ChatGPT

Speaking of AI in 2018, Jason Yosinski said, “To a certain extent, as these networks get more complicated, it is going to be fundamentally difficult to understand why they make decisions,” he said. “It is kind of like trying to understand why humans make decisions.” As the mega-monopolies in the --->> read more -->>

ChatGPT and its many competitors are now flooding the market. Prognosticators, bloviators and professors are wagging their tongues at top speed full-time. This headline appeared in the NYTimes two days ago, “Elon Musk and Others Call for Pause on A.I., Citing ‘Profound Risks to Society’“. Leaving aside the ironies of --->> read more -->>

Just when I thought I could put this topic away for a while, I came across this video by John Oliver. As I have noted earlier, it continues to amaze me that some of the best commentaries come from comedians. The little note, nearly at the end, of EU efforts --->> read more -->>

“Roughly speaking, they take huge amounts of data, search for patterns in it and become increasingly proficient at generating statistically probable outputs — such as seemingly humanlike language and thought.” Noam Chomsky, Ian Roberts, and Jeffrey Watumull have weighed in on the ruckus about ChatGPT and its many brethren in the --->> read more -->>

Further experiments with ChatGPT (following yesterday’s post >>>) significantly weaken its usefulness and even suggest that it is a potentially dangerous, unreliable source of information. Experiment Six (continuing from previous post) – Query: when will ChatGPT provide bibliographic references for its answers? As an artificial intelligence, I am not able to --->> read more -->>

ChatGPT has been all over the internet in recent weeks. I have now experimented with it and have some initial thoughts to share. I ran a number of “experiments” to explore what this natural language AI could do. Using the December 15th version of ChatGPT I posed a series of questions. --->> read more -->>