Crushing Krisis

Comic Books, Drag Race, & Life in New Zealand

essays

Personal essays from Krisis on everything from parenting to immigrant life to driving, and much more.

The Long Tail of Things I Enjoy Doing

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I’ve recently been reading The Long Tail, which I was originally turned on to completely separately by the original Wired article and via author Chris Anderson’s brainstorming blog (still ongoing).

I haven’t formed a complete opinion on the book yet (I should probably finish it before doing that, eh?), but something I have enjoyed so far is that certain passages have made me put the book down to do my own research, or to start my own discussion. A good book should do that!

It isn’t really necessary to understand what “The Long Tail” means to appreciate the rest of my post, but if you’re interested Wikipedia can tell you, or you can just trust me to summarize it as follows:

The Long Tail is essentially a model (not necessarily of business) where end users have an tremendously huge number of choices – a number typically impossible to amass in any kind of bricks and mortar establishment (think of Amazon’s book and CD selection vs that of Borders or the currently liquidating Tower).

Given this huge number of choices, it turns out that significant user demand for choices continues far past the initial popular choices – ranging even beyond the choices typically offered in a more limited format such as a bricks and mortar store. For an eBusiness such as Amazon or Netflix that incurs relatively low cost to keep these seemingly infinite choices in stock, a significant portion of their profit will be generated by those more obscure choices that a physical storefront would never offer – in effect, the “long tail” of the choices being offered.

Anyhow, back onto my topic.

One passage that had an extremely visceral impact on me as a read was this one: Labor – forced, unspontaneous and waged work – would be superseded by self-activity. [Eventually] nobody has one exclusive sphere of activity but each can become accomplished in any branch he wishes … to hunt in the morning, fish in the afternoon, rear cattle in the evening, criticize after dinner, just as I have a mind, without ever becoming hunter, fisherman, shepherd or critic.

It isn’t author Anderson’s writing – it’s a quote from The Pro-Am[ateur] Revolution: how enthusiasts are changing our economy and society by Charles Leadbeater and Paul Miller (DL it here), who are in turn quoting Karl Marx’s writing from between 1845 and 1847. And, though Marx’s meaning is diluted when taken out of context, the quote resonated with me.

(Marx’s point is that Communism will ultimately find success in the many crafts of its people, as society will “regulate the general production” through the varied skills of its members. For more on the idea of crafting, visit Craft Research)

The quote resonated with me because of a certain conversation I had towards the end of high school. I was talking about potential college majors to my good friend Robert (who I owe a call), and he said something akin to, “Peter, I want to be a jack of all trades, and a master of none.”

Now, I was familiar with the phrase, but I had never thought of its practical application to a person. Why would anyone want to be halfway good at everything and perfect at nothing? It seemed unfullfilling to me at the time.

Robert’s words reverberate in my head from time to time as I take up yet another new hobby – piano-playing and MYSQL, as of late. I don’t know that I have a hope of mastering either skill, but it hasn’t stopped me from pouring time and energy into either. So, am I a jack of all trades, and in the process have I mastered nothing?

Marx’s quote resonates because it gives Robert’s some perspective. According to him – and I agree – none of us are meant to function solely in a single dimension of production. Yes, most of us have a proverbial “day job,” but our passion carries us to work just as feverishly at acting, or mountaineering, or homebrewing, or any of the other interests of my many friends, and we shouldn’t necessarily despoil that passion by attempting to thrust that work into focus in our lives by majoring in it or making it our business.

I love communications as much as everything, and it’s a perfect thing to take up my 9-to-5 because I would never contrive quite so much communications to work on in my free time. What if I do spend my weekends struggling to debug my own code or master a new instrument? It doesn’t mean I have to get my degree in IT or Performance – if I did I might not like either as much.

That’s just one instance of the trains of thought departing from The Long Tail station; even if it’s not a superior book, it’s a superior catalyst.

Or, For Short: I Play Guitar

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In the midst of a lengthy conversation over dinner and several bottles of wine I got into a bit of a chat about guitar playing with our friend Geoff.

Being a relative folky (though, i think that’s a bit of a misnomer), i don’t typically venture into those sorts of discussion. Any non-rocker has surely been put in that position – one side of the conversation is about sick speed riffs and crazy gear, leaving you and your acoustic by the wayside.

