A short blog today as I get back into blog writing after a very busy Easter. And it’s something a little bit different for me – a friend and former work colleague interviewed me for his podcast series over the weekend, and it has now gone live.
Now, I’ve never really got into podcasts, and Marks’ normal focus for his series is to do with business (as you can tell from his series title, Absolute Business Mindset), but we both managed to make something of the interaction.
Different people use different podcast software, but this site https://gopod.me/1340548096 gives you a list of different options through which you can access the interview. Alternatively, search for Mark’s series by its title, Absolute Business Mindset.
In it, you can hear me talking with Mark about all kinds of stuff, largely focused around maths, artificial intelligence, Alexa and so on, ultimately touching on science fiction. The whole thing takes about an hour, and Alexa takes more of a central role in the second half. Enjoy!
My science fiction books – Far from the Spaceports and Timing, plus two more titles in preparation – are heavily built around exploring relationships between people and artificial intelligences, which I call personas. So as well as a bit of news about one of our present-day AIs – Alexa – I thought I’d talk today about how I see the trajectory leading from where we are today, to personas such as Slate.
Before that, though, some news about a couple of new Alexa skills I have published recently. The first is Martian Weather, providing a summary of recent weather from Elysium Planitia, Mars, courtesy of a public NASA data feed from the Mars Insight Lander. So you can listen to reports of about a week of temperature, wind, and air pressure reports. At the moment the temperature varies through a Martian day between about -95 and -15° Celsius, so it’s not very hospitable. Martian Weather is free to enable on your Alexa device from numerous Alexa skills stores, including UK, US, CA, AU, and IN. The second is Peak District Weather, a companion to my earlier Cumbria Weather skill but – rather obviously – focusing on mountain weather conditions in England’s Peak District rather than Lake District. Find out about weather conditions that matter to walkers, climbers and cyclists. This one is (so far) only available on the UK store, but other international markets will be added in a few days.
Current AI research tends to go in one of several directions. We have single-purpose devices which aim to do one thing really well, but have no pretensions outside that. They are basically algorithms rather than intelligences per se – they might be good or bad at their allotted task, but they aren’t going to do well at anything else. We have loads of these around these days – predictive text and autocorrect plugins, autopilots, weather forecasts, and so on. From a coding point of view, it is now comparatively easy to include some intelligence in your application, using modular components, and all you have to do is select some suitable training data to set the system up (actually, that little phrase “suitable training data” conceals a multitude of difficulties, but let’s not go into that today).
Then you get a whole bunch of robots intended to master particular physical tasks, such as car assembly or investigation of burning buildings. Some of these are pretty cute looking, some are seriously impressive in their capabilities, and some have been fashioned to look reasonably humanoid. These – especially the latter group – probably best fit people’s idea of what advanced AI ought to look like. They are also the ones closest to mankind’s long historical enthusiasm for mechanical assistants, dating back at least to Hephaestus, who had a number of automata helping him in his workshop. A contemporary equivalent is Boston Dynamics (originally a spin-off from MIT, later taken over by Google) which has designed and built a number of very impressive robots in this category, and has attracted interest from the US military, while also pursing civilian programmes.
Then there’s another area entirely, which aims to provide two things: a generalised intelligence rather than one targeted on a specific task, and one which does not come attached to any particular physical trappings. This is the arena of the current crop of digital assistants such as Alexa, Siri, Cortana and so on. It’s also the area that I am both interested in and involved in coding for, and provides a direct ancestry for my fictional personas. Slate and the others are, basically, the offspring – several generations removed – of these digital assistants, but with far more autonomy and general cleverness. Right now, digital assistants are tied to cloud-based sources of information to carry out speech recognition. They give the semblance of being self-contained, but actually are not. So as things stand you couldn’t take an Alexa device out to the asteroid belt and hope to have a decent conversation – there would be a minimum of about half an hour between each line of chat, while communication signals made their way back to Earth, were processed, and then returned to Ceres. So quite apart from things like Alexa needing a much better understanding of human emotions and the subtleties of language, we need a whole lot of technical innovations to do with memory and processing.
As ever, though, I am optimistic about these things. I’ve assumed that we will have personas or their equivalent within about 70 or 80 years from now – far enough away that I probably won’t get to chat with them, but my children might, and my grandchildren will. I don’t subscribe to the theory that says that advanced AIs will be inimical to humankind (in the way popularised by Skynet in the Terminator films, and picked up much more recently in the current Star Trek Discovery series). But that’s a whole big subject, and one to be tackled another day.
