Most of us would agree that technology has enriched our lives in countless ways. But as it has, we have begun to become wary of the ways it may have less-than-positive effects.

Here is how a recent piece in the New York Times tried to get at the heart of just what it is that is making us uneasy about technology:

Technology has crossed over to the dark side. It’s coming for you; it’s coming for us all, and we may not survive its advance. So why am I feeling so bad about tech?

Well, who isn’t, right? Look around you. It’s difficult to get jazzed about smartphones and social networks when smartphones and social networks might be ruining the world. The technologies we were most excited about 10 years ago are now implicated in just about every catastrophe of the day. (See how Russian propagandists used Facebook and Twitter to inject false narratives into the news media last year.)

More immediately, there’s the threat of ever-growing corporate control over much of what we do. These companies are not evil; they’re all led and staffed by smart, well-meaning people who believe that technology can radically improve the world. But as I argue in the series, we have not, as a society, come to grips with the scope of their control over our lives. And we don’t have many good ways to limit it, if we decided that’s what we’d like to do.

Want more? You can read the full article here

Most would agree that technology has enriched our lives and we marvel at the genius of those leading the  “FAANG” companies, which most of us know is is an acronym for the five most popular and best performing tech stocks in the market, namely Facebook, Apple, Amazon, Netflix, and Alphabet’s Google.

But increasingly, more voices are being raised expressing strong doubts as to whether this largely romantic view of the tech industry is at odds with reality. That’s why I was struck by New York Times Op-Ed, “Google Doesn’t Care What’s Best for Us.” Here is part of what the writer shared:

“For much of the short life of Silicon Valley, America has held a largely romantic view of the tech industry. Men like Steve Jobs and Bill Gates were held in high esteem. But increasingly, companies like Google, Amazon and Facebook are coming under the same cultural microscope that questioned the “greed is good” culture of the 1980s. Viewers of the comedy series “Silicon Valley” note that uber-libertarianism and uber-geek machismo go hand in hand. And certainly Mark Zuckerberg was not happy with his portrayal in David Fincher’s “The Social Network,” nor could anyone in the Valley be happy with Dave Eggers’s novel “The Circle” or Don DeLillo’s “Zero K.”

“The future implications of a couple of companies’ having such deep influence on our attention and our behavior are only beginning to be felt. The rise of artificial intelligence combined with Google’s omnipresence in our lives is an issue that is not well understood by politicians or regulators.”

“America is slowly waking up both culturally and politically to the takeover of our economy by a few tech monopolies. We know we are being driven by men like Peter Thiel and Jeff Bezos toward a future that will be better for them. We are not sure that it will be better for us.”

“Somehow the citizens of the world have been left out of this discussion of our future. Because tools like Google and Facebook have become so essential and because we have almost no choice in whether to use them, we need to consider the role they play in our lives. By giving networks like Google and Facebook control of the present, we cede our freedom to choose our future.”

Want more? You can read the full article here

You know the stereotype – the computer nerd. He’s (it’s always a “he,” right?), writes the computer code that enables the digital devices that we now can’t live without.

But we don’t want to meet him. He’s a young guy with no social skills who’s a loner who doesn’t want to have contact with others.

That’s pretty much the opinion that I had, and that’s why I was so intrigued by a recent New York Times article, “Tech’s Damaging Myth of the Loner Genius Nerd.” Here’s part of what the writer had to say:

Interpersonal skills like collaboration, communication, empathy and emotional intelligence are essential to the job. The myth that programming is done by loner men who think only rationally and communicate only with their computers harms the tech industry in ways that cut straight to the bottom line.

The loner stereotype can deter talented people from the industry — not just women, but anyone who thinks that sounds like an unattractive job description. It can also result in dysfunctional teams and poorly performing products. Empathy, after all, is crucial to understanding consumers’ desires, and its absence leads to product mistakes.

Take digital assistants, like Google Home or Amazon Echo. Their programmers need to be able to imagine a huge variety of home situations, whether households with roommates or abusive spouses or children — as made clear when a child ordered a $160 dollhouse and four pounds of sugar cookies on the Echo.

“Basically every step is very collaborative,” said Tracy Chou, who was an engineer at Pinterest and Quora and is now working on start-ups. “Building a big software system, you could have dozens or hundreds or thousands of engineers working on the same code base, and everything still has to work together.” She added, “But not everyone is the same, and that’s where empathy and broader diversity really help.”

Want more? You can read the full article here.

Silicon Valley. What a great place. Happy people…going to work in jeans every day…foosball tables…free food…and all the rest. We all are jealous of the happy few who work there.

Not so fast. My son and his wife work in “The Valley,” so I have first-person insights into this lifestyle. It’s a grind.