Over the years I’ve learned to hold my own in those conversations – especially after my lengthy hunt for a perfect acoustic. It doesn’t matter, because Geoff is mostly of the jam-band persuasion – i don’t know that i’ve ever seen him play an electric guitar. So, in this instance i was actually fairly evenly matched (though that’s also a misnomer, since Geoff was a guitar wiz when i was just learning to read sheet music).

In any event, i was whinging about how i need to wear my wrist braces more often because all of my recent keyboard practice is making my hands and wrists a touch sore for guitar playing – a bad sign in the short term and the long term. Geoff, rightfully skeptical of my sometimes exaggerated conversational gambits, asked, “Well, just how much do you play guitar?”

I was stymied. Last summer i know it wasn’t very much because i was counting the hours. That was before i met my beautiful Breedlove, which i truly never get tired of playing. Since i received it this May i feel like i’ve hardly put it down.

I ventured a guess: “If i play at all, i play for two or three hours at a time.”

Geoff clearly thought i was exaggerating, if ever so slightly. Not a surprise, since we had just been talking about my many hours of keyboard rehearsal, and before that about our nightly Netflix habit. On those two accounts i seemed quite sure, so my estimate must be high?

The whole point of this ramble is that i’ve been paying attention since our dinner, and i actually play that much or more. It’s usually one of the first things i do when i get home, and one of the last before bed if i don’t fall asleep watching a movie. It’s probably what i do the most other than sleep and work. This weekend i very nearly put in ten hours.

You’d think that with all that time logged that i would be able to shred with the best of them, but i spend all that time alone, and most of it singing – not an environment to unlead my inner speed demon. And, if maybe i’m now playing more than i ever have before, i’m finally feeling the impact.

The other night at the keyboard i mused that songs always seem to take forever when you’re learning them – a mid-tempo five-minute version of a pop song can seem like an eternity when you’re the one suffering under its weight. I feel like that at the piano all the time, but i can’t remember the last time i felt that way playing guitar, other than maybe while trying to slowly count out the timing of a ridiculous solo.

The short of that incredibly long story? Well, for one, i wasn’t lying to Geoff. More to the point, this whole train of thought made me realize that i finally feel confident when saying “i play guitar” – no disclaimers, no exceptions. Ironic that this came almost half-a-decade after the first time i felt confident saying that i was a singer, since sometimes that’s doubtful, but i’ve arrived, nonetheless.

and when inspiration finally hits you it barely even breaks your fall

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I’ve heard – from people who both teach and live their songwriting – that you have to keep the muscles limber. Just like an athelete who runs a meaningless mile around and around his block, you have to keep the words flowing all the time so that you’re ready to catch the next best thought you have in a butterfly net of carefully trained artistic reflexes.

It sounds like a wonderful idea, except i don’t like writing throwaway songs. I’m certainly capable of it, but i find it a little offensive – all that creative output and effort for something that just takes up space on my list of titles – i don’t want to hear or play it again, let alone pass it off to an unsuspecting audience.

I like to think instead that the more rarified that pen-to-pad impulse becomes, the more remarkable the results. Why wade through daily crap when you can have a monthly gem.

The monthly gem, as it turns out, seems to be a myth when you are a well-fed gainfully employed yuppy. Because, you are complacently waiting for inspiration to hit you, but inspiration typically needs a life event to set it into motion, and you might not be having so much of those, perhaps?

Back to those limber muscles, the value of which i am coming to understand. The trick, you see, is to refuse to write something to be thrownaway. Don’t just write aimless words. Pick a topic with legs. I’ve decided that, for lack of other inspiration, i will write a song about everyone i know. Some of the songs might suck, and they might not even correspond to people who suck. At least Elise will get a break from being the topic. Gina somehow got (apparently) the catchiest song i have written, ever. One of my least favorite people ever got sortof a funky love song. Neither seem to be a coincidence. And, this shit just keeps happening.

Now I’ve got a pile of maybe songs, some about people who really shouldn’t be told they are the topic/target because songs are so much better when they’re a little scandalous so i find i keep telling the truth in them (note to self: stop titling with people’s names). None, though, none with tight enough screws to hold the weight of me and my guitar. So, i am not declaring them done. Simple, no? Every night i come back to the gaggle to polish – write a better line where i can, restart the progression in a different tuning where it might work better. Maybe i can get one to graduate to being a real song, someday.

