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Kindle Notes & Highlights
by
Kevin Kelly
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July 27 - August 11, 2020
the computer age did not really start until this moment, when computers merged with the telephone.
Tweeting every five minutes is not inevitable in another way. We are morphing so fast that our ability to invent new things outpaces the rate we can civilize them.
processes—the engines of flux—are now more important than products. Our greatest invention in the past 200 years was not a particular gadget or tool but the invention of the scientific process itself. Once we invented the scientific method, we could immediately create thousands of other amazing things we could have never discovered any other way.
shows all evidence of continuing for at least three more decades. I call these metatrends “inevitable” because they are rooted in the nature of technology, rather than in the nature of society.
All of us—every one of us—will be endless newbies in the future simply trying to keep up. Here’s why: First, most of the important technologies that will dominate life 30 years from now have not yet been invented, so naturally you’ll be a newbie to them. Second, because the new technology requires endless upgrades, you will remain in the newbie state. Third, because the cycle of obsolescence is accelerating (the average lifespan of a phone app is a mere 30 days!), you won’t have time to master anything before it is displaced, so you will remain in the newbie mode forever. Endless Newbie is the
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In the protopian mode, things are better today than they were yesterday, although only a little better. It is incremental improvement or mild progress.
The problems of today were caused by yesterday’s technological successes, and the technological solutions to today’s problems will cause the problems of tomorrow.
Computing pioneer Vannevar Bush outlined the web’s core idea—hyperlinked pages—way back in 1945, but the first person to try to build out the concept was a freethinker named Ted Nelson, who envisioned his own scheme in 1965.
The revolution launched by the web was only marginally about hypertext and human knowledge. At its heart was a new kind of participation that has since developed into an emerging culture based on sharing.
from our perspective now, the greatest online things of the first half of this century are all before us.
Can you imagine how awesome it would have been to be an innovator in 2016? It was a wide-open frontier! You could pick almost any category and add some AI to it, put it on the cloud.
It is hard to imagine anything that would “change everything” as much as cheap, powerful, ubiquitous artificial intelligence. To begin with, there’s nothing as consequential as a dumb thing made smarter. Even a very tiny amount of useful intelligence embedded into an existing process boosts its effectiveness to a whole other level. The advantages gained from cognifying inert things would be hundreds of times more disruptive to our lives than the transformations gained by industrialization.
Now everything that we formerly electrified we will cognify. There is almost nothing we can think of that cannot be made new, different, or more valuable by infusing it with some extra IQ. In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. Find something that can be made better by adding online smartness to it.
The more unlikely the field, the more powerful adding AI will be.
Traditional processors required several weeks to calculate all the cascading possibilities in a neural net with 100 million parameters. Ng found that a cluster of GPUs could accomplish the same thing in a day.
This perfect storm of cheap parallel computation, bigger data, and deeper algorithms generated the 60-years-in-the-making overnight success of AI.
In a superconnected world, thinking different is the source of innovation and wealth. Just being smart is not enough. Commercial incentives will make industrial-strength AI ubiquitous, embedding cheap smartness into all that we make. But a bigger payoff will come when we start inventing new kinds of intelligences and entirely new ways of thinking—in
One way that would help us to imagine what greater yet different intelligences would be like is to begin to create a taxonomy of the variety of minds. This matrix of minds would include animal minds, and machine minds, and possible minds, particularly transhuman minds, like the ones that science fiction writers have come up with.
Our most important mechanical inventions are not machines that do what humans do better, but machines that can do things we can’t do at all. Our most important thinking machines will not be machines that can think what we think faster, better, but those that think what we can’t think.
In the grandest irony of all, the greatest benefit of an everyday, utilitarian AI will not be increased productivity or an economics of abundance or a new way of doing science—although all those will happen. The greatest benefit of the arrival of artificial intelligence is that AIs will help define humanity. We need AIs to tell us who we are.
The rote tasks of any information-intensive job can be automated.
our inventions assign us our jobs. Each successful bit of automation generates new occupations—occupations we would not have fantasized about without the prompting of the automation.
success will go to those who best optimize the process of working with bots and machines.
Wow, now that robots are doing my old job, my new job is much more interesting and pays more!
