This is my dumping ground for quotes and other stuff relating to the wonderful world of digital & communications.
This chainsaw/chisel logic has led some to suggest that technological evolution is more important to humanity’s near future than biological evolution; nowadays, it is not the biological chisel but the technological chainsaw that is most quickly redefining what it means to be human. The devices we use change the way we live much faster than any contest among genes. We’re the block of wood, even if, as I wrote in January, sometimes we don’t even fully notice that we’re changing
“Polanyi’s Paradox,” named for the Hungarian thinker Michael Polanyi, who observed that “we know more than we can tell,” meaning humans can do immensely complicated things like drive a car or tell one species of bird from another without fully understanding the technical details.
“Following Polanyi’s observation,” Mr. Autor writes, “the tasks that have proved most vexing to automate are those demanding flexibility, judgment, and common sense — skills that we understand only tacitly.”
The large amount of labor-intensive, low-margin assembly work still done in China is a reason the country lags behind neighbors South Korea and Japan in automation on a per capita basis. Those countries are major suppliers of advanced electronic components—such as memory chips and liquid-crystal-display screens—the stable designs and higher profit margins of which have helped their production become more automated. South Korea and Japan each has more than 300 multipurpose industrial robots per 10,000 workers in manufacturing, according to the International Federation of Robotics. China’s rate is 23 per 10,000, less than half the global average…
Automating electronics assembly is tough because many gadgets aren’t produced on the scale necessary to justify the cost of setting up a robot that needs frequent readjustments as models change. …
Standardized components like circuit boards, on the other hand, can be made in quantities that justify using machines
Workers building the world’s biggest ships could soon don robotic exoskeletons to lug around 100-kilogram hunks of metal as if they’re nothing
“As soon as it works, no one calls it AI any more.” - John McCarthy
The AI does not hate you, nor does it love you, but you are made out of atoms which it can use for something else.
We are just asking the question: If we really wanted to be proactive, what would we need to know? You need to know what the fixed, well-running thing should look like.”
The project won’t be restricted to specific diseases, and it will collect hundreds of different samples using a wide variety of new diagnostic tools. Then Google will use its massive computing power to find patterns, or “biomarkers,” buried in the information. The hope is that these biomarkers can be used by medical researchers to detect any disease a lot earlier.
Any text that relies on platitudes says not much at all; in a message-to-the-troops that’s supposed to give direction, irrefutable statements are deadly
Many mathematicians work for the NSA or organizations with ties to it. They’re involved in facial recognition development and big data aspects of mass surveillance. If privacy disappears from the face of the Earth, mathematicians will be some of the primary culprits.
The larger debate is about what companies can do to their users without asking them first or telling them about it after. I asked Facebook yesterday what the review process was for conducting the study in January 2012, and its response reads a bit tone deaf. The focus is on whether the data use was appropriate rather than on the ethics of emotionally manipulating users to have a crappy day for science.
global high broadband adoption (speeds above 10 Mbps) passed 20 percent for the first time ever this quarter
robots together with competition from imports and off-shoring—moving plants into other countries—all have together worked to enormously reduce the number of manufacturing jobs in the US, down maybe 8m over the last 15 years. And I expect that will continue.
While robots will continue to replace human jobs in manufacturing, there are ever-fewer jobs to be replaced. I have described this whole process as “robots and manufacturing present a beautiful ballet performed on a shrinking stage.”
we must arrive at a less hysterical approach to the robots business. Technological change is not new. It can, as Ernest Hemingway said of bankruptcy, appear gradually then suddenly. But this is no excuse for neo-Luddism or for fatalism. Our culture should be one that embraces technological change and remembers that it is an exclusively human ability to make moral decisions