Working Up

by Dwayne Phillips I think OpenAI did this before I get around to writing this blog post, but if you want AI to succeed, stop calling it AI. There is a large part of society that doesn’t like “AI.” First, how do you pronounce “AI?” Is it “A” then “I” or it some word that […]

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by Dwayne Phillips The systems we use at work are woefully behind what we use at home. This is especially true if we work in a government organization. At the time I wrote this post, OpenAI demonstrated their GPT-4 with ChatGPT. That means I see how to summarize lots of things and understand what is […]

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by Dwayne Phillips AI has moved from interesting to actual work. This is much like the arrival of VisiCalc, which changed the home computer from hobby to actual work. I was still in college the first time I saw an Apple computer. It was so new and odd that the Apple II just sort of […]

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by Dwayne Phillips We seem to be far more tolerant of technical failures. When I was a kid (we played baseball in the streets and things like that), I often heard the excuse, “The computer is down.” That excuse brought all sorts of grievous vexation that excuses usually bring. It was recognized as an excuse […]

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by Dwayne Phillips If AI wrote this, is that okay? The question isn’t that difficult. In the past few months, we have all sorts of artificial intelligence or machine learning sites “writing” things for us. Well, this isn’t that intelligent or learned (in my humble opinion), but clever mimicry. Still it is quite useful. Why […]

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by Dwayne Phillips It seems that everyone wants to say or write AI or artificial intelligence these days. Please stop misusing the term. Our Federal Trade Commission wants to regulate AI. The lack of literacy is astounding, but then again, this is the pinnacle of regulating instead of creating. The FTC, with all its good […]

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by Dwayne Phillips There is nothing wrong with mimicry. Let’s stop kidding ourselves; much of today’s machine learning is simple mimicry. mimicry: noun, the action or art of imitating someone or something, typically in order to entertain or ridicule. Let’s be candid here. Much of Machine Learning (ML)—a currently popular branch of Artificial Intelligence (AI)—is […]

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by Dwayne Phillips The number crunchers now rule the world. How did that happen? Many years ago I was a number cruncher. I did then what people still call “digital signal processing.” We took analog signals, magically made them numbers in computers via gadgets called analog-to-digital converters or A/D converters, and happily applied digital approximations […]

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by Dwayne Phillips Data, data, data. Enough already. Just tell me something I don’t know. Data is the new oil. Data is the new bacon. Data will fuel the economies of the future. Data will determine the winner of the next world war. Data, data, data. I work with data. On some days, some folks […]

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by Dwayne Phillips We move forward to the 1980s when the lawyers prevented artificial intelligence (AI) from helping us do our jobs. Note: This post is about legal maneuvers that prevent helpful AI systems. It is not about AI systems that were built poorly and mimic some human tendencies to discriminate against persons illegally. Those […]

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