firebones

Out of curiosity, what was their primary technology background before being expected to use/learn React?

Also known as "Chesterton's Fence". Before you tear down a fence, understand why it was put there in the first place.

On OSX, I wrote an installable startup daemon that logs the current window, and for browsers, captures the URL from the address bar, and logs it to a file. The sampling can be whatever period you decide, but you have to write your own analytics. I haven't made it generally available, but it was a pretty quick project to capture the basic data.

Here's the basic outline:

* Bash script that uses lsappinfo front to figure out what has focus * log the time, the app name, and other useful data

* If the current app is a browser, then branch on the browser type and "return URL of" the front tab or current document depending on the browser

* Echo whatever you want to capture to STDOUT

Then write up a startup .plist file to install and log the output.

Impressive.

But am I wrong to have my hackles raised by a) the roll-your-own security nature of this, b) the reliance on a single developer's single stack implementation as what guarantees the integrity of the system? It seems like there are a lot of assumptions baked in.

I, too, would love to see a more detailed write-up--if there's a big idea here (almost a unikernel thought), it deserves to be shared and tried by fire.

What's an example of a good news website that uses Jekyll or WordPress?

Not necessarily disputing your second paragraph's financial/economic points, but if you're owning apartments (and managing them) or have a medical practice, you're not retired. That does say to me that a lot of this early "retirement" mythos is merely a euphemism for "non-traditional career downsizing." Nothing wrong with that.

Assuming 0% inflation or a real return on the $1M well above 4%, no health issues, no change in expenses, no massive drawdown in the market in year one, etc.

Build a spreadsheet that has "expected return" (e.g., 1.06) and inflation (e.g., 1.03), annual expenses, taxes, starting principal, and then project out the annual rate of return net of expenses + taxes for 30-60 years from age 30. You will be surprised at how soon $1 million seems like nothing. Keep in mind that both expenses and returns can see shocks (not to mention taxes) that put you in a situation where "be below your earnings" assumption goes underwater and the compounding effects work against you rather than for you.

All I'm saying is this: be prepared that 5-20 years into your super-early retirement that you're kicked back into the job market--so have skills and a reasonable path for where you're going to come back into the market. It's not really a coincidence that many of these early retirement lifestyle gurus are supplementing their decisions via the job of competing for eyeballs as bloggers.

If you're talking KC's Boulevard, which beers, and what recipes? I haven't noticed a decline, although I'm not a beer snob. Occasionally more variance, but not anything out of the ordinary compared to the past. The only dud I recall is when they messed up that Chocolate Ale a few years back and gave up on the idea.

And some would argue the same for hospitals.

I'm not who you are asking, but this book https://www.amazon.com/Mathematical-Experience-Phillip-J-Dav... hits some of the philosophy of math. It's been a long time since I've dipped into it, but IIRC, it puts mathematical discoveries and exploration into more of a cultural and philosophical context. I could see this being sampled for a good crossover course that would cover humanities requirements for STEM, and STEM requirements for humanities.

The intersection of tourist attractions and entrepreneurs winging it when it comes to engineering and safety reminds me to the recent Verruckt incident in Kansas:

https://en.wikipedia.org/wiki/Verr%C3%BCckt_(water_slide)

0.9% exists to get people into cars (aka, volume) who otherwise might not come through the door + add origination fees + attract the type of people who are likely to incur late payment fees. I would guess at a macro-level, the effective rate is much higher and more than offsets the 1.5% difference between safe treasuries. Lots of people buy based on "what would it take you to get into this car" monthly payments rather than TCO, so if you're a cash buyer and can safely arbitrage the interest rate difference, you're probably the exception.

I suspect the local sales guy pockets any loan origination fees; the automaker is just paying that as commission for the actuarial likelihood that the people who finance will default at a rate that still makes it profitable when taking into account the benefits of maintaining low inventory in a given model year.

I wonder if it is like some of the automobile airbag failures and recalls--latitude matters since problems turn out aggravated by heat/humidity.

