The post social age is not the age built after the age of social media, it’s the age built on top of social media.
For more about Tac Anderson, (and my disclosures) go here.

 

This is awesome. I’d love for someone to do a more complete version of this, maybe using Google Book data. I think it’d be very insightful. 
(via A Visual Timeline of the Future | Brain Pickings)

This is awesome. I’d love for someone to do a more complete version of this, maybe using Google Book data. I think it’d be very insightful. 

(via A Visual Timeline of the Future | Brain Pickings)

3-D Printing Today is Not What 3-D Printing Will Be Tomorrow

Gary Stix, writes a great counterpoint to the hype over the 3D revolution. But there’s a problem with it and I’m going to sum it up this way:

3D printers don’t make sense in my current view of the world. 

See what I did there, with the italics? I completely agree with Mr Stix. In the current reality that we operate under, formed plastic doesn’t make much more than toys. But Plastic is far more versatile than we tend to give it credit for. The reason we relegate plastic to the “Tchotchke” category is because it is cheap to make. 

So easy in fact that 3D printers will allow us to rethink what we use plastic for. I can tell you right off the bat that LEGO and Mattel are going to see a drop in revenue over the next decade. 

But beyond toys, 3D printing (as it is today) still isn’t what the revolution is all about. When we start to move beyond just plastics and start to incorporate other CAM type manufacturing into the desktop workbench we’ll really see things change. 

Plus the 3D printing revolution isn’t just about what an individual can make, it’s about what they can *prototype* because once you prototype something you can manufacture it anywhere in the world out of any material for much lower costs than you could before. 

Cops Embrace Crime-Predicting Algorithm

Very interesting. I especially love that the software is based on anthropological research. 

Software tested in Los Angeles was twice as good as human analysts at predicting where burglaries and car break-ins might happen, according to a company deploying the technology. 

The software is built by a startup company,PredPol, based in Santa Cruz, California, and builds on computer science and anthropological research carried out at Santa Clara University and the University of California, Los Angeles.

Of course the flip side of this question is where does data gathering for crime prevention software end?