Working on the new lyrics MYSQL backend i now know fo sho that i have 200 songs (yes, with the help of technology we’ve finally eeked it up from 144). That averages out to 25 a year, but really it’s more like 32 a year for a while, and only a handful this last year and a half. But now i have all these half-formed things circling like little audio-vultures, picking my brain for better ideas.

I bear no promises of audio samples or lyric sneak peeks. Yet. You just have to trust me on this one.

Closed Loop

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This post will (temporarily, at least) close the loop my recent discussion of good music prediction systems.

One service that initially escaped my attention was Last FM, aka AudioScrobbler. Perhaps it went unmentioned because it’s a bit of a hodgepodge when it comes to features – it tracks what you listen to, but compiles only the vaguest (and in my experience, often incorrect) statistics about your listening habits. It features some free music, but not in a predictable enough fasion that i’d use it on a regular basis.

Since it doesn’t accumulate anything but playcounts, Last.fm can only predict based on your listening habits. For someone like me who listens to 1k+ tracks a month, the approach is fascinating but ultimately scattershot, as it isn’t weighting my likes and dislikes at all. Though it has the plus side of offering predictions based on a large network of users who you can either friend or “neighbor,” the lack of any rating scheme is a major turnoff.

That said, i return my attention to Yahoo’s LaunchCast Radio.

I have been phasing this out at work now that I have a new iPod, and it’s unaccessible at home since it doesn’t work in Firefox. However, i remain convinced that it comes the closest to being the best music service out there based on the strength of its predictive abilities. It has lead me to more than a few downloads and purchases in the last month, many of which have been surprisingly obscure.

I definitely recommending trying the service, and do so with the following recommendations:

  • When you first subscribe spend a day or two listening to one of the pre-set stations that’s nearest to your tastes in order to give the service some ratings to work with. Alternately, take a sampling of your record collection and add 200-500 ratings – probably enough for the services correlative powers to kick in.

  • Unless you enjoy a *wide* swath of music in one particular genre it’s in your best interest to rate genres very conservatively, especially high-level buckets like “Rock” or “R&B.” Rating “Rock” highly partially thwarts a rating of “Don’t Play” for “Classic Rock.” Furthermore, the system seems to prefer genre recommendations to song correlations, which is increasingly frustrating as you fine-tune your song ratings. Just as bad, if not worse, if you leave genres blank Yahoo assumes you like them all equally!

  • One positive impact is that if you have a subgenre you’re interested in hearing more of, like “Big Band” or “Zydeco,” you can rank it heavily for a few days to get served a bigger sampling of songs so you can develop your opinion.

  • Similarly, only rate an artist if you want them to impact the system’s choices. You might love Madonna or Depeche Mode, but if you aren’t interested in the terrible pop they’re correlated to you might be safer just rating songs and albums. Rating a smattering of songs by an artist has an equal (or better) effect on being served more songs by the same artist as rating the artist themselves.

  • Whenever you hear a song you really like, click the song name to view its entry, which contains its similar songs. This is especially fun when listening to classic music that you don’t necessarily own, as it tends to jog your memory for other songs you’ve forgotten. (When you hear a song you really hate you should do the same thing; you might kill ten terrible-sounding birds with one well place stone. Or, you could find out a song you love is too closely correlated to the distasteful pick).

  • There’s a fixed amount of time (or number of songs?) you can consume in any given month before higher features are locked out, leaving you only with your own station with a somewhat limited pool of songs. Our office seems to hit this point about 2/3 into a month. If your tastes run mainstream the limited pool is actually not so bad, but to avoid this make sure to shut (or at least pause) the player when you leave your desk.

  • Though Yahoo’s awesome correlations per Artist, Album, or Song help support predictions of your taste, the system seems to be incapable of adapting to a non-standard correlative scheme on a per-user basis.

    For example, what if I rate “Don’t Play” on every song over five minutes? The system would learn to avoid long songs that were similar to each other, but voting no to Queen’s “Bohemian Rhapsody” and LedZep’s “Stairway to Heaven” wouldn’t necessarily protect me from Fiona’s “Never Is a Promise” or Tori’s “Yes, Anastasia.”

    A best-of-class predictive system would be able to determine your tastes not only based on correlated predictive data, but also based on your personal trend of ratings for certain song lengths, BPMs, producers, labels, or even mix levels and/or frequency response.

If you know of this promised land of music consumption, please point me in the right direction. Heaven forbid i learn enough programming/scripting to be dangerous, i might have a go at my own datamart, a la iTunes Registry.

