After Shock: The World's Foremost Futurists Reflect on 50 Years of Future Shock—and Look Ahead to the Next 50
By John Schroeter, Ray Kurzweil, George Gilder and
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About this ebook
John Schroeter
John Schroeter is publisher of the iconic Popular Electronics, Mechanix Illustrated, and Popular Astronomy magazines at TechnicaCuriosa.com, as well as Executive Director at www.TheStartupStudy.com. His deep industry experience spans semiconductors to high-performance computing to advanced automotive technologies. His patented work in eliminating counterfeit drugs from the supply chain was recognized with Frost & Sullivan's Technology Innovation Award. He continues to write consult in the advanced semiconductor and high-performance computing fields, with an emphasis on machine learning applications in defense and healthcare. Schroeter is also the author of several books, including the Prentice Hall classic, Surviving the ASIC Experience, on the design of custom integrated circuits.
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Reviews for After Shock
4 ratings1 review
- Rating: 5 out of 5 stars5/5After Shock is an enticing collection of essays observing the 50 year anniversary of Future Shock by Alvin and Heidi Toffler. Future Shock was first released in 1970. Much of the country was living in a state of uncertainty due to an unpredictable environment. Future Shock was a welcome distraction for many, as it contained a mix of both pessimistic and optimistic communications of shared experiences about adjusting to new conditions. In this socially contentious and uncertain time, it gave a clear and precise goal of focusing on the future.I immensely enjoyed this collection known as After Shock. I especially like that it began with a personal note from Schroeter regarding how he was fascinated by all things “future" because of his dad's involvement with NASA's Joint Propulsion Laboratory and I did pause for a long while over Mead's essay as he wrote about electron tunneling. Back in the '70s, it seemed Popular Electronics and transistors were everywhere as my dad re-built machines and used ham radio for global communications. When I wasn't hanging out with dad, I spent time with Mom at the local library. I read a little of everything but mostly concentrated on novels written by authors born in the 1800s. Their books spoke of huge scientific advancements, surrealism, alternate realities, some with advanced computer simulation. I enjoyed reading these as I witnessed diverse perspectives. Each contributor in After Shock presented a diverse perspective and some of them personally knew the Toffler's. Being that I love to read, and always have, I will state that I appreciate that Frank explains that the internet may be the greatest library ever made and that Mansharamani reminds us that that “The only difference between fiction and nonfiction is that fiction hasn’t happened yet." In reading After Shock, readers can release pent up energy. What we get right, what we get wrong, what alludes us at the time and what gives us a greater feeling of mutual support within diverse groups are clearly issues to consider in everyday life. But we also have an opportunity to look forward to the future. To contemplate how to apply what we've learned and to recognize that where we are heading depends largely on our perception and interpretation of facts.We know humans have complex emotions. Yes, there are lingering difficulties and assumptions should always be evaluated. But change is inevitable and we have the capacity to explore and discover how things can be different. I find I most identified with Keay pointing out "Our identity is inextricably linked to our computing technologies.", and Bodell asking the question, "Are we focused on the things that matter?" I seem to recall the Toffler's wrote about the importance of imagination. Imagination centers are not a new concept. Perhaps if we all combined forces to imagine our future world was one worthy of imitation we'd figure out a way to all work together to forge a world where we are more at peace within ourselves and with all beings around us.This book was provided by the generosity of John Schroeter for an honest review.
Book preview
After Shock - John Schroeter
Navigating Uncertainty: Thinking in Futures
Vikram Mansharamani, PhD
A former cabin boy in the Merchant Marine, Morgan Robertson had tired of sea life, spent a decade as a diamond setter, and eventually turned to writing about the sea. Despite getting stories published in major magazines, he never made much money. He died at the age of 53 from an overdose.
Before he died, Robertson wrote a novel about the largest craft afloat and the greatest of the works of men,
called Futility. The ship was the embodiment of every science, profession, and trade known to civilization
and was a true technological marvel. The boat was deemed unsinkable
and attracted famous people from around the world to journey across the Atlantic in unrivaled comfort and style. Nineteen water-tight compartments assured safety as she could sail with nine flooded. And because the vessel was deemed indestructible, it carried lifeboats adequate to carry only 1/6th of the passengers. The name of the ship was the Titan. In Robertson’s tale, on a voyage through the North Atlantic one April, the ship strikes an iceberg and sinks. The story goes on to describe the drama associated with a disgraced naval officer who worked as a deckhand on the Titan, John Rowland. Rowland rescues a young girl and was then accused by the girl’s mother (who was also his former lover), of kidnapping her. Very Hollywood-esque drama, for sure. Given that authors have often looked to historical events for inspiration, you might dismiss Robertson’s novel as being in the same vein as James Cameron’s blockbuster 1997 movie Titanic.
Don’t. Why’s that? Because Futility was written 14 years before the actual Titanic sank. Aside from the obvious similarities of name and method of demise, consider these facts:
After the sinking of the actual Titanic, Robertson was celebrated by many as a clairvoyant, as possessing extraordinary skills of precognition. He dismissed these claims, suggesting it was his knowledge of maritime matters that gave him the ability to write about ships with detail. Yet the world refused to give up on the possibility that he had, in fact, seen the future.
It’s such an intriguing story that the 1990s American TV series Beyond Belief: Fact or Fiction featured the Titan-Titanic story in an episode, highlighting during the short segment that the only difference between fiction and nonfiction is that fiction hasn’t happened yet.
Host Jonathan Frakes (yes, the one of Star Trek fame) tells the story from the perspective of a struggling author, and ends the story by asking viewers if the coincidence was another example of art foreshadowing life? The same way Jules Verne wrote of submarines long before their invention? Or da Vinci sketched flying machines centuries before the Wright Brothers?
At the end of the episode, he reveals that the story was, in fact, true.
Coincidences happen, for sure. And anyone prognosticating on the future has likely heard the clichés even a broken clock is right twice a day
and every now and then a blind squirrel will find a nut,
statements that suggest mere luck as the reason for Robertson’s supposed ability to see the future. In fact, Robertson’s title states the primary criticism directed at those who think about the future—it’s an act of futility. And, as the saying goes, it’s dangerous to make predictions, especially about the future.
