Share on Social Media:

Are You Ready for the Coming Age of Mass Genius?

Some tech experts believe the intelligence of the human race is about to skyrocket. Some of you, we know, are thinking: “And not a moment too soon!”

Image result for einstein

What would account for this ballistic bulge in bubba’s brainpower?

Peter Diamandis thinks he knows. Diamandis holds degrees in molecular genetics and aerospace engineering from MIT, and made his reputation as the best-selling author of Abundance: The  Future Is Better than You Think.  He says the growth of internet connectivity, the cloud, and maturing brain-computer interfaces will bring dramatic acceleration of mass genius. This includes both individual and collective intelligence. Not only will the world at large become smarter, each of us will become a genius.

Mass Genius through Connectivity

The first factor Diamandis cited is connectivity. For most of history, he said, the greatest intellects have been squandered. Many were hindered by barriers of sex, race, ethnicity, class, and culture. Most, though, simply lacked means to communicate their insights to the world.

The coffee houses founded in eighteenth century Britain and continental Europe played a critical role in  destroying these barriers. In the coffee houses, people from all classes and vocations met to discuss ideas, debate them, and refine their own ideas based on the feedback they got from others. The intellectual ferment in the coffee house culture fostered the Enlightenment and the Industrial Revolution.

Concentrating population in large urban centers extended the idea generating power of the coffee house to many more people.

Diamandis says the internet is our current version of the eighteenth century coffee house and the urban center– but is many times more powerful than both. Our current networks need not be confined to our neighborhoods or our cities; they can now encompass the entire globe.  More than four billion people now have internet connections. Soon all of us will.

The Cloud and Brain-Computer Interfaces

The second factor, Diamandis says, is the cloud, which will be enhanced by brain–computer interfaces. The author says we will soon be able to upload our thoughts to the cloud, and download information directly to our brains. We then can bypass the usual cumbersome learning process. Research will become more efficient by several orders of magnitude, because it will be rooted in what Diamandis calls “the neurological basis for innovation”.

Is Diamandis right about this? We should certainly hope so. We wouldn’t be burdened with so many selfies or cat videos on social media. We might even hear Joy Behar or Barbra Streisand say something sensible.

To tap your own genius, you need a reliable internet connection. For the one that works best for you, call Satellite Country. We can help.

Call 1-855-216-0185

Share on Social Media:

ROBOTS:  WILL THEY TAKE OUR JOBS?

Related image

Apocalypse by Robots is a recurring theme in technical publications and science fiction. As our tools become more sophisticated and able to learn, the more alarmist writers tell us, they might attack us. A machine programmed to make paper clips might try to turn the entire world into a paper clip factory. Robots programmed to find their own power sources could deny us the power we need for survival. Robots could be deadly.

Some of the less excitable tech writers dismiss such alarms,. They still say, though, that say automation will foster mass unemployment. In fact, we’ll need a guaranteed minimum income to save the hordes of technologically unemployed from rioting in the streets because they can’t support themselves. MIT’s Technology Review, Wired, Gizmodo, The Verge, Singularity Hub, Mashable, Ars Technica- almost every technical rag echoes the same theme.

There are a few dissenting voices, but almost every article addressing the subject warns that automation will destroy far more jobs than it will create. In the past, technical development has only disrupted job markets for the short term, and in the long run has created far more jobs– and far more remunerative jobs-  than it has destroyed.

But this time it’s different, the alarmists say. We can’t use the Industrial Revolution or the dawn of the Information Age as our model. The big difference now is artificial intelligence or machine learning. As our tools learn from ’experience’, instead of just responding to specific inputs, the need for direct human control nearly vanishes. A small technical and financial elite will control almost everything, and will become fantastically wealthy. The rest of us will be mired in poverty, permanently shut out from the labor force.

How Have Robots Affected Job Markets Before?

This certainly is a grim prospect. But is it likely?

We doubt it. Suppose we concede that the distant past has nothing to teach us about out own futures. We’ll look into just the rise of robotics in the last sixty years. In all that time, robots have finally and irrevocably destroyed only one job category, elevator operators. But automation has created more jobs for elevator engineers and repairmen.

