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Mass-Produced Laborers

We all do something that contributes to someone, something, or a company. We all provide a service to each other, directly or indirectly. Someone is at least making decisions that impact the way customers interact with receiving the product from employees.

We’re all workers, separated by different types of tasks, some digital, some that require our feet to be on the ground making stuff at the factory or serving customers within the store.

At the end of the day, we have to work in order to eat and have time to play. We all have to do something in order to survive.

As mass produced laborers, which of us are leaders and which of us are lemmings? Pride is hard to come by. Making decisions from the top and doing the hard hand work below can be equally automated.

How to make a significant impact?

Bing Crosby discovered the microphone.  He was also the first American to record on tape, which basically pioneered the hard drive.    

Fast-forward into the mid-nineteen-forties. The Second World War had just ended. Americans were picking over the technological remains of German industry. One of the things they discovered was magnetic tape; the Nazis had been using tape recording to broadcast propaganda across time zones. It was a remarkable invention. Previous sound-recording technologies had used wax cylinders or discs, or delicate wires. But magnetic tape was remarkably fungible: it could be recorded over, cut and spliced together. Plus it sounded better.

There is a direct link in the Silicon Valley understanding between Bing Crosby’s crooning and the rise of the hard drive, which was designed as an improvement over magnetic tape. Or, to put it into an equation: microphones + crooning + Nazis + radio + fifty thousand dollars = Silicon Valley.

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Prosumer

Thanks to the Internet, we have become both producers and consumers. We are, in the futurist (how old-fashioned the term “futurist” seems now) Alvin Toffler’s unlovely phrase, “prosumers.” We tweet, and post, and update, and blog at the same time we are consuming other people’s digital productions. We are all part of a vast crowd that is unaware of how atomized it is, ignorant of the fact that it is both interconnected and isolated at the same time. - Lee Siegel

Whether it’s this blog or Twitter or Facebook I try to mix up the content between stuff I own/write and stuff that inspires me, which is mostly content I consume first and then retweet or reblog.

fieldstudy:

Today, we introduce Days, a visual diary for the iPhone that lets you capture each day of your life as it really is: sunny or dark, exciting or tedious, exceptional or mundane—and always unfiltered.

Days is a product I am an incredibly proud of from a team I am lucky to work with. I could write for days (hehe) about what we’ve built. In the near future I’ll post some thoughts about the process, learnings I picked up along the way, and some of the cutting-room-floor stuff that we all like to get a peek at.

But for now, I just want to express a feeling that is hard to put into words. This app feels like something much bigger than the some of our small team’s efforts. I had my hands in every corner of this app. I know it in and out. And yet I continually find myself surprised. It is thoughtfully conceived, well engineered, and carefully designed. But what gets to me are the unexpected moments of small but meaningful connectedness. It’s been something I’ve been chasing in my product design work and I can say, with humble confidence, that we’ve begun to touch that beautiful feeling.

 Download Days

It’ll be interesting to see how this does against my personal favorite diary app Day One, which focuses more on text entries but also enables photos. 

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Niches are growing niches and the mainstream

The array of niches is making mass appeal less attractive but much larger. The long tail makes what’s popular even more popular, like an obsession.

Just scan your newsfeed. Everyone is tying in Jay Z, Beyonce, Bieber to one of their stories, hoping to woo a wider audience.

Forcing the conversation around a sly disconnect means that both people that love it and hate it will see it. The publications and celebrities both get richer, leaving limited space for new hyper-mainstream entrants.

On the whole, people gravitate to online tribes. The Internet connects a mass of niches and curators. Styles such as jean shorts and genres such as dub-step now have huge cult followings.

We really don’t even need the mainstream. It’s unnecessary noise acceptable only to people that don’t know any better. A online niche is a massive craze within itself.

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Alternative Thinking

Consensus begets decision. We all want to agree and keep on moving on. But consensus is the not the end to alternative thinking.

“The role of thinkers is primarily to keep options open.” - Milton Friedman

Work needs to be reevaluated, rejudged, and twisted into something new. No product nor marketing campaign should be repeated regardless of success.

Steve Jobs continually disrupted his own business, killing off the iPod with the iPhone and now the laptop with the iPad.

Learn from the past and experiment in the future. An agreement is only step one in the implementation process; there’s other ideas yet to be explored.

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Internet, freedom from constraint

Had the Internet not come along and become the fulcrum of technological innovation and creativity, I’d probably still think I’d want to go to Law School.

Instead, I’m thinking through blogging, writing a few eBooks, taking photos, and making beats.

Give anyone the tools and the worldwide reach and they’ll be make it happen.

Never unfilled, never bored. There’s always the next hyper-connected thing to do. Addiction, possibly, but the Internet is just too good to be true.

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The Problem With Big Data

I know how many steps I take per day. But these get recorded on a pedometer, not an Internet connected device with algorithms on the back end. As a result, I don’t get push messages telling me how close or behind I am to reaching my goals. I just know some basics.

I love data. It allows us to make wise decisions about where, when, and how to move forward.

But I still believe data is really bad at predicting human emotion. Music, for example, is hard to recommend. There are special algorithms in Pandora that suggest new tracks in accordance to our tastes.

Based on my own experience, rarely does Pandora play something interesting and of good quality. Music, like books and movies, is not something you can predict with precision. Human Genome projects are great for recommendations and starting points but they try to plan too much. And it’s because we let them to, outsourcing responsibility.

The best part about the analog world is discovering something that aggregated data can’t predict. Discovery occurs through randomness as much as it does through suggested data. The data doesn’t know you’re open to completely new things; it’s going to keep feeding you the same stuff within that niche.

Machines that dictate our action dictate our behavior. Plugging out, being open, is just as important as being plugged in. The best recommendation engine may be yourself.

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