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Fair warning reader: this post has nothing to do with Ubuntu, or even Linux for that matter.

Instead, the following 600 words are about a promising (new to me) FreeBSD distro and why it left me rather excited about its potential.

You’ll need more than just a “secure” OS to stay safe during your computer use. Why You Need Antivirus Software for Mac and PC Windows PC antivirus software is common and recommended to users because of the platform’s very visible attack history. Ironically, the horribly expensive Mac became the emblem of computing for the masses, a human device for real people who had seen computers as unfathomable tools used only by engineers and scientists. Human beings and computers alike share the challenge of how to get as much done as possible in a limited time. Over the last fifty or so years, computer scientists have learned a lot of good strategies for managing time effectively — and they have a lot of experience with what can go wrong. Brian Christian shares how we can use some of these insights to help make the most of our own lives. More recently Ocean Lotus was found to have created fake online media websites based on content automatically gathered from legitimate news websites. The targeting of human rights defenders using digital surveillance technology is unlawful under international human rights law. What’s New in macOS. MacOS 11 introduces many user interface changes that update the appearance of apps and make them more approachable to people transitioning from iPad apps. MacOS 11 also adds support for familiar iOS features — such as SF Symbols and text styles — that enhance the user experience and can streamline the app design process.

So, for the duration of this ramble I’d appreciate you pretending it’s 2008 and this site is still called ‘FYIDYK’ — this was the forerunner to omg! with a worse acronym and a ‘cover everything’ attitude!

In this post I look at what this distro is, what it isn’t, and what it hopes to become. Plus, I share a link to download an install images (warning: experimental) so you can try it out for yourself.

helloSystem: FreeBSD for human beings?

A number of FreeBSD-based “distros” — I don’t know if there’s a different term for BSD flavours, so I’m rolling with this — are available but the first to catch my attention is called helloSystem.

This project was the subject of a talk at the recent FOSDEM event, and it’s that talk that pole-vaulted the project in to the eye-line of bloggers like myself.

What helps helloSystem stand out (to me, anyway) more than its ‘unique’ UI is its ambition. Devs working on helloSystem want to create “a desktop system for creators with focus on simplicity, elegance, and usability” built atop FreeBSD, an open source Unix-like OS.

Now, FreeBSD is a strand of computing I’ve never played with, not even during the exuberant and overreaching “FYIDYK” years. OpenSolaris? Oh yes! ReactOS? Roger that! But BSD? Still TBD, at least for me.

California online gambling. For me, new unexplored tech territory is exciting. And if Ubuntu is ‘Linux for human beings’ then helloSystem is close to being ‘FreeBSD for Mac switchers’.

Ahh, yes. Mac.

There is no getting away from the fact that helloSystem is part cool project, and part homage to the classic era of Cupertino’s celebrated computing export (aka Mac OS X) Like Apple, these FreeBSD devs want to offer an “out-of-the-box user experience” as simple and fuss-free as mid-2000s Mac.

“One objective for helloSystem is to be both easy to use for “mere mortals” yet powerful under the hood for advanced users, a combination that had been skillfully mastered in the first releases of Mac OS X,” the GitHub page blurb reads.

Biggest casino win ever. “The question is, can we take this objective of being easy but powerful but take it even further than Apple ever did?”.

It’s perhaps a but too early to answer that question. This project has bold ambitions for the future but humble roots in the present. Right now there are too many rough edges for it to function as anyone’s daily driver.

But it is coming together.

The system uses OpenZFS as its default file system, and has a custom Qt-based desktop (helloDesktop) sporting traditional windowing, a (basic) desktop dock, a unique global menu plugin (think HUD, but system wide), and right-aligned desktop icons and file manager (based on PCManFM).

Hello also comes with access to a range of apps, including LibreOffice, GIMP, and Chromium. Falkon is the default web browser, while a Qt-based text editor and Terminal are included for those who need them.

Neither the OS nor its desktop are “production” ready at the time you read this. Which brings me to the point of why I’m covering it at all.

I’m not expecting helloSystem to be the next big thing™, nor do I see it taking FreeBSD to heights that other *BSD projects haven’t.

But this project reminds me why I began experimenting with Linux and other systems in the first place: the thrill of potential; exploration without precondition; the bristle of possibility that open code (and open code alone) affords.

Download helloSystem Alpha

You can download alpha releases of helloSystem from GitHub.

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Do read over the official help docs for assistance on getting it to boot in a virtual machine (which will need at least 4GB RAM, more than VirtualBox’s default).

• (via: Phoronix)

It happened last year for the first time: bot traffic eclipsed human traffic, according to the bot-trackers at Incapsula.

This year, Incapsula says 61.5 percent of traffic on the web is non-human.

Now, you might think this portends the arrival of 'The Internet of Things'—that ever-promised network that will connect your fridge and car to your smartphone. But it does not.

