We Don't Understand Exponentials

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With increasing frequency, I'm finding myself in a conversation with a seemingly smart person in which there seems to be a fundamental misunderstanding about the properties of an exponential function. And the lack of a  fundamental understanding of the exponential have grave consequences -- we may draw incorrect conclusions that have huge errors because of it.  Albert A. Bartlett perhaps said it best,

"The greatest shortcoming of the human race is our inability to understand the exponential function."

Mark Zuckerberg, maybe paraphrasing Barlett recently said, "Humans don't understand exponential growth. If you fold a paper 50 times it goes to the moon and back."  Amazingly Zuckerberg himself got it wrong;  Jason Culverhouse observes, "Actually, it goes to the Sun. I guess he made his point." I'll give Zuckerberg the benefit of the doubt -- he made a mistake and really does have a pretty good grasp of the exponential function.

And, perhaps creating the greatest confusion of all is Ray Kurzweil, a thinker and engineer I respect immensely. Kurzweil is predicting that the Singularity is Near because we are at the "knee of the curve" of some important trends that are changing exponentially -- a "point" in time where things start to change a lot faster. However, there is an important fallacy here:

There is no such thing as a knee to an exponential function.

I say this with all due respect to Mr. Kurzweil, who is is clearly much smarter than me.

Why We Are Fooled

When we look at the graph of an exponential function, our visual sensors (ahem, our eyes) seem to fool us. Isn't it "obvious" where the knee of the curve is? In fact, it's not obvious that there isn't a knee. The knee always seem to be at the right "edge" of the displayed graph. In the illustration below, the knee appears to be at a different place depending on the position where we examine x.

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How can this be?

It's not completely clear to me why we are fooled. But basically, I think it has something to do with the idea that regardless of where your observation point is, looking "left" always looks flat and small, while looking "right" always looks steep. For example, consider where we are at with hard disk drive densities. Today, we see that 1 terabyte hard disks are common place at less than $100. But, 10 years ago, $100 bought you roughly a 1 gigabyte hard disk.  That feels pretty small but understandable. Looking back, the curve looks pretty flat, appearing to change only very slowly. In fact, though, it's growing exponentially.  Looking forward 10 years, we'll have a 1 petabyte drive for $100.  And the pace looks amazingly fast. And it's pretty hard to imagine what a "normal" consumer would do with a petabyte.

Still not convinced that there is no knee to the exponential curve? Well, consider when we plot an exponential at log scale. There is no loss of information when we do this. Seems like we should be able see that knee in the curve. But of course, it's line. At log scale, the visual representation of the plot log(e^x) = x.

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At linear scale, it looks like the "knee of the curve" is somewhere around at 18. However, when we look at it at log scale, our eyes tell us nothing.

Why Does This Matter?

"So what?," you might be asking yourselves. Is this all academic wankerage? Does it matter in any practical terms? Indeed, I think it does. Our failures to understand how fast the exponential function grows might lead us to bad economic decisions. Albert Einstein is attributed with saying that, "The most powerful force in the universe is compound interest" -- a hat tip to the our lack of understanding of the exponential function. And, anyone that has heard the argument why you should start putting money into a 401(k) plan earlier rather than later has probably been told some dubious story about the power of compound interest/exponential growth. And, because the math behind the theory of our economy is based on formulas including exponentials, it's frightening that most politicians don't grok the exponential either. Chris Martenson tells a good story regarding the perilous situation we are in.   Agree with him or not, it's good food for thought.  Not understanding the power of the exponential will result in us making bad decisions. Finally, the next time you hear some some talk about exponential growth with just a data point or two (or three), be very weary -- such "curve fitting" is an error due to mathematical ignorance at best or deliberately misleading as worst.

Second, as software engineers, we should be careful not to implement solutions that run in exponential time.  And, in considering the problems we are attempting to solve, we should understand why it might be theoretically impossible to find a solution that we can't solve in less than exponential time and therefore seek to define different problems to solve.  Or implement a heuristic instead. Such analysis allows us to understand the "boundary of the solution space" for the problems we want to solve. While this might all sound like theoretical esoteria, understanding these algorithm complexities makes us better engineers. In short, understanding the potentially intractability of solving some problems in less than reasonable/"exponential" time is perhaps the most important unanswered question in theoretical computer science. (Note: For the non-computer scientists, I apologize for the vague and jargon rich language here in this paragraph.)

