Globalization. It seems to be a term of another era. Simpler. Less chaotic. Quieter, perhaps. Civil, if that remains a relevant concept.
In this episode, we return to that idea as part of our recurring series “We Read It So You Don’t Have To.” Specifically, we look at the role of technology in linking national economies together. Our intrepid reviewing team considers The Great Convergence by Richard Baldwin.
Globalization. It seems to be a term of another era. Simpler. Less chaotic. Quieter, perhaps. Civil, if that remains a relevant concept.
In this episode, we return to that idea as part of our recurring series “We Read It So You Don’t Have To.” Specifically, we look at the role of technology in linking national economies together. Our intrepid reviewing team considers The Great Convergence by Richard Baldwin.
[18420]
Things are never as clear as they seem. Never as obvious. Never as straightforward as you would like.
It should be simple. You get an idea. You make a product. You take it to the market. Let your customers decide for good or for ill.
But that simplicity masks the fundamental conflict. A conflict over goals. A conflict that is often deeply hidden in the acts and decisions of daily life.
Cast members Caraid O’Brien and Josh LaForce talk about the current series of the podcast and the challenges of preparing a podcast while driving through the streets of San Jose, California.
Things are never as clear as they seem. Never as obvious. Never as straightforward as you would like.
It should be simple. You get an idea. You make a product. You take it to the market. Let your customers decide for good or for ill.
But that simplicity masks the fundamental conflict. A conflict over goals. A conflict that is often deeply hidden in the acts and decisions of daily life.
Cast members Caraid O’Brien and Josh LaForce talk about the current series of the podcast and the challenges of preparing a podcast while driving through the streets of San Jose, California.
[18142]
You’ve intended to read The Second Machine Age, by Erik Brynjolfsson and Andrew McAffee but just haven’t found the time. It’s an important book, to be sure, and explains a lot about the future of work. But it’s fat. And it’s say on your Amazon wish list for what, three years?
This is how we can help. Sulley from our Policy Office and Maddie, our in house entrepreneur have carefully read the book (more or less) and present a detailed and careful summary for your edification. Remember, we read it so you don’t have to.
You’ve intended to read The Second Machine Age, by Erik Brynjolfsson and Andrew McAffee but just haven’t found the time. It’s an important book, to be sure, and explains a lot about the future of work. But it’s fat. And it’s say on your Amazon wish list for what, three years?
This is how we can help. Sulley from our Policy Office and Maddie, our in house entrepreneur have carefully read the book (more or less) and present a detailed and careful summary for your edification. Remember, we read it so you don’t have to.
[18410]
Boards. Why do you need them? Just they don’t get in the way? The podcast How We Manage Stuff will soon start a new series that deals with technology, organizations and governance in a effort to help you understand how to bring new ideas to market. Cast Member Zoe Anastassiou and Geoffrey Grier
Boards. Why do you need them? Just they don’t get in the way? The podcast How We Manage Stuff will soon start a new series that deals with technology, organizations and governance in a effort to help you understand how to bring new ideas to market. Cast Member Zoe Anastassiou and Geoffrey Grier
[18804]
When it falls apart, it just goes. You think you understand something. You got the idea right. You’re ready to act, to executive. Then all of a sudden, you realize that your approach has a flaw, a fundamental flaw. It would work perfectly well, IF you could have an infinite pile of turtles. Turtles, Turtles, all the way down.
If this doesn’t make sense, listen to Bix. He’ll make the idea clear.
No audio results
When it falls apart, it just goes. You think you understand something. You got the idea right. You’re ready to act, to executive. Then all of a sudden, you realize that your approach has a flaw, a fundamental flaw. It would work perfectly well, IF you could have an infinite pile of turtles. Turtles, Turtles, all the way down.
If this doesn’t make sense, listen to Bix. He’ll make the idea clear.
[18805]
It’s not a question of smarts. It’s a question of how it got that way. A lot of the smart apps are fairly straight forward – classic computing ideas repackaged in a clever case. You start taking the p hone apart and you a lot of ideas that aren’t that clever experience t for the effort that it took to get them into that little case.