Meanwhile, you can enjoy my latest couple of Alexa skills and find out about the weather on Mars or England’s Peak District, while I finish some more skills that are in progress, and also continue to write about their future.
I was at the annual Amazon technical summit here in London last week, and today’s blog post is based on something I heard one of the presenters say. On the whole it was a day of consolidating things already developed, rather than a day of grand new breakthroughs, and I enjoyed myself hearing about enhancements to voice and natural language services, together with an offbeat session on building virtual 3d worlds.
But I want to focus on one specific idea, contrasting how we build human-computer interfaces quite differently for the eye and the ear. In short, “the eye prefers repetition, the ear prefers variety“. Look at the appearance of your typical app on computer or phone. We have largely standardised where the key elements go – menu, options, title and so on. They are so standardised that we can tell at a glance if something is “in the wrong place“. The text stays the same every time you open it. The icons stay the same, unless they have a little overlay telling you to do something with them. And so on.
Now in the middle of a technical session I just let that statement drift by, but it stuck with me afterwards, and I kept turning it over. Hence this post. At face value it seemed a bit odd – our eyes are constantly bombarded with hugely diverse information from the world around us. But then I started thinking some more. It’s not just to do with the light falling into our eyes, or the biology of how our visual receptors handle that – our image of the world is the end result of a very complex series of processing steps inside our nervous system.
A child’s picture of a face, or a person, is instantly recognisable as such, even though reduced to a few schematic shapes. A sketch artist will make a few straight lines and a curve, and we know we are looking at a house beside a beach, even though there are no colours or textures to help us. The animal kingdom shows us the same thing. Show a toad a horizontal line moving sideways, and it reacts as though it was a worm. Turn the line vertical and move it in the same way, and the toad ignores it (see this Wikipedia article or this video for details). Arrange a dark circle over a mouse and increase its size, and it reacts with fear and aggression, as though something was looming over it (see this article, in the section headed Visual threat cues).
It’s not difficult to see why – if you think you might be somebody’s prey, you react to the first sign of the predator. If you’re wrong, all you’ve lost is some time and adrenalin. If you ignore the first signs and you’re wrong, it’s game over!
So it makes sense that our visual sense, including nervous system as well as eyes, reduces the world to a few key features. We skim over fine detail at first glance, and only really notice it when we need to – when we deliberately turn our attention to it.
Also,there’s something to be learned from how light and sound work differently for us. At a very fundamental level, light adds up to give a single composite result. We mix red and yellow paint to give orange, or red and green light on a computer screen to give yellow. The colour tints, or the light waves, add up to make a single average colour. Not so with sound. Play the note middle C on a keyboard, then start playing the G above it. You end up with a chord – you don’t end up with a single note which is a blend of the two. So adding visual signals, and adding audible ones, give completely different effects.
Finally, the range of what we can perceive is entirely different. The most extreme violet light that we can see has about twice the frequency of the most extreme red. Doubling frequency gives us an octave change, so that means we can see one octave of visible light out of the entire spectrum. But a keen listener under ideal circumstances can hear a range of seven or eight octaves of sound, from about 12 Hz to nearly 30kHz. Some creatures do a bit better than us in both light and sound detection, but the basic message is the same – we heara much more varied spectrum than we see.
Now, the technical message behind that speaker’s statement related to Alexa skills. To retain a user’s interest, the skill has to notsound the same every time. The eye prefers repetition, so our phone apps look the same each time we start them. But the ear prefers variety, so our voice skills have to mirror that, and say something a little bit different each time.
A couple of days ago, a friend sent me an article talking about the present state of the art of chatbots – artificially intelligent assistants, if you like. The article focused on those few bots which are particularly convincing in terms of relationship.
Now, as regular readers will know, I quite often talk about the Alexa skills I develop. In fact I have also experimented with chatbots, using both Microsoft’s and Amazon’s frameworks. Both the coding style, and the flow of information and logic, are very similar between these two types of coding, so there’s a natural crossover. Alexa, of course, is predominantly a voice platform, whereas chatbots are more diverse. You can speak to, and listen to, bots, but they are more often encountered as part of a web page or mobile app.