Last, for entrepreneurs, I'm sure you've run into venture capitalists that are all hot on businesses that are growing purportedly virally/exponentially. And, of course, in attempts to make a good investment, they want to put money in at the "knee of the of curve" (or where the curve "hockey sticks"). "Where is it?" you are asked. You should think carefully about how you are going to answer this question that doesn't quite make sense.  It's quite the "gotcha."

Hopefully, you have an understanding of the math of the exponential function and why we are often seduced by it. Then you won't be fooled by faulty thinking, and, further, you can build a  rhetorical argument around the magic of the exponential function for your own gain. Good luck!





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I've been following the news about the recently Iranian hijacked US drone with some fascination.  I'm a bit surprised by the lack of coverage -- or maybe not.  Perhaps there are sensitivities that haven't been revealed. So maybe keeping it all under wraps is extremely important, even though the information flow is a bit leaky.  Many parallels have been drawn between this incident and the downing of a U2 plane in 1962.

Of particular personal interest to me, is the navigation (or guidance) system used to guide and direct the drone.  It appears that the drone relied on GPS (Global Positioning System) for navigation.  Of course, GPS is the same technology used for your car navigation system and all those cool location based services you use on your IPhone.  Reports indicate the drone was compromised through an attack vector on the GPS navigation system. (Side note:  I've watched with equal fascination how easy it is to compromise your automobile through really unsophisticated attacks.)  From the Christian Science Monitor Report,  Iranian specialists  reconfigured the drone's GPS coordinates to make it land in Iran at what the drone thought was its actual home base in Afghanistan.

Certainly, if this is true, the security system that allowed access to the navigation system was compromised.  So, there is some fault in the design/implementation of that system.  The obvious fault lies here.

However, stepping back, maybe there's a more strategic design flaw?

Serious design considerations for how to build "modern" navigation/guidance system were contemplated probably as early as Sputnik -- the Beep Heard Round the World in 1957.    And, as guidance systems for Minuteman, SRAM, the B1, and all commercial airline systems were designed and deployed, an approach that did not rely on GPS was developed.  The design goal was to build a guidance system that was completely self contained and thus not reliant on any external systems.  In particular, any system relying on GPS was rejected.  The fear was that  external systems, such as GPS, could be compromised, especially through  EMI -- Electromagnetic Interference (resulting from enemy jamming or emissions from a nuclear blast).  Such compromises would render the navigation systems useless.

So, what was developed instead of GPS for navigation? 

Basically, math and a spinning top -- a gyroscope.  Using a Kalman filter, a gyroscope (to make measurements in the physical world), and a  pretty unsophisticated computer (that had less than few hundred bytes of memory) inertial guidance systems were built.  Missiles and airplanes were completely autonomous and self contained from external systems, hence insusceptible to compromises to GPS failures or communication attacks on such systems.

[I don't quite remember the math involved.  It had something to do with an optimization allowed by the Kalman filter so that instead of doing an NxN matrix inversion in O(n^3), the problem was reduced to inverting N*N 1X1 matrices in O(n^2).]

So, the take away for me today is that sometimes you need to take a step back from the problem you are solving.  Look at the big picture.  Maybe we're overly reliant on technology.  I romantically believe that math is the answer to many problems.

Season's Greetings

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(My Annual Holiday Letter, Published Here Online)

Dear Friends and Family,

2011 has come and gone quite quickly  It's been an eventful year.  So,  I've decided to send out an end of year update for the first time in years.  (Forgive me and hit delete now if you find this distasteful.)

