Updating Apple Products

I started out as a Windows user and was actually a Windows programmer (using MS Access) for quite a long time. I resisted the siren call of Apple products and stuck with Windows for years and years, for work and for personal use.

Finally, I gave in and bought a MacBook Pro in 2011 which turned out to be a great purchase (and got rid of my Windows Desktop PC). I always had an iPhone for my personal cell phone and when I turned in my work Blackberry (a sad day at the time) for an iPhone, that meant that I had two iPhones. For a while I also used a Mac at work, although I ended up switching back to a Windows laptop because password resets, system upgrades and a lack of compatibility for applications built for Windows made it too much of a pain in the rear. Mac laptops still struggle in the corporate world.

Then over the years I of course bought an iPad and then upgraded that iPad, and an Apple Watch, which I really like (although the jury is mixed on that one). Here is an Apple Watch article and review that I wrote.

Thus I now have five (5) Apple products – a MacBook Pro, an iPad, an Apple Watch, and two iPhones. And now it is time for all the updates… iOS 10 is out now which means I need to update my iPad and both iPhones. Apple Watch OS 3 is also out and I am downloading that right now (downloading the operating system into the watch, from the iPhone, seems to take a long time). My MacBook Pro will get updated to the new Sierra OS when it comes out on Tuesday, September 20th.

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Worthwhile Watching

…especially for Labor Day weekend

There probably aren’t too many TV series centered around a CNC machine shop…but there’s at least one, and it’s called Titans of CNC.  The producer and central figure, Titan Gilroy–yes, that’s his real name–grew up in rough circumstances, spent some time in prison, and eventually learned machine-tool operation and CNC programming. With these skills in hand, he built a pretty substantial business, Titan America, which is focused on precision machining, mainly producing components of products being made by larger companies.

The program is about the challenges involved in the operation of Titan America and a portrait of some of its employees and customers.  It is also a passionate argument for the importance of manufacturing in America.  Sponsors include  Autodesk, IMCO Carbide Tools, Haas Automation and GoEngineer.

The series was made for a cable channel called MATV, which is owned by Lucas Oil Products and is targeted towards car people.  It’s available on Amazon streaming, which is where I’ve been watching it.

There’s an interview with Titan in Manufacturing & Technology News.

Monitoring Air Quality – Speck Sensor

Due to the fact that computing power continues to increase exponentially, devices that once were out of reach for the general population are now becoming mainstream. I wrote about Netatmo, a device that measures temperature, humidity and sound (indoor and outdoor) here. Due to the internet, these devices can also be connected together in order to see a real-time version of the country, without having to look at a weather forecast.

Recently I saw an article in an MIT journal about indoor air quality which described how cooking eggs aggravated the authors’ asthma and they were able to take specific actions because they were able to pinpoint the source of the spike in unclear air. The name of the company that created the monitor is called Speck and it was sold for approximately $200 so I thought that was a decent price point for me to join the air quality monitoring revolution. I am specifically most interested in INDOOR air quality but I will explain the broader context and then come back to the specific items I am reviewing (basically you can get official measurements of air quality in the US from public sources).

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New Jobs Contest! You Could Be a Winner!

In a comment to my post About Those Job-Killing Robots, TM Lutas said:

If you want to slay the mistaken talk about the end of human employment, hold a contest. Come up with labor demand boosting ideas that we do not engage in today because we either don’t have enough people or don’t have enough money to do it. Weigh jobs that don’t require much intelligence or education as more valuable than those requiring high education/intelligence. Within a year I predict enough entries to be submitted to put the entire world to work multiple times over.

It is a bit embarrassing to think about things we are too poor to do. This makes these jobs invisible to us today. By creating a contest and an artificial market for these ideas, they become visible and we turn from despair at the jobless future to wondering how we can become efficient enough to afford to do all these wonderful things.

Let’s prototype the contest here, among friends (and a few special adversaries and maybe even some enemies), and maybe we can roll it out later on a larger scale. The winner will receive a microscopic amount of fame, and also a virtual certificate, not suitable for framing.

What are the things that we collectively and individually can’t afford–but might be able to afford given higher levels of productivity and national income–that would meaningfully affect well-being and human satisfaction?  Define “things” as broadly as you like.  Consider both things that could become more affordable due to productivity improvements in a specific industry, and things whose creation might not by itself be meaningfully improvable from a productivity standpoint but which people could better afford given an upward trend in overall productivity and income.

Thoughts?

About Those Job-Killing Robots

Every day, there are articles and blog posts about how quickly robots are replacing jobs, particularly in manufacturing.  These often include assertions along the lines of  “robots are replacing human labor so rapidly and so completely that it doesn’t really matter whether the factories are in the US or somewhere else.” There are also many assertions that robotics and artificial intelligence will triumph so completely that we must accept that we will permanently have a huge unemployed population who will need to be paid a “basic income” of some sort from the government.

This May, there were breathless headlines about how Foxconn, which is Apple’s primary contract manufacturer, was replacing 60,000 workers with robots–indeed, in some tellings, had already replaced them.  If you google “foxconn 60000 workers”, you will get about 130,000 hits.

But the story, however, is false; indeed, it did not even originate with Foxconn but rather with some local Chinese government officials who wanted to promote their area as “innovative.”

There has also been a lot of coverage of robotics at Adidas, which is trying to use automation to improve the labor productivity of shoe-making to the point that it can be done economically in high-wage countries such as Germany.  This article on Adidas also cites the Foxconn “60,000 jobs” assertion.

One key pair of numbers is missing from the stories I’ve seen on the Adidas project:  the ratio of human workers to shoes produced, with and without the addition of the robotics. You can’t really judge the labor-reducing impact of the project without these numbers.  In  this Financial Times article, Adidas is quoted as saying, entirely reasonably, that they will need to get further into production with their new factory before developing meaningful productivity numbers.  The article also cites Boston Consulting Group as estimating  that by “2025 advanced robots will boost productivity by as much as 30 per cent in many industries.”  Thirty percent is a very significant number, but it’s a long, long way from a productivity increase that would imply that factory jobs don’t matter, or that we’re going to inevitably have a very large permanently-unemployed population.

There are a lot of very significant innovations taking place in robotics and AI, but the hype level is getting a little out of hand.  And it’s important to remember that automation is not a new phenomenon.  For example, a CNC (computer numerically  controlled) machine tool is a robot, albeit it might not look like the popular conception of one, and these machines, together with their predecessor NC (numerically controlled) machines, have been common in industry since the 1970s. One thing that articles and blog posts on the topic of robotics/AI/jobs could benefit from is a little historical perspective: do today’s innovations really represent a sharp break upwards in labor productivity, or are they more of a continuation of a long-term trend?  And how, if it all,  is the effect of these technologies appearing in the productivity statistics?