The answer is .... not as close as I would have thought. Nonetheless, they just hit a Trillion Dollar market cap. So, they must have gotten something right!
It's interesting to think about which factors or missing innovations caused the difference between their imagined vision and reality.
They really bought into scaleable, HD, transparent, touch screen displays being not only available, but located in everything by now ... which suffice to say, isn't the case.
The reality is ...
A lot of these innovations actually have little use - Not every situation needs a transparent monitor - they're worse than standard monitors in almost every way. You end up using absurdly expensive screens to display a digital version of a post it note or handwriting. The desk/monitor hybrid would be covered in sheets of paper, office supplies, and your coffee. A boarding pass being a screen is highly inefficient for so many reasons - and so is a digital newspaper. We have those - they're called phones.
They assumed batteries would be way farther along - The thinner your monitor, the more transparent, the harder it is to create a high-performance high-fidelity battery to maintain it. Unfortunately, batteries haven't had nearly the boom like the rest of our tech (though they are getting better).
IoT Adoption/Security - One of the biggest problems with IoT is that the more these pieces communicate the harder it is to prevent hacks. A chain is only as strong as the weakest link - and a smart coffee maker isn't nearly secure as your computer.
Fingerprints (Glass) - I get this isn't a "real" concern - but every piece of technology they showed was transparent/glass. On top of being very breakable (see Samsungs new foldable phones) Could you imagine how smudged/dirty everywhere would appear? Imagine a New York subway with this technology.
Expense v. Convenience - A lot of technologies are feasible - but aren't cost-effective. Look at the slow adoption of Solar cells as their efficiency per cost went up.
Making everything a device/screen means more opportunity for companies to serve you ads and retarget you ad infinitum.
Ultimately, I find this perceived "modern digital office environment" very inefficient. A lot of these "innovations" are less dynamic and easy to use than their analog counterparts. Mechanical keyboards serve a purpose.
In reality, a lot of the trends we've adopted to increase collaboration and sharing have been counterproductive. Not every office needs an open floor plan - not every team needs 15 subteams with 4 bosses - and using 20 different productivity tools actually decreases productivity.
That being said, we've come a long way in 10 years. Think about the quality of your phone in 2009 or your desktop computer - whirring loudly as it tried to access the disk, or the internet, or anything really.
What we have now isn't perfect - but it's leaps and bounds ahead of where we were. A lot of technology seems like science fiction - like the Babel fish from Hitchhikers Guide to the Galaxy.
With all the "fake news" and manufactured social buzz, it's hard to identify what technologies are reaching maturity and which ones are fads. Gartner's Hype Cycle attempts to solve that problem.
What's a "Hype Cycle"?
As technology advances, it is human nature to get excited about the possibilities and to get disappointed when those expectations aren't met.
At its core, the Hype Cycle tells us where in the product's timeline we are, and how long it will take the technology to hit maturity. It tells us which will survive the hype have the potential to become a part of our daily life.
Gartner's Hype Cycle Report is a considered analysis of market excitement, maturity, and the benefit of various technologies. It aggregates data and distills more than 2,000 technologies into a succinct, contextually understandable, snapshot of where various emerging technologies sit on the hype cycle.
Peak of Inflated Expectations (Success stories through early publicity),
Trough of Disillusionment (waning interest),
Slope of Enlightenment (2nd & 3rd generation products appear), and
Plateau of Productivity (Mainstream adoption starts).
Understanding this hype cycle framework enables you to ask important questions like "How will these technologies impact my business?" and "Which technologies can I trust to stay relevant in 5 years?"
What's exciting this year?
Currently, people are probably "too" excited about IoT platforms, Deep Learning, and Virtual Assistants. The idea isn't they won't stand the test of the time, but there's an artificial influx of people inflating the adoption numbers. Once the chaff is separated from the wheat - you can expect these to succeed. Autonomous driving, connected homes, and mixed reality have matured past the hype phase.
This year, Gartner organized the 17 highlighted technologies into 5 encompassing trends:
Democratized AI (autonomous driving, conversational AI, deep neural nets, etc.) is one of the most disruptive classes of technology. It's becoming more readily available due to open source and cloud computing. There's a burgeoning field of "makers" inspired to push the boundaries of what's possible.
Digitalized Ecosystems ( blockchain, IoT) support emerging technologies by being the foundations for dynamic systems. There's a shift from discrete infrastructure systems to comprehensive ecosystems. Think of blockchains potential impact on tracking and communication.