It's Been a Year of Transition

Screen Shot 2011-11-30 at 2.58.50 PM.pngLess than a year ago last December, as I'm sure most of you know, my father passed away.  In 2007, he was diagnosed with bladder cancer that had metastasized to his lungs.  He went on to live 41 months, fighting a valiant battle.  The silver lining  is that, I think, he enjoyed much of that time (even though chemotherapy was so taxing) during those months.  For me, I spent quality time with my dad and family that under other circumstances I probably would not have.  In a strange way, I am blessed for that time.  Here's my tribute to my dad:  How the Cold War Was Won.  Last, I'll never again complain about getting poked in the arm by a needle for a blood draw or immunization.  Watching my dad endure getting stuck multiple times a day on top of all the chemo makes me realize what a wuss I was when I was a kid.


display.jpegEarlier this year, my grandmother (Yamamoto) also passed away.  She was 95.  I know she enjoyed life, against the backdrop of trying yet colorful times.  Even in the end, she brought happiness to those at Washington Care, with her positive disposition.  It was a bit confusing with back-to-back deaths in the family, but a time of great reflection.

Motivated by the great care given to my father by his oncologist, Dr. Evan Yu, I decided to raise money for the Prostate Research Fund.  Under this fund, Dr. Yu conducts much of his research in bladder cancer.  I figured that there was no better way to honor my dad than supporting Dr. Yu through this fund.  And, in turn, this effort was the seed of the ideas for my current company:


Charity Blossom
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At Charity Blossom, we're bringing donors and donations to charities and nonprofits.  I founded this company with Jason Culverhouse, a long time friend and colleague who I worked with at both BroadVision and MerchantCircle.  Our goal is to transform the charitable giving industry by making donating easy, efficient, and fun -- all on-line.  Here's my short plug for Charity Blossom.  Can you:

  1. Please visit us at www.charityblossom.org (and  like us on Facebook bit.ly/vKLuCp).
  2. If you are making charitable donations online, checkout Charity Blossom to do so.  We are the easiest and most efficient way to make charitable donations, we hope you do.
  3. Fill out this survey on charitable giving at  bit.ly/v7Xoz6. (Especially if you don't use Charity Blossom to make a donation!)


Speaking of MerchantCircle
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While I had left the company in all official capacities (except as a shareholder) more than a year ago, I've remained keenly interested and proud of MerchantCircle, a company I co-founded in 2004.  I'm happy to say that we sold the company to Reply in July of 2011.  It was a good exit, and I hope the synergy between Reply and MerchantCircle yield even greater value to the local businesses that we serve.  Here's what I had to say in a blog post: Like Peanut Butter and Chocolate.  Kudos to Ben for getting this deal done.


Looking Forward

In the light of all circumstances, 2011 has been a good year.  I've re-connected with friends, family, and co-workers.  I'm glad Mom and Jim are doing well.  Charity Blossom is rocking.   As for 2012, I'm looking forward to a banner year at Charity Blossom, hoping to see more of all of you, and starting to work of my film project about my grandfather (that's a story for another email).

Hope the end of 2011 is good for you and that 2012 is even better!

Regards,

Wayne

Take our Charitable Giving Survey: http://bit.ly/v7Xoz6 or
Make a  charitable donation or give the gift of a donation: http://www.charityblossom.org



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Over the Thanksgiving holiday, I took a nostalgic trip to the past -- junior high school.  We reminisced over good times, bad times and awkward times.  I had to say though, those years were not so horrible -- they were pretty much good times.  True, I was that dweeby, nerdy Asian guy with the bad haircut, glasses, and out-of-fashion clothes.  This was when being a nerd was the furthest thing from being cool.  But, I didn't care.  I was blissfully happy and ignorant of what others thought.

But, maybe this could all be attributed to a fortuitous happenstance. 

The head cheerleader was one of my best friends. It wasn't exactly clear why, but she was.  I had known her for a long time. She was the arbiter and director of all things and people cool and popular.   From that one friendship, other friendships were made. I mingled effortlessly with the pantheon of the junior high school elite and was invited to the best parties.  It was like an episode right out of the Wonder Years

Which brings me to my point:  Social Proof.