One need only look to some expert predictions to see just how inaccurate they can be. Consider, for instance, two books that made it to the top of the bestseller lists: The Population Bomb and The Great Depression of 1990. The first, by Stanford biologist Paul Ehrlich, noted in 1968 that the battle to feed all of humanity is over… in the 1970s, the world will undergo famines—hundreds of millions of people will starve to death…
Ehrlich failed to appreciate the possibilities of the Green Revolution,
which dramatically increased agriculture’s productivity. Incidentally, the Green Revolution was already underway when Ehrlich wrote his book; he just didn’t grasp the potential impact. The Great Depression of 1990, by Southern Methodist University economist Ravi Batra (which stayed on the bestseller list for 10 months in hardcover and over 19 months as a paperback), totally missed the technological developments that made the 1990s among the most productive decades ever. And in 2001, Gordon Chang wrote The Coming Collapse of China, a persuasively argued case that the Middle Kingdom was destined to fall apart. In the decade that followed, China boomed.
Yet despite this mixed (at best) track record of those in the predictions business, we humans seem to have an insatiable appetite for their prognostications. Nobel Laureate Ken Arrow eloquently captured the desire for predictions in recalling his work for the US Army Air Force. Despite concluding that the weather predictions upon which his superiors relied were entirely useless (i.e., statistically random, no better than a guess), he was rebuffed, told that The Commanding General is well aware that the forecasts are no good; however, he needs them for planning purposes.
As comical as that statement sounds, I find it quite useful—and helpful. The blunt reality is that accuracy cannot and should not be the criterion upon which to evaluate thinking about the future. Usefulness, I propose, is a far better standard. Mechanical as it may be, thinking about various scenarios of how the future may unfold has proven to be among the most useful ways make decisions amidst radical uncertainty.
It’s important to note that scenarios are not predictions, or mere extrapolations of trends. Scenarios are stories of possible futures. There may be high or low probabilities associated with each scenario, but the act of articulating scenarios can help us appreciate our assumptions about the future and give us a map of the terrain that we may encounter.
There is a long and storied history behind the use of scenarios as a means of navigating uncertainty. Although the professional use of scenarios originated in military circles, Royal Dutch/Shell’s Group Planning Department (under the leadership of Pierre Wack) showed its usefulness in non-combat domains beginning in the 1960s. At the time, the group considered scenarios such as worldwide spikes in the price of oil driven by the newly formed Organization of Petroleum Exporting Countries (OPEC) flexing its muscles. When the oil shocks of the 1970s occurred, the company was able to make better decisions in the face of the overwhelming uncertainty. One result of this early success was that Royal Dutch/Shell began publishing a regular series of future scenarios.
"
The blunt reality is that accuracy cannot and should not be the criterion upon which to evaluate thinking about the future. Usefulness, I propose, is a far better standard.
"
I recently took the time to go back and find the company’s public summary of their Global Scenarios to 2020, published in 2002. The scenarios presented two distinct futures; one was called Business Class
and the other Prism.
Here’s how Philip Watts, then chairman of the Committee of Managing Directors at Royal Dutch/Shell Group, summarized the scenarios:
Business Class
offers a vision of connected freedom,
as global elites and the dominant influence of the United States lead the world towards continuing economic integration. […]. In Prism,
connections that matter
reflect the persisting power of cultural values, driving multiple approaches to modernity… [as] countries combine to follow their own development paths—based on their particular economic, political, and social circumstances—in the context of new regional structures.
In the aftermath of the technology bubble bursting, the 9/11 terrorist attacks on the United States, and China’s entry into the World Trade Organization, differing development paths centered around regional structures rather than global institutions did not appear particularly likely. But had you been thinking about the Prism
scenario, you might have been better prepared for the rapid rise of nationalism and protectionism beginning around 2016. And, perhaps you wouldn’t have been shocked by the launch of the China-led Asian Infrastructure Investment Bank.
The world is uncertain; we all know that. But we need not be surprised by developments within it. In fact, by hiding from the uncertainty, rather than embracing it, we might miss obvious risks and forego tremendous opportunities. We can and should regularly think about possible futures. Not doing so can be tragic. The 9/11 Commission, chaired by former Governor of New Jersey Thomas Keane, concluded in its final report that the terrorist attacks of 9/11 on the United States were a failure of imagination.
(Relatedly, no one has suggested that Pearl Harbor was a failure of imagination because the Japanese had 36 years earlier conducted an almost identical surprise attack on the Russian Pacific Fleet based in Port Arthur).
Imagination and creativity of thought—surprise, surprise—are critical components of building visions of futures that can help us think through how the world may unfold. Unadulterated imagination will produce some wacky thoughts, for sure, but some of them may prove to be revolutionary. One method many of the world’s best futurists have used to keep their imagination sharp is regularly consuming fiction (novels, movies, or otherwise) to help them imagine different worlds, possible scenarios, and alternative futures. Stories tend to help us get out of our own heads and to think about scenarios that may not naturally enter our frame of view.
Just think about how the opening lines of the movie Armageddon fundamentally force the viewer to think differently. It begins with an image of the Earth from afar. The voiceover begins: This is the Earth at a time when the dinosaurs roamed a lush and fertile planet…
and the scene then shows an asteroid heading toward it. The voice continues, A piece of rock just six miles wide changed all that…
After showing the asteroid impact on Earth, the narrator explains, It hit with a force of 10,000 nuclear weapons… a trillion tons of dirt and rock hurled into the atmosphere, creating a suffocating blanket of dust the sun was powerless to penetrate for a thousand years…
As the image shows the entire Earth covered from the blast, the music turns ominous, and the voice warns: It happened before. It will happen again. It’s just a question of when…
If you think this is just Hollywood dreaming up fantastic stories to help us escape the reality of life, consider that the Economist on August 1, 2015, proposed a scenario for consideration titled What if an asteroid heads for Earth?
Published as part of the magazine’s annual 17-page set of scenarios called The World If,
the collection is meant to accompany their heavily read The World in XXXX
set of predictions. Yet the scenarios have enormous standalone value in forcing readers to think.
Other topics explored in the 2015 edition of The World If
included the possibility of Russia breaking up, India’s monsoon failing, and the building of a canal in Nicaragua that rivals the Panama Canal. The following year’s scenarios, published in July 2016, led with a story that was dismissed as highly unlikely: What if Donald Trump was President?
The story they wrote, fictionally dated April 2017, foreshadows much of what actually transpired during the first 100 days of the Trump administration. Other 2016 scenarios include the collapse of the North Korean regime and a mass hacking of the financial system. And the 2017 The World If
raised the prospect of an EMP (electromagnetic pulse) attack on the United States that brings down the entire electricity grid, the emergence of a true fiduciary standard, and drumroll please… that Donald Trump’s popularity surges, leading to his reelection in 2020.
"
We want to focus on planning, not plans… because as famous boxer Mike Tyson has noted, Everyone has a plan until they get punched in the face.
"
Hollywood is great at the storytelling business, and visual stories tend to be more effective at having a lasting impact on thoughts than does text. So let’s consider another scenario: the possibility of California disconnecting from the mainland of the United States. Probably sounds as far-fetched as an asteroid hitting the Earth, right? What if I told you there were serious thinkers focused on this exact possibility?
