infinotize

What is the point? He must know that Trump won't win.

Yep - in NYC, there are no public deals. The price always has literally everything baked into it. If it seems low, there is definitely a good reason.

Well, really, who cares how quick it is? For the average Tesla buyer the speed upgrade is mostly a novelty. Just because it can accelerate doesn't make it a hypercar, sportscar, or even sports sedan alternative. What really makes this option is the range, which is really outstanding.

NYC broker fee problem will really take a generation until the existing stakeholders literally die out. The deeply entrenched real estate industry here has no incentive to change. Not all, but many (most?) no-fee apartments are new construction "luxury" buildings (luxury == not 30+ years old) that handle leasings themselves, and always have very high rents.

Edit: You _can_ find other no-fee aparments but it will in general severely restrict your choices; the odds of looking for an apartment by normal criteria (location, size, condition, amenities, price, etc) and stumbling on a no-fee listing are low.

What makes you choose Go over Python for simple services and utility scripts? (I'm just learning Go but would heavily lean towards Python for those things)

> Twitter ... 82 percent of MAUs are mobile. Weibo ... 89 percent of MAUs on mobile.

7 percent. Stop the presses.

Article then compares Weibo's growth with Twitters. More or less, Weibo is Twitter, X years behind. And then there's the kicker, which solidifies the click-baity-ness of the article:

> Twitter ... which is blocked in China

When I saw this thread title, I clicked and immediately Ctrl+F'd for 'amber.' Great read in general.

Matt Levine's column had a good commentary on this (the headline at least), among other things.

http://www.bloomberg.com/view/articles/2016-08-03/tamed-bank...

"Whoa, whoa, whoa. I like to be nice enough to the Help so that I can pat myself on the back. But let's not get ahead of ourselves and let these people fight for higher wages, which might impact my costs!"

Oh that's cool, I'd never heard of it. I'm surprised there doesn't see much momentum in the area, although maybe there is a good practical reason for it.

Agreed, particularly in an urban setting. In NYC the streets are quite literally with small to medium trucks, which are all almost certainly in violation of noise and pollution requirements. A fleet-type electric medium duty truck with swappable batteries would be awesome and I think governments should be bending over backwards to incentivize them.

I've been losing to the AI fighter pilots in DCS:World[0] for years.

[0]: https://en.wikipedia.org/wiki/Digital_Combat_Simulator

Re: prometheus vs influx: There's a small thread with a few comments by the influxdb ceo and some Prometheus devs here [0], mainly on use case and philosophy. See also [1], although this is quite dated.

[0] http://stackoverflow.com/questions/33350314/usecases-influxd... [1] https://prometheus.io/docs/introduction/comparison/#promethe...

I wouldn't include opentsdb under "lightweight" as it requires HBase.

Aircraft autopilots also rely on experienced and licensed pilots to operate them and be responsible for the aircraft at all times. Self driving cars have assume the operator is not particularly capable nor paying attention to anything happening on the road.

It's not "common knowledge" especially for people who don't run, which is who the article is aimed at. It's also still a debatable issue. I'd say for new runners the key is to get into a routine and worry about stride only if it's causing you pain until you get to a more advanced stage.

I agree, I've invested a bit of time building a monitoring stack with influx, and one of the main reasons I chose it was development velocity vs some of the competition. And from a while back, clustering was supposed to be a top-level issue, coming just around the corner. At this point I'm going to have to bite the bullet and go with a more cumbersome but mature solution, like opentsdb.

I used Aphyr's series to get started (I'm still a novice) and found it very useful to get going from zero: https://aphyr.com/tags/Clojure-from-the-ground-up

Cuomo shows just how absurdly off base with reality he is in his tweet "I want to sit in a seat ... I've come to expect that."

New Yorkers don't even want a seat, we want trains that show up at regular intervals and a signaling system that doesn't fail at rush hour multiple times a week.

Since Cuomo wouldn't ride the subway, some people brought a cardboard cutout: http://gothamist.com/2015/07/10/cardboard_cuomo_subway.php

Would SpaceX and rocket technology in general be where it is today without the historical pioneers and stepping stones? The title premise is ridiculous. Apollo 11 was one of the major historical events of the modern era and probably inspired countless engineers and scientists to take up their craft. The reusable rocket development is certainly a keystone of the future of space exploration and SpaceX is on the leading edge of it, but no one is going to remember where they were in 30 years on the day the Falcon 9 landed itself (okay, maybe some of the team and a few others).

What the Apollo missions pulled off is still mind boggling, today: people landed on the moon, walked and drove around, and came back safely.

It was OK that children were put to work, maimed and died in droves during the industrial revolution. We wouldn't be where we are today without their sacrifice!

Good to see the forward progress. I needed to set up a metrics platform to serve tenants on a Mesos cluster, and picked InfluxDB over some alternatives for 3 main reasons: fairly reliable working state at the time (still using 0.8.8) with no dependencies, upward momentum, and stated priority of horizonal scaling. Looking back, it's held up reasonably well. I'm admittedly disappointed that stable, horizontally-scalable clustering keeps getting pushed to the next release. To be fair, it's hard, and the redisigns with the 0.9+ API and TSM tree are important - if you're going to sell people on a dedicated time series DB it has to be really really good at it.

In the long run, the full ecosystem development here will pay off.

There's another thing people forget, too: you're made to chew things. Chewing helps break down food for digestion, and probably more importantly generates saliva, which is also very important for initial digestion as well as oral health.

This is a pointless strawman. This is like saying an F-15 on a training exercise crashed and that it's unfair the pilot/crew/USAF wouldn't be treated the same as some random who flew a drone with a gopro over an airport.

#2 doesn't sound like a problem for this use case