Now, beyond the day job and my coding hobby, I also write fiction about artificially intelligent entities – the personas of Far from the Spaceports and related stories (Timing and the in-progress The Liminal Zone). Although I present these as occurring in the “near-future”, by which I mean vaguely some time in the next century or two, they are substantially more capable than what we have now. There’s a lot of marketing hype about AI, but also a lot of genuine excitement and undoubted advancement.
So, what are the main areas where tomorrow’s personas vastly exceed today’s chatbots?
First and foremost, a wide-ranging awareness of the context of a conversation and a relationship. Alexa skills and chatbots retain a modest amount of information during use, called session attributes, or context, depending on the platform you are using. So if the skill or bot doesn’t track through a series of questions, and remember your previous answers, that’s disappointing. The developer’s decision is not whether it is possible to remember, but rather how much to remember, and how to make appropriate use of it later on.
Equally, some things can be remembered from one session to the next. Previous interactions and choices can be carried over into the next time. Again, the questions are not how, but what should be preserved like this.
But… the volume of data you can carry over is limited – it’s fine for everyday purposes, but not when you get to wanting an intelligent and sympathetic individual to converse with. If this other entity is going to persuade, it needs to retain knowledge of a lot more than just some past decisions.
Secondly, a real conversational partner does other things with their time outside of the chat specifically between the two of you. They might tell you about places, people, or things they had seen, or ideas that had occurred to them in the meantime. But currently, almost all skills and chatbots stay entirely dormant until you invoke them. In between times they do essentially nothing. I’m not counting cases where the same skill is activated by different people – “your” instance, meaning the one that holds any record of your personal interactions, simply waits for you to get involved again. The lack of any sense of independent life is a real drawback. Sure, Alexa can give you a “fact of the day” when you say hello, but we all know that this is just fished out of an internet list somewhere, and does not represent actual independent existence and experience.
Finally (for today – there are lots of other things that might be said) today’s skills and bots have a narrow focus. They can typically assist with just one task, or a cluster of closely related tasks. Indeed, at the current state of the art this is almost essential. The algorithms that seek to understand speech can only cope with a limited and quite structured set of options. If you write some code that tries to offer too wide a spectrum of choice, the chances are that the number of misunderstandings gets unacceptably high. To give the impression of talking with a real individual, the success rate needs to be pretty high, and the entity needs to have some way of clarifying and homing in on what it was that you really wanted.
Now, I’m quite optimistic about all this. The capabilities of AI systems have grown dramatically over the last few years, especially in the areas of voice comprehension and production. My own feeling is that some of the above problems are simply software ones, which will get solved with a bit more experience and effort. But others will probably need a creative rethink. I don’t imagine that I will be talking to a persona at Slate’s level in my lifetime, but I do think that I will be having much more interesting conversations with one before too long!
Well, a couple of weeks have passed and it’s time to get back to blogging. And for this week, here is the Alexa post that I mentioned a little while ago, back in December last year.
First, to anticipate a later part of this post, is the extract of Alexa reciting the first few lines of Wordsworth’s Daffodils…
It has been a busy time for Alexa generally – Amazon have extended sales of various of the hardware gizmos to many other countries. That’s well and good for everyone: the bonus for us developers is that they have also extended the range of countries into which custom skills can be deployed. Sometimes with these expansions Amazon helpfully does a direct port to the new locale, and other times it’s up to the developer to do this by hand. So when skills appeared in India, everything I had done to that date was copied across automatically, without me having to do my own duplication of code. From Monday Jan 8th the process of generating default versions for Australia and New Zealand will begin. And Canada is also now in view. Of course, that still leaves plenty of future catch-up work, firstly making sure that their transfer process worked OK, and secondly filling in the gaps for combinations of locale and skill which didn’t get done. The full list of languages and countries to which skills can be deployed is now
English (Australia / New Zealand)
Based on progress so far, Amazon will simply continue extending this to other combinations over time. I suspect that French Canadian will be quite high on their list, and probably other European languages – for example Spanish would give a very good international reach into Latin America. Hindi would be a good choice, and Chinese too, presupposing that Amazon start to market Alexa devices there. Currently an existing Echo or Dot will work in China if hooked up to a network, but so far as I know the gadgets are not on sale there – instead several Chinese firms have begun producing their own equivalents. Of course, there’s nothing to stop someone in another country accessing the skill in one or other of the above languages – for example a Dutch person might consider using either the English (UK) or German option.