Just watch the movie San Andreas. Yes, the human drama was an emotional hook around which the story is told, but the part that struck me as really jarring was the scene of boats driving through downtown San Francisco. Is this a possibility? How real is it? Aren’t we just wasting precious brain processing power and limited attention on a very remote possibility? Maybe, but maybe not.
Kathryn Shultz is a writer for the New Yorker and author of a book called Being Wrong: Adventures in the Margin of Error. In addition to authoring this fabulous book about handling error, she also penned a page-turning article about the possibility of an earthquake that completely transforms the Pacific Northwest. The subheading for her June 2015 New Yorker piece titled The Really Big One
was An earthquake will destroy a sizable portion of the coastal Northwest. The question is when.
A word of caution. While it’s easy to dismiss San Andreas and Armageddon as mere movies about low-probability natural disasters, doing so would miss their real value. By forcing us to think about radical scenarios, stories can broaden our imagination about what the future may bring.
Because the value of scenario planning can be so high, we need to be careful not to overly define the various situations for which we’re prepping. We need to allow a certain amount of fuzziness when preparing for contingencies. If we’re too focused in our preparation, we may not be able to respond well. We want to focus on planning, not plans… because as famous boxer Mike Tyson has noted, Everyone has a plan until they get punched in the face.
We need to retain the ability to adjust dynamically to accommodate new conditions as they emerge.
If dealing with the accelerative thrust of the past 50 years drove our collective future shock, might anxiety from overwhelming uncertainty in the next 50 years drive our collective after shock? This uncertainty anxiety already stems from an innate discomfort with complexity, ambiguity, volatility, and unpredictable outcomes. In fact, the acronym VUCA
(volatile, uncertain, complex, and ambiguous), used heavily in military circles, describes just such a situation. Might our current predicament be a result of ubiquitous VUCA, and if so, what are we to do?
The bottom line, as eloquently captured by baseball great Yogi Berra, is that the future ain’t what it used to be.
Uncertainty has been viscerally increasing for almost everyone in all walks of life. Consider economic and financial markets. The inability to fully comprehend how protectionism, cryptocurrencies, shifting central bank mandates, algorithmic trading, the rise of a global middle class, and the seemingly unstoppable march of passive investing strategies affect the future? Likewise, automation and artificial intelligence are sure to affect life on Earth in very profound ways, in domains as diverse as transportation, health care, education, etc.
In describing the psychological dimension of Future Shock, Toffler explicitly described the pressures of information overload, highlighting how increasing data access will drive decision stress and other ailments. Today, drowning in data is an all-too-common condition, leading many to analysis paralysis. Poor decisions and misunderstanding how the future might unfold are commonplace. Further, our natural default condition is to outsource our thinking to siloed experts and technologies that can help us optimize choices amidst the data deluge. But has this outsourcing of thought made us better at navigating uncertainty and making decisions in the face of ambiguous choices? Sadly, the answer seems to be no.
Vikram Mansharamani is a lecturer at the Harvard John Paulson School of Engineering and Applied Sciences. Profiled by Worth as one of the 100 most powerful people in global finance, he has also been twice highlighted by LinkedIn as their #1 Top Voice for Money, Finance, and Economics. Dr. Mansharamani is the author of Boombustology: Spotting Financial Bubbles before They Burst (Wiley) and Think for Yourself: Restoring Common Sense in an Age of Experts and Artificial Intelligence (HBR Press, 2020). He has a PhD and two masters degrees from the Massachusetts Institute of Technology and a bachelor’s degree from Yale University. He lives in Lexington, MA, with his wife, two kids, a golden retriever, and two cats, one of which he thinks may be clairvoyant.
The New Model of Futurism
Po Bronson & Arvind Gupta
Who doesn’t feel an occasional longing for how it used to be? Somewhere in the house is a photo album, or shoebox, with snapshots of bygone eras. The ink print has lost its sharpness, its chromophores exposed to the wear of time, but we recall instantly who is in the frame. That’s my uncle. That’s my cousin. It was someone’s anniversary. Milliseconds after noting these initial details, our mind reaches again into the swimming pool of the past to reconstruct the emotional context of the photo. Was I happy? Were they?
In the past were the days when cousins lived nearby. In the past was the era when parents didn’t pay million dollar bribes to get their kid into college. It was in the past that when people were sick, they went to the doctor, rather than stay away to avoid the catastrophic bills.
This bias to fondness for the past even taints the memory of our paperback edition of Future Shock, in its Air Force Blue cover, with the edges fading aqua. Way back in 1970, Toffler predicted the demise of the nuclear family, an information age powered by knowledge workers, the rise of cable television, and genetic engineering. But that world he predicted—the very world we lived—almost feels quaint now. Simpler times.
What’s fundamentally different about futurism now?
The basic formula for futurism was a waterfall model: 1) here’s what technology is going to be capable of, which leads to 2) here’s how humans will learn to cope.
In this waterfall model, the impact of 1 was always greater than the resistance inherent in 2. Technology wins, humans adapt. It might take some time, but it’s inevitable.
But if you use that formula to make forecasts now, every prediction comes out wildly wrong.
The big thing that’s changed—the big thing that Toffler didn’t foresee—was that humans don’t just suffer shock, stress, and disorientation. Instead, they fight back, en masse.
Toffler recognized that there would be cases of Luddite behavior, but he said they’d be offset by a greater fear of being left behind. People’s fear of social exclusion and irrelevance would cause most to vainly try to play along with the new and the newer.
Today, no matter how powerful 1 is, 2 sees it coming and rises up against it to some degree. Futurists cannot assume anymore that 1>2. The world is at war between people who like change and people who don’t like change. This war is everywhere, on every continent, in every government, in every industry, in every home.
The futurist model today adds a new fluid variable:
1 vs. [2 * (Longing for the past
minus Belief in our future
)]
The stronger our societal memory bias toward the past, and the weaker our belief in the future, the less 1 beats 2. The future slows down. A pickup truck blocks the Tesla supercharger station. The future and the past are at war, and the past is well-armed. It has television networks. It has religious ideology. It has lobbyists. It has trillions in corporate capital to defend its trenches. It has anonymous message boards. It has recruiters. It has victims to trot out in front of cameras. It has flags to wave. We live at a time when the future’s inevitability cannot be taken for granted. And if we’re honest, we acknowledge that fondness for the past is often a natural coping mechanism to deal with the stress of the present, or the scariness of the future.