This friendship provided the Social Proof necessary for acceptance with all the cool kids.  And, from there, I "spiraled up" to meeting other cool kids.  Robert Cialdini, author of Influence: The Psychology of Persuasion, would be proud....Only if I had planned it this way.

Now, Influence is a great book -- a fun and easy read.  It's one of those bookshelf-wonders like the Art of War by Sun Tzu and Marketing Management by Philip Kotler that every (aspiring) MBA or consultant should have read.  Or at least have on the bookshelf.   And, (not so) ironically, it's received social proof from the cool VC/start-up pundits -- McClure, Ries, Suster.

And, today, Social Proof seems to have popped back into the current tech world discussion:

Social Proof Is the New Marketing.

When Social Proof Goes Awry (actually titled, "When the Majority Is Wrong," by Larry Cheng)

and A Guide to Using Authority & Social Proof in Fund Raising (from a while back).

Of particular interest is Larry Cheng's article.  I posit Social Proof is the flip-side of groupthink, colloquially referred to as the "Lemming Effect."  Groupthink is where Social Proof fails. Particularly interesting is how Social Proof is manipulated ("gamed") for unearned authority.  And, in our corner or the world, many carefully consider how to use Social Proof to get financing for one's start-up.  From the entrepreneur's perspective, if you don't have the goods, how do  you  build social proof ("Fake It Till You Make It, in dotcom 1.0 parlance) in your bootstrap process?  From the VC's perspective, can you tell when you've been "snowed" by "false" social proof?

220px-Can't_Buy_Me_Love_Movie_Poster.jpgIn short, can you really convince/manipulate the head cheerleader or captain of the football team to (pretend to) befriend you?  Which brings me to my meta-point;  Everything I learned about getting along with others, I learned in junior high school.  And, maybe it all works out in the end.

 














Tset Gnirut: The Reverse Turing Test

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SPTM.jpgThe Turing Test is a well known question considered by computer scientists, especially those studying artificial intelligence.  It's a basic question that helps us understand whether or not machines can think.  Essentially, the Turing Test asks,"Can you tell if you are conversing with a person or a computer?"  We've philosophized about this problem for 60 years.  I think it's becoming increasingly difficult to tell.  Consider Siri on the iPhone.  Is there someone behind the query that is manually figuring out the answers to your questions?

While at Pubcon this past week, I've realized that there is a reverse problem that many are trying to solve.  A problem that is equally interesting and perhaps becoming more difficult as well -- the Reverse Turing Test (which I call "Tset Gnirut").  Tset Gnirut is also a question:  Can a machine figure out if you are a human or a machine?  There is an on going effort to solve this problem, mostly around spam.

CAPTCHA popped onto the scene a few years ago.  Certainly, this was one form of the Reverse Turing Test.

However, after listening to Matt Cutts,  I realized Google's search quality group (well, at least those fighting index spam and defining search relevance) is all about answering Tset Gnirut. Detecting link spam is all about solving this problem.  Figuring out if link strategies are created by machines, deciding whether or not text has been created by humans or not,  understanding if a bot is clicking on links, or understanding if a tweet or facebook post is automatically generated are all problems of Tset Gnirut.

Machines are getting smarter and we are off-loading more and more of our consciousness to machines.  Machines are making more decisions for us.  Soon, the machines will figure out decide if you are a machine or not.  When that happens, it will be an interesting world when the machines decide they would rather talk to each other than talk to us.

Putting the Band Back Together

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I tread carefully when using tired metaphors.  However, "Putting the Band Back Together, " accurately describes the attempt to achieve success as a startup by pulling together a team from key players in a previous successful startup.   The anecdotal evidence for repeat success by a successful startup team that re-forms is pretty strong.  Consider:


In these instances, a founder is able to recruit a core team from past successes to create a new company.  Further, "re-coalescing" to work in the same, similar or adjacent space allows the players to re-create the "magic" that allowed them to be successful the first time around and leverage accumulated expertise.  It's not a guarantee for success, but perhaps it gives your company a leg up and reduces risk.