This non-human traffic is search bots, scrapers, hacking tools, and other human impersonators, little pieces of code skittering across the web. You might describe this phenomenon as The Internet of Thingies.

Because bots are not difficult to build. In fact, it's so simple that a journalist (who has not learned to code) can do it.

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I do it with a ($300) program called UBot Studio, which is an infrastructural piece of the botting world. It lets people like me program and execute simple scripts in browsers without (really) knowing any code.

Do you need 100 Hotmail accounts? I got you.

Perhaps you'd like some set of links autotweeted? I'm there.

You want to scrape a few numbers from a government website or an online store? Easy. It'd take 10 minutes.

Or — and this is the one that gets to me — perhaps you want to generate an extra 100,000 pageviews for some website? So simple. A programmer friend of mine put it like this, 'The basics of sending fake traffic are trivial.'

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  Kate Crawford

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• Artificial Intelligence Is Misreading Human Emotion

  Kate Crawford

I'm going to tell you how here, even though I think executing such a script is highly unethical, probably fraud, and something you should not do. I'm telling you about it here because people need to understand how jawdroppingly easy it really is.

So, the goal is mimicking humans. Which means that you can't just send 100,000 visits to the same page. That'd be very suspicious.

So you want to spread the traffic out over a bunch of target pages. But which ones? You don't want pages that no one ever visits. But you also don't want to send traffic to pages that people are paying close attention to, which tend to be the most recent ones. So, you want popular pages but not the most popular or recent pages.

Luckily, Google tends to index the popular, recentish stories more highly. And included with UBot are two little bots that can work in tandem. The first scrapes Google's suggestions searches. So it starts with the most popular A searches (Amazon, Apple, America's Cup) then the most popular B searches, etc. Another little bot scrapes the URLs from Google search results.

Dinosaur rampage - trex mac os. So the first step in the script would be to use the most popular search suggestions to find popularish stories on the domain (say, theatlantic.com) and save all those domains.

The first search would be 'amazon site:theatlantic.com.' The top 20 URLs, all of which would be Atlantic stories, would get copied into a file. Then the bot would search 'apple site:theatlantic.com' and paste another 20 in. And so on and so forth until you've got 1,000.

Now, all you've got to do is have the bot visit each story, wait for the page to load, and go on to the next URL. Just for good measure, perhaps you'd have the browser 'focus' on the ads on the page to increase the site's engagement metrics.

Loop your program 100 times and you're done. And you could do the same thing whenever you wanted to.

Of course, the bot described here would be very easy to catch. If anyone looked, you'd need to be fancier to evade detection. For example, when a browser connects to a website, it sends a little token that says, 'This is who I am!' And it lists the browser and the operating system, etc. Mine, for example, is, 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36'

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If we ran the script like this, an identical 100,000 user agents would show up in the site's logs, which might be suspicious.

But the user agent-website relationship is trust-based. Any browser can say, 'I'm Chrome running on a Mac.' And, in fact, there are pieces of software out there that will generate 'realistic' user agent messages, which Ubot helpfully lets you plug in.

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The hardest part would be obscuring that the IP addresses of the visits. Because if 100,000 visits came from a single computer, that would be a dead giveaway it was a bot. So, you could rent a botnet — a bunch of computers that have been hacked to do the bidding of (generally) bad people.

Or you could ask some 'friends' to help out via a service like JingLing, which lets people use other people on the network to send traffic to webpages from different IP addresses. You scratch my back; I'll scratch yours!

But, if the botting process is done subtly, no one might think to check what was going on. Because from a publisher's perspective, how much do you really want to know?

In the example I gave, no page has gotten more than 100 views, but you've added 100,000 views to the site as a whole. It would just seem as if there was more traffic, but it'd all be down at the bottom of the traffic reports where most people have no reason to look.

And indeed, some reports have come out showing that people don't check. One traffic buyer told Digiday, 'We worked with a major supply-side platform partner that was just wink wink, nudge nudge about it. They asked us to explain why almost all of our traffic came from one operating system and the majority had all the same user-agent string.'

That is to say, someone involved in the traffic supply chain was no more sophisticated than a journalist with 10 hours of training using a publicly available piece of software.

The point is: It's so easy to build bots that do various things that they are overrunning the human traffic on the web.

Now, to understand the human web, we have to reckon with the logic of the non-human web. It is, in part, shady traffic that allows ad networks and exchanges to flourish. And these automated ad buying platforms — while they do a lot of good, no doubt about it — also put pressure on other publishers to sell ads more cheaply. When they do that, there's less money for content, and the content quality suffers.

The ease of building bots, in other words, hurts what you read each and every day on the Internet. And it's all happening deep beneath the shiny web we know and (sometimes) love.

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