How Do You Say Apple In Mandarin?

I noticed this aside in a CBInsights piece on the state of AI assistants in China:

Among US big tech, only Apple’s Siri supports Mandarin on the iPhone. The company’s Homepod smart speaker only supports English, and is not available in China.

This sounds very much like my ongoing issue with the lack of Siri support on AppleTV. Siri is available on iOS in many different languages, but for whatever reason, Apple does not capitalise on that capability to deliver Siri functionality on its other devices.

The assumption is that this behaviour is driven by App Store issues:

I have never watched the Godfather films (I know, I know), and with some intercontinental travel coming up, I thought this would be a good time to load them up on my iPad and finally catch up - forty years late, but who’s counting?

Since I no longer have any truck with physical media, my first stop was iTunes. At first I thought they did not have the films, but this turned out to be because I live in Italy, and so they are listed as
Il Padrino
. Fair enough, except that it’s not just the title card that’s Italian; the only soundtrack available is an Italian dub. It’s not even the original, it’s a re-dub, and the reviews are all one-stars complaining about the new dub.

Of course iTunes has all three Godfather films in the US store, but Apple in their wisdom tie your iTunes account to the country your credit card is registered in. This means I can’t simply download the English-language version from the US store.

However, when it is keeping Apple out of a market the size of China, which its competitors are unable to enter because of their lack of language support, I would suggest that it is high time to figure out a way around this problem.

Here’s hoping…

New Frontiers In Driver Idiocy

I always get very irritated by people in new high-end cars – ones that certainly have Bluetooth, if not CarPlay or Android Auto – using their phones in their hands. What, you can’t spare thirty seconds to set up the hands-free connection once? After that you can keep your phone in your pocket/handbag/briefcase/whatever, and have both hands free for the actual driving! But no, you have to drive one-handed, or with the phone squeezed between your head and shoulder like the Hunchback of Notre Dame, squinting sideways at the road.

Today, however, I saw something that beats that. This person did have her phone connected to hands-free, and I know because everyone in the street could hear her conversation over the cranked-up stereo. However, for whatever unknowable reason, she was still holding the actual phone in her hand.

I was so flabbergasted I missed my chance to take a photograph of the madness.

Now I have real concerns about how this woman lives the rest of her life. Does she put boots on over her shoes? Or try to use knife, fork, and spoon all at the same time?

Shocking News: Water Wet

After extensive research, we can reveal the shocking result:

If you refuse to sell things to people, they won’t pay for them.

Vice versa, if you make things available to sell, many people will buy them.

The UK’s media regulator, OFCOM, have announced that streaming services such as Netflix and Amazon are now more popular than satellite and cable TV, as reported here: Piracy Audiences Are Untapped Pools of Wealth.

A Practical Example

The best recent example of this mechanism in action is with the excellent SF show The Expanse. This was originally on the US SYFY channel, but after three seasons, the show was due to be cancelled.

The cancellation decision by Syfy is said to be linked to the nature of its agreement for the series, which only gives the cable network first-run linear rights in the U.S. That puts an extraordinary amount of emphasis on live, linear viewing, which is inherently challenging for sci-fi/genre series that tend to draw the lion’s share of their audiences from digital/streaming.

Let’s emphasise that point: Syfy was reliant on live, linear viewing, and only in the US. Time-shift it, and it doesn’t count. Outside the US, and it doesn’t count. Downloaders definitely don’t count. Syfy were basically running a race in shackles, and they were only able to get as far as they did on the strength of some pretty outstanding content. As the novelty waned, though, this quality bonus stopped working quite as well.

Once the problem became clear, the logical next step was to ask the streaming services to step in, backed by a massive fan-led campaign to Save The Expanse. The lobbying was ultimately successful, with The Expanse coming to Amazon Prime.

Amazon is of course best placed to tap into that revenue stream from fans of both non-linear TV and The Expanse – not to mention international fans. Just because a show is only broadcast in the US doesn’t mean it doesn’t have a huge international fan base – so why not monetise those non-US viewers? Because they are viewing…

Out In The Provinces

One of the big reasons for non-US-residents to adopt streaming services is to get access to US TV shows, or get access more promptly. In the US, this mechanism may be less apparent, but anywhere outside that content market, it has always been a major annoyance that we get films and TV shows six months later, perhaps with egregious dubbing too – or maybe we don’t get them at all.

The same mechanism operates to a lesser degree elsewhere, as I have written before:

I get much of what the BBC broadcasts through my cable subscription one way or another, whether it’s through the BBC’s own channels, or on other networks like Discovery that license BBC content such as Top Gear. Sky then pays Discovery for that content - so far so good. The problem is that I get that content months late and often with annoying dubs or subtitles that can’t be removed - despite the Sky platform’s pretty good support for multiple audio and subtitle options on broadcast content.

