Oh, yeah? So do you! Oh, God, whatta - whatta dumb thing to say, right? I mean, you say it, "You play well," and then right away I have to say "you play well". Oh, oh, God, Annie. Well, oh well, la-de-da, la-de-da, la-la. Yeah.
When it comes to cultural significance and catchiness the fact that people have been doing it for a long time doesn’t matter.
In fact, the ability to tap into mass media only makes the impact of a song greater. Access to electric instruments and effects only gave them more ability to create interesting music.
I’m a fan of all kinds of music old and new. But anyone saying German leders or old timey civil war ditties are better than Smells Like Teen spirit are high on their own supply.
Most of history humans expressed an extraordinarily limited range of emotion in song, in rigid form. Kurt Cobain wrote more than one song that you could play for a toddler and they’d love it. He wrote more than one song that hundreds of millions of people are listening to 30 years later. I’m sorry but your favorite Gregorian Chant is just not very good in comparison.
That’s just not true. Off the top of my head Lithium, Dumb, About A Girl have critical minor and major chords.
Also part of what made him so good was how he played vocal melody and rhythm off of chords. So in some songs you might have plain power chords but the melody hits important major or minor notes.
I don’t know what your definition for genius is but the guy wrote some of the best songs in human history and did so without a primary collaborator or big production crew of cowriters and collaborators. I think we can call him a genius.
I love this. I recently had an idea for an app that would allow people to share their favorite things with other people, and i left that exploration thinking how amazing it'd be to build lots of apps on Google Sheets as the backend - you own the data, it has sharing built in..etc.
so not just google sheets as the backend, google sheets as your personal backend for you instance of the app.
There's a whole class of problems I call "small data" - under about 100 things (note: often your sample set is a year lookback, so for example new customers might be > 100 but only 100 for this year, still small data). Anything that looks like that is often able to be handled manually and probably should be until it's sufficiently useful to automate...things that look like this often are: customers, employees, infrastructure.
In general, put off automation for anything that's not every day or month that you can't just do in a few hours , e.g.:
* Parts of performance assessment & compensation tooling
* Sophisticated recruitment analytics (especially important because with small data it's often not precise or accurate/needs manual attention)
* Provisioning new stuff that doesn't happen often: databases, clusters..etc.
* Maybe the biggest bucket of stuff in general is analytics. Often times people try to get whiz-bang end result numbers with data sets of like 100. It's almost always the wrong move to have crazy analytics abstraction layers and automation when the numbers are small.
A potential simple heuristic might be something like: if it take a day or longer to automate, you need to save at least 5 days of time in the next 6 months for it to be worth it.