Do-It-Yourself Biohacking (biotech, biochips, exoskeletons, AR) is something I've talked about before. Dave Asprey is a public face of this movement and we shot a video together last year. The future is bringing implants to extend humans past their perceived limits and increase our understanding of our bodies; biochips with the potential to detect diseases, synthetic muscles, and neural implants.
Transparently Immersive Experiences (connected home, smart dust, volumetric displays) represent the blending of where human stops, work starts, and things exist. Imagine a theoretical smart workspace where electronic whiteboards capture all your notes and disseminate them, sensors let you know where people are and what they're working on, and everything in your office interacts directly with your IT platform. This creates much more contextual and personalized experiences.
Ubiquitous Infrastructure (5G, carbon nanotubes, quantum computing) means that infrastructure is becoming a less competitive advantage. As infrastructure becomes cheaper, more ubiquitous, and faster, it becomes background noise.
Looking at the overarching trends of this year, it's also fun to look at what technologies are just starting their hype cycle.
Flying Autonomous Vehicles can be used as taxis, but also as transports for other things such as medical supplies, food delivery, etc. Amazon and Uber are likely excited about this development - and expect it in the next couple of years.
Smart Dust opens up the possibility of monitoring essentially everything by creating a vast network of minuscule sensors that can detect various inputs.
I came across a post from 2009 about social media. 10 years later, with the knowledge of how much data we use today, it's quite a read.
Here it is in its full glory.
Social Media Is Changing Everything: October 18th, 2009
My son won't use e-mail the way I did. So how will people communicate and collaborate in the next wave of communications?
Here is a peek into the difference that is taking hold. I was looking at recent phone use. The numbers you are about to see are from the first 20 days of our current billing cycle.
My wife, Jennifer, has used 21 text messages and 38 MB of data.
I have used 120 text messages and 29 MB of data.
My son, at college, used 420 text messages, and is on a WiFi campus so doesn't use 3G data.
My son, in high school, used 5,798 text messages and 472 MB of data.
How can that be? That level of emotional sluttiness makes porn seem downright wholesome.
But, of course, that isn't how he sees it. He is holding many conversations at once. Some are social; some are about the logistics of who, what, when, where and why ... some are even about homework. Yet, most don't use full sentences, let alone paragraphs. There is near instant gratification. And, the next generation of business people will consider this normal.
Is social media a fad? Or is it the biggest shift since the Industrial Revolution?
Welcome to the World of Socialnomics. This video has a bunch of interesting statistics ... and is fun to watch.
Social Media Is Changing Everything: April 20th, 2019
Looking at the stats from 2009 is pretty funny
My son was using 472 MB of data a month
Hulu had grown from to 373 million total streams in April 2009
Only 25% of Americans in the past month said they watched a short video on their phone
For some context, I looked up the comparative numbers for 2018.
I picked a random month in 2018 ... in August my son used 10.85 GB of data. He doesn't text as often - but has sent/received 282,000 snapchats since downloading it 5 years ago.
Hulu has over 20 million subscribers who streamed more than 26 million hours a day in 2018
People spend over five hours a day on their smartphones on average. 70% of web traffic happens on a mobile device, and more than 50% of videos are watched on mobile (93% of twitter videos).
Here's what happens every minute of every day on the internet
The crux of our presentation was that high-performance computing and advanced technology stacks are fundamental to today's trading strategies.
Earlier this week, IBM released a commercial we shot together about how IBM's Integrated Analytics System (IAS) is helping us re-invent hedge funds. Check it out.
Each generation of traders finds new ways to play the game and to generate Alpha (the excess return generated by manager skill, rather than luck or excess risk). As soon as enough people adopt a strategy (or figure out a way to combat it), the edge begins to decay.
When computerized data became available, simply understanding how to download and use it generated Alpha. The same could be said for each later evolution: the adoption of complex algorithms, access to massive amounts of clean data, and the adoption of AI strategies.
Each time a new shift happens, traders pivot or fail – it's not that active trading stopped working – it's that the tools and styles necessary to play that game evolved.
We use a similar concept we call "Active Switching". Instead of simply trying to pick stocks or markets, we use advanced technology and techniques to choose markets, techniques, risk levels, and allocation strategies. Further, we use Active Switching to make many decisions, great and small, that together allow us to build portfolios that adjust themselves to changing market conditions.
Playing a New Game
Confusion is the catalyst to most trades. What that means is the ability to parse information ... to create a contextual map of meaning and figure out where there's signal and noise ... is the new table stakes for playing that game. ~ Howard Getson
Historically, most active traders don't beat the S&P in any given year ... and even less beat it with any semblance of consistency. But those that do – the ones that have been doing it for long enough that it's not chance ... exercise a willingness (and a skill) to adapt quickly.