This means that I end up ahem obtaining content through other channels so that I can watch it within a few days of the air date instead of much later, and with the English audio and no subtitles instead of both audio tracks at once, which happens far too often. I used to do this for Top Gear all the time, and recently I did it for Jonathan Strange & Mr Norrell. I would gladly have paid for both of these, but I could not find a way to do it. While JS&MN is now in the iTunes store, it’s only in the UK and US iTunes stores. I am restricted to the Italian iTunes store, because Apple in their wisdom force you to use the store in the same country as your credit card’s billing address.

The result? Instead of paying the BBC directly, or paying the BBC via Apple, I pirated the content - because that was not only free and very easy, it was literally the only way I could get it.

The only thing that has changed since I wrote that piece is that I no longer have cable TV. Instead, I have subscriptions to both Netflix and Amazon Prime, which cover almost all of my family’s requirements – except, still, for the BBC. I probably would cough up a reasonable amount for an iPlayer subscription, as there is a lot of quality content on there, but this is not even an option to me outside the UK.

Eventually these geographic restrictions must fall – but until then, people will find a way to get content, which means content producers and distributors are leaving money on the table. The first to embrace this new reality will see the greatest returns. The last? Nobody will hear about them any more.

Photo by Sven Scheuermeier on Unsplash

Let’s Shed Some Light on This

Do you know what would be really great, when I fly in from a time zone quite a few hours misaligned with the local one? It would be fantastic if you all did not immediately lock me in a room without any windows for several hours. I mean, that’s bad enough for people who have to work there all the time, but it’s murder for those of us whose home timezone is many hours adrift from local time.

Meeting rooms with actual daylight would be a great help to the much-abused circadian rhythms of overseas visitors. That way we can avoid coming down with a bad case of SAD.

Meanwhile, I will continue to self-medicate with my own cocktail of melatonin and gin&tonic. Cheers!

Image by Rawpixel via Unsplash.

The Road To Augmented Intelligence

A company called Babylon has been in the news, claiming that its chatbot can pass a standard medical exam with higher scores than most human candidates. Naturally, the medical profession is not overjoyed with this result:

No app or algorithm will be able to do what a GP does.

On the surface, this looks like just the latest front in the ongoing replacement of human professionals with automation. It has been pointed out that supporters of the automation of blue-collar jobs become hypocritically defensive when it looks like their own white-collar jobs may be next in the firing line, and this reaction from the RCGP seems to be par for that course.

For what it’s worth, I don’t think that is what is going on here. As I have written before, automation takes over tasks, not jobs. That earlier wave of automation of blue-collar jobs was enabled by the fact that the jobs in question had already been refined down to single tasks on an assembly line. It was this subdivision which made it practical for machinery to take over those discrete tasks.

Most white-collar jobs are not so neatly subdivided, consisting of many different tasks. Automating away one task should, all things being equal, help people focus on other parts of the job. GPs – General Practitioners – by definition have jobs that encompass many tasks, and requiring significant human empathy. While I do therefore agree with the RCGP that there is no immediate danger to GP’s jobs, that is not to say there is no impact to jobs from automation; I’d hate to be a travel agent right now, for instance.

Here is a different example, still in the medical field: a neural network is apparently able to identify early signs of tumours in X-ray images. So does that mean there is no role for doctors here either? Well, no; spotting the tumour is just one task for oncologists, and should this technology live up to its promise (as yet unproven), it would become one more tool that doctors could use, removing the bottleneck of reliance on a few overworked X-ray technicians.

Augmenting Human Capabilities

These situations, where some tasks are automated within the context of a wider-scoped job, can be defined as augmented intelligence: AI and machine-learning enabling new capabilities for people, not replacing them.

Augmented intelligence is not a get-out-of-jail-free card, though. There are still impacts from automation, and not just to the X-ray technicians whose jobs might be endangered. Azeem Azhar writes in his essential Exponential View newsletter about a different sort of impact from automation, citing that RGCP piece I linked to earlier:

Babylon’s services were more likely to appeal to the young, healthy, educated and technology-savvy, allowing Babylon to cherry pick low-cost patients, leaving the traditional GPs with more complex, older patients. This is a real concern, if only because older patients often have multiple co-morbidities and are vulnerable in many ways other than their physical health. The nature of health funding in the UK depends, in some ways, on pooling patients of different risks. In other words, that unequal access to technology ends up benefiting the young (and generally more healthy) at the cost of those who aren’t well served by the technology in its present state.

Exponential View has repeatedly flagged the risks of unequal access to technology because these technologies are, whatever you think of them, literally the interface to the resources we need to live in the societies of today and tomorrow.

