ripperdoc's clinic

A schizofrenic braindump, a stream of cyberpunk, post-cyberpunk, neopunk, futurism and sci-fi items, inspiration for my writing and game design. Usually managed by my trusty auto-posting AI residing in a possum-brain in my kitchen sink.

Go ahead and inject into my brainfeed via Twitter or Tumblr submit. Aslo, go ahead and challenge my AI with a question (warning, it bites).
February 4
41 | 4.2.2012 | 3 weeks ago |

Fantastic work, chilling - and soon reality.

someoneiswatchingyou:

Camera systems have been programmed to predict human behavior and recognize the risk potential of individuals. Forget artificial intelligence, this is artificial judgment, and its for your own security.

Special Thanks to surrogateself for submitting this.

(via surrogateself)

January 25
11 | 25.1.2012 | 1 month ago |

Brochures from the companies that sell malware to governments - Boing Boing

Brochures from the companies that sell malware to governments - Boing Boing

January 23
0 | 23.1.2012 | 1 month ago |

More makeups and hairstyles to confuse facial recognition algorithms

More makeups and hairstyles to confuse facial recognition algorithms

December 3
53 | 3.12.2011 | 2 months ago |

Creepy but effective “scramble suit” in this video (simulated). Imagine seeing people on the street with this - using a constant stream of random faces to avoid recognition. Scramble Suit (by Kyle McDonald)

July 12
16 | 12.7.2011 | 7 months ago |

With cameras smaller than a matchstick head - you need to reconsider your futuristic spy novel. Everything can be filmed - and no one will be able to know. (via A Camera Smaller Than a Match-head - Gizmodo)

With cameras smaller than a matchstick head - you need to reconsider your futuristic spy novel. Everything can be filmed - and no one will be able to know.

(via A Camera Smaller Than a Match-head - Gizmodo)

July 9
7 | 9.7.2011 | 7 months ago |

Edible RFID Tags Describe Your Food

… or in other words, track people by putting a tag into their cocktail cherries.
July 8
56 | 8.7.2011 | 7 months ago |

Fingerprint Scanner that Works at a Distance

All sensors going remote. This time it’s 2 meters, next time it will be a lot longer.
July 1
34 | 1.7.2011 | 7 months ago |

Perhaps that will fool some of the idiots working with observing surveillance video… Pixelhead mask makes you appear pixellated - Boing Boing

Perhaps that will fool some of the idiots working with observing surveillance video…

Pixelhead mask makes you appear pixellated - Boing Boing

June 26
6 | 26.6.2011 | 8 months ago |

Make-up and hairstyles created to fool facial recognition software. This is true genius and just bomba awesome! Consider when fashion has this practical appliance to avoid surveillance. Of course facial recognition will improve - and of course new styles will be created that fool the latest gen algorithms (via Futurismic) (via CV Dazzle by Adam Harvey)

Make-up and hairstyles created to fool facial recognition software. This is true genius and just bomba awesome! Consider when fashion has this practical appliance to avoid surveillance. Of course facial recognition will improve - and of course new styles will be created that fool the latest gen algorithms (via Futurismic)

(via CV Dazzle by Adam Harvey)

June 24
1 | 24.6.2011 | 8 months ago |

Anti-crime DNA sprays in a reader's neighborhood

By spraying identifying DNA it is easier to trace everyone present at a crime scene. Smart - and scary. Will public areas be filled with small sprays “just in case”? Or will too much spraying create too noisy forensic results that nothing can be concluded?
June 21
1 | 21.6.2011 | 8 months ago |

“ 1. Someone mistakes you for someone else assuming that the database is always right
2. Someone finds embarrassing information on you (everyone has that photo that would disqualify them from public office)
3. Someone is trying to spy on you and hurt you
The three threats from reduced privacy online, as coined by Cory Doctorow.
0 | 21.6.2011 | 8 months ago |

emergentfutures: One Brain, Hundreds of Eyes: Darpa Plots Manhunt Master Controller Thought military tracking technology couldn’t get any creepier? Hold onto your tinfoil hats and hide behind the nearest curtain because the next generation of manhunting gear just took another step closer to reality. via @rossdawson Full Story: Wired

emergentfutures:

One Brain, Hundreds of Eyes: Darpa Plots Manhunt Master Controller

Thought military tracking technology couldn’t get any creepier? Hold onto your tinfoil hats and hide behind the nearest curtain because the next generation of manhunting gear just took another step closer to reality.

via @rossdawson

Full Story: Wired

May 21
0 | 21.5.2011 | 9 months ago |

The Mark of Freedom

A poignant observation by Quiet Babylon: when we fear technology dystopias, we often build it on the idea of corporate or governmental force. “Everyone has to be chipped by law”. But rather, at least when it comes to invasions of privacy, they are all driven by convenience - by consumers.

So for sure (almost) everyone wille be chipped, but they will do it out of their own free will, because the alternative would be much less convenient.
May 15
47 | 15.5.2011 | 9 months ago |

prostheticknowledge: Creepy - ‘geolocation information aggregator’ Creepy is a software package for Linux or Windows - with a Mac OS X port in the works - that aims to gather public information on a targeted individual via social networking services in order to pinpoint their location. It’s remarkably efficient at its job, even in its current early form, and certainly lives up to its name when you see it in use for the first time.You can enter a Twitter or Flickr username into the software’s interface, or use the in-built search utility to find users of interest. When you hit the ‘Geolocate Target’ button, Creepy goes off and uses the services’ APIs to download every photo or tweet they’ve ever published, analysing each for that critical piece of information: the user’s location at the time. While Twitter’s geolocation setting is optional, images shared on the service via sites like Twitpic and Yfrog are often taken on a smartphone - which, unbeknownst to the user, records the location information in the EXIF data of the image. Creepy finds these photos, downloads them, and extracts the location data. The above is an extract from thinq article, ‘Creepy app warns of an end to privacy’, which continues with an interview with the maker.

prostheticknowledge:

Creepy - ‘geolocation information aggregator’

Creepy is a software package for Linux or Windows - with a Mac OS X port in the works - that aims to gather public information on a targeted individual via social networking services in order to pinpoint their location. It’s remarkably efficient at its job, even in its current early form, and certainly lives up to its name when you see it in use for the first time.

You can enter a Twitter or Flickr username into the software’s interface, or use the in-built search utility to find users of interest. When you hit the ‘Geolocate Target’ button, Creepy goes off and uses the services’ APIs to download every photo or tweet they’ve ever published, analysing each for that critical piece of information: the user’s location at the time.

While Twitter’s geolocation setting is optional, images shared on the service via sites like Twitpic and Yfrog are often taken on a smartphone - which, unbeknownst to the user, records the location information in the EXIF data of the image. Creepy finds these photos, downloads them, and extracts the location data.

The above is an extract from thinq article, ‘Creepy app warns of an end to privacy’, which continues with an interview with the maker.

(via antistigma)

February 28
5 | 28.2.2011 | 12 months ago |

Peep show: inside the world of unsecured IP security cameras

So using basic Google search techniques, you can find a vast number of IP surveillance cameras that are available to the internet. Some are intended to be online, others are online because of negligence.

The key to this is however: the right software can thrawl, and possibly decrypt/find loop holes in surveillance systems globally, creating a constant, live view of the world. Data like this will never come from only one source. Google has tried with street view, literally driving every street globally. But what will happen in the future is systems that mash together data that is already out there.