 10k miles: https://www.youtube.com/watch?v=x0MjZOR89Fk

He got $0.0206 per mile. Much lower than the article's estimates.


Wow! I'm having flashbacks to Ishkur's Guide to Electronic Music.


Implementation is really nice, actually. The display automatically switches to a white on black mode and the brightness is automatically regulated.

You can override either display setting (day/night and brightness) manually, if desired.

Given that it's an LCD, the performance is quite surprising. The blacks are very black. Just take a look at the set of controls at the bottom, is near impossible to see where the controls end and black bezel begins.


Would have to mostly agree here, but it's trading time spent at one place for time spent at another. (Disclosure: I'm a Chevy Volt owner, so I have the option of both EV charging and gasoline, on rare occasion).

I recently saw someone make a valid point (IMHO) that I hadn't given much thought in the past: The time spent a DC chargers is somewhat offset by lack of stops at a gas station. Assuming you stop for gas once a week, and it takes 5 minutes to fill up and go... that's around 4.3 hours you spend at a gas station every year.

On the other hand, you may spend time at a DC charger during long road trips, but you don't have any obligation to stop at a location to recharge during normal commutes, since you simply charge overnight at home.

In other words, you have to stop for gas every X miles in an ICE vehicle, but you may have to stop for a recharge in an EV (usually for long road trips).


Yeah but that's neglecting the time it takes to plug and unplug your car every night/morning. I'd say it takes about 15-30 sec for each action. If you do this once per day to make sure you're topped off, and you drive 30 miles per day, you get about 50 miles of charge per minute of your time.

A typical gas pump fills at 9 gallons per minute, plus 2-3 minutes to pull into the pump, swipe your credit card, etc. If you have a 15 gallon tank and get 30 mpg, that's about 5 minutes for about 450 miles, or about 90 miles per minute of your time.

Tesla should start selling their robot charging snake thing to aleviate this.


If your range is 325 miles (Model 3 LR), charged 90% max you don't have to plug in more than once a week, depending on your commute.

Also, people calculating road trip "stop time" seem to forget that when you leave on a multi-day roadtrip, there's usually a oh-crap-I-haven't-changed-my-oil-in-forever stop, and a "fill up before I get on the road" stop. Both of which are not needed before you take off with an EV. You'll leave on your with a full "tank" without the "lets gas up for the trip" stop, and when you return, you again have a full tank the next day without the "damn I'm empty and have work tomorrow so better fill up again" stop.


More like 3 seconds to plug / unplug.


Plug-in hybrid is best of both here, assuming you have a charger either at home or work, you will increase time between fueling, and you can go on a road trip without worrying about range.


Good insight! Really rings true when the guy "faxes" from the beach. They had the foresight for ubiquitous remote access, but not for a modern messaging platform. :)


Yep. Look at look at a side-by-side comparison a Model 3 from about a year ago (Premium Interior) vs. today (Partial Premium Interior). In the first few frames, there's a notable improvement in the body tolerances around the frunk. https://www.youtube.com/watch?v=cSIC6zvQy5Y


Recently started using CoreOS for Docker Swarm, and it seems really promising. I wonder how this compares?


Really good question. The short version is that CoreOS is a generic container based distro. Talos is not. It is designed with the goal of making a machine a Kubernetes node in a fast and reliable way. We don't use systemd, but a pure Golang init that is Kubernetes aware.


Not sure if you're referring to cube theory or just the ability to solve... If it's the former, almost anyone can learn to solve a Rubik's cube in a few days (albeit in a non-optimal fashion). It's a matter of learning a handful of algorithms for each layer then executing. It can quite a fun way to keep the hands busy while thinking, like crocheting or knitting.


I am talking about cube theory. Solving it isn’t that hard unless you want to be super efficient. But formalizing it in way you can then reason about seems very hard to me.


Ryan Heise's site is a good place to start with this:

https://www.ryanheise.com/cube/theory.html https://www.ryanheise.com/cube/fundamental_techniques.html

From there you should have enough of an understanding to start Googling things, playing with a cube, and Learning the Heise method: https://www.ryanheise.com/cube/heise_method.html


Is solving it not that hard?! I chipped away at it for a year before I figured out a (really inefficient) technique.


I remember after a few weeks I figured out a move that could swap two pieces without other changes or something like that (don't remember the details). It was horribly inefficient but it did the job.


Betteridge's law of headlines!


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