Digital is more narrow and compact and allows more efficient use of the spectrum in general. More transmissions, different uses, sharing, freeing space up for other allocations, etc. All of that is resource/demand driven. More people is more demand.
While DAB transmission is more efficient than FM, the receivers are more complex and draw more power than FM receivers. I'm not sure the tradeoff is right in this case.
I get that argument for tv transmission, but the FM bandwidth is tiny by comparison, so just doesn't seem to justify the switching pain (particularly regarding cars)
I'm genuinely wondering: is pair programming better, compared to doing the design in pair, going to work on your own, then reviewing each other's code?
As an introvert I don't think I could handle the "pair all day" approach.
> is pair programming better, compared to doing the design in pair, going to work on your own, then reviewing each other's code?
The literature is, I believe, pretty thin and equivocal. However the suspicion is that pair programming is pretty much the core loop of bouncing back and forth, reduced to the smallest possible size.
It also avoids some of the antipatterns I've seen with code reviews -- widely distributed patches, reviews getting stale because they were too hard for a Monday, then a Tuesday... then a Friday ...
> As an introvert I don't think I could handle the "pair all day" approach.
You can take a break if you need one. Lunchtime is fixed at an hour. I typically go and spend it alone with a book.
There is sometimes a confusion between intro/extraversion and sociability. I'm quite sociable, I genuinely like talking to people, but it drains me because I lean towards introverted. So the lunchtime recharge is very helpful.
It's great you built your own tool and workflow that suits you, but there's no need to declare things 'bloated', just because they include things you don't want to use. That's your opinion. Its defaults suit me pretty well, and it's really well documented.
Cool, I hear you but Jekyll actually comes with a very minimal theme (when you 'jekyll new my-site'). Heavy 3rd party themes aren't really the fault of Jekyll.
`python -m SimpleHTTPServer` for the local server (or if you prefer the python3 variant, `python3 -m http.server`), aspell for the spell check, and OptiPNG for PNG compression.
In this case at least, they're going from a peak of ~1.66 posts/day to a valley of ~1.54. As an aggregate that looks like a compelling pattern, but consider it on an individual level: we're talking about one post every ten days. Initially looking at the graph made me think the difference was way greater than a post every ten days, so I'd agree with the GP that it is misleading; I was mislead.
Looking at the graph, it seems like we're talking about ~16.5 posts in the ten days before a relationship versions versus ~15.7 in the ten days after. In the context of an individual, Facebook might be able to combine this with a bunch of other data to make guesses about people entering relationships, but a quick look at the graph makes it look like they could do it from just this one piece of data.
FWIW, I think people are often too quick to dismiss graphs as misleading due to the y-scale and I do think the graph is interesting. That said, I think a lot depends on the context, and being directly below "When You [emphasis added] Fall in Love, This Is What Facebook Sees" makes this seem misleading.
"Fake news" seems to mean different things to different people. What do you mean by it? That it's not important? That it's just entertainment? That it's false? That it's propaganda? That the person posting it here is doing so for some nefarious reason? Something else?
It has a nice GUI frontend with useful presets, understandable for the layman. Very good tool for the people not too versed in CLI and/or video formats.
I looked into this while making RamFuzz[1], but parameter generation (QuickCheck) is quite different from input-blob evolution (AFL). It wasn't clear to me how best to leverage a parameter mutation that happens to increase coverage. Ultimately, I decided that random generation (without guidance by coverage) coupled with AI classification of test outcomes is the most interesting approach.
I have to confess, when GH did something offensive I did cancel my paid account there but I still use it, so I guess I didn't care that strongly about it after all...