So we ask the question “How?” And of course, Anna has her ideas. Maybe she’s right. Maybe she’s not. But someone had to decide why the map app was important and why it was smart.
Anna and her crew take apart the smartphone as part of her series on Artificial Intelligence.
It’s not a question of smarts. It’s a question of how it got that way. A lot of the smart apps are fairly straight forward – classic computing ideas repackaged in a clever case. You start taking the p hone apart and you a lot of ideas that aren’t that clever experience t for the effort that it took to get them into that little case.
So we ask the question “How?” And of course, Anna has her ideas. Maybe she’s right. Maybe she’s not. But someone had to decide why the map app was important and why it was smart.
Anna and her crew take apart the smartphone as part of her series on Artificial Intelligence.
[18525]
A metal lathe. A 40 year old clasp. A playlist of unfortunate songs. Most unfortunate. A suspicious relationship between Henry Ford and Thomas Alva Edison. All of these point to questions about what we know about our jobs and know that knowledge can be captured by machines. Deep learning. Big Data.
Capturing what we know. A new thing, right? Is it only the new generation, the millennial who squint into the future with the gloaming dread that there will be nothing for them in the future? Nothing at all?
The answer is “Not quite.” Those with the greatest fear of automation and smart machines are those at the end end of their careers, not at the start. Those that realize that their skills will not survive them. Furthermore, one quality of work makes it possible to capture knowledge, the fact that we tend to do jobs in sequence, that we have a set of steps that we follow to get things done.
To protect yourself, do you need to be good at things that are done out of order? That wander from task to task? So we ask in our story about captured knowledge.
A metal lathe. A 40 year old clasp. A playlist of unfortunate songs. Most unfortunate. A suspicious relationship between Henry Ford and Thomas Alva Edison. All of these point to questions about what we know about our jobs and know that knowledge can be captured by machines. Deep learning. Big Data.
Capturing what we know. A new thing, right? Is it only the new generation, the millennial who squint into the future with the gloaming dread that there will be nothing for them in the future? Nothing at all?
The answer is “Not quite.” Those with the greatest fear of automation and smart machines are those at the end end of their careers, not at the start. Those that realize that their skills will not survive them. Furthermore, one quality of work makes it possible to capture knowledge, the fact that we tend to do jobs in sequence, that we have a set of steps that we follow to get things done.
To protect yourself, do you need to be good at things that are done out of order? That wander from task to task? So we ask in our story about captured knowledge.
[18520]
Do smart machines help us understand smarts? More important, do we learn something about intelligence by working with artificial intelligence? The results are mixed. Current researchers regularly argue that their work is inspired by their understanding of the brain but that claim still begs the question, “do these machines teach us about through?” Some of the more common forms of smart machines, so common we not longer think of them as smart, rely on various forms of search. And of course, we can ask, is searching smart, even when we find a good answer? Third in a series on smart machines hosted by Anna-the-Intern.
Do smart machines help us understand smarts? More important, do we learn something about intelligence by working with artificial intelligence? The results are mixed. Current researchers regularly argue that their work is inspired by their understanding of the brain but that claim still begs the question, “do these machines teach us about through?” Some of the more common forms of smart machines, so common we not longer think of them as smart, rely on various forms of search. And of course, we can ask, is searching smart, even when we find a good answer? Third in a series on smart machines hosted by Anna-the-Intern.
[18515]
A series on smart technology technology and autonomous vehicles is running when a self-driving Uber car goes astray. It probably does not mark the end of the technology. However it causes us to remember the true nature of what we are doing and how the public may not forever sustain its enthusiasm for digital products or its willingness to serve as the test subjects for new ideas.
Thoughts on the Tempe crash from the staff of How We Manage Stuff.
No audio results
A series on smart technology technology and autonomous vehicles is running when a self-driving Uber car goes astray. It probably does not mark the end of the technology. However it causes us to remember the true nature of what we are doing and how the public may not forever sustain its enthusiasm for digital products or its willingness to serve as the test subjects for new ideas.
Thoughts on the Tempe crash from the staff of How We Manage Stuff.
[18512]