One of Charles Darwin's best-known concepts is: It is not the strongest species that survive, nor the most intelligent, but the ones most responsive to change.
While computers have made information accessible to everyone, they've also created a massive asymmetric information advantage for those who have both the access and the skill to best use the massive amounts of data now available. This is more complicated than it seems. You need the information, the technology, the process, and the people. There is so much data available now that figuring out what to ignore is probably more important than what to use. Likewise, the ability to ingest, clean, validate and curate the data is a huge hurdle that most can't clear.
Even with those skills, it's harder than ever to take advantage of inefficiencies (edges) than ever before. The edges are smaller, more fleeting, and surrounded by more volatility and noise. It's like finding a needle in a haystack. That being said - finding a needle in a haystack is easy when you have a metal detector.
That's where A.I. has come in for us. We use A.I. to develop algorithms, to analyze markets, and to create meaning where humans can't find any.
The Eye was rimmed with fire, but was itself glazed, yellow as a cat's, watchful and intent, and the black slit of its pupil opened on a pit, a window into nothing. - Frodo seeing Sauron through the Mirror of Galadriel in The Fellowship of the Ring
The Event Horizon Telescope just released the first-ever image of a black hole ... specifically a supermassive black hole with a mass 6.5 billion times heavier than our sun. This behemoth of a black hole is over 50 million light-years away in a galaxy we call M87. The little blob (in the picture below) is 25 billion miles across, and the bright part is brighter than all of the billions of other stars in that galaxy combined. To put it in context ... the black hole, shown below, is larger than our entire Solar System.
The image shows a bright ring formed as light bends in the intense gravity around a black hole that is 6.5 billion times more massive than the Sun
In my opinion, the black hole image is even more amazing when you zoom out and see the entire m87 galaxy. The little black dot inside the orange is the black hole.
via NASA/CXC/VILLANOVA UNIVERSITY/J. NEILSEN
To take a step back, a black hole is a celestial object that has a gravitational field so strong that light cannot escape it and that is believed to be created especially in the collapse of a very massive star. It warps spacetime and superheats all surrounding materials.
“In space no one can hear you scream; and in a black hole, no one can see you disappear.” ― Stephen Hawking
Before today, black holes had only been observed indirectly. We had math that "proved it." Now, we have direct, observable, and corroborated evidence for everyone to see.
Do you understand the gravity of that?
In my lifetime, Black holes have gone from a fringe theory to a possibility, to a probability, and now, to reality.
It is amazing to think about how right Einstein's theory of general relativity was ... especially considering that he did the math in 1915, before we had the technology and science to back it up. The basic idea is that the relative velocity of light doesn't change, therefore it must be a constant in our universe. Using his math, we were able to predict how a black hole would "look", and it was supported by the Event Horizon Telescope's image.
Veritasium puts understanding the image into better perspective. Check it out.
For a side note, the first proposal of black holes actually goes back to John Michell in 1784
"If there should really exist in nature any bodies, whose density is not less than that of the sun, and whose diameters are more than 500 times the diameter of the sun, since their light could not arrive at us; or if there should exist any other bodies of a somewhat smaller size, which are not naturally luminous; of the existence of bodies under either of these circumstances, we could have no information from sight; yet, if any other luminous bodies should happen to revolve about them we might still perhaps from the motions of these revolving bodies infer the existence of the central ones with some degree of probability, as this might afford a clue to some of the apparent irregularities of the revolving bodies, which would not be easily explicable on any other hypothesis; but as the consequences of such a supposition are very obvious, and the consideration of them somewhat beside my present purpose, I shall not prosecute them any further."
It took a massive amount of work to produce the photos of the black hole shown in this post. The ingredients: 200 researchers, 20 years, over 9 petabytes of data, 8 telescopes, and immense vision. Oh yeah, I almost forgot, it also took the 104 years of research since Einstein's theory.
Here's a TED talk from Dr. Katie Bouman in 2017, about taking a photo of the black hole. Katie went to MIT and led the creation of a new algorithm that helped produced today's image.
What're everyone's two favorite things? Paying taxes and receiving robocalls, obviously.
Phone scammers used to just target the elderly or those with poor English skills, but today, they go after everyone. In fact, Americans received over 30 billion robocalls last year ... and it's only getting worse. Around half of those are "legal," but more and more are scams.
Those scams increase during tax season.
Several of my friends have received calls from the "IRS" demanding immediate payment. That is a scam. The IRS has stated repeatedly, they will not call you asking for your credit card numbers over the phone, they will not threaten lawsuits, and they will not call you unless they've already tried reaching you by mail.