"
The future and the past are at war, and the past is well-armed. It has television networks. It has religious ideology. It has lobbyists. It has trillions in corporate capital to defend its trenches. It has anonymous message boards.
"
When a story runs in the newspaper that Only 5% of the world’s oceans has been explored,
it’s a science story—but it’s also terrific inspiration for anti-science. Anti-science feeds on the truism that science is imperfect and doesn’t know everything. The faster science rewrites itself (and it’s going faster than ever), the more some people hear science proven wrong, again.
Denying scientific consensus is not just the domain of those who cling to the past. It also belongs to those who create the future. Every major research advancement has to break the stranglehold of scientific consensus. Every really innovative company has to bust through the prevailing wisdom that it couldn’t be done.
So, in this way, both the future and the past share the same wiring, the same psychological pathways. They inevitably go together hand in hand, like gravity against the expansion of the universe. The faster the future comes into our lives, the fiercer the rebellion against it.
What then does this new futurist model predict?
Broadly, it predicts that technologies are only going to make a huge impact on the world if they inspire enough people to fight for them.
Technologies that do not inspire an army of advocates will be fads, or confined to small market backwaters. Just because a technology is possible does not mean it’ll be adopted. How hugely it’s funded is inconsequential. What matters is that people understand it, and want it, and will recruit.
In Future Shock, Toffler predicted a world where relationships to people and place trend inevitably toward the disposable, like the products we buy and discard. What we’ve seen, instead, is that we’ll hang on to some relationships no matter how many thousands of miles separate us. The internet didn’t just open the door to the future, it gave us an infinite resource to binge learn our history in detail, to rediscover our pasts. It’s worth noting that Ancestry.com has millions more customers than 23&Me.
The most popular thing to do on the internet is look at photos of what our friends are up to. Not to live in a synthetic VR headset. Sometimes, Silicon Valley buys into a trend (or a technology) because it matches what we long imagined the future would be like.
Time travel has always
Po Bronson is a strategy director at IndieBio. He works with teams on their storytelling to investors and partners, and guides IndieBio’s strategic thinking around future markets. Po is passionate about reconceptualizing complex challenges into more elegant forms, to broaden understanding and highlight priorities. Po is a longtime science journalist honored with nine national awards, and author of seven bestselling books. His background is in economics. Prior to IndieBio, he spent four years as a futurist with Attention Span Media, consulting in corporate innovation efforts for globally recognized brands.
Arvind Gupta is the founder of IndieBio, the world’s largest biotech program-based seed fund. Using a blend of scientific method and design thinking, Arvind and the IndieBio team fund startups that can impact over a billion people or address markets over a billion dollars. Beginning his professional life as an options market maker in the Pacific Coast Exchange in the Microsoft pit, Arvind left trading in search of a career with deeper meaning. Arvind discovered design when IDEO hired him. As a design director of product development and strategy at IDEO, he led the team that designed the Samsung Galaxy Curve, received many international design awards and moved to Shanghai to build the Asia product design team. Further, Arvind co-founded Starters, a personal fitness app that gained thousands of users in 98 countries. Joining SOSV in 2013, Arvind became a venture capitalist to invest in biotech and deep science technologies, including AR/VR and new user interfaces. He is a regular speaker at TEDx, TechCrunch Disrupt, Slush conference, Startup Iceland, and SFMOMA, among others. His writing appears in Nature, Rotman, Forbes, and Design Observer. He has been awarded eight US patents and has had his work in the SF Museum of Modern Art. Arvind received his BS in genetic engineering from UCSB and studied industrial design at SFSU. Arvind is married, with two daughters. He is a 2016 world champion in No Gi Brazilian Jiu-Jitsu, has climbed El Capitan and other big walls, and was a BASE Jumper and big wave surfer. He currently trains in MMA and BJJ.
After Future Shock Came Life Online: Growing up in a Web Connected Society
Aaron Frank
Reading Alvin and Heidi Toffler’s Future Shock today, I can’t be faulted for mistaking the work for something printed last month, not 50 years ago. Many of the themes and observations, now half a century old, still hold true.
Future Shock gave voice to a collection of ideas about the currents of change reaching from the past and shaping the modern world. And for a work so focused on change, it’s ironic that today’s society asks many of the same questions and faces similar challenges to those that absorbed the Tofflers’ attention 50 years ago.
And though 50 years have passed since the initial publication of Future Shock, the pace of change it’s focused on has not slowed.
In fact, what seems most stunning about such a prophetic piece of writing is that it was born well before one of the most significant and world-changing technological developments in human history. The book preceded the development of a notable cause of the future shock
experienced today: the internet.
The internet also had a significant birthday this year. It just turned 30. And I know this because we share a birthday party.
My birthday, March 8th, 1989, is only four days earlier than the day regularly acknowledged as the day that the modern internet was invented. Of course, the internet’s sterile beginning as Arpanet trace back to the colorless rooms of government research labs, but it wasn’t until Tim Berners-Lee proposed a meaningful new way of managing information flows using hyperlinked text that the internet became what it is today.
Soon after Berners-Lee’s proposed World Wide Web
technology, useful interfaces like web browsers and online service providers like AOL emerged. Then came world domination.
I don’t have first-hand experience of those early days on the web, but I am part of a generation of internet natives—a collection of young people whose world views, habits, expectations, communication quirks, and brains have been shaped by the forces of connectivity and life online.
We are the first such generation; we are certainly not the last.
In some ways, reflecting on life after the internet is a difficult task; it’s like trying to describe what breathing air is like or detailing the impact that tables have had on society. The internet is hard to describe because it’s simply everywhere. There’s a well-known drug dealer in San Francisco’s Dolores Park, near where I live, who accepts credit cards using a mobile internet payment system on his phone. Buyers can get a receipt for illegal drugs sent to their email (if they want).
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The internet used to be simple; today it is not. It’s as complex as we are, and we humans are strange animals. We’re at once anxious and defensive, caring and sweet, loving and angry. We’re a contradiction, and so the internet is, too. It’s both a savior and a villain.
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Growing up, my older brother and sister carried around disc players and large bricks of CD sleeves to access their music library. I can’t remember that I did. I remember downloaded libraries of music files from Napster (please don’t sue me).
I never once looked up, checked out, or even opened a physical book from my university’s library during college. I graduated relying entirely on digital libraries like JSTOR (and Wikipedia!).
My parents caught up with friends over the phone, while my friends and I spent countless hours using AIM (AOL Instant Messenger), one of the most definitive growing-up internet experiences for most people my age.
I was in high school when Facebook came on the scene, and it transformed our social dynamics almost overnight. On Sunday nights, classmates published photos of the parties they went to that weekend, and everyone suddenly knew who was where and with whom. It was an early glimpse of today’s social media influencer
culture and how status dynamics are shaped by publishing your life for all to see. The social dynamics of the lunchroom had moved online.
