Working Up

by Dwayne Phillips You think the US government is big and spends lots of money? It is now overshadowed by industry—especially in computing. I was an employee of the US Federal government for 28 years. We did big things in computing that cost big dollars. I once worked in a lab where we had four […]

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by Dwayne Phillips Of course software running for the thousandth time works better than some people at some tasks. It has for half-a-dozen decades. Why does this continue to surprise us? Here is a recent breath-taking story about how AI performs better than doctors at detecting a type of cancer. Of course it does. Put […]

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by Dwayne Phillips Reducing the time spent typing on the keyboards reduces the number of interruptions. There are new tools that reduce both. I can type fairly fast. At least I give myself credit for that. Like everyone else, I am interrupted while typing. I could estimate number of interruptions per hour or some rate […]

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by Dwayne Phillips We want AI systems to act like us. Or do we? Perhaps we want AI systems to act like some of us. But who is “us” and who is “not us?” Testing shows that the latest and greatest large language models will generate bad information about political campaigns. That is wrong; those […]

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by Dwayne Phillips I share an idea for a manual writing instrument that I had several decades ago. Today’s technology might be ready for it. Several decades ago, I had this idea for a pencil, pen, or white board marker. I shared the idea with a few smart folks. Nothing became of it as the […]

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by Dwayne Phillips Large Language Models appear to have all sorts of problems. I wonder why companies that build such don’t hire adults to help build them. I recently learned that large language models (LLMs) have “sleeper agents” in them. Given some inputs, the LLM starts doing crazy things that it shouldn’t do. Gosh. LLMs […]

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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 There is so much information available to us, what do we do? Wait, there are also so many great summaries of information available to us. It is easier than ever to know a little. Is that a good thing? It is easier than ever to know a little: It is still just […]

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by Dwayne Phillips These new chattering bots like ChatGPT are great word multipliers. Do we need word multipliers? That is the question. Try this at home: I am now up to 2,500 words in ten minutes. In another ten minutes I will have 5,000 words. In an hour I will have 50,000 words. 50,000 words […]

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by Dwayne Phillips Sometimes we attribute things we don’t like to things we don’t like. It’s easier that way, even though it isn’t reality. Well, here we have it: AI is replacing people. We can read it in the newspaper. Plain and simple. I link to one newspaper article. I could link to a dozen […]

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