by Dwayne Phillips As much as we “have a better idea” and want to revise, sometimes the first version is the best. The first draft. The bane of writers of fiction and non-fiction. Let’s fix it. Okay. That’s the first version. Let’s revise as we become “smarter.” Are we always becoming smarter? Sometimes not. The […]
Entries from April 2026
The First Version (Sometimes Is the Best)
April 30th, 2026 · No Comments
Tags: Communication · Management · Publishing · Reframe · Review · Writing
This is Not AI: Scheme and Deceive
April 27th, 2026 · No Comments
by Dwayne Phillips I would hope that journalists would understand AI and software better than this. I am disappointed. Yet another story about AI written by the ignorant for the masses: AI models that lie and cheat appear to be growing in number with reports of deceptive scheming surging in the last six months, a […]
Tags: Artificial Intelligence · Journal · Learning · Mistakes · Programming · Software
Too Soon
April 23rd, 2026 · No Comments
by Dwayne Phillips Endeavors have fine, precise adjustments. The details matter. There, however, is a time for details and fine, precise, adjustments. The early stages of work is not the time. I wish I was smarter. I wish I knew all the details and adjustments and the little factors of success at the start of […]
Tags: Adapting · Humility · Learning · Management · Thinking · Time · Wishes · Work
AI Ate My Homework
April 20th, 2026 · No Comments
by Dwayne Phillips We have a new twist on the old excuse, “My dog ate my homework.” That excuse about the dog and the homework goes back to 1905 (some sources report, but then again, there may be earlier instances, but the dog ate the stories and …). John Steinbeck even said that his dog […]
Tags: Artificial Intelligence · Computing · Conversation · Excuses · Learning · Teaching
AI: Add Another Excuse to the Unending List
April 16th, 2026 · No Comments
by Dwayne Phillips We never run out of excuses. Well, if we ever come close to the end of the list, we can add AI. Microsoft had a mistake. No worry as mistakes can be corrected. The source of the mistake? Well, people are always the source of mistakes, but now we can blame AI. […]
Tags: Artificial Intelligence · Computing · Excuses · Microsoft · Mistakes · People · Software · Testing
Moore’s Law for AI
April 13th, 2026 · No Comments
by Dwayne Phillips AI capabilities are increasing fast. Too fast for some of us. What do we call this? This past week, Anthropic showed people what Mythos could do. WOW! That is amazing. Why only a few months ago… Where were we way back then? And, by the way, how do you pronounce Mythos? There […]
Tags: Artificial Intelligence · Change · Chaos · Computing · Time
This is Not AI: Rogue Agents
April 9th, 2026 · No Comments
by Dwayne Phillips I would hope that journalists would understand AI and software better than this. I am disappointed. I recently read this story about a rogue AI Agent: A rogue AI agent recently triggered a major security alert at Meta Platforms, by taking action without approval that led to the exposure of sensitive company […]
Tags: Artificial Intelligence · Journal · Learning · Mistakes · Programming · Software
The Return of the Mainframe
April 6th, 2026 · No Comments
by Dwayne Phillips Big iron is back. The mainframe is back. And we hate it more now than ever. A long time ago, in a galaxy far, far away… well it was 1979, Baton Rouge, Louisiana and a friend of my father worked for the computer company of America (IBM). He walked me through the […]
Tags: Change · Cloud Computing · Computing · Data Science · Datacenter · History
Mistakes: Allowable and Not
April 2nd, 2026 · No Comments
by Dwayne Phillips We all make mistakes. Some are allowable and some not. There is the mistake budget. We all make mistakes. The sooner we acknowledge and live that the better we will be (IMHO). Some mistakes, like typographical errors in blog posts, are embarrassing but that’s about the cost. Other mistakes, those that cost […]
Tags: Accountability · Agreement · Government · Leadership · Learning · Management · Mistakes · Money