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January 20, 2017

Can you believe this…

(A different report style today – The Future?  So what has this to do with trout fishing?  With all these imminent unbelievable changes in the uncertain  future there is only one reliable constant to keep us sane, that has remained much the same for the last few hundred years – but you will have to read to the bottom to find out…)

CAN YOU BELIEVE THIS???

The future:

 
While time predictions may be premature and success of all technologies presented may not succeed, this stuff is thought provoking!
 
The FUTURE is approaching  faster  than one can handle….!
                  
              
In 1998, Kodak had  170,000 employees and sold  85% of all photo paper worldwide.            
              
Within just a few years, their business model disappeared and they went  bankrupt.

What happened to Kodak will happen in a lot of industries in the next 10 years and, most people won’t see it coming.

Did you think in 1998 that 3 years later you would never take pictures on film again?
                    
Yet digital cameras were invented in 1975.  The first ones only had  10,000 pixels, but followed Moore’s law.  So as with all exponential technologies, it was a disappointment for a time, before it became way superior and became mainstream in only a few short years.  It will now happen again with Artificial Intelligence, health, autonomous and  electric cars, education, 3Dprinting, agriculture and  jobs.  

Welcome to the 4th Industrial Revolution.  Welcome to the Exponential  Age .                   
Software will disrupt most traditional industries in the next 5-10 years.
                                           
Uber is just a software tool,  they don’t own any cars, and are now the biggest taxi company in the  world.                 
              
Airbnb is now the biggest hotel company in the world, although they don’t own any  properties.                         
              
Artificial  Intelligence:  Computers become exponentially better in understanding the world.  This year, a computer beat the best Go-player in the world,  10 years earlier than expected.
                                       
In the US , young lawyers already don’t get jobs.   Because of IBM’s Watson, (*explained below) you can get legal advice  (so far for more or less basic stuff) within seconds, with 90% accuracy compared with  70% accuracy when done by  humans.  So if you study law, stop immediately.  There will be 90% less lawyers in the future, only specialists will  remain.  Watson already helps nurses diagnosing cancer, its 4 times more accurate than human nurses.
                           
Facebook now has a  pattern recognition software that can recognize faces  better than humans.  In 2030, computers will become more intelligent than humans.
                        
Autonomous  cars  : In  2018 the first self driving cars  will appear for the public. Around 2020, the complete industry will  start to be disrupted. You don’t want to own a car  anymore.  You will call a car with your phone, it will show up at your  location and drive you to your destination. You will not need to  park it, you only pay for the driven distance and can be  productive while driving.
              
Our kids will never get a driver’s licence and will never own a car.   
              
It will change the cities,  because we will need 90-95% less cars for that.  We can transform former parking spaces into parks.  1.2 million people die each  year in car accidents worldwide.  We now have one accident every 60,000  miles  (100,000 km), with autonomous driving that will drop to 1 accident in  6million miles  (10 million km). That will save  a million lives each  year.             
              
Most car companies will  probably become bankrupt.  Traditional car companies try the evolutionary approach and just build a better car, while tech companies (Tesla, Apple,  Google) will do the revolutionary approach and build a computer on  wheels.
                              
Many engineers from  Volkswagen and Audi; are completely terrified of  Tesla.
                           
Insurance  companies will have massive trouble because without accidents, the insurance will become  100x cheaper.   Their car insurance business model will disappear.
                           
Real  estate  will change.  Because if you can work while you commute, people will move further away to live in a more beautiful neighbourhood.                          
              
Electric cars will become  mainstream about 2020.  Cities will be less noisy because all new cars will run on electricity.
                           
Electricity will become incredibly cheap and clean:  Solar production has been  on an exponential curve for 30 years, but you can now see the burgeoning impact.  Last year, more solar energy was installed worldwide than fossil.  Energy companies  are desperately trying to limit access to the grid to prevent competition from home solar  installations, but that can’t last.  Technology will take care of that strategy.
                          
With cheap electricity comes  cheap and abundant water. Desalination of salt  water now only needs 2kWh per cubic meter (@  0.25 cents). We don’t have  scarce water in most places, we only have scarce drinking water.   Imagine what will be possible if anyone can have as much clean water as he wants, for nearly no cost.
              