To date I have not attempted porting any skills in German or Japanese, essentially through lack of necessary language skills. But all of the various English variants are comparatively easy to adapt to, with an interesting twist that I’ll get to later.
So my latest skill out of the stable, so to speak, is Wordsworth Facts. It has two parts – a small list of facts about the life of William Wordsworth, his family, and some of his colleagues, and also some narrated portions from his poems. Both sections will increase over time as I add to them. It was interesting, and a measure of how text-to-speech technology is improving all the time, to see how few tweaks were necessary to get Alexa to read these extract tolerably well. Reading poetry is harder than reading prose, and I was expecting difficulties. The choice of Wordsworth helped here, as his poetry is very like prose (indeed, he was criticised for this at the time). As things turned out, in this case some additional punctuation was needed to get these sounding reasonably good, but that was all. Unlike some of the previous reading portions I have done, there was no need to tinker with phonetic alphabets to get words sounding right. It certainly helps not to have ancient Egyptian, Canaanite, or futuristic names in the mix!
And this brings me to one of the twists in the internationalisation of skills. The same letter can sound rather different in different versions of English when used in a word – you say tomehto and I say tomarto, and all that. And I necessarily have to dive into custom pronunciations of proper names of characters and such like – Damariel gets a bit messed up, and even Mitnash, which I had assumed would be easily interpreted, gets mangled. So part of the checking process will be to make sure that where I have used a custom phonetic version of someone’s name, it comes out right.
Wordsworth Facts is live across all of the English variants listed above – just search in your local Amazon store in the Alexa Skills section by name (or to see all my skills to date, search for “DataScenes Development“, which is the identity I use for coding purposes. If you’re looking at the UK Alexa Skills store, this is the link.
The next skill I am planning to go live with, probably in the next couple of weeks, is Polly Reads. Those who read this blog regularly – or indeed the Before The Second Sleep blog (see this link, or this, or this) – may well think of Polly as Alexa’s big sister. Polly can use multiple different voices and languages rather than a fixed one, though Polly is focused on generating spoken speech rather than interpreting what a user might be saying (the module in Amazon’s suite that does the comprehension bit is called Lex). So Polly Reads is a compendium of all the various book readings I have set up using Polly, onto which I’ll add a few of my own author readings where I haven’t yet set Polly up with the necessary text and voice combinations. The skill is kind of like a playlist, or maybe a podcast, and naturally my plan is to extend the set of readings over time. More news of that will be posted before the end of the month, all being well.
The process exposed a couple of areas where I would really like Amazon to enhance the audio capabilities of Alexa. The first was when using the built-in ability to access music (ie not my own custom skill). Compared to a lot of Alexa interaction, this feels very clunky – there is no easy way to narrow in on a particular band, for example – “The band is Dutch and they play prog rock but I can’t remember the name” could credibly come up with Kayak, but doesn’t. There’s no search facility built in to the music service. And you have to get the track name pretty much dead on – “Alexa, Play The Last Farewell by Billy Boyd” gets you nowhere except for a “I can’t find that” message, since it is called “The Last Goodbye“. A bit more contextual searching would be good. Basically, this boils down to a shortfall in what technically we call context, and what in a person would be short-term memory – the coder of a skill has to decide exactly what snippets of information to remember from the interaction so far – anything which is not explicitly remembered, will be discarded.
That was a user-moan. The second is more of a developer-moan. Playing audio tracks of more than a few seconds – like a book extract, or a decent length piece of music – involves transferring control from your own skill to Alexa, who then manages the sequencing of tracks and all that. That’s all very well, and I understand the purpose behind it, but it also means that you have lost some control over the presentation of the skill as the various tracks play. For example, on the new Echo Show (the one with the screen) you cannot interleave the tracks with relevant pictures – like a book cover, for example. Basically the two bits of capability don’t work very well together. Of course all these things are very new, but it would be great to see some better integration between the different pieces of the jigsaw. Hopefully this will be improved with time…
Today is the third and last post based loosely on upcoming techie stuff I learned about at the recent Microsoft Future Decoded conference here in London. It’s another speculative one this time, focusing on quantum computing, which according to estimates by speakers might be about five years away. But a lot has to happen if that five year figure is at all accurate.
It’s a very technical area, both as regards the underlying maths and the physical implementation, and I don’t intend going far into that. Many groups around the world, both in industry and academia, are actively working on this, hoping to crack both theory and practice. So what’s the deal? Why all the effort?
