Skip to main content

Ken Levy and Sedna on Channel 9

Eric points to Ken's videos of Visual FoxPro 9 and Sedna on channel 9.

In Prague, Ken referred to Sedna as the "next release of VFP" and a release of 2007 however if you watch the video, you'll hear Ken talk about regular public updates so that all of that great extensibility Ken shows in the report designer is going to be available before then.

The way Ken describes Sedna in the video is , in my opinion, a much cleaner way of describing what Sedna is, beyond the roadmap. The roadmap goes out of its way to say this is "not a new release of VFP" but the video shows "vintage Ken" (I believe Scoble referred to him being prepared with the "swiss army knife of demos") - going through these great features that the team is in the middle of adding (he added one feature the same day the video was done).

And the feeling that I got out of it was more of Sedna being a way for everyone to partake in the great things the FoxPro team is working on, beyond a new release.

The power of rebuilding Avalon apps in VFP is very cool.

Hey Fox Team - this video should be linked on the Sedna team blog!

Ken Levy and Sedna on Channel 9

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...

When A Machine Starts To Care

“Any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clarke (1962)  I first used that quote when I was starting out in the tech industry. Back then, it was a way to illustrate just how fast and powerful computers had become. Querying large datasets in seconds felt magical—at least to those who didn’t build them.  Today, we’re facing something even more extraordinary. Large Language Models (LLMs) can now carry on conversations that approach human-level fluency. Clarke’s quote applies again. And just as importantly, many researchers argue that LLMs meet—or at least brush up against—the criteria of the Turing Test.  We tend to criticize LLMs for their “hallucinations,” their sometimes-confident inaccuracies. But let’s be honest: we also complain when our friends misremember facts or recount things inaccurately. This doesn’t excuse LLMs—it simply highlights that the behavior isn’t entirely alien. In some ways, it mirrors our own cognitive limits....