We’ve seen the same trend in other industries. Replacement of land lines with mobile phones has radically altered the work of telecom technicians, but has not made them obsolete. Replacing cathode ray tubes with LCD, LED, and OLED TV sets radically shrank the market for TV repairmen, but created new jobs for electronics designers and coders. The waning influence of broadcast TV networks has opened new markets in cable TV, satellite TV, and streaming video,. It has created more demand for content– and for content creators.

Automation has brought us an enormous blessing: assignment of the most dangerous, dirty, exhausting, and boring tasks to machines. This leaves us with far less onerous work, often in air-conditioned comfort. Machine learning will accelerate this trend. The tasks we handle in the future might not be what we call ‘work’ today. They might even seem like play. But suppose you could enter a time machine, and could talk with a farmer or a merchant living two centuries ago. If you describe your current job to him, will he understand it? Will he consider it work? Not likely. He’ll probably think you’re just playing.

What Can You Do?

This doesn’t mean you should be complacent. If you’re unprepared, a rapidly changing job market can hurt you badly. Your best job insurance is continually upgrading your skills.

Above all else, learn how to learn. We can’t always predict what occupations will be in demand. Students who spend years preparing for specific jobs in trendy fields often find, not long after they graduate, that their hard-won skills are obsolete. If you have solid communication, math, and reasoning skills, and if you know a fair amount about literature and history, you have a huge advantage over others. What you don’t know, you can learn quickly.

With a nimble mind and a solid work ethic, you probably don’t need to fear competition by robots.

(If you need a reliable internet connection, talk to us. We can help.)

Share on Social Media:

CONNECTED DEVICES & PRIVACY

Image result for cat dog conspiracy

Can you keep a secret? No, you can’t, at least not for long. With ever more of your electronic devices, appliances, utility meters, fitness trackers, and home security systems connected to the internet, it’s nearly certain that at least one of them will rat on you sooner or later.

Could Your Devices Be Subpoenaed?

Allison Berman, writing for Singularity Hub, warned that the connected devices in your home could be subpoenaed as witnesses against you. She cited a 2015 murder case, for which police asked Amazon to turn over cloud-based data sent by an Alexa-enabled Echo device in the home of James Andrew Bates, in whose hot tub detectives had found the body of his colleague, Victor Collins. On the night of the murder, the device had been used for streaming music. The Echo device, equipped with seven mikes, listens constantly for the ‘wake word’ that will activate it, making it receptive to commands. Just before and after sensing the wake word, Echo begins recording sound and transmitting it to Amazon’s cloud.

Police believe the Echo device may have recorded audio germane to their investigation.

In the near future, police may solve crimes by interrogating refrigerators, thermostats, TV sets, stereos, phones, tablets, and security systems. With multiple electronic witnesses, they can obtain fairly accurate and comprehensive pictures of the crimes, as they seek to do by interviewing multiple witnesses to an auto accident.

Privacy laws regarding connected devices are very weak. Because the information is stored in the cloud, the owner or user of the devices doesn’t own the data they transmit. It’s not protected to the same degree that documents in his house are.

Could Your Connected Devices Be Hacked?

Of course, any connected device can be hacked. If Alexa is hacked, could a hostile party listen to everything you say in your home? And if you have twenty connected devices in your home, a hacker might obtain eerily accurate and complete information about what you do all day. Could he use it to blackmail you? What could a stalker do if he knows where you’ll be, when, and for what reason?

Hackers could also hijack your devices to spread false information about you. Patrick Frey, who blogs as ‘Patterico’, suffered a ’SWATting’ attack in 2011 after a hacker ‘spoofed’ his cellphone number to place a midnight 911 call. Pretending to be Frey, the caller said he had shot his wife.

Sheriff’s deputies pounded on Frey’s door and rang his doorbell. When he opened the door, they pointed their guns at him and told him to put his hands up. The deputies handcuffed Frey and placed him in a squad car. Then they awakened his wife, led her downstairs, and frisked her. After ascertaining that the children were safe, the police finally left.

The incident could easily have cost Frey his life. Cops are likely to be nervous in confronting a man they believe to be armed and to have just committed a murder.

Can You Trust Browsers and Social Media?

