Skip to main content

Google's Long Prosumer March Continues as Building Maker for Google Earth is Unveiled

As usual, Google is keeping it's eye on the (rapidly expanding) prosumer prize, this time strengthening the base of its Geo-Quantification efforts through the public release of Building Maker, a program w/ complementary toolkit that encourages citizens like you and me to add renderings of buildings to any of 50 designated Google Earth cities.
We like to think of Building Maker as a cross between Google Maps and a gigantic bin of building blocks. Basically, you pick a building and construct a model of it using aerial photos and simple 3D shapes – both of which we provide. When you're done, we take a look at your model. If it looks right, and if a better model doesn't already exist, we add it to the 3D Buildings layer in Google Earth. You can make a whole building in a few minutes.
Here's a demo video from the Google beta:




Google lists some additional consequences of participating in the program:
  • Building Maker is an online tool, and it runs entirely in your web browser (Google Chrome, Firefox, Safari, Internet Explorer, etc.)
  • Before you can add a building to Google Earth, you need to sign in to your Google Account (so you get credit for what you contribute).
  • Models you create with Building Maker "live" in the Google 3D Warehouse (a giant, online repository of 3D models).
  • You can use Google SketchUp (our free, general-purpose 3D modeling tool) to edit or otherwise modify anything you make with Building Maker.
  • Make sure you have the latest version of Google Earth installed on your computer.
  • If you're on a Mac, you need to download the Google Earth plug-in directly.
Note the strategic synergy in herent in this latest GoEogle push (point by point):
  • Building Maker will likely be optimized for Chrome, leading participating prosumers to adopt Chrome.
  • Building Maker is yet another service that requires a Google account.  Google's goal seems to be to get everyone on the planet signed up and exposed to their other offerings, particularly increasingly coveted value-adding prosumers.
  • By "live in Google's 3D Warehouse" I suspect that means these models are open to use by others.  This repository is immensely valuable, even if/when granular use (Creative Commons) permissions are implemented, to not only Google Earth, but into other 3D initiatives and the developement of object search, etc.  3D will play a big role in the web of 2010-2020 and Google is setting up its plays.
  • Sketch-Up adoption benefits Google and creates a layer of separation between objects created in that language and other efforts to generate 3D object databases (Microsoft, Yahoo, IBM, Apple, Second Life can't be far behind - note: these dynamics will continue to make Linden Labs a more coveted acquisition target).  My guess is that this also incrementally increases the likelihood that more serious programmers will adopt Google App Engine if Google Earth and Sketch-Up are made to play nicely with this core framework, one that Google wants to blow up big.
  • Encourages the development and use of Google Earth, potentially the most valuable and critical  prosumer platform of the near-future.
 Google Earth remains the runaway leader in 3D quantification and serves as scaffolding increasingly capable of adding structure to Google's growing body of information.  By encouraging prosumers to add more value to this system, Google continues to put distance between it and its mapping/search competitors.  This ultimately bodes well for prosumers who will no doubt reap the benefits of this battling as other companies realize they need a large number of fairly capable brains deployed all over the world to compete in the quantification game - the race to add structure, generate actionable knowledge from the proliferating mass of data.

Maybe it's time to get a nicer camera.

Popular posts from this blog

Annotating the Physical World - How Much Augmented Reality Cake Will Layar Take?

Imagine pointing your iphone at different locations around you to reveal geographically pertinent annotations and/or other media that people have deposited there. Now there's an app for that. In futurist circles, this basic world-as-web scenario has been discussed for years (I even worked on one such forecasting project ), if not decades. The simplest version of the concept has always been an application that intuitively and instantly blends real-time first-person physical world experience with the valuable data contained Wikipedia, Yelp or other websites, allowing you to instantly access stats about restaurants, concert venues, parks, car dealerships, schools, businesses, etc, that you encounter in your view. Such an app could, for example, provide information about a certain shrub in your yard, allowing quick access to species data, historical photos and related ads from the local lawncare services. Now, thanks to the convergence of smart phones and real-time geo-sensing, a

Building Human-Level A.I. Will Require Billions of People

The Great AI hunger appears poised to quickly replace and then exceed the income flows it has been eliminating. If we follow the money, we can confidently expect millions, then billions of machine-learning support roles to emerge in the very near-term, majorly limiting if not reversing widespread technological unemployment. Human-directed  machine learning  has  emerged  as the  dominant  process  for the creation of  Weak AI  such as language translation, computer vision, search, drug discovery and logistics management. I ncreasingly, it appears  Strong AI , aka  AGI  or "human-level" AI, will be achieved by bootstrapping machine learning at scale, which will require billions of  humans  in-the-loop .  How does human-in the-loop machine learning work? The process of training a neural net to do something useful, say the ability to confidently determine whether a photo has been taken indoors or outside, requires feeding it input content, in this case thousands of diff

Donald Trump, Entertainer-in-Chief

The days of the  presidential  presidency are behind us.   JFK was the  first TV President . He and his successors exuded a distinctly  presidential vibe as they communicated confidently to the masses, primarily through color video, usually behind a podium or in high-power settings, on a monthly or sometimes weekly basis. Donald Trump is the first Web & Reality TV President.  He spent a decade as host and producer of the hit show  The Apprentice  and exudes a distinctly colloquial vibe across cable and the web. Trump prefers titanic business settings like board rooms and communicates to the masses at a daily or even hourly rate, even after the election. Twitter is his pulpit. Trump is a seasoned, self-aware, master content producer AND actor.  In sports, the equivalent is a player/coach, a Peyton Manning or LeBron.  He's calculatedly sloppy and unpredictable, which appears to boost his authenticity and watchability. Most importantly, he's relentless. Trump's m