Category Archives: Asides

Interesting links.

Life Hack: Put leftovers on top of your Mac Pro to keep them warm.

“Because the most-popular songs now stay on the charts for months, the relative value of a hit has exploded. The top 1 percent of bands and solo artists now earn 77 percent of all revenue from recorded music, media researchers report. And even though the amount of digital music sold has surged, the 10 best-selling tracks command 82 percent more of the market than they did a decade ago. The advent of do-it-yourself artists in the digital age may have grown music’s long tail, but its fat head keeps getting fatter.” — The Shazam Effect.

In the United States, the Federal Communications Commission in 2002 reclassified high-speed Internet access as an information service, which is unregulated, rather than as telecommunications, which is regulated. Its hope was that Internet providers would compete with one another to provide the best networks. That didn’t happen. The result has been that they have mostly stayed out of one another’s markets.

Why the U.S. Has Fallen Behind in Internet Speed and Affordability. Also has one of my favorite animated GIFs I’ve seen in a Times story.

I like to use the analogy of building bridges. If I have no principles, and I build thousands of bridges without any actual science, lots of them will fall down, and great disasters will occur.

Similarly here, if people use data and inferences they can make with the data without any concern about error bars, about heterogeneity, about noisy data, about the sampling pattern, about all the kinds of things that you have to be serious about if you’re an engineer and a statistician—then you will make lots of predictions, and there’s a good chance that you will occasionally solve some real interesting problems. But you will occasionally have some disastrously bad decisions. And you won’t know the difference a priori. You will just produce these outputs and hope for the best.

Today I learned there’s another Michael Jordan that is as awesome in machine learning as #23 is at basketball.  IEEE’s article Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Engineering Efforts is worth a read and a re-read.

It’s also worth noting that Professor Jordan did an AMA on Reddit, and actually disagreed with the title and characterization of the IEEE interview and wrote a follow-up and response on a WordPress-powered blog.

“We have the largest and deepest audience profiles on the web.” — David Fleck, general manager of advertising at Disqus. Translation: We’re tracking everyone who visits a website with Disqus enabled and building a profile of them based on the content of the sites they visit and any comments they leave. “Deeper” than Facebook.

“So I’m particularly excited to announce that we’re bringing our native advertising product, Sponsored Comments, to the world of programmatic and we’re doing it on a global basis. […] Starting today, Xaxis clients, which include some of the best brands in the world, will buy and place Sponsored Comments advertising across much of the Disqus network.” Translation: It’s not comment spam if we’re getting paid for it.

I was just reading some comments the other day and thinking how it’d be great to see some sponsored brand content there instead of users, like there already was on the rest of the page. Glad there’s a solution for that on a global basis now.