Conventional computers, of the kind we are familiar with, operate essentially in a linear sequential way. Now, there are ways to fudge this and give a semblance of parallel working. Even on a domestic machine you can run lots of programs at the same time, but at the level of a single computing core you are still performing one thing at a time, and some clever scheduling shares resources between several in-progress tasks. A bigger computer will wire up multiple processors and have vastly more elaborate scheduling, to make the most efficient use of what it’s got. But at the end of the day, present-day logic circuits do one thing at a time.
This puts some tasks out of reach. For example, the security layer that protects your online banking transactions (and such like) relies on a complex mathematical problem, which takes an extremely long time to solve. In theory it could be done, but in practice it is impenetrable. Perhaps more interestingly, there are problems in all the sciences which are intractable not only with present-day systems, but also including any credible speed advances using present-day architecture. It actually doesn’t take much complexity to render the task impossible.
Quantum computing offers a way to actually achieve parallel processing on a massive scale. It relies not on binary true/false logic, but on the probability models which are the foundation of the quantum world. It is as though many different variations of a problem all run simultaneously, each (as it were) in their own little world. It’s a perfect solution for all kinds of problems where you would like to find an optimal solution to a complex situation. So to break our online security systems, a quantum computer would simultaneously pursue many different cracking routes to break in. By doing that, the task becomes solvable. And yes, that is going to need a rethink of how we do internet security. But for today let’s look at a couple of more interesting problems.
First, there’s one from farming, or biochemistry if you prefer. To feed the world, we need lots of nitrogen to make fertiliser. The chemical process to do this commercially is energy-intensive, and nearly 2% of the world’s power goes on this one thing. But… there is a family of plants, the leguminosae, which fix nitrogen from the air into the soil using nothing more than sunlight and the organic molecules in their roots. They are very varied, from peas and beans down to fodder crops like clover, and up to quite sizeable trees. We don’t yet know exactly how this nitrogen fixing works. We think we know the key biochemical involved, but it’s complicated… too complicated for our best supercomputers to analyse. A quantum computer might solve the problem in short order.
Climate science is another case. There are several computer programs which aim to model what is going on globally. They are fearfully complicated, aiming to include as wide a range as possible of contributing factors, together with their mutual interaction. Once again, the problem is too complicated to solve in a realistic time. So, naturally, each group working on this makes what they regard as appropriate simplifications and approximations. A quantum computer would certainly allow for more factors to be integrated, and would also allow more exploration of the consequences of one action rather than another. We could experiment with what-if models, and find effective ways to deploy limited resources.
So that’s a little of what might be achieved with a quantum computer. To finish this blog post off, what impact might one have in science fiction, and my own writing in particular. Well, unlike the previous two weeks, my answer here would be “not very much, I think“. Most writers, including myself, simply assume that future computers will be more powerful, more capable, than those of today. The exact technical architecture is of less literary importance! Right now it looks as if a quantum computer will only work at extremely low temperatures, not far above absolute zero. So you are talking about sizeable, static installations. If we manage to find or make the necessary materials that they could run at room temperature, that could change, but that’s way more than five years away.
So in my stories, Slate would not be a quantum computer, just a regular one running some very sophisticated software. Now, the main information hub down in London, Khufu, could possibly be such a thing – certainly he’s a better candidate, sitting statically in one place, processing and analysing vast quantities of data, making connections between facts that aren’t at all obvious on the surface. But as regards the story, it hardly matters whether he is one or the other.
So, interested as I am in the development of a quantum computer, I don’t think it will feature in an important way in the world of Far from the Spaceports!
That’s it for today, and indeed for this little series… until next year.
The second part of this quick review of the Future Decoded conference looks at things a little further ahead. This was also going to be the final part, but as there’s a lot of cool stuff to chat about, I’ve decided to add part 3…
So here’s a problem that is a minor one at the moment, but with the potential to grow into a major one. In short, the world has a memory shortage! Already we are generating more bits and bytes that we would like to store, than we have capacity for. Right now it’s an inconvenience rather than a crisis, but year by year the gap between wish and actuality is growing. If growth in both these areas continues as at present, within a decade we will only be able to store about a third of what we want. A decade or so later that will drop to under one percent.
