Hi, I’m Carrie Anne, and welcome to Crash Course Computer Science!
We’re here: the final episode!
If you’ve watched the whole series, hopefully you’ve developed a newfound appreciation
for the incredible breadth of computing applications and topics.
It’s hard to believe we’ve worked up from mere transistors and logic gates, all the
way to computer vision, machine learning, robotics and beyond.
We’ve stood on the shoulders of giants like Babbage and Lovelace, Hollerith and Turing,
Eckert and Hopper, Sutherland and Engelbart, Bush and Berners Lee, Gates and the Woz, and
many other computing pioneers.
My biggest hope is that these episodes have inspired you to learn more about how these
subjects affect your life.
Maybe you’ll even pick up programming or choose a career in computing.
It’s awesome!
It’s also a skill of the future.
I said in the very first episode that computer science isn’t magic, but it sort of is!
Knowing how to use and program computers is sorcery of the 21st century.
Instead of incantations and spells, it’s scripts and code.
Those who know how to wield that tremendous power will be able to craft great things,
not just to improve their own lives, but also their communities and humanity at large.
Computing is also going to be literally everywhere – not just the computers we see today, sitting
on desks and countertops, and carried in pockets and bags – but inside every object imaginable.
Inside all your kitchen appliances, embedded in your walls, nanotagged in your food, woven
into your clothes, and floating around inside your body.
This is the vision of the field of Ubiquitous Computing.
In some ways, it’s already here, and in other ways, we’ve got many decades to go.
Some might view this eventuality as dystopian, with computers everywhere surveilling us and
competing for our attention.
But the late Mark Weiser, who articulated this idea in the 1990s, saw the potential
very differently:
“For [fifty] years, most interface design, and most computer design, has been headed
down the path of the "dramatic" machine.
Its highest idea is to make a computer so exciting, so wonderful, so interesting, that
we never want to be without it.
A less-traveled path I call the "invisible"; its highest idea is to make a computer so
imbedded, so fitting, so natural, that we use it without even thinking about it …
The most profound technologies are those that disappear.
They weave themselves into the fabric of everyday life until they are indistinguishable from it."
That doesn’t describe computing of today – where people sit for hours upon end in
front of computer monitors, and social media notifications interrupt us at dinner.
But, it could describe computing of the future, our final topic.
INTRO
When people think of computing in the future, they often jump right to Artificial Intelligence.
No doubt there will be tremendous strides made in AI in the coming years, but not everything
will be, or need to be, AI-powered.
Your car might have an AI to self-drive, but the door locks might continue to be powered
by what are essentially if-statements.
AI technology is just as likely to enhance existing devices, like cars, as it is to open
up entirely new product categories.
The exact same thing happened with the advent of electrical power – lightbulbs replaced candles.
But electrification also led to the creation of hundreds of new electrically-powered gadgets.
And of course, we still have candles today.
It’s most likely that AI will be yet another tool that computer scientists can draw upon
to tackle problems.
What really gets people thinking, and sometimes sweating, is whether Artificial Intelligence
will surpass human intelligence.
This is a really tricky question for a multitude of reasons, including most immediately:
“what is intelligence?”
On one hand, we have computers that can drive cars, recognize songs with only a few seconds of audio,
translate dozens of languages, and totally dominate at games like chess, Jeopardy, and Go.
That sounds pretty smart!
But on the other hand, computers fail at some basic tasks, like walking up steps, folding
laundry, understanding speech at a cocktail party, and feeding themselves.
We’re a long way from Artificial Intelligence that’s as general purpose and capable as a human.
With intelligence being somewhat hard to quantify, people prefer to characterize computers and
creatures by their processing power instead, but that’s a pretty computing-centric view of intelligence.
Nonetheless, if we do this exercise, plotting computers and processors we’ve talked about
in this series, we find that computing today has very roughly equivalence in calculating
power to that of a mouse...
which, to be fair, also can’t fold laundry, although that would be super cute!
Human calculating power is up here, another 10 to the 5, or 100,000 times more powerful
than computers today.
That sounds like a big gap, but with the rate of change in computing technologies, we might
meet that point in as early as a decade, even though processor speeds are no longer following
Moore’s Law, like we discussed in Episode 17.
If this trend continues, computers would have more processing power, slash intelligence,
than the sum total of all human brains combined before the end of this century.
And this could snowball as such systems need less human input, with an artificial superintelligence
designing and training new versions of itself.
This runaway technological growth, especially with respect to an intelligence explosion,
is called the singularity.
The term was first used by our old friend from Episode 10, John von Neumann, who said:
"The accelerating progress of technology and changes in the mode of human life, give the
appearance of approaching some essential singularity in the history of the race beyond which human
affairs, as we know them, could not continue."
And Von Neumann suggested this back in the 1950s, when computers were trillions of times
slower than they are today.
Sixty years later, though, the singularity is still just a possibility on the horizon.
Some experts believe this progress is going to level off, and be more of an S curve than
an exponential one, where as complexity increases, it becomes more difficult to make additional progress.
Microsoft co-founder Paul Allen calls it a “complexity brake”.
But, as a thought experiment, let’s just say that superintelligent computers will emerge.
What that would mean for humanity is a hotly debated topic.
There are people who eagerly await it, and those who are already working to stop it from happening.