Why is this you ask?  After all, isn't past performance no guarantee of future return?  And, what of the possibilities that your team is in a "rut" and can't adapt to the rapid changes in the land of technology startups?  Further, since you and your team have enjoyed success, are you no longer "hungry" and now "lazy?"  Plus you are older and face the up hill batter of founded and unfounded biases against the  old.

All valid points.  However....

Making a Bet on the Past

The value of getting together "one mo' time" is undeniable.  You are a proven success story.   You are a team that has shown it can work together, stick it out in thick and then, and predict how others think, act, and decide.  You know each others strengths and weaknesses.  You are a "well-oiled" machine.  And, to mix-in yet another metaphor, you can complete the blind, over the shoulder alley-oop without even practicing.




Further, you are a proven success story.  Others have confidence in your team because you've done it before.  Investors are more likely to flock to you because of your past successes.  You might get a "pass" from a skeptical investor, partner, or potential new employee only because of your track record.  Possibly, odds tilt in your favor because success begets success.

What about Charity Blossom?

At Charity Blossom, we believe this.  We embrace this.  We're banking the company on it.

We're making a bet -- indeed, we've pulled together a team of known players that we've worked with, fought with, and succeeded with.  Nearly every key early individual I hired at MerchantCircle (merchantcircle.com) is back.  Engineers, product managers, marketing types, and biz dev managers are back in some form of another - employees, advisers, contractors, partners, and seed investors.  Even our legal team and F&A organization are staffed with people we worked with at the 'Circle.  At Charity Blossom, we  leverage our past experience and success in an adjacent space with similar characteristics.  What small businesses are to MerchantCircle, nonprofits are to Charity Blossom.

Moreover, we tap relationship strengths that are even older and more successful.  We've brought in some of the very successful personnel from the early days of BroadVision.  Sales people, product managers, and marketing executives from a company Jason and I help grow to a $25 billion market cap are all on board too.  In fact, at Charity Blossom, some of us --  Jason, myself, and few others -- are on our "third tour of duty."  We've known each other for over 20 years.

Of course, we don't rely only on people from our past.  We are bringing in "new blood" too - we believe this is key.  Even so, the initial players, the culture and "DNA" of the company, the processes, and the philosophies come from our past.  An injection of new people bring updated and different values that we believe are essential to transforming the company for the future while we believe we must leverage our strengths from the past.

What about Investors?

One thing we are carefully considering - will we bring in investors from our past?  Or  will we work mostly new investors?  Certainly, we've worked with some great ones in the past (Rustic Canyon Partners, Scale Venture Partners, Steamboat Ventures, IAC).  Investor relationships are obviously key too.  However, is  there great strength in leveraging these past partners too?  We think so, but we are less certain than the importance of bringing together the old operating team.

Relationship Matters (or Relationships Matter)

Putting the Band Back Together hinges on a key issue - the people you used to work with must want to work with you again.  And perhaps you must understand why.  Do they really want to and enjoy working with you?  Are they in it for the money?  Do they want to work the other people you have brought on board?  Sometimes, even if people didn't enjoy working with you in the past, they might want to do so again.  Maybe because coming together again is just a means to an end - success.

However, I've come to realize that if I won't enjoy working with someone, I probably won't bring him/her into the band (at least in the early stages). Life is too short.  When I was younger, I thought differently.   Stellar players are often difficult to work with.  I'd sacrifice for the talent.  (What? That prima donna killer drummer that is difficult work with is available?  Go for it!)  Further, the reason you hire good management is to get the best players to operate at maximum capacity while mitigating the "collateral damage" from difficult personalities. Nonetheless for the first few players, I've decided not to go with "difficult" talent, regardless how good they are.

Ultimately, your ability to work with people again depends on the relationships you had in the past.  Indeed relationships matter.

Timing

You can't always put the band back together because the timing might not be right.  Regardless of how much  former colleagues might want to work with you, it might not be the right time for them.  Perhaps he or she just started a new gig.  Or there are personal circumstances that prevent someone from coming on board.  Timing is critical if you take this approach.