That’s why I read – with great interest – a recent article in the New York Times entitled: “In Silicon Valley, 9 to 5 is For Losers.” Here is part of what the writer says:

Silicon Valley prides itself on “thinking different.” So maybe it makes sense that just as a lot of industries have begun paying more attention to work-life balance, Silicon Valley is taking the opposite approach — and branding workaholism as a desirable lifestyle choice. An entire cottage industry has sprung up there, selling an internet-centric prosperity gospel that says that there is no higher calling than to start your own company, and that to succeed you must be willing to give up everything.

“Hustle” is the word that tech people use to describe this nerd-commando lifestyle. You hear it everywhere. You can buy hustle-themed T-shirts and coffee mugs, with slogans like “Dream, hustle, profit, repeat” and “Outgrind, outhustle, outwork everyone.” You can go to an eight-week “start-up hustle” boot camp. (Boot camp!) You can also attend Hustle Con, a one-day conference where successful “hustlers” share their secrets. Tickets cost around $300 — or you can pay $2,000 to be a “V.I.P. hustler.” This year’s conference, in June, drew 2,800 people, including two dozen who ponied up for V.I.P. passes.

Want more? You can read the full article here.

Much has been written about technology, and especially how technology has changed our lives, mostly for the better. Lately, more ink has been spread about how much the big technology companies – Apple, Amazon, Alphabet, Facebook and others – work to dominate our lives in ways in which we are often dimly aware.

Often lost in this near-breathless reporting is the long-term health of these companies. On the surface, investors whose portfolios contain a good amount of technology stocks are doing well.

That’s why I was intrigued by Ruchir Sharma’s recent piece in the New York Times, “When Will the Tech Bubble Burst?” Here is part of what Sharma shared:

Today, tech mania is resurgent. Investors are again glancing at a clock with no hands — and dismissing the risk. The profitless start-ups that were wiped out in the dot-com crash have consolidated into an oligopoly composed of leading survivors such as Google and Apple. These are giants with real earnings, yet signs of an irrational euphoria are growing.

Seven of the world’s 10 most valuable companies are in the tech sector, matching the late 1999 peak. As the American stock market keeps marching to new highs — the Dow hit 22,000 this week — the gains are increasingly concentrated in the big tech stocks. The bulls say it is inevitable that Apple will become the first trillion-dollar company.

No matter how surreal the endgame, booms tend to begin with real innovation. In the past, manias have been triggered by excitement about canals, the telegraph and the automobile. But not since the advent of railroads incited market booms in the 1830s and 1840s has the world seen back-to-back booms like the dot-com bubble of the 1990s and the one we are in now.

The dot-com era saw the rise of big companies that were building the nuts and bolts of the internet — including Dell, Microsoft, Cisco and Intel — and of start-ups that promised to tap its revolutionary potential. The current boom lacks a popular name because the innovations — from the internet of things to artificial intelligence and machine learning — are sprawling and hard to label. If there is a single thread, it is the expanding capacity to harness data, which the Alibaba founder, Jack Ma, calls the “electricity of the 21st century.”

Want more? You can read the full article here.

You don’t have to pick up a technical journal to be exposed to articles about artificial intelligence, machine learning, autonomy, deep learning, and the like. This technology surrounds us today and is quickly becoming something we access on a daily basis – witness, SIRI, Alexa and other apps and things we not only use for convenience, but that we count on every day.

Because of the seemingly sudden ubiquity of artificial intelligence (commonly called AI) there is vastly more heat than light on this subject.

That’s why I found this MIT Technology Review article, “The Dark Secret at the Heart of AI,” so fascinating. It asks the crucial question, do we really know what AI is doing for us? Here are a few excerpts:

A car’s underlying AI technology, known as deep learning, has proved very powerful at solving problems in recent years, and it has been widely deployed for tasks like image captioning, voice recognition, and language translation. There is now hope that the same techniques will be able to diagnose deadly diseases, make million-dollar trading decisions, and do countless other things to transform whole industries.

But this won’t happen—or shouldn’t happen—unless we find ways of making techniques like deep learning more understandable to their creators and accountable to their users. Otherwise it will be hard to predict when failures might occur—and it’s inevitable they will.

This raises mind-boggling questions. As the technology advances, we might soon cross some threshold beyond which using AI requires a leap of faith. Sure, we humans can’t always truly explain our thought processes either—but we find ways to intuitively trust and gauge people. Will that also be possible with machines that think and make decisions differently from the way a human would? We’ve never before built machines that operate in ways their creators don’t understand. How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable?

Want more on this fascinating subject? Follow the link to the article

And for a comprehensive report on the growing value of AI in business, read this Price, Waterhouse, Coopers report: “Sizing the prize What’s the real value of AI for your business and how can you capitalize?”

Facebook is everywhere. It has over a two billion users and is growing bigger and more powerful every day. Mark Zuckerberg is a multi-billionaire who is using social media to help him figure out how to give away his money.