Think about it on the individual level. You take a short video clip while on holiday. It goes onto your phone. At some stage you back it up in Dropbox, or iCloud, or whatever your favourite provider is. Maybe you keep another copy on your local hard drive. Then you post it to Facebook and Google+. You send it to two different WhatsApp groups and email it to a friend. Maybe you’re really pleased with it and make a YouTube version. You now have ten copies of your 50Mb video… not to mention all the thumbnail images, cached and backup copies saved along the way by these various providers, which you’re almost certainly not aware of and have little control over. Your ten seconds of holiday fun has easily used 1Gb of the world’s supply of memory! For comparison, the entire Bible would fit in about 3 Mb in plain uncompressed text, and taking a wild guess, you would use well under that 1 Gb value to store every last word of the world’s sacred literature. And a lot of us are generating holiday videos these days! Then lots of cyclists wear helmet cameras these days, cars have dash cams… and so on. We are generating prodigious amounts of imagery.
So one solution is that collectively we get more fussy about cleaning things up. You find yourself deleting the phone version when you’ve transferred it to Dropbox. You decide that a lower resolution copy will do for WhatsApp. Your email provider tells you that attachments will be archived or disposed of according to some schedule. Your blog allows you to reference a YouTube video in a link, rather than uploading yet another copy. Some clever people somewhere work out a better compression algorithm. But… even all these workarounds together will still not be enough to make up for the shortfall, if the projections are right.
Holiday snaps aside, a great deal of this vast growth in memory usage is because of emerging trends in computing. Face and voice recognition, image analysis, and other AI techniques which are now becoming mainstream use a great deal of stored information to train the models ready for use. Regular blog readers will know that I am particularly keen on voice assistants like Alexa. My own Alexa programming doesn’t use much memory, as the skills are quite modest and tolerably well written. But each and every time I make an Alexa request, that call goes off somewhere into the cloud, to convert what I said (the “utterance”) into what I meant (the “intent”). Alexa is pretty good at getting it right, which means that there is a huge amount of voice training data sitting out there being used to build the interpretive models. Exactly the same is true for Siri, Cortana, Google Home, and anyone else’s equivalent. Microsoft call this training area a “data lake”. What’s more, there’s not just one of them, but several, at different global locations to reduce signal lag.
Hopefully that’s given some idea of the problem. Before looking at the idea for a solution that was presented the other day, let’s think what that means for fiction writing. My AI persona Slate happily flits off to the asteroid belt with her human investigative partner Mitnash in Far from the Spaceports. In Timing, they drop back to Mars, and in the forthcoming Authentication Key they will get out to Saturn, but for now let’s stick to the asteroids. That means they’re anywhere from 15 to 30 minutes away from Earth by signal. Now, Slate does from time to time request specific information from the main hub Khufu in Earth, but necessarily this can only be for some detail not locally available. Slate can’t send a request down to London every time Mit says something, just so she can understand it. Trying to chat with up to an hour lag between statements would be seriously frustrating. So she has to carry with her all of the necessary data and software models that she needs for voice comprehension, speech, and defence against hacking, not to mention analysis, reasoning, and the capacity to feel emotion. Presupposing she has the equivalent of a data lake, she has to carry it with her. And that is simply not feasible with today’s technology.
So the research described the other day is exploring the idea of using DNA as the storage medium, rather than a piece of specially constructed silicon. DNA is very efficient at encoding data – after all, a sperm and egg together have all the necessary information to build a person. The problems are how to translate your original data source into the various chemical building blocks along a DNA helix, and conversely how to read it out again at some future time. There’s a publicly available technical paper describing all this. We were shown a short video which had been encoded, stored, and decoded using just this method. But it is fearfully expensive right now, so don’t expect to see a DNA external drive on your computer anytime soon!
The benefits purely in terms of physical space are colossal. The largest British data centre covers the equivalent of about eight soccer grounds (or four cricket pitches), using today’s technology. The largest global one is getting on for ten times that size. With DNA encoding, that all shrinks down to about a matchbox. For storytelling purposes that’s fantastic – Slate really is off to the asteroids and beyond, along with her data lake in plenty of local storage, which now takes up less room and weight than a spare set of underwear for Mit. Current data centres also use about the same amount of power as a small town, (though because of judicious choice of technology they are much more ecologically efficient) but we’ll cross the power bridge another time.
