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Five inexpensive VPNs to keep your data yours

(TECH NEWS) If you work on public internet or are just looking to beef up your internet security VPNs could be your answer. Here are five worth looking into.

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We must speak, as we so often do, of l33t h4x0rz.

Let’s get blunt. We have reached the point in the evolution of technology where access to your personal data is equivalent to access to everything you own. Data security breach, which involves fewer twentysomethings with improbable hair and more Russian state actors than 90s movies led me to believe, can be the end of a business, especially a small one.

Frustratingly, the mainstream market hasn’t really produced perfect solutions for that. At present, you really have two options.

Option one, you roll with AppleFacebookGoogleSoft. Different companies, same model: hand your data to a giant organization with an affirmative interest in keeping it confidential. That can work! It can also, y’know, not. A lot.

Option two, full infogeek. Pull together All The Information and put it behind tight security you control. We’re big fans of this. On the other hand, we’re geeks. Doing this successfully requires knowledge, specialty tools and changes in behavior that may not be practical for you.

Ain’t exactly optimal, those options. So for the love of the white hat, what’s to do? Where’s the middle ground between “put it in a big sack and hand it to HugeCorpCo” and “lock every 0 and 1 in a painstakingly handcrafted box?”

Meet your friends, VPNs. Virtual private networks aren’t just the irritating things you have to sign into before another constructive day on the cube farm. For any entrepreneur or freelancer who isn’t into a rad Linux solution, VPNs are a straight-up necessity. They’re how you Internet without people keeping logs (your ISP does), tracking your activity (everybody does), or carrying off your innocent data to the dark web or the Kremlin.

Better yet? There are lots of good ones that are inexpensive, reliable, and only a Google away. Here’s 5. Unranked, because every VPN is a beautiful snowflake.

IPVanish wins at efficiency. They own 100 percent of their resources, rather than outsourcing any work to third parties. That means high speed and optimal security, since their commitment to keeping zero information on their clients can’t be undercut by nosy contractors.

NordVPN has tech wizardry going for it, with double encryption and even an optional kill switch that automatically disconnects you from the Internet if anything goes amiss with the VPN. Nord also wins at most devices per subscription, and will happily wrap up to 6 of your robots in the warm embrace of infosec.

Private Internet Access, in addition to winning the Most Straightforwardly Named Product Ever award I just made up, is great for power users, with unlimited bandwidth and a subscription allowing up to 5 devices. It’s also super simple, designed to run in the background while you go about your digital day, so for folks who aren’t looking for bundled apps or a shiny interface, this is your guy.

PureVPN gets compatibility cred, since it’s usable across Android, iOS, Linux, Mac, Windows and even provides proxy workarounds for Chrome and Firefox. It also has a frankly enormous server network, which is good news for speed freaks.

TunnelBear, in addition to being adorable, is extremely user friendly. It’s kind of the anti-PIA, with a rich interface and lots of shiny features. Those features include neat security tricks like Intellibear, allowing users to selectively VPN into particular sites, and Vigilant Mode, which makes like Nord and blocks Internet traffic in case of outages.

Snowflake jokes aside, the list really isn’t ranked, and for reason. Your VPN will be your gateway to the Internet. What works for you is totally contingent on what you do and what you need. There are only two definitive rules.

One, never free. A free trial is fine. “Free VPN” is online shorthand for “place all your information in this bucket, which I will then steal, seal and sell to the Internet’s many, many buyers of evil buckets of data.”

Two, it’s a numbers game. There are countless choices for VPNs on the market. The entries on our list offer substantially similar services to dozens of others. What makes our 5 special?

Twelve bucks. The maximum cost of each of the 5 VPNs above is less than twelve dollars per month. Most cost less: spring for a subscription and you can get the average cost down to 2 or 3 dollars monthly. But month to month, no obligation, even the most expensive entry on the list – that’s a tie between NordVPN and PureVPN – costs you less than twelve dollars a month.

Beat that for peace of mind.

March 2020 UPDATE: We hear that VYPR VPN is offering a $60 two-year plan and it works in countries that have walls, if you get our drift…

The American Genius is news, insights, tools, and inspiration for business owners and professionals. AG condenses information on technology, business, social media, startups, economics and more, so you don’t have to.

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4 Comments

4 Comments

  1. ArE

    November 12, 2019 at 8:49 am

    Thanks for the list, most likely I’m going to chose nordvpn as there are a lot of youtubers that I watch sponsored by them haha

    • Lani Rosales, COO + News Director

      November 12, 2019 at 11:28 am

      RIGHT!? Same (although most of us here have been subscribed prior to their showering YouTubers with dollar bills). LOL

  2. Abramo91

    April 15, 2020 at 9:38 am

    What about some free options? I’ve tried using Atlas VPN for free and honestly, I stuck with it for the past three weeks now. I mainly use it for streaming, however, I’ve read that the company also doesn’t collect any user logs, so I think they are also safe to use. Have you tried using it?

  3. Pingback: Google gets sued for misleading name 'Incognito mode' - The American Genius

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AI technology is using facial recognition to hire the “right” people

(TECH NEWS) Artificial intelligence (AI) technology has made its way into the hiring process and while the intentions are good, I vote we proceed with extreme caution.