These may not be world-shaping examples, but they do highlight the internet’s ability to integrate with even the most mundane parts of daily life. And more than anything, for good and for bad, internet natives like me have grown up in a world defined by ever-increasing connectivity.
We’ve been connected to media from around the world, to news and information in an instant, to the pizza shop that’s only just opened down the street. And we’ve been connected to each other. The biggest concepts of the last twenty years—peer-to-peer, crowdsourcing, platform economics, the sharing economy—are all just an assortment of names referring to the same phenomenon: a world shaped by connectivity.
And connectivity breeds the speed that can create a sense of future shock. More ideas connecting, spreading, replicating, mixing, and breeding. The more connected people are, the quicker change can happen—for good or bad. Viral marketing campaigns, memes, and images from terrorist attacks are all amplified as they are tunneled through the web. Similarly, ideas for startups, inventions, and innovation can spread around the globe at an ever accelerating speed.
Now we’re seeing the early stages of a world where not just humans, but machines link up and connect as well. A network of devices can spread information to every other device on a network. A single autonomous vehicle can share what it has learned with the group, meaning the algorithms powered by connected machines can absorb thousands of hours of practice in a single moment. Machines teaching machines will stimulate the fastest pace of innovation our world has yet seen.
And perhaps the brains of young people (and I mean younger than I am) will be even more used to this kind of speed. Just as my own brain was shaped by my own era’s pace of change.
Connectivity brings dangers, too, including the challenges of designing and governing such a wired society. The internet can all too quickly become a tool of isolation, providing echo chambers for voices of the like-minded. On the internet, belief systems can be the customer, and platforms are all too willing to serve up personalized and self-reinforcing feedback loops of content. And if we’re not careful to sort out the business models which incentivize recommendation engines that polarize their users toward extreme ideas, a high school kid with a basic physics question risks landing in a convincing online community where the Earth is actually flat.
The internet used to be simple; today it is not. It’s as complex as we are, and we humans are strange animals. We’re at once anxious and defensive, caring and sweet, loving and angry. We’re a contradiction, and so the internet is, too. It’s both a savior and a villain, a place where the good and evil of our species now lives. The internet can give us a glimpse into ourselves. (And apparently, we like cats.)
And for the generations yet to come, if it can be preserved, the internet may be a monument to and record of the things that came before. Like the greatest library ever made.
As I reflect on the most basic, day-to-day ways I use the internet, aside from the extensive list of actions made possible by the hidden infrastructure of the web, they are mostly to watch European soccer in my American living room, to video call with my girlfriend when we’re halfway across the world from one another, and to stay in touch with loved ones and family.
Mainly, the internet has collapsed the distance between me and the people I care about, and the things I love.
To Future Shock
Aaron Frank is a researcher, writer, and lecturer, based at Singularity University as full-time Principal Faculty. As a writer, his work has been published in Vice’s Motherboard, Wired UK, Forbes, and Venturebeat. As a speaker, Aaron has addressed many audiences across business and government, including the CIA, the Department of Defense, and Under Armour. He routinely advises large companies, startups, and government organizations on trends related to a broad set of emerging technologies, with a focus on augmented and virtual reality.
Storytelling and Artificial Intelligence
Adrienne Mayor
Alvin Toffler observed that if we divide the past 50,000 years of human existence into life spans of about 62 years each, our species has experienced about 800 lifetimes. For about 650 of those lifetimes, we were cave dwellers. Writing only appeared during the last 70 lifetimes. But storytelling is as old as language itself. Stories have been shared ever since the first human beings huddled around a fire together.¹
As Toffler knew, our 800 lifetimes have had a cumulative impact on ideas, beliefs, and values.² Stories contain wisdom and humor. They shape culture and instill values, cooperation, and identity. Humans have an instinct
for storytelling that shapes our cognitive and behavioral development.
³ As narrative creatures, we are hard-wired to hear, tell, and remember stories. Stories are retold over thousands of years as long as they summon strong, complicated emotions, as long as they still resonate with real dilemmas, and as long as they are good to think with.
About 44 lifetimes ago (more than 2,700 years ago), hopes and fears about creating artificial life, surpassing human limits, and attempting to imitate and improve nature were imagined in ancient Greek myths, which drew on even older oral tales. One could compare such myths to maps drawn by early cartographers. As Toffler noted, the first mapmakers set down bold, imaginative concepts about uncharted worlds they’d never seen. Despite inaccuracies and conjectures, those maps guided explorations into new realities. Toffler suggested that we navigate the future’s perils and promises in the same spirit as the cartographers and explorers of the past.⁴ Stories have always charted human values—might storytelling play a role in guiding artificial intelligences?
Exuberance mixed with the anxiety that is evoked by blurring the boundaries between nature and machines might seem to be a uniquely modern response to the juggernaut of scientific progress in our age of high technology. But ambivalence surrounding the notion of making artificial life emerged thousands of years ago, in the ancient Greek world. Classical myths about Prometheus, Jason and the Argonauts, Medea, Daedalus, Hephaestus, Talos, and Pandora raised basic questions about the boundaries between biological and artificial beings. The tales helped the Greeks contemplate the promises and perils of staving off age and death, enhancing mortals’ capabilities, and replicating nature. The Greek myths spin thrilling adventures well worth knowing for their own sake. But when we recognize that some stories are inquiries into biotechne (bios, life; techne, craft), they take on new significance and seem startlingly of our moment.⁵
Homer’s Iliad (ca 700 BC) tells how Hephaestus, the god of invention and technology, built a fleet of self-propelled carts that delivered nectar and ambrosia to the gods’ banquets, returning when empty. Animated guard dogs, automatic gates, and self-regulating bellows were some of his other productions. Talos, the great bronze killer robot powered by an internal conduit filled with ichor, was constructed by Hephaestus to defend the island of Crete. Hephaestus also made a crew of life-sized golden female assistants. These androids resembled real young women, with sense and reason, strength, even voices
and were endowed with all the learning of immortals,
making them the first artificial intelligence agents in Western literature. Two thousand years later, AI developers aspire to achieve what the ancient Greeks imagined that their god of technological invention was capable of creating in his workshop.
Hephaestus’s products of biotechne were dreamed up by a culture that existed millennia before the advent of robots that win complex games, hold conversations, write poems, analyze massive mega-data, and infer human desires. But the big questions we face today are as ancient as mythological concerns: Whose desires will AI entities reflect and carry out? How and from whom will they learn?