My rose-tinted view of the future is that making one type of patient cheaper to care for frees up more resources to devote to caring for other patients. On the other hand, I am sure some Pharma Bro 2.0 is even now writing up a business plan for something even worse than Theranos, powered by algorithms and possibly – why not? – some blockchain for good measure.1

Ethical concerns are just some of the many reasons I don’t work in healthcare. As a general rule, IT comes with far fewer moral dilemmas. In IT, in fact, we are actively encouraged to cull the weak and the sick, and indeed to do so on a purely algorithmic basis.

It is, however, extremely important that we don’t forget which domain we are operating in. An error in a medical diagnosis, whether false-positive or false-negative, can have devastating consequences, as can any system which relies on (claims of) infallible technology, such as autonomous vehicles.

A human in the loop can help correct these imbalances, such as when a GP is able to, firstly, interpret the response of the algorithm analysing X-ray images, and secondly, break the news to a patient in a compassionate way. For this type of augmentation to work, though, the process must also be designed correctly. It is not sufficient to have a human sitting in the driver’s seat and expected to take control at any time and with only seconds’ notice. Systems and processes must be designed in such a way as to take advantage of the capabilities of both participants – humans and machines.

Maybe this is something the machines can also help us with? The image above shows a component as designed by human engineers on the left, side-by-side with versions of the same component designed by neural networks.

What might our companies’ org charts look like if they were subjected to the same process? What about our economies and governments? It would be fascinating for people to use these new technologies to find out.

Photo from EVG Photos via Pexels

  1. One assumes that any would-be emulator of Martin Shkreli has at least learned not to disrespect the Wu-Tang Clan

Unintended Consequences

One of the unintended consequences of the GDPR is that some US websites have decided that the easiest way to comply is simply to ban all European IP addresses. Now, IANAL, nor do I even play one on the Internet, but my understanding is that this does not shield them from liability, should a European citizen browse one of these sites while travelling in the US.

Regardless of the legal niceties, these restrictions get annoying when I want to browse one of these sites. Most of the time, the correct response to a site that does not want my business is to take said business elsewhere, but it does happen on occasion – and possibly by accident – that something interesting is published on one of these sites. For instance, Mike Godwin, of the eponymous Law, wrote a piece in the LA Times, clarifying how Godwin’s Law should be applied in our day and age.

The LA Times is owned by the company until recently known as Tronc, all of whose web sites block European browsers. Yeah, their policy is about as silly as their name. Normally I can ignore their entire stable of papers without missing anything, but on this instance I did actually want to read the article.

My solution involves the TunnelBear, a VPN service with a cute bear theme and, more importantly for my purposes, a useful free tier. 500 MB per month is a perfectly usable amount for the sort of usage I have, which is mostly text and the very occasional YouTube video which is inexplicably “unavailable in your country".

If you’re interested, check out the TunnelBear here. By using that link, we both get free data – pretty cool!

Why Sales People Will Always Be With Us

I was looking for something else in my drafts folder, and I found this older thing: Sales People: Do We No Longer Need Them?:

We all know that the internet, in particular, has made us – the customers - more savvy and more able to easily see when we're being “sold." Instead, many now believe traditional sales people should go the way of the dodo bird, and companies should offer something else — experience and customer service.

I think there is a kernel of truth here, but the argument goes too far with it. As in every market transition, there is a sieve effect at work. The good sales people were already operating in a way that is compatible with educated and demanding customers. This breed of sales person leads a diverse team and maintains the context, preventing discussions getting lost down rabbit holes. Bad sales people who rely on ill-informed customers and add no value will fail to make the transition – and indeed are already doing so. However, to bridge from the self-service check-out at the supermarket to the imminent extinction of car sales people – or enterprise sales teams – is too much of a stretch.

Example: my wife just bought a car, and sure, we had done our research, researched alternatives, built several configurations online, and she was pretty sure of what she wanted. She had narrowed it down to three alternatives, so we visited the three dealerships. Two of them had ignorant, pushy and unhelpful sales people - who did not get the sale. The third had a courteous, well-informed sales person who was passionate about his product, and helped us navigate the various finance options to get a deal that worked for everyone – including getting a notary to come to the dealership after hours so we could take advantage of a deal that was about to expire! That sales person earned his commission – and the sale.

Sales is definitely changing, but it's not going away. The only sales people who will lose their jobs are the ones who fail to adapt and evolve.

If this sounds familiar from similar screeds I have written about how AI and automation are not going to take away sysadmins’ jobs, you are exactly right. The fact that one task goes away is only a problem if that single task defined your entire job. Sure, it sucks if you’re a supermarket checkout person, because that automated checkout lane is definitely taking your job scanning barcodes by hand. On the other hand, the introduction of ATMs increased employment in banks for a long time (although it is now declining due to branch closures).

