Working Up

by Dwayne Phillips I have been experimenting with Google’s NotebookLLM. I like is using it to remind me of what I have written in fifteen years of this blog. I have been experimenting with Google’s NotebookLLM. I’m still not sure what NotebookLLM is or what it is intended to do. I guess there is value […]

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by Dwayne Phillips We have yet another problem with machine learning. This one, however, has an easy solution. Several years ago I wrote of a fundamental problem with machine learning. I guess we have yet another problem being called “poisoned” machine learning. With poisoning, someone knows that I am about to “learn the machine” something […]

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by Dwayne Phillips The old ways of doing AI are still better than some of the new ways in some cases. The answer, of course, is to combine the best of all to do something better. Feed the following into a chatbot: “The cow jumped” The chatbot will finish with “over the moon.” That is […]

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by Dwayne Phillips In the past month or two, many have bemoaned the appearance of software that can write essays for students. I have yet to read concerns about software that teachers can use to write essay assignments. ChatGPT is ruining the world. Well, at least some folks think it is ruining their world. The […]

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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 “Machine Learning” is one of the biggest misuses of the English language I have seen. The machine isn’t learning. Let’s try to remember what is happening. Data science is a big deal these days. Well, it is until you read the fine print in the Help Wanted ads about data science jobs. […]

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