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Artificial intelligence technology has made its way into the hiring process and while the intentions are good, I vote we proceed with extreme caution.

A UK based consumer goods giant, Unilever, is just one of several UK companies who have begun using AI technology to sort through initial job candidates. The goal of this technology is to increase the number of candidates whom a company can interview at the initial stages of the hiring process and to improve response time for those candidates.

The AI, developed by American company Hirevue, analyzes a candidate’s language, tone, and facial expression during a video interview. Hirevue insists that their product is different from traditional facial recognition technologies because it analyzes far more data points.

Hirevue’s chief technology officer, Loren Larsen, says, “We get about 25,000 data points from 15 minutes of video per candidate. The text, the audio and the video come together to give us a very clear analysis and rich data set of how someone is responding, the emotions and cognitions they go through.”
This data is then used to rank candidates on a scale of 1 to 100 against a database of traits identified in previously successful candidates.

There are two main flaws to this system. First, unless this AI technology is pulling from a huge diverse data pool it could be unintentionally discriminating against people without even being aware of it. Human bias is not as easy to remove from the equation as AI proponents would have you believe.

As an example, how does this AI handle people who are disabled or whose facial expressions that read differently than the general population, such as people with Down Syndrome or those who have survived traumatic facial injuries?

Second, seeking to hire someone who possess the same qualities as the person who was previously successful at a role is shortsighted. There are many ways to accomplish the same task with above average results. Companies who adopt this low-risk mentality could be missing out on great opportunities long-term. You will never know what actually works best if you don’t try.

The big question here is whether or not AI technology is ready to influence the job market on this scale.

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The ‘move fast and break things’ trend is finally over

(TECH NEWS) Time is running out for this decade — and for a popular Big Tech phrase responsible for a lot of collateral damage. What’s next?

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Time is running out for the decade. With less than 20 days left, it’s got us reflecting on the journeys of different economic sectors in the United States. And no industry has had a more tumultuous time of it than Big Tech.

A lot has changed in ten years. For starters, Americans have become increasingly disillusioned with Silicon Valley. The Pew Research Center found that only 50 percent of Americans believe technology firms have a positive effect on the country. That statistic is not too bad on its own, but that’s down 21 percent from only four years ago. Gallup found in 2019 that 48 percent of Americans also want more regulations on Big Tech. And The New York Times called the 2010s as “the decade Big Tech lost its way”.

Maybe that’s why big wigs at these tech firms have been quietly ditching a concept that was their Golden Rule in the early part of the decade: Move Fast and Break Things.

This concept is a modern take on the adage “you can’t make an omelet without breaking a few eggs.” For most of these firms, any innovation justified some of the collateral damage within its wake. And this scrappy “build it now and worry about it later” philosophy was a favorite of not just Facebook and Twitter, but also of many venture capital firms too.

But not anymore. Outlets from Forbes to HBR are saying this doesn’t work for Big Tech in the 2020s. Here are some reasons why it’s over.

Stability

The Move Fast and Break Things manta encouraged devs to push their coding changes to go live and let the chips fall where they may. But bugs pile up. Enter technical debt.

“Technical debt happens every time you do things that might get you closer to your goal now but create problems that you’ll have to fix later,” said The Quantified VC in an article on Medium. “As you move fast and break things, you will certainly accumulate technical debt.”

If enough technical debt comes into play, any new line of code could be the thing that topples a firm like a house of cards. And now that the consumer is used to tech in their daily routines, interruptions in service are extremely bad news for everyone.

As Mark Zuckerburg himself said it: “When you build something that you don’t have to fix 10 times, you can move forward on top of what you’ve built.”

Trust

To get back some of the trust that has ebbed from Big Tech over the years, firms can’t just keep with the Move Fast and Break Things status quo.

“The public will continue to grow weary of perceived abuses by tech companies, and will favor businesses that address economic, social, and environmental problems,” said Hemant Taneja in his article for Harvard Business Review. “Minimum viable products must be replaced by minimum virtuous products that … build in guards against potential harms.”

It’s not about chasing the bottom dollar at the cost of the consumer. Losing trust will hurt any company if left unchecked for long.

Innovation

There’s a cap on advancement in our current technological state. It’s called Moore’s Law. And we’re rapidly approaching the theoretical limits of it.

“When you understand the fundamental technology that underlies a product or service, you can move quickly, trying out nearly endless permutations until you arrive at an optimized solution. That’s often far more effective than a more planned, deliberate approach,” said Greg Satell in his article for HBR.

Soon enough, Big Tech will be in relatively new waters with quantum computing, biofeedback and AI. There’s no way to move as fast as these technology firms have in the past. And even if they could, should they?

Big Tech has experienced major growing pains since the dawn of our new Millenium. And now that some firms are entering their 20s, there’s a choice to be made. Continue to grow up or keep using an idea that’s worn out it’s welcome with the consumer and that has no guarantee will work with future technologies.

Maybe that’s why Facebook’s motto is now “Move Fast with Stable Infrastructure.”

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Tech News

Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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