Conspiracy Bot Shows That Computers Can Be as Gullible as Humans. Computers believe in conspiracy theories now.

He was referring to his opponent Ted Cruz. But now he’s president and.

The New Inquiry’s Francis Tseng trained a bot to recognize patterns in photos and draw links between similar pictures, forming the kind of conspiracy- theory diagram seen in the last act of a Homeland episode or the front page of Reddit. It’s a cute trick that reminds us that humans are gullible (hey, maybe those photos do match!), and that the machines we train to think for us could end up just as gullible. Humans are exceptionally good at pattern recognition. That’s great for learning and dealing with diverse environments, but it can get us in trouble: Some studies link pattern recognition to belief in conspiracy theories. The rise of machine learning is specifically targeted at closing this gap, teaching neural networks how to, say, recognize photos of birds or detect credit card fraud by feeding them vast quantities of data.

Computers believe in conspiracy theories now. The New Inquiry’s Francis Tseng trained a bot to recognize patterns in photos and draw links between similar pictures. TheINQUIRER publishes daily news, reviews on the latest gadgets and devices, and INQdepth articles for tech buffs and hobbyists. Great list, going to download a few of those later. Here’s a program that I have been using for about 3 years now and absolutely adore: http://www.ePrompter.com.

This isn’t as easy as replicating a human brain, because we don’t know how to do that. Instead, programmers simulate a brain- like behavior by letting the neural network search for patterns on its own. Mcafee Security Scan Plus 2013 License 2016 1040.

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As technologist David Weinberger writes, these neural networks, free of the baggage of human thought, build their own logic and find surprising and inscrutable patterns. For example, Google’s Alpha.

Go can beat a Go master, but its strategy can’t be easily explained in plain language. But these machines don’t actually know what’s real, so they can just as easily find patterns that don’t exist or don’t matter. This also results in surprising “mistakes,” like the funny paint colors (stummy beige, stanky bean) generated by scientist Janelle Shane, or the horrifying mess of dog faces Google Deep.

Dream finds hidden inside my selfie: These mistakes can be far more serious. Weinberger highlights software that racially profiled accused criminals, and a CIA system that falsely identified an Al- Jazeera journalist as a terrorist threat. When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. But chances are, you’re really just looking at dog faces and made- up paint colors. The more computer programs behave like humans, the less you should trust them before learning how they were made and trained.

Hell, never trust a computer that behaves like a human, period. There’s your conspiracy theory.