Further, you really can't approach a former co-worker of your last company.  Only when they approach you or after they leave can you engage.  It's just too messy.  (BTW, I'm thinking about you, Wes Mitchell.  ☺)

Charity Blossom:  The Reunion Tour

Our core team is in place and we're ready to rock.   We've taken the approach of focusing on hiring key people from a pool of people we've worked with before. Each new person that has come on board has been able to "hit the ground running."  (Pardon yet another  metaphor).  A few "mix-ins"/additions have plugged in.  But, we're largely a band doin' it again, one more time.  Indeed, we've pulled the team together from a deep list of BraodVision and MerchantCircle colleagues that have been instrumental in our past successes.

We're off making some music and hopefully we'll produce a monster hit!

The Band:


Who Else (Or Are We Crazy to Have Drunk the Kool-Aid)?

Is there really evidence for this approach?  Perhaps looking in the "rear view mirror" to predict if this will work in 2011 might not be the best predictor for future success.  The time and place in which these aforementioned success stories might be very different than today.

But others are making this bet.  Here's who I'm watching:

I'd bet on them too.

Job Creation -- Is Something Amiss?

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Among my friends and co-workers, we continually debate two disjoint topics that are seemingly related.   I find it increasingly uncomfortable that these two discussions don't intersect because they are related.

First, we  complain and contemplate the frothy technology market --  Are we in a bubble or not?, paths to exit, and the dearth of quality engineers and designers.  Certainly, these are high quality, "first world" problems.  From the outside,  I'm sure it sounds like a lot of elitist whining. 

On the other hand, we consider the possibility of a global (economic) melt down and decreasing wealth and power in the United States.  The European economy, the Arab Spring, the shaky US economy, and China all seem to broadly contribute to this concern. Is the United States in deep doo-doo?  Are we on a long term permanent decline?  Most recently, it's been "what are "we going to do to create jobs?"  Unemployment at greater than 9% is a crisis.

From one perspective, job scarcity threatens our country.  From another, there aren't enough qualified workers to satisfy the demands of our industry.

What's going on here?  It's all most as though these discussions are happening on two different planets.

In general, it seems reasonable that "Job Creation" is a good thing.  Having more jobs and more people employ seem to benefit society. And, yet the Information Technology industry has been systematically destroying jobs in the name of efficiency, productivity, and improving the quality of life for all.  The demand for more IT workers to that destroy and industries has never been higher. 

Let's peel back the onion an take a look.

Are Web About Job Creation?  Or Job Destruction?

The computer industry (whether it be hardware, software, Internet) is all about automation, efficiency, and exponential change and improvement.  This has gone on for decades.  The impact on society is breathe-takingly noticable. Price decreases, improved product quality, frictionless communication, and access to tools and devices that were unimaginable (except for maybe Star Trek fans,  Aurthur C. Clarke, and Jules Verne) are the results of the computer revolution.

But, along the way, we have created a long term ecosystem that is destroys jobs as a consequence  Insiders use the phrase industry disruption.  We are really all about job destruction. For all the talk in Washington and in local coffee shops about job creation and "putting Americans back to work," the technology industry is like Godzilla, destroying jobs and industries in its path.  Sure, the tech industry creates jobs.  But for every job created, thousands of jobs are made obsolete by the advancement of more technology.

And, this has certainly been a long term trend in my career.

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My first job out of college was working for AT&T Bell Laboratories ("The Phone Company")  I was a software engineer writing code for the 5ESS, perhaps the largest and most complex distributed software system in the world at the time.  More specifically, I built software to automate "call processing" and make the telephone system infrastructure more efficient.  As a consequence, tens of thousands, if not hundreds of thousands, jobs went away.  Telephone operators, telephone pole climbers, bill processing agents, customer service reps, blue collar workers who build telephone switches, and even other software engineers (because I was also building tools to make software engineering more efficient) all lost their jobs.

79578293_7WG9T-L.jpgI later went to work at BroadVision.  First, we built some of the early infrastructure for ecommerce, transforming Main Street and small businesses.  The rise of ecommerce (probably most symbolized by Amazon) made retailing more efficient, resulting in job losses in the entire supply chain. I then went on to  build financial services software putting bank tellers and stock brokers out of business.  Next up was travel.  We built some of the first online travel systems (.e.g. American Airlines) so that you could purchase airplane tickets over the Internet.  The travel agent industry was never the same.