Unless it occurs in real time, it does not exist. The corollary—and this is important—is that in order to operate in real time, everything has to flow.
Real time is human time.
The move from stocks to flows, from fixity to fluidity, is not about leaving behind stability. It is about harnessing a wide-open frontier where so many additional options based on mutability are possible. We are exploring all the ways to make things out of ceaseless change and shape-shifting processes.
Today, we can highlight a passage. Tomorrow, we will be able to link passages. We can add a link from a phrase in the book we are reading to a contrasting phrase in another book we’ve read, from a word in a passage to an obscure dictionary, from a scene in a book to a similar scene in a movie.
which permits it to be read on a screen anywhere. But this vision misses the chief revolution birthed by scanning books: In the universal library, no book will be an island. It’s all connected.
Book reading strengthened our analytical skills, encouraging us to pursue an observation all the way down to the footnote. Screening encourages rapid pattern making, associating one idea with another, equipping us to deal with the thousands of new thoughts expressed every day. Screening nurtures thinking in real time.
The status of a new creation is determined not by the rating given to it by critics but by the degree to which it is linked to the rest of the world. A person, artifact, or fact does not “exist” until it is linked.
Every year I own less of what I use. Possession is not as important as it once was. Accessing is more important than ever.
Ownership is casual, fickle. If something better comes along, grab it. A subscription, on the other hand, gushes a never-ending stream of updates, issues, and versions that force a constant interaction between the producer and the consumer.
The general approach for entrepreneurs is to unbundle the benefits of transportation (or any X) into separate constituent goods and then recombine them in new ways.
the long-term trend in our modern lives is that most goods and services will be short-term use. Therefore most goods and services are candidates for rental and sharing.
intangible goods and services don’t work this way. They are “nonrival,” which means you can rent the same movie to as many people who want to rent it this hour. Sharing intangibles scales magnificently. This ability to share on a large scale without diminishing the satisfaction of the individual renter is transformative.
If McLuhan is right that tools are extensions of our selves—a wheel an extended leg, a camera an extended eye—then the cloud is our extended soul. Or, if you prefer, our extended self. In one sense, it is not an extended self we own, but one we have access to.
As we increase dematerialization, decentralization, simultaneity, platforms, and the cloud—as we increase all those at once, access will continue to displace ownership. For most things in daily life, accessing will trump owning.
The largely unarticulated but intuitively understood goal of sharing technology is this: to maximize both the autonomy of the individual and the power of people working together.
even though a purely decentralized power won’t take us all the way, it is almost always the best way to start. It’s fast, cheap, and out of control.
The largest, fastest growing, most profitable companies in 2050 will be companies that will have figured out how to harness aspects of sharing that are invisible and unappreciated today.
We filter by ourselves: We make choices based on our own preferences, by our own judgment. Traditionally this is the rarest filter.
The danger of being rewarded with only what you already like, however, is that you can spin into an egotistical spiral, becoming blind to anything slightly different, even if you’d love it. This is called a filter bubble. The technical term is “overfitting.” You get stuck at a lower than optimal peak because you behave as if you have arrived at the top, ignoring the adjacent environment.
Heavily cognified, incredibly smart filters can be applied to any realm with a lot of choices—which will be more and more realms. Anywhere we want personalization, filtering will follow.
even in benign filtering, by design we see only a tiny fraction of all there is to see. This is the curse of the postscarcity world: We can connect to only a thin thread of all there is.
From the human point of view, a filter focuses content. But seen in reverse, from the content point of view, a filter focuses human attention. The more content expands, the more focused that attention needs to become.
Way back in 1971 Herbert Simon, a Nobel Prize–winning social scientist, observed, “In an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes. What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention.”
Simon’s insight is often reduced to “In a world of abundance, the only scarci...
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Platforms use serious computational power to match the expanding universe of advertisers to the expanding universe of consumers. Their AIs seek the optimal ad at the optimal time in the optimal place and the optimal frequency with the optimal way to respond. While this is sometimes termed personalized advertising, it is in fact far more complex than just targeting ads to individuals. It represents an ecosystem of filterings, which have consequences beyond just advertising.
Would you rather employ the expensive studio pros who come up with a single campaign using their best guess, or a thousand creative kids endlessly tweaking and testing their ads of your product?