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While more sophisticated methods of machine learning are in development, many of today's chatbots are still built on a similar coded call-and-response formula as ELIZA.Meanwhile, Google has developed its own proof-of-concept chatbot to show off the power of neural networks, which mimic the human brain.
In a future guarded by security chatbots working 24×7, it is machines that will be asking the important questions.
But while some of ELIZA's "patients" took it for human, there were limits to the power of its engagement.
Nearly 50 years later, thousands -- maybe millions -- of chatbots populate the internet.
Follow @Naked Security Follow @John EDunn John E Dunn has covered cybersecurity since 2003 - long before anyone was worried.
He was co-founding editor of industry title Techworld and security editor at Computerworld UK.
Like death and taxes, our unending quest to fuck everything that exhibits signs of life is inevitable.
Unfortunately, ELIZA isn't the most engaging of sexual partners. Either ELIZA wasn't feeling it, or I need a lesson in spitting chatbot game.
Even worse, a large number of these alerts are false positives, caused by engineers arbitrarily running [Linux commands] sudo-i or nmap.
A year ago, someone at Slack suggested the answer: get a chatbot hosted on Slack to do the verification instead. For those not familiar with Slack, it is a collaboration platform that integrates channels such as IRC chat, file-sharing, direct messages and even Twitter feeds into one searchable system.
It occurred to me that these scripts had a connection to ELIZA, one of the earliest examples of a natural language processing program.
Naturally, my thoughts shifted to getting it on with a pioneering computer program.
They are still seen as a benchmark in artificial intelligence and a common vessel for administering the Turing Test, which, boiled down, seeks to find an AI that can fool people into believing it's human.