Probably the most immediate effect would be technological unemployment, where workers
in many job sectors are rendered obsolete by computers – like AIs and Robots – that
can do their work better and for less pay.
Although computers are new, this effect is not.
Remember Jacquard's Loom from Episode 10?
That automated the task of skilled textile workers back in the 1800s, which led to riots.
Also, back then, most of the population of the US and Europe were farmers.
That’s dropped to under 5% today, due to advances like synthetic fertilizers and tractors.
More modern examples include telephone switchboard operators being replaced with automatic switchboards
in 1960, and robotic arms replacing human painters in car factories in the 1980s.
And the list goes on and on.
On one hand, these were jobs lost to automation.
And on the other hand, clothes, food, bicycles, toys, and a myriad of other products are all
plentiful today because they can be cheaply produced thanks to computing.
But, experts argue that AI, robots and computing technologies in general, are going to be even
more disruptive than these historical examples.
Jobs, at a very high level, can be summarized along two dimensions.
First, jobs can be either more manual – like assembling toys – or more cognitive – like
picking stocks.
These jobs can also be routine – the same tasks over and over again – or non-routine
– where tasks vary and workers need to problem solve and be creative.
We already know that routine-manual jobs can be automated by machines.
It has already happened for some jobs and is happening right now for others.
What’s getting people worried is that non-routine manual jobs, like cooks, waiters and security
guards, may get automated too.
And the same goes for routine cognitive work, like customer service agents, cashiers, bank
tellers, and office assistants.
That leaves us with just one quadrant that might be safe, at least for a little while:
non-routine cognitive work, which includes professions like teachers and artists, novelists
and lawyers, and doctors and scientists.
These types of jobs encompass roughly 40% of the US workforce.
That leaves 60% of jobs vulnerable to automation.
People argue that technological unemployment at this scale would be unprecedented and catastrophic,
with most people losing their jobs.
Others argue that this will be great, freeing people from less interesting jobs to pursue
better ones, all while enjoying a higher standard of living with the bounty of food and products
that will result from computers and robots doing most of the hard work.
No one really knows how this is going to shake out, but if history is any guide, it’ll
probably be ok in the long run.
Afterall, no one is advocating that 90% of people go back to farming and weaving textiles
by hand.
The tough question, which politicians are now discussing, is how to handle hopefully-short-term
economic disruption, for millions of people that might be suddenly out of a job.
Beyond the workplace, computers are also very likely to change our bodies.
For example, futurist Ray Kurzweil believes that “The Singularity will allow us to transcend
[the] limitations of our biological bodies and brains.
We will gain power over our fates.
... We will be able to live as long as we want.
We will fully understand human thinking and will vastly extend and expand its reach.”
Transhumanists see this happening in the form of cyborgs, where humans and technology merge,
enhancing our intellect and physiology.
There are already brain computer interfaces in use today.
And wearable computers, like Google Glass and Microsoft Hololens, are starting to blur
the line too.
There are also people who foresee "Digital Ascension", which, in the words of Jaron Lanier,
“would involve people dying in the flesh and being uploaded into a computer and remaining conscious".
This transition from biological to digital beings might end up being our next evolutionary step...
and a new level of abstraction.
Others predict humans staying largely human, but with superintelligent computers as a benevolent
force, emerging as a caretaker for humanity – running all the farms, curing diseases,
directing robots to pick-up trash, building new homes and many other functions.
This would allow us to simply enjoy our time on this lovely pale blue dot.
Still others view AI with more suspicion – why would a superintelligent AI waste its time
taking care of us?
It’s not like we’ve taken on the role of being the benevolent caretaker of ants.
So maybe this play out like so many Sci-Fi movies where we’re at war with computers,
our own creation having turned on us.
It’s impossible to know what the future holds, but it’s great that this discussion
and debate is already happening, so as these technologies emerge, we can plan and react intelligently.
What’s much more likely, regardless of whether you see computers as future friend or foe,
is that they will outlive humanity.
Many futurists and science fiction writers have speculated that computers will head out
into space and colonize the galaxy, ambivalent to time scales, radiation, and all that other
stuff that makes long-distance space travel difficult for us humans.
And when the sun is burned up and the Earth is space dust, maybe our technological children
will be hard at work exploring every nook and cranny of the universe, hopefully in honor
of their parents’ tradition to build knowledge,improve the state of the universe, and to boldly go
where no one has gone before!
In the meantime, computers have a long way to go, and computer scientists are hard at
work advancing all of the topics we talked about over the past forty episodes.
In the next decade or so, we’ll likely see technologies like virtual and augmented reality,
self-driving vehicles, drones, wearable computers, and service robots go mainstream.
The internet will continue to evolve new services, stream new media, and connect people in different ways.
New programming languages and paradigms will be developed to facilitate the creation of
new and amazing software.
And new hardware will make complex operations blazingly fast, like neural networks and 3D graphics.
Personal computers are also ripe for innovation, perhaps shedding their forty-year old desktop
metaphor and being reborn as omnipresent and lifelong virtual assistants.
And there’s so much we didn’t get to talk about in this series, like cryptocurrencies,
wireless communication, 3D printing, bioinformatics, and quantum computing.
We’re in a golden age of computing and there’s so much going on, it’s impossible to summarize.
But most importantly, you can be a part of this amazing transformation and challenge,
by learning about computing, and taking what’s arguably humanity’s greatest invention,
to make the world a better place.
Thanks for watching.