White Donkey for Sale

15.09.11 Kay Bekele

Matthew Sawyer was listed as Guardian's Artist of the week so I popped in to the Rokeby Gallery to check out 'White Donkey for Sale'. This ongoing series titled 'Documentary Works' includes text, painting, drawing and some rather weird sculpture.

The highlight of the exhibition for me were the quirky bits of text which contextualised his photographs. I laughed out loud at the ping pong ball which he posted anonymously through a strangers letterbox. He had written five words on the ball which summed up his 33rd year - one of those words was Ukulele.

matthew sawyer ping-pong




Learning C++

09.09.11 Alex Stanbury

I’ve decided that I need to start increasing my programming language knowledge. C++, although a pretty old language, is still the predominant language used in the gaming and audio development industry, and if I was ever to pursue a career in programming aside from what I am doing now, then it would be in one of these two areas. Therefore using my amazing powers of reasoning, I’ve worked out that I would probably benefit from learning C++.

Two things have inspired me to start learning C++; Firstly, I’ve been playing a lot of Battlefield : Bad Company 2 recently, and so have been checking out what’s coming up in DICE‘s next instalment of the franchise, the ingeniously named Battlefield 3. I’ve quite simply been blown away by what they are doing and making possible with their new game engine, FrostBite 2.0. Have a look at some of the gameplay trailers here and here and you'll see how good it looks - it's not just the visuals either - the sound is the best I've ever heard in a game and certainly wouldn't be out of place in a Hollywood blockbuster.

Secondly, I got an email the other day from a highly regarded German audio plugin company called Brainworx who mentioned they were recruiting. The list of qualifications needed included c/c++ which further fuelled my interest in learning the language. I've always been interested in making music and audio software in general, coming from the days of strictly hardware studios into the studio-in-a-box era where ridiculously expensive hardware is mimicked incredibly accurately in software at a fraction of the cost and can be run from a mid-powered laptop is something that is interesting and inspiring to me. I've always fancied writing my own VST plugin.

I’ve started off by going through a book titled Beginning C++ Through Game Programming which is a nice introduction to the nuances of the C++ syntax. Quite a lot of it is stuff I already know due to my knowledge of AS3 and Objective-C, but it doesn’t hurt to skim over these chapters to reassure myself I’m not missing out anything important.

Once I’ve finished this book I’m gonna start making some recreations of some classic games such as Pong and Tetris, purely to get more used to the syntax. Then the real fun (?) will start, as I’m planning on learning some OpenGL and DirectX programming, which I’m sure will make me want to jump out of the window at first but is something that I definitely want to get to grips with.

Stay tuned for the next installment...might take a few years but it will happen eventually...honest...

A picture of war! Twiddle my knobs! A geek, yesterday...




Visualising what people on Twitter like

08.09.11 Max Novakovic

The Twitter streaming API allows access to tweets on Twitter as they are created. I decided to experiment by writing a data-mining script that collects geo-located tweets from the streaming API that contain people saying that they 'like' something. For this post I have created two visualisations that aim to make sense of the data collected so far and display it in an easily digestible way.

The script has been running for about 5 days in total and has collected 1873 tweets; It has parsed a lot more tweets than that but a tweet is only added when it meets a certain criteria; which is that it is geo-located from the UK and contains a phrase such as 'I like', 'I love', 'I am fond of', etc...

From the data the second most 'liked' thing is Twitter itself which is un-surprising; 'My Life' is 4th and 'My vagina' is 32nd. The most liked things on Twitter are 'That song' and 'This song' which provides a very un-informative insight into the people on Twitter.

The top two images on the right are visualisations of the data. The first image is a 'Tree Map' which was quite simple to put together thanks to Google Chart Tools. The larger the square, the more likes and vice versa. Click here to view the visualisation in full. The data isn't perfect, for example, 'The' is one of the most popular things but I think overall it works quite well at extracting 'likes'.

The second visualisation is a Processing sketch that plots a users location along with what they have said they like. View a larger image of the sketch here. It doesn't really provide any insights geographically but it's a starting point for something that could have a lot more potential for spotting geographical and cultural trends. Download the code and data for the Processing sketch on the Disturb wiki here.

For now, I will leave the spider running for another month or so and then post again with some updated visualisations and hopefully some more interesting data from Twitter.

Tree map of Twitter like data Processing sketch of twitter likes plotted on to a map Pointless filler image




Vivian Maier - 1950's Street Photographer

07.09.11 Kay Bekele

Online this week, I came across the work of Vivian Maier. This incredibly talented and unknown amateur photographer was a nanny who spent her free time taking pictures in and around New York and Chicago for a hobby.

Her black and white photographs insightfully capture life in urban America, candidly recording some of the most interesting characteristics and idiosyncrasies of the 1950’s and 60’s.

Like many others I found her unique and authentic style of street photography poignant and captivating - but although clearly gifted Vivian Maier never publicised her work.

Her pictures were discovered at a local thrift auction in 2007 by John Maloof who has since archived and catalogued Maier’s work for the enjoyment of others. www.vivianmaier.com

vivian maier NY vivian maier NY




Standard Definition Animals

06.09.11 Greg Danford

I'm certainly no creationist BUT a recent trip to Alligator Bay got me thinking...

The animals that seem to have been on the planet the longest appear to have been created at a lower definition than the newer 'HD animals'. Like a lot of processes that we've seen evolve over a lot shorter timeline, they start off very rough, blocky and obvious then become a lot more subtle and refined as technology moves forward.

I'm thinking about things like the Printing Process, Textiles, TV screens and Arcade Games - to name but a few.

For those who are used to playing games on an PSP, picking up a Gameboy instantly gives the individual a feeling that it's a device from an earlier age. This was the same feeling that I (used to seeing humans, cats, dogs, horses etc) got when presented with an environment full of reptiles - these must have been created in a time where animals were made from a more basic kit of parts.

Although the modern day 'HD animals', as I'd like to call them, have an undoubted refinement to them, the original 'SD' ones have a low-resolution charm. As does the Gameboy ;)

[photos taken on Canon EOS 500D]

SD Lizard SD Animal 2 SD Animal 2 detail SD Animal 3 SD Animal 4 SD Animal 5