However, I suspect that many of us might see ethical issues here. The presenter took great care to tell us that the DNA used was not from anything living, but had been manufactured from scratch for the purpose. No creatures had been harmed in the making of this video. But inevitably you wonder if all researchers would take this stance. Might a future scenario play out that some people are forced to sell – or perhaps donate – their bodies for storage? Putting what might seem a more positive spin on things, wouldn’t it seem convenient to have all your personal data stored, quite literally, on your person, and never entrusted to an external device at all? Right now we are a very long way from either of these possibilities, but it might be good to think about the moral dimensions ahead of time.
Either way, the starting problem – shortage of memory – is a real one, and collectively we need to find some kind of solution…
And for the curious, this is the video which was stored on and retrieved from DNA – regardless of storage method, it’s a fun and clever piece of filming (https://youtu.be/qybUFnY7Y8w)…
This is the first of two posts in which I talk about some of the major things I took away from the recent Future Decoded conference here in London. Each year they try to pick out some tech trends which they reckon will be important in the next few years.
This week’s theme is to do with stuff which is available now, or in the immediate future. And the first topic is assisting users. Approximately one person in six in the world is considered disabled in some way, whether from birth or through accident or illness (according to a recent WHO report). That’s about about a billion people in total. Technology ought to be able to assist, but often has failed to do so. Now a variety of assistance technologies have been around for a while – the years-old alt text in images was a step in that direction – but Windows 10 has a whole raft of such support.
Now, I am well aware that lots of people don’t like Win 10 as an operating system, but this showed it at its best. When you get to see a person blind from birth able to use social media, and a lad with cerebral palsy pursuing a career as an author, it doesn’t need a lot of sales hype. Or a programmer who lost use of all four limbs in an accident, writing lines of code live in the presentation using a mixture of Cortana’s voice control plus an on-screen keyboard triggered by eye movement. Not to mention that the face recognition login feature provided his first opportunity for privacy since the accident, as noone else had to know his password.
But the trend goes beyond disabilities of a permanent kind – most of us have what you might call situational limitations at various times. Maybe we’re temporarily bed-ridden through illness. Maybe we’re simply one-handed through carrying an infant around. Whatever the specific reason, all the big tech companies are looking for ways to make such situations more easily managed.
Another big trend was augmented reality using 3d headsets. I suppose most of us think of these as gaming gimmicks, providing another way to escape the demands of life. But going round the exhibition pitches – most by third-party developers rather than Microsoft themselves – stall after stall was showing off the use of headsets in a working context.
Training was one of the big areas, with trainers and students blending reality and virtual image in order to learn skills or be immersed in key situations. We’ve been familiar with the idea of pilots training on flight simulators for years – now that same principle is being applied to medical students and emergency response teams, all the way through to mechanical engineers and carpet-layers. Nobody doubts that a real experience has a visceral quality lacking from what you get from a headset, but it has to be an advantage that trainees have had some exposure to rare but important cases.
This also applies to on-the-job work. A more experienced worker can “drop in” to supervise or enhance the work of a junior one without both of them being physically present. Or a human worker can direct a mechanical tool in hostile environments or disaster zones. Or possible solutions can be tried out without having to make up physical prototypes. You can imagine a kind of super-Skype meeting, with mixed real and virtual attendance. Or a better way to understand a set of data than just dumping it into a spreadsheet – why not treat it as a plot of land you can wander round and explore?
Now most of these have been explored in fiction several times, with both their positive and negative connotations. And I’m sure that a few of these will turn out to be things of the moment which don’t make it into everyday use. And right now the dinky headsets which make it all happen are too expensive to find in every house, or on everyone’s desk at work – unless you have a little over £2500 lying around doing nothing. But a lot of organisations are betting that there’ll be good use for the technology, and I guess the next five years will show us whether they’re right or wrong. Will these things stay as science fiction, or become part of the science of life?
So that’s this week – developments that are near-term and don’t represent a huge change in what we have right now. Next time I’ll be looking at things further ahead, and more speculative…
This is the third and final part of Left Behind by Events, in which I take a look at my own futuristic writing and try to guess which bits I will have got utterly wrong when somebody looks back at it from a future perspective! But it’s also the first of a few blogs in which I will talk a bit about some of the impressions I got of technical near-future as seen at the annual Microsoft Future Decoded conference that I went to the other day.
So I am tolerably confident about the development of AI. We don’t yet have what I call “personas” with autonomy, emotion, and gender. I’m not counting the pseudo-gender produced by selecting a male or female voice, though actually even that simple choice persuades many people – how many people are pedantic enough to call Alexa “it” rather than “she”? But at the rate of advance of the relevant technologies, I’m confident that we will get there.