The mythic fantasies of imitating and augmenting life inspired haunting theatrical performances and indelible illustrations in classical vase paintings, sculpture, and other artworks. Taken together, the myths, legends, and lore of past cultures about automatons, robots, replicants, animated statues, extended human powers, self-moving machines, and other artificial beings, and the historical technological wonders that followed, constitute a virtual library of ancient wisdom and experiments in thinking, a unique resource for understanding the oncoming challenges of biotechnology and synthetic life. Mythic tales about artificial life provide a historical context for warp-speed developments in artificial life and artificial intelligence—and they can enrich our discussions of the looming practical and ethical implications.
Consider Hephaestus’s fabrication of Pandora, a myth first recounted by the poet Hesiod (ca 700 BC). Pandora was a female android—evil disguised as beauty
—commissioned by the tyrannical god Zeus to punish humans for accepting the technology of fire stolen by Prometheus. Designed to entrap humans, Pandora’s sole mission on Earth was to unseal a jar of suffering and disasters to plague humankind for eternity. She was presented as a bride to Epimetheus, known for his impulsive optimism. Prometheus urged him to reject this dangerous gift
but, dazzled by Pandora’s deceptive beauty, Epimetheus ignored the warning. Modern Prometheans include Stephen Hawking, Bill Gates, and other thinkers who warn scientists to slow the reckless pursuit of AI, because they, like Prometheus, foresee that once AI is set in motion, humans will lose control. Already, deep learning algorithms allow AI to extract patterns from vast data, extrapolate to novel situations, and decide on actions without human guidance. Some AI entities have developed altruism and deceit on their own. As AI makes decisions by its own logic, will those decisions be empathetic or ethical in the human sense?
Much like computer viruses let loose by a sinister hacker who seeks to make the world more chaotic, misfortune and evil flew out of Pandora’s jar to prey upon humans. In simple fairy-tale versions of the myth, the last thing in the jar was hope, depicted as a consolation. But in the original myth, blind hope
prevented humans from looking ahead realistically. Deprived of the ability to anticipate the future, humankind resembles Epimetheus: foresight is not our strong point.
Yet foresight is crucial as human ingenuity, curiosity, and audacity continue to breach the frontiers of biological life and death and the melding of human and machine.⁶ Our world is, of course, unprecedented in the scale of techno-possibilities. But the tension between techno-nightmares and grand futuristic dreams is timeless. The ancient Greeks understood that humankind will always try to reach beyond human,
and neglect to envision consequences. Our emotions are a double-edged sword.
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In the original myth, blind hope
prevented humans from looking ahead realistically. Deprived of the ability to anticipate the future, humankind resembles Epimetheus: foresight is not our strong point.
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In 2016, Raytheon engineers gave classical Greek names to three miniature solar-powered learning
robots. Zeus, Athena, and Hercules possessed the ability to move, a craving for darkness, and the capacity to recharge in sunlight. The little robots quickly understood that they must venture into excruciating sunlight in order to recharge, or die. This simple learning conflict parallels human cognitive economy,
in which emotions help the brain strategize and allocate resources. Other experiments are aimed at teaching AI computers how humans convey goodwill to one another and how people react to negative and positive emotions.⁷ Can AI be expected ever to possess compassion or empathy for its makers and users? Artificial empathy (AE) is the phrase used for developing AI systems—such as companion robots—that would be able to detect and respond appropriately to human emotions. The Human-Robot Interaction Laboratory at Tufts University, one of the first labs to study this conundrum, maintains that we need to program AI with the human principle of do no harm.
The HRI lab developed a software system called DIARC (Distributed Integrated Affect Reflection and Cognition) to try to endow AI robots with a sense of empathy that would guide them to care about humans.⁸
Will AI entities be able to foresee consequences or recognize their own shortcomings in dealing with humans? Will AIs be aware of their own moral and emotional limits? Will AI systems know when to ask for and trust human help? These questions are crucial, especially in view of the negative effects of built-in bias in AI algorithms.⁹
Some scientists propose that human values and ethics could be taught to AI through stories. Fables, novels, and other literature,
even a database of Hollywood movie plots might serve as a kind of human user manual
for AI computers. One such system is named Scheherazade, after the heroine of One Thousand and One Nights. Scheherazade was the legendary Persian philosopher-storyteller who had memorized myriad tales from lost civilizations and saved her life by reciting these enchanting stories to her murderous captor, the king. The first stories uploaded into the Scheherazade AI were simple narratives to provide examples of how to behave like good rather than psychotic humans. With the goal of interacting empathetically with human beings and responding appropriately to their emotions, more complex narratives would be added to the computer’s repertoire.¹⁰ The idea is that stories would be valuable when AI entities achieve the human mental tool of transfer learning,
symbolic reasoning by analogy, to make appropriate decisions without human guidance. One obvious drawback of storytelling for AI is that humanly meaningful stories also describe negative behaviors that will be implanted in the system’s data archives.¹¹
Another concern is that human minds do not work just like computers. Cognitive functions, self-reflection, rational thinking, and ethical decisions depend on complex emotions. Stories appeal to emotions, pathos, the root of empathy, sharing feelings. Empathy is an essential human trait that so far has not been simulated in robots and AI. One intriguing approach is being studied by Chinese AI researcher Yi Zeng, Research Center for Brain-Inspired Intelligence, Chinese Academy of Sciences, who proposes that AI systems should be modeled on the human brain to ensure a better chance at mutual understanding between us and AI.¹²
Stories, over the ages, are the most powerful means available to our species for sharing values and knowledge across time and space.
¹³ The Greeks and other ancient societies spun tales about artificial life to try to understand humankind’s perpetual yearning to exceed biological limits—and to imagine the consequences of those desires. More than two millennia later, our understanding of AI can still be enriched by the visions and dilemmas posed in the age-old myths. Humans are experts at infusing old stories with new meaning and making up new stories to fit novel circumstances. This raises an intriguing possibility. Might myths and stories about artificial life in all its forms and across many cultures play a role in teaching AI to better understand humankind’s conflicted yearnings? Perhaps someday AI entities could benefit from knowing mortals’ most profound wishes and fears as expressed in ancient Greek mythic narratives about AI creations. Through learning that humans foresaw their existence and contemplated some of the quandaries the machines and their makers might encounter, might AI entities comprehend—even empathize
with—the dilemmas that they pose for mortals?
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Scientists also wonder whether AI can ever learn
human creativity and inspiration. AI has learned to write (bad) poetry,
but could AI weave narratives that strike human chords, evoke emotion, and enlighten?
