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TagChatbot failings

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Large Language Models Can Entertain but Are They Useful?

Humans who value correct responses will need to fact-check everything LLMs generate

In 1987 economics Nobel Laureate Robert Solow said that the computer age was everywhere—except in productivity data. A similar thing could be said about AI today: It dominates tech news but does not seem to have boosted productivity a whit. In fact, productivity growth has been declining since Solow’s observation. Productivity increased by an average of 2.7% a year from 1948 to 1986, by less than 2% a year from 1987 to 2022. Labor productivity is the amount of goods and services we produce in a given amount of time—output per hour. More productive workers can build more cars, construct more houses, and educate more children. More productive workers can also enjoy more free time. If workers can do in four Read More ›

Digital chatbot, robot application, conversation assistant, AI Artificial Intelligence concept.

Note to Parents: Grooming and Wokeness Are Embedded in Chatbots

With or without tuning, all AI chatbots are biased one way or another. AI without bias is like water without wet

First impressions of a person can be wrong. Further interactions can reveal disturbing personality warts. Contrary to initial impressions, we might find out they lie, they are disturbingly woke,  they can’t do simple math, their politics is on the extreme left, and they have no sense of humor or common sense.   I have just described Open AI’s GPT3 chatbot, ChatGPT. Initially, users are gobsmacked by the its performance. Its flashy prose responses to simple queries look amazing.  But become roommates with the chatbot for a few hours and its shortcomings become evident .  It can’t get its facts straight, can’t do simple math problems, hates Donald Trump, and is being groomed to be “woke.” Its performance warts are so numerous that Bradley Center Senior Fellow Gary N. Smith hoists a Read More ›