Health: The  Tricorder  X price  will be announced this year.  There are companies who will build a medical device (called the “Tricorder” from Star Trek) that works with your phone, which takes your retina scan, your blood sample and you breath into it.
                        

 

It then analyses  54 bio-markers that will identify nearly  any disease..  It will be cheap, so in a  few years everyone on this planet will have access to world class  medical analysis, nearly for free Goodbye, medical establishment.
             
3D printing: The price of the cheapest 3D printer came down from  $18,000 to $400 within 10 years. In the same time, it  became 100 times faster. All major shoe companies have already started 3D printing  shoes.
         
Some spare airplane parts are already 3D printed in remote airports.  The space station now has a printer that eliminates the need for the large amount of spare parts they used to have in the past.
                        
At the end of this year, new smart phones will have 3D scanning possibilities.   You can then 3D scan your feet and print  your perfect shoe at home.
                          
In China, they already  3D printed and built a  complete 6-storey office building.  By  2027, 10% of everything that’s being   produced will be 3D printed.
                                 
Business  opportunities: If you think of a niche  you want to go in, first ask yourself: “In the future, do I think we will have that?” and if the answer is yes, how can you make that happen sooner?                    
              
If it doesn’t work with your phone, forget the idea.  And any idea designed for success in the 20th century is doomed to failure in the 21st century.
                          
Work : 70-80% of jobs will disappear in the next 20 years. There will be a lot  of new jobs, but it is not clear if there will be enough new jobs in such a short time.  This will require a rethink on wealth distribution.              
                        
Agriculture : There will be a  $100 agricultural robot in the future.  Farmers in 3rd world countries can then become managers of their field instead of working all day on their  fields.
                    
Aeroponics will need much less water.  The first Petri dish produced veal, is now available and will be  cheaper than cow produced veal in 2018. Right now, 30% of all agricultural surfaces is used for cows.  Imagine if we don’t need that space  anymore.             
              
There are several start-ups who will bring insect protein to the market shortly.  It contains more protein than meat. It will be labelled as “alternative protein source”  (because most people still reject the idea of eating  insects).
                                  
There is an app called  “moodies” which can already tell in which mood you’re in.  By 2020 there will be apps that can tell by your facial expressions, if you are lying.  Imagine a  political debate where it’s being displayed when  they’re telling the truth and  when they’re not.
 
Interesting…  Considering Brexit and the recent US election results, the world is looking at an uncertain future. 

There remain few things that will not change… 

Most important of all – trout fishing will remain the same.

 

* “IBM’s Watson” explained by Wikipedia:

Development:

Since Deep Blue‘s victory over Garry Kasparov in chess in 1997, IBM had been on the hunt for a new challenge. In 2004, IBM Research manager Charles Lickel, over dinner with coworkers, noticed that the restaurant they were in had fallen silent. He soon discovered the cause of this evening hiatus: Ken Jennings, who was then in the middle of his successful 74-game run on Jeopardy!. Nearly the entire restaurant had piled toward the televisions, mid-meal, to watch the phenomenon. Intrigued by the quiz show as a possible challenge for IBM, Lickel passed the idea on, and in 2005, IBM Research executive Paul Horn backed Lickel up, pushing for someone in his department to take up the challenge of playing Jeopardy! with an IBM system. Though he initially had trouble finding any research staff willing to take on what looked to be a much more complex challenge than the wordless game of chess, eventually David Ferrucci took him up on the offer.[35]

In competitions managed by the United States government, Watson’s predecessor, a system named Piquant, was usually able to respond correctly to only about 35% of clues and often required several minutes to respond.[36][37][38]

To compete successfully on Jeopardy!, Watson would need to respond in no more than a few seconds, and at that time, the problems posed by the game show were deemed to be impossible to solve.[12]

In initial tests run during 2006 by David Ferrucci, the senior manager of IBM’s Semantic Analysis and Integration department, Watson was given 500 clues from past Jeopardy! programs. While the best real-life competitors buzzed in half the time and responded correctly to as many as 95% of clues, Watson’s first pass could get only about 15% correct. During 2007, the IBM team was given three to five years and a staff of 15 people to solve the problems.[12] By 2008, the developers had advanced Watson such that it could compete with Jeopardy! champions.[12] By February 2010, Watson could beat human Jeopardy! contestants on a regular basis.[39]

 

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