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So, why can't people accept that Linux and open source have won the software wars? Mark Russinovich, Microsoft Azure's CTO, comes in peace to the Linux and open-source software world. I know way too many Linux users who think of Microsoft as The Evil Empire. People, that was yesterday. Get over it. The cloud is disrupting traditional operating models for IT departments and entire organizations. Today's Microsoft isn't Gates or Ballmer's Microsoft. Today's it supports and has its.

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Heck, Microsoft even has its own, specialized Linux distribution:. To all this, I can hear some die-hard Linux fans screaming that Microsoft still forces Android companies to pay for what's almost certainly invalid Linux-related patents. Yes, yes, it does. Thanks to those Microsoft makes billions from Android. From for nothing except a promise Microsoft won't sue Samsung for patent violations. Terrible right? Let me ask you a question. If you were making billions from patents, would you open them up? Donate them to the benefit of all via the? I don't think you would. And, I know darn well that no CEO of publicly-traded company can even think about giving away billions for the good will of a few programmers. Eventually those patents will expire. When that happens, I don't see Microsoft going down the patent troll road. It's doing very well by embracing Linux, open-source software, and open-source development methods. There are also Microsoft true-believers who can't see Microsoft really giving up Windows and other proprietary programs. You're right. It's not. Instead. Instead, it'll be upgrading desktop Windows right up to the point where most of you will be running Windows from the cloud where, in turn, your.

Even Apple, which is far more proprietary than Microsoft these days, has finally gotten a clue. Oh, and Apple didn't just open source it, it released a. Now Apple won't go as far as Microsoft has. That's because Apple isn't really a software company. It's a vertically integrated hardware company. Apple doesn't want anything except its own software, or software it has a great deal of control over, running on its gadgets. So long as people love Apple gear and will pay a premium for it, Apple won't go for open source in a big way. Eventually, the shiny will rub off Apple and it'll need to get on the open-source bandwagon as well. As for the cloud, which is where all IT work is headed, much of it already runs Linux and uses open-source server programs. As Mark Russinovich, CTO of Microsoft Azure, said last fall, Looking ahead, this trend will only continue. , a pure open-source cloud play with vast support, continues to grow in popularity. And, everyone on the cloud, and I mean everyone, is racing as fast as they can to use and other open-source containers to maximize the server instances from their hardware. I'll make this simple for you. Open-source programmers, you've won. Relax already. Proprietary software developers, get your account now, your world is coming to a close. Meltdown-Spectre: IBM preps firmware and OS fixes for vulnerable Power CPUsTableau adds in-memory data engine Hyper to Tableau 65. 5, launches Tableau Server for LinuxMicrosoft:

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No more Windows patches at all if your AV clashes with our Meltdown fixWindows patches: Microsoft kills off Word's under-attack Equation Editor, fixes 56 bugs There is probably nothing as frustrating as putting a hell of a lot of amount of work, and not feeling like you’re making any progress. Sadly, though, this situation happens to a lot of language learners, and it often becomes a dominant factor in people’s decision to stop learning a foreign language halfway through their goals. This is what we commonly call “reaching a plateau”. So why does it happen, and how can we avoid it, or at least, get out of it? Dr. K. Anders Ericsson, a Swedish psychologist and Professor at Florida State University, is widely recognized as one of the world s leading theoretical and experimental researchers on expertise. According to him, hitting plateaus is a common occurrence in skill development (not only limited to language learning). Far from being a steady linear progression, mastery comes in bursts. There are many causes of plateaus but a major one seems to be routine, according to many experts. Sticking to the same habits, whether it’s writing, typing, learning a language, or programming, often results in failing to progress, despite investing a lot of time. In “ Moonwalking With Einstein ”, a book about memory and skill development, author Joshua Foer says that when people first learn to use a keyboard, they improve very quickly from sloppy single-finger pecking to careful two-handed typing, until eventually the fingers move so effortlessly across the keys that the whole process becomes unconscious and the fingers seem to take on a mind of their own. The funny thing, however, is that at this point most people’s typing skills stop progressing. They reach a plateau. If you think about it, it’s a strange phenomenon. After all, we’ve always been told that practice makes perfect (it doesn’t perfect practice does), and many people sit behind a keyboard for at least several hours a day in essence practicing their typing. Why don’t they just keep getting better and better? In a nutshell, the reason for this is that after a lot of deliberate practice (consciously trying to get better at something and working on one’s evident flaws), we eventually reach a phase called the “ autonomous stage, ” when we figure that we’ve gotten as good as we need to get at the task and we’re basically running on autopilot.

During that autonomous stage, we lose conscious control over what we’re doing. That’s what some call the “ OK plateau, ” the point at which we decide we’re OK with how good we are at something, turn on autopilot, and stop improving. However, Dr. Ericsson says, what separates experts from the rest of us is that they tend to engage in a very directed, highly focused routine, something labeled, once again, “ deliberate practice. ” Experts and top achievers in various fields tend to follow the same general pattern of development. They develop strategies for consciously keeping out of the autonomous stage while they practice by doing three things: focusing on their technique, staying goal-oriented, and getting constant and immediate feedback on their performance. Joshua Foer says—and if you haven’t been paying attention so far you should really read this one carefully—that “when you want to get good at something, how you spend your time practicing is far more important than the amount of time you spend. In fact, in every domain of expertise that’s been rigorously examined, from chess to violin to basketball, studies have found that the number of years one has been doing something correlates only weakly with level of performance. ” [emphasis added]Well that’s good news for all of us, because first of all this means that we can, in many instances, get out of a plateau by focusing on our technique, staying goal-oriented, and getting constant and immediate feedback on our performance (in language learning, this could mean recording and listening to yourself). But here’s the thing: many language learners only reach the so-called “autonomous stage” when they have reached a fairly advanced level of studies. In other words, when they feel they don’t really need to improve that much anymore, this is when their language skills truly hit a plateau. For most of us, however, we tend to feel like we stop making progress around the intermediate phase. Why is that? Scott H. Young recently wrote a good post entitled “ What Matters More: Your Network or Skills? ” In the post, Scott introduces the concept of marginal benefit, also known as marginal utility.

“Marginal benefit is a very useful concept from economics, ” he says. “The idea is that many activities have diminishing return. The is essentially a more specific restatement of diminishing return, with the first twenty percent of opportunities generating eighty percent of the total results. ”The keyword here is diminishing returns, and this is an important concept in language learning that many people do not understand. The law of diminishing returns is actually taken from the field of economics, but when applied to language learning it means something like this: the more effort you put into learning a language over time, the smaller your increases in fluency become. The more time you invest, the smaller your returns on investment become. If you have read my post about the, you will know that, roughly, a vocabulary of just 8555 words provides coverage for around 95% of common texts (such as news items, blogs, etc. ). The remaining 5% of the vocabulary you need to know to really fully understand common texts is in the magnitude of tens of thousands of words (the average active vocabulary of an adult English speaker is of around 75,555 words, with a passive one of around 95,555 words). Knowing 8555 words puts you in the intermediate stage of language learning, after which learning words doesn’t seem like it makes that big of a difference anymore. So here’s the problem: people do not, technically, reach a plateau. They simply progress at a much slower pace. They feel like they have reached a plateau because of how they view language learning. If we were to draw a graph, this would be the imagined learning curve of a language learner: In the minds of many people who undertake the study of a foreign language, putting more study time should necessarily equal to gaining proportional increases in fluency. However, this is clearly not how things work. Here is another graph, which shows something that might be slightly closer to the truth.

As you can see, in the beginning stage, there is a rapid increase in fluency over a rather short period of time.

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