Ruarl
Ruarl on Hacker News
If Rick Rubin could take a tape to his car to listen to his mixes, your product people can try their websites on £20 phones from Tesco. They can ask to sit in on user tests with minority groups. Extending your knowledge like this is trivial, but rarely done.
I'm the wrong kind of engineer to work it out, but I'd be interested to know what the implications for the strength of the cable and specifications for the winch would be for a heavy cargo glider.
Thinking on, specifying the weak links and managing failed winch launches (which happen fairly regularly) is interesting to consider. Recreational gliders are light enough to be manoeuvred by hand, although old farm tractors are used to move them more than a few dozen feet. How would all that work?
The neat thing about Go is that, whilst the winning strategy is exactly to think ahead and enumerate all possible positions, to do so is impossible. (Even the superhuman AI fudge it. They can just read farther ahead than humans.)
So to do well you have to learn how to support your reading ahead with heuristics and a feel for the game.
A famous amateur player and advocate for the game once went through all the game records of Go Seigen in order to digitize them. This means having to pore over hand-written diagrams looking for the next number in the sequence of moves. Obviously this is easier if you can guess where to look. But, if you guess them all correctly, then you are playing just as well as the old master! After spending a good few months on the task, he was a significantly better player!
Happiness as the default state has nothing to do with being happy all the time. Perhaps you need to refine your understanding of “default”.
I guess this is a similar idea to the Peterson Strobe tuner? I think they have a rotating object which presents dark and light regions at the chosen frequency, which is a similar idea to building a visualisation on a set of samples whose length is the period of the chosen frequency.
I see. Was there an example of that in the video? Perhaps I missed it.
In what way does the visualisation vary when the note is not in tune? How does the visualisation indicate flat or sharp?
This is an interesting project. It isn’t immediately obvious to me how the visualisations aid the tuning process. Please can you say a little more about how you expect a user to interpret those as they perform tuning work?
Glad to see someone else giving Socotra a shout. Fascinating place.
I think a company is small whilst all the employees could conceivably fit into a house party. That is perhaps a better metric here in the UK where there are fewer colossal houses. But hopefully you get the idea.
Some experiments by a colleague a few years ago indicated 700Hz might be the limit. Will take some verification, obvs.
Should "Relying" in the article be "Relaying"? Or is it "relying" on the external auth? If the latter, it's a form of English I've never seen before.
I do have big hands. And the 13 mini is the best phone for me. If I upgrade soon, it’s going to be a refurb 13 mini with more storage and (hopefully) a newer battery.
This is all I want from my next phone.
> I'm sure encouraging audio enthusiasts to improve their critical listening skills is in Harman's interest [...]
I wonder if Harmon are so confident in their own products' superiority that they assume that a more educated audience will lead to a proportional increase in sales. Or perhaps they view education as important in its own right. (Given your point about this being the only publication of the software, perhaps neither!)
Isn’t that what Minmus is made of?
My company had a similar policy. The rate of people leaving went up and up. Eventually a new senior leader go HR to do their maths properly, and the “ranges” for many salaries increased by 30-70%. And everyone got increases to match. We’re still nowhere near the US mega-salaries, but the company is entirely unique, which is good enough for a lot of us.
That was not how I interpreted the results. Nor the discussion elsewhere on this page where some people included skateboards and bicycles under "vehicle" and some did not.
Wasn't the point of the experiment not that you could come up with answers that seemed sensible to you, but that different people came up with different answers that seemed sensible to them? I too felt the line was fairly clear in this case, but I was very surprised that others thought differently.
It isn't mentioned in the discussion on the results page, but one facet of effective moderation this shines a light on is as follows: each of us may find the moderation task easy, but few (or none) of us would be a moderator who would be universally trusted.
This is a definite enhancement over my existing “big pile o scripts” directory. I plan to dig in later and find out if different scripts can run in different pyenv virtualenvs.
Mine too! I was drawing the comparison between the two schools of thought using an example. I imagine, but don’t have any evidence, that the absolute scale dominates culturally in Japan, and the relative scale in the west.
I mean, how else would you distinguish that restaurant from "Food was sublime, service ranged from movie-star charm to invisibly dealing with my every need, payment was waived in favour of a small donation to my favourite cat charity. 5 stars"
The idea is somewhat persistent amongst beginners though, whether sources agree or not. I guess that’s a problem of community-lead learning, instead of instructor-lead.
In his books, Heisig recommends learning all the joyo kanji before anything else. It's what his books are for, so it isn't a surprise, but perhaps that's where the idea that it's useful to do so came from.
I LOVED Jet Grind Radio (Jet Set Radio here in the UK). That combo gameplay of doing cool tricks while completing the course was seriously addictive. Trickstyle did a vaguely similar thing - still doing cool tricks, but replace graffiti with racing.
I think Iain M. Banks called this an "Outside Context Problem" :)
I would have classified it as a "simulation". Which is what the author calls it, but then tries to find other things to call it too. Simulation is fine.
If it’s detected my location correctly, it would be $7.50 a month. Colour me much-less-interested as a result of shenanigans-based pricing.
The listed price for the lowest tier is $132 per year, which is around $11 per month. What’s the $6.25 option?