I'm proud and excited beyond words to see the running notes from the work being done in Chicago by a group of students and a facilitator from the Mozilla Foundation's Hive NYC on a number of video projects using Mozilla's Popcorn technology and my novel Little Brother. Here's an introductory set of notes on the project from leahatplay at Mozilla's Hive Learning Network NYC.
The result is the following challenge: To create a video that builds on the interactive and participatory nature of the web through peer sharing and collaboration. In practice, it’s a scavenger hunt with digital media content generation. Teams are given lists of assets to collect and lists of Popcorn features to include in their video. Then they work together to collect assets to build videos with specific themes and characteristics. We insert mini-challenges throughout the activity. To the users they seem like funny digressions. For us they are designed to have a cumulative effect. The goal of the mini-challenge is to fine-tune thinking about the web’s infrastructure and provide a practice space for producing engaging web content that can be incorporated into the final deliverable.
We begin the day by cutting the activity sheets into sections. Since the steps of creating the web-native video will be “unlocked” by different mini-challenges, having everything on-hand and easily accessible is key. Pizza arrives early so we fuel up. I’m wearing my “Adopt Mozilla” T-shirt, it has become crucial gear for these moments when I channel my inner Tim Gunn and RuPaul. Our goal for the experience is a sense of levity, fun and exploration that we hope will encourage the teens to seek out different styles and modes of production.
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
This week’s top deals from the Boing Boing Store range from lobster to wine to desk organization. 1. Get Maine Lobster (50% Off)With these discounted packages from Get Maine Lobster, you can experience the sweet, fresh flavor of world-renowned Maine lobster right at your own dinner table. There are four options to choose from, each at […]
Nothing is more frustrating than needing to edit or sign a PDF and not having access to the original document. That’s why PDFpenPRO is a must-have app in our books.With this extremely useful app, you can merge, markup, and create PDF documents without ever having to convert your PDFs into word processor file formats. Type directly onto […]
From self-driving cars to stock market predicting software to the recommendations you get on Amazon and Netflix, machine learning is at the core of modern technology. You could find yourself building technology that is literally changing the world with the skills you’ll learn in The Complete Machine Learning Bundle. This bundle of 10 courses includes 406 lessons that will teach […]