In Search of a Magic Music Bullet

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I love music so much that i’m starting to think i need to hire a part-time “music-loving assistant” to help me love music as much as i love music.

My CD intake has become truly ludicrous over the course of the last month; since my latest acquisitions post i’ve purchased another 20+ discs, hardly any of which are bad. Yet, i hardly listen to 200 songs in my own collection a week – i average about 700 a month with iPod, and without (as i am, currently) i hover around 300. That means i’m not even listening to all of my new purchases once through iTunes.

My music loving issue is a symptom of something Coolfer was discussing earlier this week – namely, that the scarcest resource artists are vying for is not listeners’ dollars, but listener’s time. Because, an album that’s bought (out of loyalty, or advertising, or whatever) but not heard is like a tree falling in an empty forest: it might make a sound, but no one will know.

What Coolfer only begins to touch upon in their writeup is the world of music filtering tools that help the time-pressed listener discern what’s good, not only in their own collections, but in the vast realm of songs they haven’t heard.

To this point i’ve taken the recommendations of sites like Amazon or RateYourMusic with a grain of salt, often more suspicious than curious of an artist they correlate to my tastes. Plus, they’re only correlated on an album-by-album basis, when i truly operate on the song level.

To that end, lately i’ve become enamored with Yahoo’s LaunchPlayer customized station(at work only, as it doesn’t function in Firefox). In the player you can rate any level of music in a 5-point system – from the macro of Genres through Artists and Albums to the micro of Songs. Users rate via listening or, if you’re me, mass rating-drives to sync up to iTunes ratings (aside: why the fuck can’t i upload my ratings as CSV? Surely i can’t be the only person who worries about keeping ratings meticulously synced across multiple services?), and the customized stations spits out increasingly well-chosen songs (though it doesn’t plays only what you’ve rated, so rating every song by a certain artist improves its predictive abilities to find songs like those, but doesn’t mean you’ll hear more of those songs).

Even with about 2.5k ratings i’m obviously still in a calibration stage, as the player feels me out in various genres. It’s amusing how my current ratings (only synced through C in iTunes) are already yielding some of my favorite results from the rest of my music collection. However, it’s amazing how high the quality of recommendations become when the player gets on a streak; this week i was treated to a 5-song block of things completely new to me and completely excellent. Also, the player has a knack for reminding me of tracks i own but haven’t heard for years. If only i didn’t have to labor for hours on end to sync up its ratings to mine…

What i have a burning need to know is, why does this AWESOMELY PERFECT functionality need to be separated by my music collection by a brick wall of incompatibility and ratings mechanisms? The closest thing i can find as an iTunes plugin is LastFM (previously (or still?) AudioScrobbler), but the site is spotty in its tracking, can’t track my iPod usage, and doesn’t take into account my ratings (booooo). Since it can’t distinguish between a 5-Star Ani DiFranco track and a 1-Star Dave Matthews Band track, the service’s recommendations are nearly useless to me (i.e. I still manage to listen to a lot of things i don’t love, and it’s skewing my results mercilessly).

My great white hope was the iTunes Music Store “Just For You” beta feature – recommendations native to my music player! Except, they SUCK. iTMS doesn’t take your ratings (or any of your library) into account, just your purchases, and the only two distinctions it allows you to make are “Already Own It” or “Don’t Like It.” What about, “I bought it and it SUCKED!” or “Not my favorite album by that artist”? I need degrees, damnit.

I’m not sure of what my recourse is, short of a paying an assistant to make me daily playlists that combine old favorites with hitherto unearthed deep cuts and brand new singles. It seems to me like the majority of iPod users use iTunes, and a good deal of other music fans like it to, so i’m sure i’m not the only person hitting a wall in this regard.

What i’d love to know is: what’s in the pipeline? A Yahoo-like service that let’s music-head mass-upload their ratings and/or combines randomly streamed tracks with nuggets from your own library? Last.FM that also sucks in ratings and playcounts to become a better predictor (which can totally be done, as my NowPlaying sidebar is getting that same data live from iTunes as we speak). Or, an iTunes integrated monster that queues up iTMS songs as correlated to your Top 200 most played and/or highest rated?

Whatever the magic bullet is, i hope to get hit soon. Otherwise, the only thing standing between me and just listening to Immaculate Collection on repeat for days are iTunes’ Smart Playlists that mine my least-heard-but-highest-rated tracks.