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Comment Re:What for? (Score 1) 183

I'm not a huge fan. The goal of D was to produce a better C++, but if you're designing a new language then C++ really isn't where I'd choose to start. It's not as bad as Ruby (I can't imagine the kind of person who would look at Smalltalk and say 'what this language really needs is Perl-like syntax'. Actually, I can't imagine the kind of person who'd say that about any language. Including Perl). Rust is probably the modern language that I like the most.

Comment There is one impossible (Score 1) 236

Encryption is ALWAYS breakable by brute force.

 
If by brute force you mean a wrench , this is true. If by brute force you mean going over all possible key , this is false. One Time pad actually are not reversible by brute force, since essentially you do not know the key length , youa re going thru building by brute force *all* possible string of byte of a specific length which will contain all the text of the world of that length. OTP of unknown length are not breakable by force.

Comment Yup. (Score 1) 287

Same conclusion. It's too easy to feel that precarity from the early computing age (not enough storage! not enough cycles! data versions of things are special!) if you were there. I think there's some of that going on here on Slashdot a lot of the time.

People in love with old Unix boxen or supercomputer hardware. People that maintain their own libraries of video, but all that's stored there is mass-market entertainment. And so on. It's like newspaper hoarding.

Storage and computation are now exceedingly cheap. 8-bay eSATA RAID cases run a couple hundred bucks, new. 4TB SATA drives run less than that. With 6 raid ports on a mainboard and a couple of dual- or quad-eSATA port PCI-x cards, you can approach petabytes quickly—and just for four digits. The same goes for processing power—a dual-processor Xeon setup (in which each processor can have core counts in the double digits) again just runs $couple thou.

And data is now cheap and easy. Whatever you want—you can have it as data *already*. Movies? Music? Books? Big social data sets? They're coming out our ears. The investment of time and equipment required, all in all, to put yourself in a position to rip and store a library of "every movie you've ever rented," and then actually do so, is much larger than the cost of simply licensing them via streaming. The same goes for music, ebooks, and so on.

There's just no need. Even my desktop is now starting to feel obsolete—for the work computing I do, there's a good chance I'll just go to Amazon cloud services in the next year or two. At that point, an iPad, a wireless keyboard, and a couple apps will probably be all the computing power I need under my own roof. If I have a desktop, it'll just be to connect multiple monitors for screen real estate.

Comment No datacenter. Just a desktop computer (Score 1) 287

with 20 cores, 128GB RAM, 48TB online storage, and gigabit fiber coming in.

Yes, I use all of it, for work. But it's definitely not a "data center." These days, I don't know why anyone would want one—even moderately sized enterprises are increasingly happy to pay someone else to own the data center. Seems nuts to me to try to bring it into your basement.

If you just need the computation and/or the storage, desktops these days run circles around the datacenter hardware from just a few years ago. If you need more than that, it's more cost effective and reliable to buy into someone-or-other's cloud.

Comment Why do this? (Score 4, Interesting) 287

I sort of don't get it. White box PCs with many cores, dozens of gigabytes of RAM, and multiple gigabit ethernet ports cost next to nothing these days with a few parts from Amazon.com. If the goal is just to play with powerful hardware, you could assemble one or a few white box PCs with *many* cores at 4+ GHz, *tons* of RAM, gigabit I/O, and dozens or hundreds of terabytes of online RAID storage for just a few thousand, and plug them straight into the wall and get better computation and frankly perhaps even I/O performance to boot, depending on the age of the rackware in question.

If you're really doing some crazy hobby experimenting or using massive data storage, you can build it out in nicer, newer ways that use far less (and more readily available) power, are far quieter, generate far less heat, don't take up nearly the space, and don't have the ugliness or premium cost spare parts of the kinds of gear being discussed here. If you need the features, you can easily get VMware and run multiple virtual machines. 100Mbps fiber and Gigabit fiber are becoming more common and are easy to saturate with today's commodity hardware. There are an embarrassment of enterprise-ready operating systems in the FOSS space.

If you really need high reliability/high availability and performance guarantees, I don't get why you wouldn't just provision some service for yourself at Amazon or somewhere else and do what you need to do. Most SaaS and PaaS companies are moving away from trying to maintain their own datacenters because it's not cost effective and it's a PITA—they'd rather leave it to specialists and *really big* data centers.

Why go the opposite direction, even if for some reason you really do have the need for those particular properties?

Comment skip to the end (Score 1) 234

Figure out what you really want to do with this. Do you want to understand everything very broadly? Do you want to become a specialist in a particular niche?

If the answer is broad understanding, lookup dogvomit's post and take the traditional coursework in the traditional order at your pace. There are sets of problems honed over the last 100 years to train people to think like physicists. Then you can go read Einstein and dense particle physics books; that's a lot of fun but probably won't go anywhere. Very, very few physicists contribute generally any more.

If you want to be a specialist, find a very well defined project you could really dig in to and enjoy. Something like one particular measurement you think you could do on your own. Pick something recent that you like. It's all out there on Google Scholar. Fill in the general physics you need as you go, but you'll probably need more engineering, software (and money) than anything else. Above all, please do get in touch with the people who inspired your work!

If you're able to successfully repeat a set of observations, or just do something that looks at all like what some grad student did 5 years ago, you will make their year by sharing it with them. If you can do that even once, you will be well on your way to contributing meaningfully to their field.

To put the time commitment in perspective, this is the kind of thing a new "generalist" physicist will do for 2-3 years full time while learning their specialty. Unless you really like this and find more than 10 hours a week to do it, it could easily take you 10+ years. That's ok. I'd be thrilled to find out someone outside traditional physics replicated my results from 10 years ago.

Comment This. (Score 2) 243

This is a pretty transparent proposal to immediately cap speeds, then approach platforms for extortion money based on user demand.

In short, it's exactly the same thing. The words have changed, but the idea about what to do with the cables is the same.

Comment Re:If there was only one viable choice ... (Score 1) 159

I switched to DuckDuckGo and haven't looked back. They used to be noticeably worse in results quality, but Google has gone a long way downhill. Occasionally I don't find things with DDG and try Google. When I do, I have to wade through pages of totally irrelevant stuff to find that there are no matches, whereas at least DDG tells me straight away that it can only find half a dozen possibly-relevant things. I especially like the way DDG integrates with a number of domain-specific search engines.

Comment Re:What for? (Score 5, Interesting) 183

I maintain the GNUstep / Clang Objective-C stack. Most people who use it now do so in Android applications. A lot of popular apps have a core in Objective-C with the Foundation framework (sometimes they use GNUstep's on Android, more often they'll use one of the proprietary versions that includes code from libFoundation, GNUstep and Cocotron, but they almost all use clang and the GNUstep Objective-C runtime). Amusingly, there are actually more devices deployed with my Objective-C stack than Apple's. The advantage for developers is that their core logic is portable everywhere, but the GUIs can be in Objective-C with UIKit on iOS or Java on Android (or, commonly for games, GLES with a little tiny bit of platform-specific setup code). I suspect that one of the big reasons why the app situation on Windows Phone sucks is that you can't do this with a Windows port.

It would be great for these people to have an open source Swift that integrated cleanly with open source Objective-C stacks. Let's not forget that that's exactly what Swift is: a higher-level language designed for dealing with Objective-C libraries (not specifically Apple libraries).

Objective-C is a good language for mid-1990s development. Swift looks like a nice language for early 2000s development. Hopefully someone will come up with a good language for late 2010s development soon...

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