This is a good example of a case where engineering from first principles, especially around user experience for driving, can lead to making the same mistakes again (e.g., autopilot naming, and potentially issues related to consistent braking performance found in the Consumer Reports review.)

But, but, but...why does Twitter have so many engineers? I could write Twitter in a weekend!

--95% of anti-TWTR posters circa 2010-2016.

The luck isn't in the timing--as others point out, even bad timing leads to impressive gains over long time periods if there's a steady stream of periodic investments. The "luck" comes from winning a genetic lottery that allows you to live to 96 with no major bankrupting health crises or other situational losses, and to be well off enough early in that timeframe to have excess to invest.

Dare I say that after hammering away for 6 years with no profitability, it's not the $2.19/day in LLC tax that's bleeding him dry, it's the fact that the market is sending him a message about his offering.

In a family with radically diverse genetics, and radically diverse oral health outcomes seemingly independent of oral care: congratulations on hitting the genetic lottery!

(x) hey, but let's put this BS on the road anyway (xi) something, something "Fight Club" math anyway

Or "better" (for some value of better), join the data to something identifiable (e.g., the public records you listed) before developing models for everything you want to retain, then discard the original data once your deep enough net has effectively auto-encoded whatever you wanted to retain in an identifiable manner.

Great point. What's the over-under on a road-worker death when autopilot plows through a confusingly-marked construction zone at 70MPH?

This is true, to the extent that the selection of input parameters to simulate provides coverage over the domain of all possible input parameters. At some point you're back to testing the failure of imagination of the simulation/test creators.

You're onto an important theme: so much of driving is really about group communication--everything from signaling to anticipating behavior based on your own past actions, to waving people through intersections or slowing down to let someone merge or speeding up to make your intent more clear, or hanging back when the traffic gets stupid, or avoiding drivers who seem irrational.

That's why I think the real self-driving car problem is a very special case of the Turing Test--one that might be more difficult to win or solve.

1. Pedantic much? I didn't know we were talking strict city limits rather than metro area.

2,3: Your references make it sound like you last sampled the market in tech in KC in 2001, if Sprint is your benchmark for KC tech employers.

KC isn't as good as it could be, but it's a heck of lot better than when Sprint was the only game in town.

Did you time travel from 2000 to make this comment? Garmin, Cerner and DST are nearly twice Sprint's market cap. KC is nowhere near its potential, and it's no Austin (nor Omaha), but come on, Sprint's heyday was long ago.

Out of curiosity, which part? CO is very appealing as a worker.

It's hard making this point if you don't have access to capital, but if the talent is comparable, doesn't this represent an opportunity to go after an idea with above-average talent through simply paying globally-optimal market rates and pricing out the competition for talent?

It seems that there's an opportunity here to incubate ideas at a discount globally by "overpaying" locally.

Are there VC funds that are exploiting this? And I don't mean simply by making margin on the back of exploiting the CoL adjustments, but by drawing on regional talent pools with lower CoLs? I'm shocked there isn't more innovation coming from the upper midwest hub that lies along the belt connecting UICU, Purdue, CMU, etc.

A lot of the graphs in the paper seem to level out as they hit the level of the opponent. It makes me wonder to what extent AlphaGo Zero is merely optimizing to beat flaws in existing opponents' current implementations (even if "existing opponents" == all available opponents' data and algorithms today) rather than generalizable insights into the underlying game. Because wouldn't you expect that unless we are at the theoretical limit of perfect chess that a tabula rasa approach might exceed existing best practice significantly, especially with the massive computation advantage it has?

Not that there's anything wrong with that; AlphaGo Zero supposedly optimized for the "just enough" win rather than the crushing win. It doesn't even mean Stockfish is doomed--I suspect Stockfish could beat it in a future heads up match provided that Zero didn't have time to retrain, but that a retrained Zero (having the benefit of optimizing against a new Stockfish) would be able to supersede it once again.

You refer to "Exponential Growth Cascade Failure" games. Is there a TVTropes for board game mechanics?

I wonder if there's an interesting dynamic there in a board game, where if the pace of complexity is high enough, being out of the game could become a tactical advantage. Maybe that cant work without omniscient or perfect information for those out.