Loss of privacy need not require either hacking or law enforcement inquiry. Certain browsers, such as Google, and social media, such as Facebook, offer overly complicated terms of service– as long as 30,000 words. Few, if any, users read them. The rules are nearly inscrutable for a reason. They’re meant to protect providers from liability, not to protect your privacy.

Since you don’t pay for Google and Facebook services, you are their product. They earn their money through sale of advertising, so they want as much data about you as possible. Their advertisers demand it.

Two years ago, Facebook faced a media firestorm after the discovery that it had been manipulating the emotional states of thousands of users. Facebook had learned that the emotional impact of the images it showed users would affect the character of their posts. With this information, it could reinforce advertising messages.

You reveal far more through social media than you’d guess. MIT’s ‘Gaydar’ project confirmed that one could reliably infer that a particular subject was gay, based solely on his social media posts, even if he had never admitted it openly, and even if he was trying strenuously to keep it hidden. Another MIT project, called ‘Psychopath’, tracked social media posts to determine presence or absence of schizophrenia.

Can You Trust Your Smart TV Set?

On Monday, February 6, Vizio settled a lawsuit over claims that it had violated consumer privacy. The plaintiffs had alleged that Vizio’s connected ‘smart’ TV sets had been tracking ‘second by second’ data about customer viewing habits. To this, Vizio had allegedly added specific demographic information: age, sex, marital status, size of household, income, home ownership, and household value. The company is alleged to have sold this information to third parties. The third parties would use it to enable targeted advertising.

LG and Samsung have also been accused of collecting viewer data through their connected TV sets.

What Can You Do?

What can you do to protect yourself? Update your passwords often. Encrypt what you can. Always stay aware of when your connected devices are switched on.

It may help to assume that everything you do will become public- and live accordingly.

(For the most reliable connection, talk to us. We can help.)

Share on Social Media:

MACHINE PREDICTS HUMAN BEHAVIOR IN VIDEO

Most of us can predict what will happen just after we see two people meet: a handshake, a punch, a hug, or a kiss. We’ve honed this ability through decades of experience in dealing with people. Our ‘intuition’ is thoroughly trained.

A machine, no matter how competently programmed, has trouble evaluating such complex information.

If computers, though, could predict human action reliably, they would open up a host of possibilities. We might wear devices that will suggest responses to differing situations. We might have emergency response systems to predict breakdowns or security breaches. Robots will better understand how to move and act among humans.

in June, M.I.T.’s Computer Science and Artificial Intelligence Laboratory (CSAIL) announced a huge breakthrough in the field. Researchers there developed an algorithm for what they call ‘predictive vision’. It can predict human behavior much more accurately than anything that came before.

The system was trained with YouTube videos and TV shows, including The Office and Desperate Housewives. It can predict when two characters will shake hands, hug, kiss, or ‘high five’. It also predicts what objects will appear in a video five seconds later.

Previous approaches to ‘predictive vision’ have followed one of two patterns. One is to examine the pixels in an image. From this data, the machine tries to construct a future image, pixel by pixel. MIT’s lead researcher in this project calls this process “difficult for a professional painter, much less an algorithm”.

The second approach is for humans to label images for the computers in advance. This is practical only on a very small scale.

MIT’s CSAIL team instead offered the machine “visual representations”. These were freeze-frame alternate versions of how a scene might appear. “Rather than saying that one pixel is blue, the next one is red… visual representations reveal information about the larger picture, such as a certain collection of pixels that represents a human face”, the lead researcher said.

CSAIL uses ‘neural networks’ to teach computers to scan massive amounts of data. From this, the computers find patterns on their own.

CSAIL trained its algorithm with more than 600 hours of unlabeled video. Afterward, the team tested it on new video featuring objects and human action.

Though CSAIL’s algorithm was not as accurate as humans in predicting human behavior, it is a huge advance over what came before. Very soon, it’s likely to outperform humans. When it does, its impact on our lives could be revolutionary.

(Editor’s note: machine learning is another term for artificial intelligence. The enclosed image is the cast of ‘The Big Bang Theory’.)

(Get the most out of information technology. Get the most out of your machines. For this, you need a strong web connection. Talk to us. We can help.)