“The Internet doesn’t make you smarter; you only think it does” by Cathleen O’Grady

fter using search engines, people overestimate their ability to explain ideas.

If you’ve ever lived with roommates, chances are you shared a “transactive” memory system with them. One person might have remembered to pay the bills, while another knew the contact details of the plumber. It’s common to find social systems that share the information needed by a group across all the members of that group. Systems like these make life easier for individuals, who need only keep track of who knows which nugget.

Transactive memory systems are a common feature of human social groups, but they can be technological, too—and in the case of the Internet, the relationship can be a pretty powerful one. There are already indications that we treat the Internet like a transactive memory partner, remembering only where to find information, rather than the content itself. But could we also be blurring the boundary between our own internal knowledge and the easily accessed knowledge available via search engines? A group of researchers at Yale University think that we are.

Their research, published this week in the Journal of Experimental Psychology….

“The Death of Moore’s Law Will Spur Innovation” by Andrew Huang

“As transistors stop shrinking, open-source hardware will have its day.

Companies that produce open-source hardware are few and far between. At least, they are if you define them in the usual way: an enterprise that provides documentation and permission sufficient for others to re-create, modify, improve, and even make their own versions of the devices it sells. And although open hardware has made strides in recent years—including an increasing number of companies adhering to these practices along with the establishment of the Open Source Hardware Association—it remains a niche industry.

You might guess the reason to be simple—such companies must be set up and run by idealists who lack any hardheaded business sense. Not true! What’s held back the open-source hardware movement is not a lack of business acumen; it’s the rapid evolution of electronic technology.

The reasons for this are subtle, but as I will explain below…

“Will You Be Able to Read this Article in 1,000 Years?” BY DAVID SHULTZ

“If you ask Anthony Weiner, digital records—especially those on the Internet—can seem impossibly hard to get rid of. When a picture or document is reduced to a series of 1s and 0s, it becomes transmissible, reproducible, downloadable, and storable. You can’t burn digital books, and ideas like cloud computing make it possible to back up data in multiple places, ensuring even an accidental fire won’t incinerate your thesis or wedding photos.

The digitization of data gives it protection from physical catastrophes, but, as it stands now, it’s far from eternal. The problem isn’t so much that the data itself might be lost, but that there will be no way to read it. 

Try opening a WordPerfect document …

“Modeling the Lifespan of Discourse Entities with Application to Coreference Resolution” by Marie-Catherine de Marneffe, Marta Recasens and Christopher Potts

“A discourse typically involves numerous entities, but few are mentioned more than once. Distinguishing those that die out after just one mention (singleton) from those that lead longer lives (coreferent) would dramatically simplify the hypothesis space for coreference resolution models, leading to increased performance. To realize these gains, we build a classifier for predicting the singleton/coreferent distinction…”

Automating the Data Scientists by Tom Simonite

Software could automate some of the work performed by such data scientists, in hopes of making sophisticated data skills more widely available. 

Computers run complex mathematical operations on large collections of data, and selling data analysis software is a growing business. But human creativity and expertise is still needed to choose and deploy the methods that can explain the patterns in a data set.

The automatic statistician is one of a handful of tools being built to automate some of that expertise.  more…

Business Insights from Satellite Images

Orbital Insight uses image processing, neural networks, machine learning, and statistical analysis in search of insights from satellite images
The convergence of more powerful big data analysis tools, more intelligent machine learning algorithms, and more readily available satellite imagery has laid the groundwork for Orbital Insight. Many of Orbital’s customers are companies seeking information independent from government sources. 
So far, the company claims to have developed data products that forecast end­of­season crop harvest based upon mid­season spectral analysis and quarterly retail performance based upon counting cars in parking lots, as well as measure the rate of construction in China’s real estate sector and the fluctuations in global crude oil inventories months ahead of similar figures reported by other organizations. More…
 

What Jimi Hendrix and (almost) every performer at Woodstock was paid

in times of streaming and debate over live musician performance appreciation, a peek into Woodstock fees to artists:

List of artists and value, with 2015 parity values in parenthesis :
1. Jimi Hendrix: $18,000 ($115,000)
2. Blood, Sweat and Tears: $15,000 ($95,000)
3T. Joan Baez: $10,000 ($63,000)
3T. Creedence Clearwater Revival: $10,000 ($63,000)
5T. The Band: $7,500 ($48,000)
5T. Janis Joplin: $7,500 ($48,000)
5T. Jefferson Airplane: $7,500 ($48,000)
8. Sly and the Family Stone: $7,000 ($45,000)
9. Canned Heat: $6,500 ($41,000)
10. The Who: $6,250 ($40,000)
11. Richie Havens: $6,000 ($38,000)
12T. Arlo Guthrie: $5,000 ($32,000)
12T. Crosby, Stills, Nash and Young: $5,000 ($32,000)
14. Ravi Shankar: $4,500 ($28,500)
15. Johnny Winter: $3,750 ($24,000)
16. Ten Years After: $3,250 ($20,000)
17T. Country Joe and the Fish: $2,500 ($16,000)
17T. The Grateful Dead: $2,500 ($16,000)
19. The Incredible String Band: $2,250 ($14,000)
20T. Mountain: $2,000 ($12,700)
20T. Tim Hardin: $2,000 ($12,700)
22. Joe Cocker: $1,375 ($9,000)
23. Sweetwater: $1,250 ($8,000)
24. John B. Sebastian: $1,000 ($6,300)
25T. Melanie: $750 ($5,000)
25T. Santana: $750 ($5,000)
27. Sha Na Na: $700 ($4,500)
28. Keef Hartley: $500 ($3,100)
29. Quill: $375 ($2,400)