The company, which Zuckerberg co-founded in his Harvard dorm room 13 years ago, has become the largest and most influential entity in the news business, commanding an audience greater than that of any American or European television news network, any newspaper or magazine in the Western world and any online news outlet. It is also the most powerful mobilizing force in politics, and it is fast replacing television as the most consequential entertainment medium. Just five years after its initial public offering, Facebook is one of the 10 highest market-capitalized public companies in the world.

None of this is “bad,” but Zuckerberg now acknowledges the dangerous side of the social revolution he helped start. But is the most powerful tool for connection in human history capable of adapting to the world it created?

Want more? You can read this entire article here.

We are inundated by information about the cyber world – most of it negative. Russian hacking designed to influence the American election, Wiki-leaks, NSA monitoring of phone conversations, scammers emptying bank accounts and the like. The information comes at us so fast and furious that for most of us, there’s more heat than light.

That’s why I found the article, “The @ – Bomb” so revealing. It lights a candle on the extent of the threat cyber poses to nations, as well as to individuals.

I’ve poured over the article looking for snippets to share with you, but it’s a fool’s errand. Spend some time devouring this great piece. You won’t be disappointed.

Thought provoking? You can read the full article here.

In previous blog posts about technology, we’ve addressed the always controversial subject of technology being a master or a servant. Like many issues, the jury is still out.

In a recent piece in The New York Times Book Review, Leon Wieseltier addresses this issue head on in his provocative piece, “Among the Disrupted.” Here is part of what he shared:

“Amid the bacchanal of disruption, let us pause to honor the disrupted. The streets of American cities are haunted by the ghosts of bookstores and record stores, which have been destroyed by the greatest thugs in the history of the culture industry. Writers hover between a decent poverty and an indecent one; they are expected to render the fruits of their labors for little and even for nothing, and all the miracles of electronic dissemination somehow do not suffice for compensation, either of the fiscal or the spiritual kind. Everybody talks frantically about media, a second-order subject if ever there was one, as content disappears into “content.” What does the understanding of media contribute to the understanding of life? Journalistic institutions slowly transform themselves into silent sweatshops in which words cannot wait for thoughts, and first responses are promoted into best responses, and patience is a professional liability. As the frequency of expression grows, the force of expression diminishes: Digital expectations of alacrity and terseness confer the highest prestige upon the twittering cacophony of one-liners and promotional announcements. It was always the case that all things must pass, but this is ridiculous.”

But it was what he said about the growing reverence for data that he sees is morphing into near worship that is most telling:

“Meanwhile the discussion of culture is being steadily absorbed into the discussion of business. There are “metrics” for phenomena that cannot be metrically measured. Numerical values are assigned to things that cannot be captured by numbers. Economic concepts go rampaging through noneconomic realms: Economists are our experts on happiness! Where wisdom once was, quantification will now be. Quantification is the most overwhelming influence upon the contemporary American understanding of, well, everything. It is enabled by the idolatry of data, which has itself been enabled by the almost unimaginable data-generating capabilities of the new technology. The distinction between knowledge and information is a thing of the past, and there is no greater disgrace than to be a thing of the past. Beyond its impact upon culture, the new technology penetrates even deeper levels of identity and experience, to cognition and to consciousness. Such transformations embolden certain high priests in the church of tech to espouse the doctrine of “transhumanism” and to suggest, without any recollection of the bankruptcy of utopia, without any consideration of the cost to human dignity, that our computational ability will carry us magnificently beyond our humanity and “allow us to transcend these limitations of our biological bodies and brains. . . . There will be no distinction, post-Singularity, between human and machine.” (The author of that updated mechanistic nonsense is a director of engineering at Google.)”

Interested in learning more? You can read the complete article here.

Tom Friedman has a unique talent for spotting trends that impact our lives. So it was inevitable that he would talk about the sea change in our lives as we balance what we do in the “real” world with what we do in cyberspace. He even challenges the notion of what is real and what isn’t. While some pundits complain about this change, he embraces it. In his own words;

In 2016 we reached a tipping point. It was the moment when we realized that a critical mass of our lives and work had shifted away from the terrestrial world to a realm known as “cyberspace.” That is to say, a critical mass of our interactions had moved to a realm where we’re all connected but no one’s in charge.

After all, there are no stoplights in cyberspace, no police officers walking the beat, no courts, no judges, no God who smites evil and rewards good, and certainly no “1-800-Call-If-Putin-Hacks-Your-Election.” If someone slimes you on Twitter or Facebook, well, unless it is a death threat, good luck getting it removed, especially if it is done anonymously, which in cyberspace is quite common.

And yet this realm is where we now spend increasing hours of our day. Cyberspace is now where we do more of our shopping, more of our dating, more of our friendship-making and sustaining, more of our learning, more of our commerce, more of our teaching, more of our communicating, more of our news-broadcasting and news-seeking and more of our selling of goods, services and ideas.

Interested in this tipping point? You can read the complete article here.