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Scientists also wonder whether AI can ever learn
human creativity and inspiration. AI has learned to write (bad) poetry,
but could AI weave narratives that strike human chords, evoke emotion, and enlighten? As early as 1976, James Meehan developed TALESPIN, an AI storytelling program that could create simple tales about problem-solving, along the lines of Aesop’s fables and fairy tales.¹⁴ But what about tragedies, jokes both silly and clever, irony, repartee, improvisational comedy, and cathartic black humor? These abilities turn out to be essential for human mental and emotional well-being, for rapport and cooperation. Accordingly, futurists recognize that good storytellers and comedians should be included in space exploration teams.¹⁵ Will our companion AI systems be able to participate and contribute in these crucially human ways?
The rise of a Robot-Artificial Intelligence culture
no longer seems far-fetched. AI’s human inventors and mentors are already building the Robot-AI culture’s logos (logic), ethos (moral values), and pathos (emotions). As human minds and bodies and cultural outpourings are enhanced and shaped by technology and become more machine-like, perhaps robots might become infused with something like humanity. We are approaching what some call the new dawn of Robo-Humanity.
Adrienne Mayor is a research scholar in the Classics Department and History and Philosophy of Science Program at Stanford University. Her books include Gods and Robots: Myths, Machines, and Ancient Dreams of Technology (2018); The Amazons: Lives and Legends of Warrior Women across the Ancient World (2014); The First Fossil Hunters: Dinosaurs, Mammoths and Myths in Greek and Roman Times (2000); Greek Fire, Poison Arrows & Scorpion Bombs: Biological and Chemical Warfare in the Ancient World (2003); and The Poison King: Mithradates, Rome’s Deadliest Enemy (2009 National Book Award nonfiction finalist).
1 Alvin Toffler, Future Shock (Random House, 1970), 14. Parts of this essay are adapted from the Epilogue in Mayor, Gods and Robots: Myths, Machines, and Ancient Dreams of Technology (Princeton University Press, 2018). Other cultures besides the Greeks also imagined automatons and AI-like entities in myths.
2 Toffler 1970, 16-17.
3 Lucy King, Storytelling in a Brave New World,
Artificial Intelligence Magazine, Dec 3, 2018.
4 Toffler 1970, 6.
5 Mayor 2018.
6 Toffler 1970, 196-97, discusses melding human and machine.
7 Raytheon: http://www.raytheon.com/news/feature/artificial_intelligence.html
8 Shannon Fischer, AI Is Smart. Can We Make It Kind?
Tufts Magazine (Spring 2019). Isaac Asimov, I, Robot (New York: Gnome Press, 1950).
9 Sarah Scheffler; Adam D. Smith; Ran Canetti, Artificial Intelligence Must Know When to Ask for Human Help,
The Conversation, March 7, 2019. https://theconversation.com/artificial-intelligence-must-know-when-to-ask-for-human-help-112207
10 Kanta Dihal agrees that stories can teach compassion and empathy,
but letting AIs read fiction will not help them understand humans,
because compassion and empathy do not arise from deep insights into other minds.
Dihal, Can We Understand Other Minds? Novels and Stories Say No,
Aeon, Sept 5, 2018. Our own capacity to imagine other minds is extremely limited,
especially in science fiction in which descriptions of extraterrestrials and AI entities resort to anthropomorphic fantasies. Embodiment
is how we understand one another, so it is very difficult for us--and for AI--to imagine inhabiting the physical body of someone else if one cannot actually feel the sensations experienced by another body. Instead, Dihal maintains that only a glimpse
of the felt experience of otherness allows us to empathize with a conscious lifeform profoundly alien to us, to have an impulse to keep it from harm and even communicate in some way. But how this key glimpse
might be extrapolated to programming AI entities toward ‘feeling
empathy with alien humans remains to be seen. Compare the famous mind-body thought experiment by Thomas Nagel, What Is It Like to Be a Bat?
Philosophical Review 83 (Oct 1974): 435-50.
11 Scheherazade AI: Alison Flood, Robots Could Learn Human Values by Reading Stories,
The Guardian, Feb 18, 2016. http://www.news.gatech.edu/2016/02/12/using-stories-teach-human-values-artificial-agents. http://realkm.com/2016/01/25/teaching-ai-to-appreciate-stories/ Adam Summerville et al., Procedural Content Generation via Machine Learning (PCGML),
2017, arXiv preprint arXiv:1702.00539, pp 1-10. https://arxiv.org/pdf/1702.00539.pdf
12 Yi Zeng, Enmeng Lu, Cunqing Huangfu, Linking Artificial Intelligence Principles,
Safe Artificial Intelligence (AAAI SafeAI-2019) Workshop, Jan 27, 2019 http://ceur-ws.org/Vol-2301/paper_15.pdf. Yi Zeng’s webpage: http://brain-eng.ia.ac.cn/~yizeng/
13 George Zarkadakis, In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence (New York: Pegasus, 2015), 27, 305.
14 James R. Meehan, Tale-spin, an interactive program that writes stories,
Proceedings of the 5th International Joint Conference on Artificial Intelligence, vol 1, ICJAI (San Francisco: Morgan Kaufmann, 1977), pp 91-98. Mark Owen Riedl and Vadim Bulitko, Interactive Narrative: An Intelligent Systems Approach
AI Magazine 34, no. 1 (2013). https://www.aaai.org/ojs/index.php/aimagazine/article/view/2449
15 Ian Sample, Jokers Please: First Human Mars Mission May Need Onboard Comedians,
The Guardian, Feb 15, 2019. King 2018.
16 Dawn of RoboHumanity
: Faith Popcorn, The Humanoid Condition,
in The Economist special issue The World in 2016,
pp 112-13.
The 801st Lifetime
Grady Booch
Facebook’s original motto—Move fast and break things
—is everything that Alvin Toffler predicted and everything that he feared. In 1970, the year Future Shock was published, the entire internet (actually, the ARPANET, as it was then called) consisted of exactly 22 computers distributed across 13 locations, all within the continental United States¹. Most computers of that time were large beasts caged in air-conditioned rooms with raised floors, attended to by a programming priesthood carrying slide rules and punched cards. The microprocessor had not yet been invented, although the minicomputer was beginning to take hold. The US had just placed two humans on the moon, their journey made possible by computers on the ground that directed the course of their fragile spacecraft, and by computers on the Lunar Excursion Module that ferried Armstrong and Aldrin safely to the lunar surface and back.