I would like to close from a quote that came up in conversation earlier today:

Ultimately, everyone’s job is sales – or we’re all out of a job.

Photo by Fredrick Kearney Jr on Unsplash

Privacy Policy

Short version: I don’t have one.

Long version: I don’t gather any data, I even turned off Google Analytics (and not just because it was depressing me with its minuscule numbers!), and I don’t have access to the server logs even if I wanted to look at IP addresses or whatever. This blog’s host,, have their own privacy policy here.

Regarding analytics specifically, I am somewhat curious about how many people read individual posts, but I’m not going to sell you out to Google so you can see adverts for whatever you read about here following you all over the internet for the next two weeks. Neither of us gets enough benefit for that to be worthwhile.

The Driver Behind The Curtain

Truly autonomous driving is an incredibly hard problem to solve. It would be hard enough in controlled situations, but in uncontrolled ones, where other road users may or may not be respecting the rules of the road1, it’s pretty close to being impossible to achieve a perfect solution. The best we can hope for is one that is better than the current state of affairs, with distracted human drivers taking an incredible toll on life.

That is the promise of self-driving cars: get the dangerous, unpredictable humans out of the loop. Getting there, however, is tough. It turns out that the tragic death of a woman in Arizona due to a failure of an Uber experiment in autonomous driving may have been caused by the uncanny valley of partial autonomy.

Let’s take it as given that fully-autonomous (Level 5) vehicles are safer than human-driven ones. However, nobody has built one yet. What we do have are vehicles that may on occasion require human occupants to take control, and to do so with very little warning. According to the crash reports, the Uber driver in the Arizona crash had no more than six seconds’ warning of an obstacle ahead, and perhaps as little as 1.3 seconds.

Contrary to some early reports, the driver was not looking at a smartphone (although more time for our phones is one of the benefits to be expected from actual self-driving cars), but at "a touchscreen that was used to monitor the self-driving car software":

"The operator is responsible for monitoring diagnostic messages that appear on an interface in the center stack of the vehicle dash and tagging events of interest for subsequent review," the [NTSB] report said.

The Uncanny Valley

I wrote about this uncanny valley problem of autonomous vehicles before:

as long as human drivers are required as backup to self-driving tech that works most of the time, we are actually worse off than if we did not have this tech at all.

In the first known fatal accident involving self-driving tech, the driver may have ignored up to seven warnings to put his hands back on the wheel. That was an extreme case, with rumours that the driver may even have been watching a film on a laptop, but in the Arizona case, the driver may have had only between four and one seconds of warning. If you’re texting or even carrying on a conversation with other occupants of the car, four seconds to context-switch back to driving and re-acquire situational awareness is not a lot. One second? Forget it.

Uber may have made that already dangerous situation worse by limiting the software’s ability to take action autonomously when it detected an emergency condition:

the automated braking that might have prevented the death of pedestrian Elaine Herzberg had been switched off "to reduce the potential for erratic vehicle behavior." Such functions were delegated to the driver, who was simultaneously responsible for preventing accidents and monitoring the system’s performance.

In other words, to prevent the vehicle suddenly jamming on the brakes in unclear situations like the one in Arizona, where "the self-driving system software classified the pedestrian as an unknown object, as a vehicle, and then as a bicycle with varying expectations of future travel path", Uber simply opted to delegate all braking to the "safety driver" – while also requiring her to "monitor the system’s performance". This situation – distracting the driver who is also expected to take immediate (and correct) action in an emergency – could hardly have been better designed to produce the outcome we saw in Arizona.

This is exactly what I predicted in my previous post on Uber:

Along the way to full Level 5 autonomy, we must pass through an “uncanny valley" of partial autonomy, which is actually more dangerous than no autonomy at all.
Adding the desperate urgency of a company whose very survival depends on the success of this research seems like a very bad idea on the surface of it. It is all too easy to imagine Uber (or any other company, but right now it’s Uber), with only a quarter or two worth of cash in the bank, deciding to rush out self-driving tech that is 1.0 at best.
It’s said that you shouldn’t buy any 1.0 product unless you are willing to tolerate significant imperfections. Would you ride in a car operated by software with significant imperfections?
Would you cross the street in front of one?

What Next?

Uber has now ceased tests of self-driving cars in Arizona, but it is continuing the work in Pittsburgh, having already been kicked out of San Francisco after one of its self-driving cars ran a red light right in front of SFMOMA.

Despite these setbacks, it is however continuing work on its other projects, such as flying taxis.

Thats seems perfectly safe, and hardly at all likely to go horribly wrong in its own turn.

Drone crash during ski race

GIF is of a drone almost crashing into a skier during a race in Madonna di Campiglio.

  1. Such as they are, yes, I am familiar with The Invention Of Jaywalking