Skip to main content

Burned by a headline

I just received the May 2004 issue of FoxPro Advisor and have to say I was kind of surprised at the choice of headlines given to my review of TurboFox - "The Perfect Framework for Basic Visual FoxPro Development"
 
My original article's title was "TurboFox: A promising start" and in the rush to get the article out, I concentrated on the body of the article and not the headline that was sent back to me for confirmation. Won't make that mistake again...but it's kind of embarasssing being one of the tech editors and having a headline like that go out with my name on it.
 
Since September, I've reviewed a lot of frameworks and they are very good frameworks : some are easier to learn than others and some provide much more flexibility than others. Turbo-Fox is a beginner's framework and it shows great promise but in reading the headline, it says something that is certainly not intended.
 
I'm sure the other framework vendors will understand that and hopefully readers will read beyond the headline and into the body of the article.

Comments

Popular posts from this blog

Elevating Project Specifications with Three Insightful ChatGPT Prompts

For developers and testers, ChatGPT, the freely accessible tool from OpenAI, is game-changing. If you want to learn a new programming language, ask for samples or have it convert your existing code. This can be done in Visual Studio Code (using GitHub CoPilot) or directly in the ChatGPT app or web site.  If you’re a tester, ChatGPT can write a test spec or actual test code (if you use Jest or Cypress) based on existing code, copied and pasted into the input area. But ChatGPT can be of huge value for analysts (whether system or business) who need to validate their needs. There’s often a disconnect between developers and analysts. Analysts complain that developers don’t build what they asked for or ask too many questions. Developers complain that analysts haven’t thought of obvious things. In these situations, ChatGPT can be a great intermediary. At its worst, it forces you to think about and then discount obvious issues. At best, it clarifies the needs into documented requirements. ...

Respect

Respect is something humans give to each other through personal connection. It’s the bond that forms when we recognize something—or someone—as significant, relatable, or worthy of care. This connection doesn’t have to be limited to people. There was an  article  recently that described the differing attitudes towards AI tools such as ChatGPT and Google Gemini (formerly Bard). Some people treat them like a standard search while others form a sort of personal relationship — being courteous, saying “please” and “thank you”. Occasionally, people share extra details unrelated to their question, like, ‘I’m going to a wedding. What flower goes well with a tuxedo?’ Does an AI “care” how you respond to it? Of course not — it reflects the patterns it’s trained on. Yet our interaction shapes how these tools evolve, and that influence is something we should take seriously. Most of us have all expressed frustration when an AI “hallucinates”. Real or not, the larger issue is that we have hi...

Friend vs Therapist vs LLM: Shades of Grey

The conversations with AI series brings up a single point and then compares it between different LLM engines. These types of conversations were one of the many contributing factors to my writing of " Towards Consciousness " that explores the benefits and issues of creating a conscious AI. In this scenario, I was interested in seeing how an LLM might differ from a friend or therapist on issues that may have nuanced responses or contexts. In doing so, I came up with an interesting discussion on shades of grey. My Premise: Is it a bit strange to be using an LLM as a sober second thought? Every time I walk down this path of “why use an LLM to do certain things”, I come back to the alternatives that people like to say. “Why not bring it up with a friend?” A friend typically has your back or will say whatever to support their own agenda. “A therapist?” That’s someone who is “trained” to be impartial. But a computer? A computer is impartial based on two logical outcomes. If you say ...