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.
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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.
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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]
It’s rarely a direct replacement. Rarely do smart machines actually change the workplace as they were intended. It’s always a change to some side occupation, an occupation that you may not connect with smart technology. as
Our series on smart machines and work considers the contributions of John McCarthy, one of the founders of the field of Artificial Intelligence. McCarthy had grand plans for his work. He hoped to build a machine that could do the kind of logical reasoning that Euclid did for geometry. The question is, of course, “Was McCarthy’s 
work a success?” but the answer is not measured by the parallel query “How many geometers did McCarthy put out of work?”
It’s rarely a direct replacement. Rarely do smart machines actually change the workplace as they were intended. It’s always a change to some side occupation, an occupation that you may not connect with smart technology. as
Our series on smart machines and work considers the contributions of John McCarthy, one of the founders of the field of Artificial Intelligence. McCarthy had grand plans for his work. He hoped to build a machine that could do the kind of logical reasoning that Euclid did for geometry. The question is, of course, “Was McCarthy’s work a success?” but the answer is not measured by the parallel query “How many geometers did McCarthy put out of work?”
[18510]
Are machines taking are jobs? Or perhaps more to the point, are you concerned that machines, smart machines, are poised to take your job?
With this episode, we start an examination of smart machines as a substitute for workers. We put it in the hands of our intern, Anna. After all, more of her career is likely to be taken by a machine than anyone else.
As always, we start with the big picture, the context for work. Just because a machine is capable of doing your work doesn’t mean that it makes sense for it to do your job. We start the series with a visit to an automated office, or more accurately, an office that we were told had been automated. Our cast doesn’t quite find what they expected, which gets us asking the question “How Smart Are You?”
Are machines taking are jobs? Or perhaps more to the point, are you concerned that machines, smart machines, are poised to take your job?
With this episode, we start an examination of smart machines as a substitute for workers. We put it in the hands of our intern, Anna. After all, more of her career is likely to be taken by a machine than anyone else.
As always, we start with the big picture, the context for work. Just because a machine is capable of doing your work doesn’t mean that it makes sense for it to do your job. We start the series with a visit to an automated office, or more accurately, an office that we were told had been automated. Our cast doesn’t quite find what they expected, which gets us asking the question “How Smart Are You?”
[18505]
Do young employees find it hard to finish tasks? Is it somehow difficult for them to bring a job to completion? So we ask the question and start to look for an answer.
Our cast moves from the problem of finishing tasks to the problem of finishing MOOCS – Those Massive Open OnLine Courses that seem to be everywhere and no where at once. And from finishing MOOCs, they return to the problem of finishing tasks and grasp, for a moment, that they are the same thing. In a world where information is ubiquitous, why do we need to finish anything?
Do young employees find it hard to finish tasks? Is it somehow difficult for them to bring a job to completion? So we ask the question and start to look for an answer.
Our cast moves from the problem of finishing tasks to the problem of finishing MOOCS – Those Massive Open OnLine Courses that seem to be everywhere and no where at once. And from finishing MOOCs, they return to the problem of finishing tasks and grasp, for a moment, that they are the same thing. In a world where information is ubiquitous, why do we need to finish anything?
Podcast written by Kit Kuksenok & David Alan Grier
[17505]
He is remembered as as the founder of the Electronic Freedom Foundation. Or, alternatively, as a lyricist for the Grateful Dead and link between counterculture and technology. However, John Perry Barlow was the writer that argued that cyberspace was a frontier and that settling that frontier would require more thought that we were prepared to give.
He is remembered as as the founder of the Electronic Freedom Foundation. Or, alternatively, as a lyricist for the Grateful Dead and link between counterculture and technology. However, John Perry Barlow was the writer that argued that cyberspace was a frontier and that settling that frontier would require more thought that we were prepared to give.
[18415]
We sent the cast to Bangalore. We went looking for an office. It was a hard task. Harder than any of them thought. There are a lot of choices for a small tech organization in india and a lot of opinions among the cast. So they ultimately resorted to numbers – not because they trusted numbers. They used a numerical process to build trust in themselves.
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We sent the cast to Bangalore. We went looking for an office. It was a hard task. Harder than any of them thought. There are a lot of choices for a small tech organization in india and a lot of opinions among the cast. So they ultimately resorted to numbers – not because they trusted numbers. They used a numerical process to build trust in themselves.
[17340]
Machine Intelligence is going to take over the world, right? We know this? Driverless cars. Computer bosses. All the information that you could ever know captured in a few silicon chips? Can the new generation of workers look ever look forward to having a satisfying career again? The Podcast How We Manage Stuff is about to embark on a study of machine intelligence, as our very intelligent intern, Anna, explains.
Machine Intelligence is going to take over the world, right? We know this? Driverless cars. Computer bosses. All the information that you could ever know captured in a few silicon chips? Can the new generation of workers look ever look forward to having a satisfying career again? The Podcast How We Manage Stuff is about to embark on a study of machine intelligence, as our very intelligent intern, Anna, explains.
[17811]
Can Scrum Masters learn something from Sous Chefs? Or Sous Chefs from Scrum Masters? Both represent a kind of job that is being overlooked in this age. Skilled. Managerial. Professional. Disciplined. Yet not quite academic. Our Master Scrum Master, Bix, and the Sous Chef from Washington’s Green Rice and Natto talk about their respective jobs and ultimately get sidetracked by the roasted Sweet Potatoes.
Can Scrum Masters learn something from Sous Chefs? Or Sous Chefs from Scrum Masters? Both represent a kind of job that is being overlooked in this age. Skilled. Managerial. Professional. Disciplined. Yet not quite academic. Our Master Scrum Master, Bix, and the Sous Chef from Washington’s Green Rice and Natto talk about their respective jobs and ultimately get sidetracked by the roasted Sweet Potatoes.
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