I then founded MerchantCircle.  While the verdict is still out on it's impact, our goal was to completely transform how small businesses bought advertising.  The effect was going to put the Yellow Pages out of business, eliminating "feet on the street" sales forces that sold such advertising.  Again, will tens of thousands of sales people be out of work?

And now, at Charity Blossom, we're out to transform the charitable giving industry by making donations easy, efficient, and fun.  Along the way, how fund raising is currently done is going to change dramatically.  We don't know precisely how this is going to play out, but large events, fund raiser activities, and internal operations for those on the "development" side of nonprofits are going to change.  Hopefully, for the better.

Is this Good?

On the surface and in a fairly deep examination, it seems that the progress that we've made in the Information Technology industry is good.   We operate more efficiently, we have access to more stuff, and products and services are cheaper.

Looking back, we've moved from an agrarian culture to an industrial culture, incorporated more process efficiencies (e.g. the factory assembly line), decreased the number of hours, and days we work.  Much like technology's impact, processes got more efficient and we believed that life would get better as a result.  And it probably has.  More free time (i.e. less time working) promised to lead to a more fulfilled, more satisfying, and happier lives. We'd have more time to "enjoy life."

However, as technology removes (rather "destroys") jobs and entire industries, what will happen to those that were (happily) employed in those roles?  Are we creating new jobs or are jobs just going away?  And, if there are new but different jobs,  can we re-train a work force to do something completely new?  In other words, can we "teach old dogs new tricks?"  Or are we fooling ourselves?

As politicians get on the "job creation" bandwagon (who could argue against this?), we are left with more sound bites than substantive solutions to our "job problem."  I'm not sure what the solution is.  Technology marches on.  I'm not sure where this ultimately leads.  A world where there are far less people working and far more machines working is coming.  Utopian or dystopian, I know not.  That point in time is near.  I can hardly wait.  (That's a topic for a new blog post in the future.)  In the mean time, as technologist continue to make the world a better place, a few jobs are created, millions more are destroyed, and entire industries will go away, all most overnight.

 






IPhone 4S Upgrade

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Last Friday, I wandered by the Apple store.  Surprisingly, there was no line so I walked in and upgraded to the iPhone 4S.  I was planning on doing soon anyway (my 3GS is bonk), so I figured now was as good at time as any.

The migration of personal data from my 3GS to the 4S was a little painful -- I'll go into that later.  However, here are some tips that might make upgrading easier.

  1. Update to the latest version of Lion and iTunes on your Mac.  (For you PC users, I can't help you)
  2. Sync your old iPhone (the 3GS) with iTunes.
  3. Plug in your new 4S to iTunes.
  4. RESTORE your new 4S to the original settings.  (I know, I know...you shouldn't need to do this.)
  5.  RESTORE your 4S from backup.
  6. Walk through the menus to configure things up (e.g. activating iCloud).  You might still need to do a few more things like re-entering your email passwords.
  7. Re-boot.  A few apps were failing (e.g. Netflix).  Re-booting fixed the problem.

Before I used the above process, there were a few problems.

  • The Apple employees suggest that I copy my contacts from my 3GS and 4S, using their in house system for doing so.  This took like 45 minutes.   Wasn't worth the wait.
  • Seems like activating iCloud before transferring state from the 3GS to the 4S caused problems.
  • Not sure why the RESTORE to original settings was needed.  It seems like my new iPhone did pick up some new software even though iTunes says everything was up to date.  Simply synching or restoring from back up didn't work.
YMMV




Remembering Jeff Randall

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Many years ago, I graduated from Kentridge Senior High School in Kent, WA.  Today, Kent seems like a place far away, in both time and place.  However, tomorrow night is my high school reunion.  In front of it, many are reminiscing and remembering back to yesteryear (on Facebook of course!).  In particular, there seems to be at least a little of attention to those that have passed -- they all seem so young; death seems so premature, even at our age.

