Skip to main content

Longhorn Outruns XP, Threatens Tiger - Really???

Michael points to an article in eWeek about how Microsoft may be ready to take on Apple after all but the entire article is based purely on speculation and even admits "But if Longhorn slips into 2007, Apple could have the next big cat version released or at least waiting to spring out."

This is the kind of journalism that belongs in weblogs moreso than a paper but then this is why eweek and other online journals are really having a rough time with bloggers and keeping readership up.

1. When Longhorn ships or even produces a real beta, then we can start a real comparison. Even with all of Scoble's comments about how "sexy" Longhorn will be (actually I think that was Vic's comment), the rhetoric is all about "wait and see - you'll love it".

2. Apple typically keeps everything under wraps until they're ready. So even guessing what's coming out from them is a matter of conjecture. Apple was rumoured to be switching to Intel for years but it only hit this week.

Both companies have things up their sleeves that no one knows about. Listening to the Gilmour Gang on podcasting, I really noticed it. Adam Curry commented that MS didn't really have a clue (my word, not his) about how to deal with podcasting and yet he was there a month ago (where they sent him a gift) and I'm sure they had some discussions back then. Sure, there are some at MS who would look at Podcasting, or RSS or whatever as a passing fad. But I would still be very surprised if they aren't able to do something.

Yet everyone loves Apple for that reason - they love to surprise. Very few people knew about podcasts on iTunes until it was announced. Microsoft went through a lot of speculation on Longhorn and now they're being quieter about it.

So if you want to compare operating systems, compare Tiger and XP. If you want to compare on upcoming systems, compare public betas. If you want to talk about what may or may not happen, go to Slashdot.

www.kogeler.com - michael's blog: Longhorn Outruns XP, Threatens Tiger

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....