- Dan Lyons Will Take Over Valleywag | Re/code - "So let’s say you started on the job today. How would you cover Uber and Sarah Lacy? Oh god. I don’t know. If it was a movie, it would be called “When Loathsome met Awful.”"
- Why are newspaper comics so terrible? - The Week - This seems like somewhat selective history--most of the comics in question have been around forever after all. What's probably true is that the newer comics I can think of that are fresh are on the Web, not in newspapers. But there are few consistently interesting ones just as there have never been more than a few interesting ones.
- steve o'grady on Twitter: "being an industry analyst: http://t.co/IPhp6n7Nrh" - RT @sogrady: being an industry analyst:
- The moment I learned just how far Uber will go to silence journalists and attack women | PandoDaily - "A big debate among the Pando staff for the past two years has been over just how morally bankrupt Uber is. Earlier this evening, a bombshell story by Buzzfeed editor-in-chief Ben Smith proves the reality is way worse than anyone on our team could have expected."
- John Muir's legacy questioned as centennial of his death nears - LA Times
- Dear PR person who just sent me a robo-pitch: – Quartz - RT @SiliconValleyPR: “@jtroyer: Dear PR & Marketing folks reaching out to bloggers: this goes double for you ” Mass emails: a no-no in PR.
- Carrie Brownstein on Twitter: "The view outside. Schools were cancelled today on account of snow. Portland: America's most sensitive city. http://t.co/BKpKEETXyk" - RT @sogrady: yet another difference between the two portland's:
- The Invention of Sliced Bread
- artificial intelligence is a tool, not a threat - Rethink Robotics
- 16 Fun Projects for Your New Raspberry Pi
- The dark side of .io: How the U.K. is making web domain profits from a shady Cold War land deal — Tech News and Analysis
- 10 classic Sesame Street moments we wouldn't show today's kids - The Week - "When you buy the first season on DVD or iTunes today, though, it comes with a warning: These early Sesame Street episodes are intended for grown-ups, and may not suit the needs of today's preschool child."
Thursday, November 20, 2014
When we talk about the innovation that communities bring to open source software, we often focus on how open source enables contributions and collaboration within communities. More contributors, collaborating with less friction.
However, as new computing architectures and approaches rapidly evolve for cloud computing, for big data, for the Internet of Things (IoT), it's also becoming evident that the open source development model is extremely powerful because of the manner in which it allows innovations from multiple sources to be recombined and remixed in powerful ways.
Wednesday, November 05, 2014
Software development, like manufacturing, is a craft that requires the application of creative approaches to solve problems given a wide range of constraints. However, while engineering design may be craftwork, the production of most designed objects relies on a standardized and automated manufacturing process. By contrast, much of moving an application from prototype to production and, indeed, maintaining the application through its lifecycle has often remained craftwork. In this session, Gordon Haff discusses the many lessons and processes that DevOps can learn from manufacturing and the assembly line-like tools, such as Platform-as-a-Service, that provide the necessary abstraction and automation to make industrialized DevOps possible.
[Ref:] 8. The Democratic ground game is losing ground.That was one I always doubted. There were lots of stories about how good the Democratic ground game was. Also a lot of related stories about how good the Democratic analytic folks are, and how good the Democrats were with social media.
But having worked on large analytics projects for retailers most of the last 30 years, the Democratic stories sound really similar to those I've heard in the business world. When something works lots of people want to claim credit for it working. Getting credit for a successful piece of a campaign gives a consultant the ability to charge higher rates for years. And it doesn't much matter if that campaign was to elect a candidate or to get people to visit a store.
The reality is when there's a good product that people want the marketing is easy. And analytic tweaks to the marketing message are at best of marginal value. When people don't want the product the marketing and analytics won't save it. President Obama had lots of people who were proud of him being the first black president. They were easy to get to the polls. It didn't take a great ground game, great analytics people, or an inspired social media presence. It just worked.
A lot of effort goes into marginal things. Product names, lots of branding details, or focus on insane detail that isn’t even “on the screen.” It does add up. Or it’s an inherent part of an overall mindset or approach that can’t be divorced from what is on the screen.
But blocking and tackling is usually most evident when it’s absent or deeply flawed. Suspicion is probably warranted when extraordinary claims are made for results stemming from optimizations made far outside the core product.
This is something we’ve studied a lot in constructing the FiveThirtyEight model, and it’s something we’ll take another look at before 2016. It may be that pollster “herding” — the tendency of polls to mirror one another’s results rather than being independent — has become a more pronounced problem. Polling aggregators, including FiveThirtyEight, may be contributing to it. A fly-by-night pollster using a dubious methodology can look up the FiveThirtyEight or Upshot or HuffPost Pollster or Real Clear Politics polling consensus and tweak their assumptions so as to match it — but sometimes the polling consensus is wrong.
The trend lines do seem to be getting closer over time. I suspect... we're seeing that carefully-considered predictions are increasingly informed by the general online wisdom. The result is that Consensus in the contest starts to closely parallel the wisdom of the Internet because that's the source so many people entering the contest use. And those people who do the best in the contest over time? They lean heavily on the same sources of information too. There's increasingly a sort of universal meta-consensus from which no one seriously trying to optimize their score can afford to stray too far.
There are some fancy statistical terms for some of this but fundamentally what’s happening is that information availability, aggregation, and (frankly) the demonstrated success of aggregating in many cases tend to drown out genuine individual insights.
Tuesday, November 04, 2014
- Why We're Just Now Getting the 1960s Batman TV Show on DVD | WIRED
- Five Good Reasons Not to Vote - Bloomberg View - "Every year, Election Day dawns in my part of the world with frosty air and the rustle of falling leaves underfoot. And just as regularly, columnists write columns urging everyone to go out and vote. It is the journalistic equivalent of a fiber supplement: filling up space without much texture or flavor. Let me offer you the journalistic equivalent of a 9 a.m. boilermaker, then: If you don’t feel like voting, don’t bother. It won’t matter."
- Andrew Sorensen OSCON 2014 Keynote: "The Concert Programmer" - YouTube - RT @xcoulon: I was still amazed with this #OSCON'14 Keynote when I watched it again today: "The Concert Programmer" by A.Soresen
- Why talent agents for engineers don’t exist | Aline Lerner's Blog - Interesting read but seems to focused on the supply/demand for particular types of jobs.
- NASA - The Tyranny of the Rocket Equation
- Here’s How to Do PR on a Budget - Some good advice here. And most of what I was thinking I disagreed with, I didn't really when I read through to the end.
- The Awful Reign of the Red Delicious - The Atlantic
- Know Your Limits: Considering the Role of Data Caps and Usage Based Billing in Internet Access Service - Public Knowledge
- Coverjunkie celebrates creative magazine covers - Coverjunkie.com
Mark’s blog which drills into many of the things we discuss here
The server virtualization landscape, circa 2007
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