For me, I remember and honor Jeff Randall, one of my best friends.  Here's what I said at his memorial service nearly 3 years ago.  I can't believe it's been that long and yet, it only seems like yesterday.

I miss you, bud!


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Remembering Jeff Randall (December 22, 1963 - September 7, 2008)

September 13, 2008

Tribute by Wayne K. Yamamoto

Hello.

My name is Wayne Yamamoto. I met Jeff in 1975 -- 33 years ago, in the 7th grade, at Meeker Junior High. While we were great friends during junior and senior high school, our lives continued to cross paths. Our friendship grew stronger every year. When I first lived in San Francisco in 1985, Jeff lived in San Francisco when he worked at Chevron. When Jeff moved to Chicago with Xicor, I was also in Chicago working for Bell Laboratories. After I moved to Seattle in 2001, Jeff and his family returned home shortly thereafter. And, his move back to the mid West with San Disk drew us even closer - his new job would take him to the San Francisco Bay Area frequently, where I too often visit. He was one of my best friends.

I have many stories about Jeff to share. Some of them would seem to be outrageous and out of control. However, there was an underlying theme to all of our adventures -- have fun, be crazy, but be responsible.

I won't elaborate on the specifics of any one story - to protect the innocent and the not so innocent. However, I will say this. Jeff was usually thinking ahead. One late evening after a particular rambunctious outing when we were in high school, Jeff asked me to reach into the glove box of his car. I did so, and I found 9 crisp 100 dollar bills. That was a lot of money back then. Perplexed, I asked him what this was all about. "Bail money," Jeff replied, "just in case we get in trouble. Better be safe and prepared than without a plan and sorry."

Throughout our lives, Jeff and I would have deep and meaningful conversations. I think this might come as a surprise to Lee Anne, Jody, and some of the other wives in the peanut gallery. Sure, we had our share of MAN's MAN talk - Golf, NASCAR, beer, and work. However, most of our talks were deeply personal and substantive. They usually centered around family and relationships. When Jeff last visited me a few weeks ago, Jeff shared with me in great detail what a wonderful trip to Seattle he had with just Ginny and Kate. He told me how much he missed Lee Anne on that trip and all she did, while at the same time appreciating this one time where he was able to spend by himself with his girls. He loved Lee Anne and their girls so much. It was so evident in this trip.

Last, a friend of Jeff and mine from high school shared with me this observation. Jeff was so proud of his girls. Did you know anyone who opened his wallet more often because he was so happy to pull out pictures of Ginny and Kate and show them to everyone around?

Let us remember Jeff as a great man, a great husband, a great father - and for me - a great friend. Jeff: I'll miss you and I love you.

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It's a Bubble

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There.  I said it.  I'm calling it.

Where others tread gingerly around this topic, I'm going out on a limb -- we're in a technology bubble.  How come so few will say it? It's kinda like cleverly called oneself, "The Artist Formerly Known as Prince."  If it looks like a bubble, feels like a bubble, and pops like a bubble, isn't it so?

Ironically, it feels like we're partying like it's 1999.  At least when you go to the parties, the bars, and the restaurants.  I feel the energy.  The euphoria. The optimism. And the darker cousins -- greed, fear, and arrogance.   (BTW, for those three super smart people sitting outside of Beretta yesterday, thank you so much for your insight on the future of the media, the Internet, and the world.)

The good news is that the bubble is still inflating.  Sure, there are a few hissing sounds and maybe that's good.  These are the warning signs. And, there are some sane voices out there with a good perspective on things.  Listen carefully and act:  You still have time to take when the taking is good.   Listen to these people.   And, to put things in perspective, this bubble still is far cry from the bubble of yesteryear.

Will it pop?  Or will it quietly deflate and we won't suffer the consequences  of a traumatic downturn?  And then, all most by definition, it won't  be a bubble after all.

Key dates to watch:   August 3 if we can't get this debt limit thing worked out.  And January 23, 2013 -- after the elections.

In the mean time, it feels like 1999.  Keep partying.  But, remember to take something off the table too.  And save for a rainy day.