Posted on 11/16/2017 1:34:37 PM PST by mairdie
A supercomputer programmed to think like the notorious Zodiac killer produced some creepy poetry when fed all the known writings of the elusive criminal, it was learned Thursday.
A University of Southern California professor created an artificial intelligence software that was designed to help crack the code of the Z340, the Zodiac killer’s famous cipher.
The ciphers, which were sent with letters to the police and newspapers in Northern California during the 1960s and 70s, contain letters and symbols that may hide clues as to the killer’s identity.
(Excerpt) Read more at dailymail.co.uk ...
This is a bad idea all the way around.
Could you elaborate? It’s creepy, I agree, but could it have some potential for understanding the killer and lead to real clues?
OK...that’s weird.
Next they need to apply it to Jack the Ripper.
I was really interested in the Charles Lechmere (sic Cross) theory.
Did the computer say “I’m sorry, Dave. I’m afraid I can’t do that. “
yikes...the professor looks like the police sketch
You’re RIGHT!!!! Wonder if that’s what got him interested in the project.
If this computer mergers with Sky-net, humans are really screwed....
Bkmrk.
That is SO funny!
Professor Knight, where were you on the evenings of.......?
NVIDIA defines machine learning like this: “Machine Learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world.”
Instead of preprogramming software to complete a specific task, as narrow AI does, machine learning uses algorithms that allow a computer to learn from the vast amounts of data it receives so it can complete a task on its own.
Intel puts it this way: “Machine learning is this idea of marrying algorithms and statistics” so that the machine can learn from new data.
NVIDIA uses machine learning to allow sensors, cameras, and computers to process the images they see and create a type of computer vision.
The hardware and software work together to understand what the edge of a road sign looks like, what letters of the alphabet are, and how to identify where an object begins and where it ends. When all of these algorithms work together and learn based on what they see, they identify things like stop signs for driverless car technology.
There is nothing stopping these idiots from reusing this creepy serial-killer as an “adversarial machine learning” opponent/trainer for another AI like, for instance, training a “detective” AI. (see here: https://mascherari.press/introduction-to-adversarial-machine-learning/).
The problem is that while the detective AI is getting better after being spoofed billions/trillions of times by the serial killer AI, the serial killer AIS getting better as well after each of its failures. There are many scenarios that the serial killer AI could be used legitimately or nefarious. Repeat this process over and over for say 20 to 30 years along with exponential growth computer power and everything being increasingly connected to the Internet and feeding data from the real world to cyberspace (like Alexa the voice assistant spy, smart utility meters, government spyware in your cars, planes, smartphones) and there will come along a problem for everyone.
I wonder what a neophyte serial killer be willing to pay to have a captive serial killer AI plot all his moves?
I read it had already been solved.
The few extra symbols at the bottom of the first letter decoded to an anagram of his name.
And someone else decoded the other letters as well, showing the same name.
Turned out to be one of the suspects, Arthur Leigh Allen, already dead.
http://www.tonypolito.com/zodiac.pdf
Infinite thanks! That was just what I needed to understand this.
All of my work has been in analyzing poetry by computer with the words viewed as symbols, not as AI contextual content. I never got into AI. My field was computer programming languages so, again, symbols. Obviously, I need to expand my reading. Deep thanks.
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