If increased robocalls weren't enough, you can expect your refund to be 8% lower than last year. Though the average refund is still several thousand dollars, and my home state of Texas can expect the highest returns.
Texas tops the list (Everything IS bigger in Texas) with $3,206 as the average tax refund. Maine inhabitants bottom out the list with $2,336.
It's worth mentioning that these refunds represent federal figures, and don't take into account any refunds from your state government - meaning there's likely more money flowing back to taxpayers than this map illustrates.
What many people don’t understand is that the size of your tax refund isn’t solely based on tax cuts or raises.
Getting a refund feels like a win, but it represents an interest-free loan to the government for the last year. In an ideal world, you'd have a refund of $0 - meaning you paid exactly what you were supposed to.
Don't forget to file your taxes (Monday, April 15th is the deadline to file without an extension) and if you want to protect yourself from robocallers, here are some tips:
Don't answer calls from unknown phone numbers - let them go to voicemail and call back if necessary
If you do accidentally answer a spam call, don't press any buttons or speak, as that simply alerts them that they've reached a working phone number
Don't call a scammer back, and don't engage with them ... it's like talking with cops, Anythingyou say can and will be used against you
To decrease legal calls sign up for the federal and state do not call lists
Check out CTIA's tip sheet on How to Stop Robocalls to see a list of apps available to prevent robocalls on your mobile OS
April Fools is a good chance for some much-needed levity, but it's also an opportunity for tone-deaf companies to try and resonate with their younger clientele. You get some fantastic pranks and funny jokes, but you also get some cringe.
Google claimed to have a physical screen cleaner feature on their phones that would also create a long-lasting non-stick shield.
Spotify replaced Discover Weekly playlists with Discocover Weekly playlists, including actual disco cover songs from artists you listen to.
The Bad
Logitech said it was rebranding its wireless mice as "hamsters" since they don't have tails.
U.K. Based Libert Games created a "Trump V Kim Nuclear Foosball Table" which comes with latex masks of Donald Trump and Kim Jong-un so you can truly embody the roleplay.
Elon Musk released an auto-tuned rap song called "RIP Harambe" about the Cincinatti Zoo Gorilla who was unceremoniously killed in 2016
Yet, some of the best April Fools pranks came ages ago:
The Best of All Time
In 1957, the BBC ran a segment on the Swiss growing pasta on trees. The story was on television, and back then, the television wouldn't lie to you ... right?!
In 1974, a local Sitka, Alaska prankster Oliver Bickar flew 70 old tires into Mt. Edgecumbe - a volcano that had been dormant for 400 years - and set them on fire. It was such a good prank that the Associated Press ran with it, Alaska Airlines used it in ads, and the admiral of the Coast Gaurd called the prank a "classic."
In 1996, Taco Bell announced it had purchased the Liberty Bell and named it the "Taco Liberty Bell" in an effort to help the national debt.
Microsoft: Are They Where They Thought They'd Be in 2019?
In 2009, Microsoft released a video anticipating the world in 2019. That was only 10 years ago.
I recently showed you how much Social Media has changed in 10 years - so how close was Microsoft's guess?
Watch this video to find out:
The answer is .... not as close as I would have thought. Nonetheless, they just hit a Trillion Dollar market cap. So, they must have gotten something right!
It's interesting to think about which factors or missing innovations caused the difference between their imagined vision and reality.
They really bought into scaleable, HD, transparent, touch screen displays being not only available, but located in everything by now ... which suffice to say, isn't the case.
The reality is ...
Making everything a device/screen means more opportunity for companies to serve you ads and retarget you ad infinitum.
Ultimately, I find this perceived "modern digital office environment" very inefficient. A lot of these "innovations" are less dynamic and easy to use than their analog counterparts. Mechanical keyboards serve a purpose.
In reality, a lot of the trends we've adopted to increase collaboration and sharing have been counterproductive. Not every office needs an open floor plan - not every team needs 15 subteams with 4 bosses - and using 20 different productivity tools actually decreases productivity.
That being said, we've come a long way in 10 years. Think about the quality of your phone in 2009 or your desktop computer - whirring loudly as it tried to access the disk, or the internet, or anything really.
What we have now isn't perfect - but it's leaps and bounds ahead of where we were. A lot of technology seems like science fiction - like the Babel fish from Hitchhikers Guide to the Galaxy.
Posted at 06:28 PM in Business, Current Affairs, Film, Gadgets, Ideas, Market Commentary, Science, Trading Tools, Web/Tech | Permalink | Comments (1)
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