Toffler’s thesis was simply that "there are discoverable limits to the amount of change that the human organism can absorb, and that by endlessly accelerating change without first determining these limits, we may submit masses of men to demands they simply cannot tolerate². Although computing was just beginning to reach these masses of men (and women) by 1970, Toffler recognized that computing was one of the more important factors fueling this acceleration of change. The computer, he noted
has become a major force behind the acceleration of knowledge acquisition³. Toffler predicted the rise of social networks (or as he called them,
social future assemblies)⁴, neural networks⁵, and virtual reality (what he called
simulated environments)⁶; he pondered the ethical issues surrounding humanoid robots in general and sexbots in particular⁷; and he even foretold the rise of the cognitive assistant⁸. His OLIVER (the On-Line Interactive Vicarious Expediter and Responder) was nothing less than your mechanical alter ego,
a more advanced form of Vannevar Bush’s memex⁹ yet more personal and more fully embodied in the world.
Future Shock was very much a product of its time: the Vietnam War, the race riots of the 1960s, the birth control pill and the accompanying sexual revolution, the fading of the post-war economic boom—all these served as the lens through which Toffler presented his thesis. It was indeed a time of breathtakingly rapid change, and Future Shock explored the nature of that change as well as of the first derivative of change in an extraordinarily comprehensive and prescient manner.
And yet, Toffler admitted that computing might impact the second derivative of change: in the fullness of time, the rate of change of change itself would increase in profound ways. We have scarcely touched on the computer revolution,
he noted, "and the far ramifying changes that must follow in its churning wake¹⁰."
In our present time, just 50 years after the publication of Future Shock, the internet encompasses more than 20 billion computers¹¹ organized across more than 300 million domains and distributed across the entire Earth. Most computers in our time are hidden from sight, embedded in small devices as part of the Internet of Things (IoT) or light enough to be carried about in a pocket. Indeed, there are over 3 billion smartphones in the world¹² and almost 60% of the world’s nearly 8 billion souls have internet access, approaching 90% penetration within developed countries¹³. A typical smartphone of our era has 1,000 times the computational power, 80 times the storage, and 1/1000ths the price of the largest computers available in 1970¹⁴. Computers are no longer rare objects of curiosity, but rather they are a part of the ambiance of daily life, found in the depths of our oceans, in the interstitial spaces of our homes and our businesses and our cities, and even, for some, a literal part of our bodies. We have flung computers into the cosmos: Mars is a planet inhabited by robots, and the Voyager 1 spacecraft has crossed the termination shock on its way to interstellar space, with six computers on board¹⁵.
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Future Shock was very much a product of its time: the Vietnam War, the race riots of the 1960s, the birth control pill and the accompanying sexual revolution, the fading of the post-war economic boom-all these servedas the lens through which Toffler presented his thesis.
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In 1965, Gordon Moore observed that the number of transistors in an integrated circuit doubles about every two years¹⁶. Moore’s Law has proven to hold true even to this day (Figure 1¹⁷): some of our largest microprocessors now contain over 20 billion transistors. While no exponential growth like this is sustainable, the industry shows no immediate signs of slowing down. As Richard Feynman has observed, there is plenty of room at the bottom¹⁸
and even now there are results in the laboratory that demonstrate we can construct a transistor from a single phosphorous atom and store one bit of information in the spin of an electron.
Perhaps even more startling is the exponential rise of software, something that Toffler did not foresee. Marc Andreessen declared that "software is eating the world¹⁹, noting that
more and more major businesses and industries are being run on software and delivered as online services—from movies to agriculture to national defense. Six decades into the computer revolution, four decades since the invention of the microprocessor, and two decades into the rise of the modern Internet, all of the technology required to transform industries through software finally works and can be widely delivered at global scale. He goes on to predict that
over the next 10 years, I expect many more industries to be disrupted by software."
Figure 1 • Moore’s Law: The number of transistors on integrated circuit chips (1971-2018)
Moore’s law describes the empirical regularity that the number of transistors on integrated circuits doubles approximately every two years. This advancement is important as other aspects of technological progress—such as processing speed or the price of electronic products—are linked to Moore’s Law.
Data source: Wikipedia (https://en.wikipedia.org/wiki/Transistor_count). Data visualization is available at OurWorldinData.org. There you find more visualization ad research on this topic. • Licensed under CC-BY-SA by the author Max Roser.
There is that word again: disrupted. In 1970, Toffler warned us of the limits of our ability to metabolize the disruption that resulted from accelerating change. Now, some 50 years later, society has come to embrace disruption as something desirable, something that entrepreneurs seek to create, to which businesses aspire so as to reinvent themselves, and even to which the sciences, organized religions, the arts, and governments of the world strive. It is as if we have chosen to ride Toffler’s shock wave, not because we fear it, but rather because we seek to use it to propel ourselves into a more perfect future, as if disruption were our societal gravitational slingshot. Move fast,
said Mark Zuckerberg, and break things.
That computing has enabled us to move fast is unmistakable. Owing to the scaling effects of which Andreessen speaks, the rate at which new technology is being adopted appears to be increasing (Figure 2²⁰).
In the wake of all this expected disruption, Toffler lamented the transience of modern society and of our values, and he spoke of the danger of the over-stimulated individual²¹. Even today, Dr. Sherry Turkle has observed how technology has become the architect of our intimacies²².
With computing, we have seen the rise of the surveillance state. One can make a case that in his classic book, 1984, George Orwell was actually an optimist. Witness the slow evaporation of the middle class, the rise of wealth inequality, and weaponization of the internet for political and military means.
The pace of just about everything—transportation, weapons, the flow of information—is accelerating. But as life gets faster, will our brains, our society, and our decision-making processes be able to keep up?
Those sentiments are Toffler’s, but they are not his words: rather, they belong to a contemporary anthropologist, Kathryn Bouskill, from a recent TEDx talk²³. Even after a half-century of rampant change, we are asking ourselves the same questions.
Figure 2 • Technology adoption in US households
Technology adoption rates, measured as the percentage of households in the United States using a particular technology.
Source: Comin and Hobijn (2004) and others; OurWorldinData.org/technology-adoption/ • CC BY
Since the publication of Future Shock, we appear to have learned some answers to Toffler’s and Bouskill’s question. Facebook’s original motto move fast and break things
evolved to be "move fast with stable infrastructure²⁴." Change is inevitable and change is good, but if everything is changing all at once, there is nothing on which to build the future. We as individuals and society as a whole are best able to absorb change, embrace it, and grow from it, if and only if we have a center. Paris’s beloved Notre Dame was almost completely destroyed by fire in early 2019, but at this moment there are oak trees in Versailles that were planted hundreds of years ago for the very purpose of restoration²⁵. This is the nature of civilization, even in the face of radical change.
There exists considerable evidence that humankind has not only managed to metabolize all this change, we are the better for it. Stephen Pinker argues that violence has declined²⁶. Studies by the World Bank indicate that we are on a path to eliminate extreme poverty across the globe²⁷. Around the world, mortality is down and life spans are up²⁸.