Wolf in sheep’s clothing
So, there’s probably a spy in your house. I mean, I’m not certain. I don’t have, like, a personal army of silverfish up in your pad, feeding me your secrets… that you know of.
No, I’m afraid, as is so often the case among spies, a friend has turned on you.
Your home television; that big warm rectangle of post-work bliss is also probably the biggest, most emphatically unlocked door in your digital house.
Feels like a betrayal, doesn’t it? That shiny plastic jerk has been the centerpiece of American home life since Howdy Doody and Milton Berle. Seriously. The first successful American television, this sexy beast, hit the market in 1946, a good 70 years ago. People are dying of old age who have never lived in a house without a TV.
Why now? Why this treachery, old friend?
Because, it says, as it tears one of those plastic-like Mission Impossible Tom Cruise masks off, it’s not your friend at all. That’s no television!
It’s a very big, very dumb smartphone.
Not completely screwed
Not always, of course. If your set still looks a pizza oven rather than a pizza box, feel free to go about your business. You’re done here. CRT is the way to be.
But for most of us televising in the current century, our TVs are at least a little “smart.” In this context, that just means they send and receive digital information.
Short of digitally or physically disabling that functionality, you are not in control of what information your TV is or is not sharing, or with whom.
At the risk of editorializing, that sucks.
Thankfully, some worthy geeks have addressed themselves to the problem. Their results boil down to two solutions, both slightly less demanding than your previous best option, which was tearing every single thing out of your TV that was engineered later than Sputnik and resigning yourself to a Netflix-less life.
1. The Gentle Lobotomy
This one’s a bit of a cheat, because it does involve turning off the smart features of your Smart TV. It’s only a bit of a cheat, though, because then you just replace those features with another thing that provides most of the same features through a different service: one built by people who both (a) know and (b) care about data security.
My own Amazon Fire stick has served me nobly in that respect for years, but several other solutions exist.
As a datasec solution, a properly branded dongle is particularly useful to people already invested in compatible services.
For example, if you use Chrome and/or Drive and/or Gmail, at the risk of simultaneously bumming you out and stating the obvious, Google already knows everything about you worth knowing.
Good news, though! Google’s good at security, and they have a serious, market-driven reason to guarantee yours: no point knowing all your darkest secrets if everyone else does too. Get yourself a Chromecast and app yourself silly. Likewise, if you’re a Think Different type of techie, silhouette-dance yourself up an Apple TV. The cost isn’t egregious, and the comfort factor is substantial.
2. The “Daisy, Daisy” approach
This is for the hands-on crowd. If you’ve made your smart TV a serious part of your life, one of the aforementioned preloaded dongles may present too many compatibility or processing issues to serve. If that’s the case, your best option is to dig down into Settings (or your TV’s equivalent), work through the apps that have any information you’d rather not share with Putin, 4chan, or both, and deactivate their information sharing protocols.
That will cut into their usability, but at least your info will be safe.
The ugly fact is that “smart” TVs are the perfect instance of what smart people were warning consumers about back when we all got into always-on connectivity and the Internet of Things. At best, they’re machines possessed of enormous power and no responsibility. That breaks the Uncle Ben rule, and whenever you break the Uncle Ben rule, Spider-Man sheds a single tear.
This. This is at worst. This is your TV literally peering into your house and sharing what it sees and hears with whomever has the functionality to make it do so. It was the CIA that time.
There are still some commonsense solutions, as listed above. That said, this was an unbelievable failure of responsibility on the part of the makers and sellers of the tech, and a culpable act of ignorance on the part of, well, us. The above should, if you’re lucky, keep the entire Internet from looking on in wonder as you down a half gallon of butter pecan without a spoon, six episodes deep into Great British Bake-Off.
But it’s all short term. These exploits exist because people want them, and the only way they get closed is if other people want them harder.
If it has a camera or a microphone or gets to know anything you’d rather every single other person didn’t, you need to buy on the basis that it secures that information.
That’s the Internet of Things the hard way. It’s incredibly convenient. It’s also things, and at the risk of getting unduly dark, things don’t care who they hurt.
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.
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.
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?
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.
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.”
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.
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.”
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!
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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