My smartphone is …well, how do I put this—not terribly smart.
Now, don’t get me wrong, I am hugely amazed at the capability of said smartphone, and believe these miniature, magical machines deserve daily praise and admiration. For Pete’s sake, I punch a button and the world of wireless wealth unfolds before me–coupons, car diagnostics and my hourly cholesteral calculation.
Yeah, I rightly should set up a tiny shrine and go through a nightly ritual of lighting incense and candles to properly worship its cache of riches. Maybe toss in a ceremonial dance or two as well.
But what I’ve come to discover, and sheepishly so, is that smartphones are pretty much a mirror image of their owners.
Meaning, only as intelligent as the Joe Schmo operating it.
I’ve seen plenty of people (read: teenagers) actively attempting to reprogram satellites with their handhelds, and I’ve come across numerous folks (okay, you know who you are) who have found great use for them as doorstops, coasters, and bookmarks.
And as impressive a span of accomplishments one’s phone has been programmed to complete, the world of technology, and those who consume it, are hungry for more.
We are always looking for a smarter phone.
A phone whose IQ is regularly improved upon and impressively upgraded to achieve more than ever before, and more than your below average science fiction writer could ever conjure up.
We want a device that’s more than super smart.
More than slick and sassy.
And more than sharp and shrewd.
We want a new brain.
Thinking is hard. It’s taxing. And oftentimes, we decide to hell with thinking, I’m just gonna fly by the seat of my pants on this one.
And then if we find ourselves in the middle of giant whoopsi poo, we rely upon a few tired backup systems put in place by millions before us that regularly explain our errors.
We brush our hands of the dust, and off we go, convincing ourselves that everyone is fully on board with our excuse for the screw-up because:
We’re low a quart of caffeine
We never got the email
The President was apparently flying within one hundred miles of my town and, therefore, all roads were blocked off to allow safe air passage and now I’m running three days behind schedule, plus my child just lost a tooth.
Yep. Heard it all before.
What we need is a scapegoat brain.
What? You mean the report that was due about first quarter financials? Yeah, that was outsourced to my Neural Network Simulator. Not my fault.
Of course I didn’t pick up the kids from your mother’s. My Collective Cognitive Conveyance took that over last week,
don’t you remember, or is your Recapture App on the fritz again?
Why didn’t I pick up your weekly pint of Chubby Hubby at the supermarket? Apparently, our AI Grocery Gofer scanned your current waistline, honey, and deemed it an unnecessary purchase.
I think you get my point. Responsibilities, memories, decisions—all this riff raff gets in the way of living a calm and quiet life, doesn’t it? Wouldn’t it be so much easier to assign basic thought—or occasionally all thought—to an outside source?
Hoping to head off on a much needed, hard-earned vacation?
Got the flu and you’re laid up in bed?
Desperate for just one quick, blissful afternoon nap on a rainy Sunday afternoon when there’s still so much to tackle before the new week begins?
Yes, there’s still work to be done, but how about you just hand all that over to some form of artificial intelligence and rest easy knowing your best work—and quite possibly better than your best work—will still be happening without you.
Researchers all around the world in both private industry and well-funded university departments, not to mention a few shabbily decked out basements and garages, are beavering away bringing us ever closer to that reality.
Google, Facebook, NASA, IBM—just a few of the ‘big boys’ making giant strides across the fertile fields of artificial intelligence.
In the past, machines progressed on the scale of intelligence by collecting vast amounts of data on our habits, compiled that info, and then systematically revealed how we as individuals would behave in the future. A boon for marketers, if nothing else.
A little freaky for those of us who believe choosing which color socks to put in the morning is going to be the first monumental struggle of the day.
But machines had been getting stuck with a tiny little thing called REASONING. Apparently, data analysis was running across a pothole in the road when it came to human inference and interpretation. Ones and zeros had a hard time with rationale.
Except now it seems that technology is making it over this hurdle too. Machinery is finding success with the art and skill of human reasoning with nothing more than algebra. Yep, math. Well, in truth, this is an extraordinarily dumbed down explanation for the concept of Deep Learning within machines where data is fed in, spat out, judged and fed in again round after round. There are countless articles explaining it far better than I could with the space I’ll allow for it. Just Google ‘machine learning algorithms.’ We’ll wait.
No, don’t. On second thought, unless you want an instant software freeze within the confines of your own neural network, I suggest you hold off on that. Nobody appreciates the acrid smell of synaptic burning coming from between their ears first thing in the morning.
Nevertheless, a faster, sleeker, smarter digital assistant is on its way to each of us.
But if, like in my original assessment, we are still stuck with a reflection of our individual capabilities, I’m fearful that after opening the protective casing of my newest device I will be greeted with the spine-chilling voice of Barbie giggling and saying,
Math is hard!
Don’t forget to check out what we’re cookin’ in the Scullery and what we all talked about down in the pub. Plus, you can see more of Robin Gott‘s humor–all from the only pen carved from a human funny bone.
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