I’m equally confident, being an optimistic guy, that we’ll develop better, faster space travel, and have settlements of various sizes on asteroids and moons. The ion drive I posit is one definite possibility: the Dawn asteroid probe already uses this system, though at a hugely smaller rate of acceleration than what I’m looking for. The Hermes, which features in both the book and film The Martian, also employs this drive type. If some other technology becomes available, the stories would be unchanged – the crucial point is that intra-solar-system travel takes weeks rather than months.
I am totally convinced that financial crime will take place! One of the ways we try to tackle it on Earth is to share information faster, so that criminals cannot take advantage of lags in the system to insert falsehoods. But out in the solar system, there’s nothing we can do about time lags. Mars is between 4 and 24 minutes from Earth in terms of a radio or light signal, and there’s nothing we can do about that unless somebody invents a faster-than-light signal. And that’s not in range of my future vision. So the possibility of “information friction” will increase as we spread our occupancy wider. Anywhere that there are delays in the system, there is the possibility of fraud… as used to great effect in The Sting.
Something I have not factored in at all is biological advance. I don’t have cyborgs, or genetically enhanced people, or such things. But I suspect that the likelihood is that such developments will occur well within the time horizon of Far from the Spaceports. Biology isn’t my strong suit, so I haven’t written about this. There’s a background assumption that illness isn’t a serious problem in this future world, but I haven’t explored how that might happen, or what other kinds of medical change might go hand-in-hand with it. So this is almost certainly going to be a miss on my part.
Moving on to points of contact with the conference, there is the question of my personas’ autonomy. Right now, all of our current generation of intelligent assistants – Alexa, Siri, Cortana, Google Home and so on – rely utterly on a reliable internet connection and a whole raft of cloud-based software to function. No internet or no cloud connection = no Alexa.
This is clearly inadequate for a persona like Slate heading out to the asteroid belt! Mitnash is obviously not going to wait patiently for half an hour or so between utterances in a conversation. For this to work, the software infrastructure that imparts intelligence to a persona has to travel along with it. Now this need is already emerging – and being addressed – right now. I guess most of us are familiar with the idea of the Cloud. Your Gmail account, your Dropbox files, your iCloud pictures all exists somewhere out there… but you neither know nor care where exactly they live. All you care is that you can get to them when you want.
But with the emerging “internet of things” that is having to change. Let’s say that a wildlife programme puts a trail camera up in the mountains somewhere in order to get pictures of a snow leopard. They want to leave it there for maybe four months and then collect it again. It’s well out of wifi range. In those four months it will capture say 10,000 short videos, almost all of which will not be of snow leopards. There will be mountain goats, foxes, mice, leaves, moving splashes of sunshine, flurries of rain or snow… maybe the odd yeti. But the memory stick will only hold say 500 video clips. So what do you do? Throw away everything that arrives after it gets full? Overwrite the oldest clips when you need to make space? Arrange for a dangerous and disruptive resupply trip by your mountaineer crew?
Or… and this is the choice being pursued at the moment… put some intelligence in your camera to try to weed out non-snow-leopard pictures. Your camera is no longer a dumb picture-taking device, but has some intelligence. It also makes your life easier when you have recovered the camera and are trying to scan through the contents. Even going through my Grasmere badger-cam vids every couple of weeks involves a lot of deleting scenes of waving leaves!
So this idea is now being called the Cloud Edge. You put some processing power and cleverness out in your peripheral devices, and only move what you really need into the Cloud itself. Some of the time, your little remote widgets can make up their own minds what to do. You can, so I am told, buy a USB stick with trainable neural network on it for sifting images (or other similar tasks) for well under £100. Now, this is a far cry from an independently autonomous persona able to zip off to the asteroid belt, but it shows that the necessary technologies are already being tackled.
I’ve been deliberately vague about how far into the future Far from the Spaceports, Timing, and the sequels in preparation are set. If I had to pick a time I’d say somewhere around the one or two century mark. Although science fact notoriously catches up with science fiction faster than authors imagine, I don’t expect to see much of this happening in my lifetime (which is a pity, really, as I’d love to converse with a real Slate). I’d like to think that humanity from one part of the globe or another would have settled bases on other planets, moons, or asteroids while I’m still here to see them, and as regular readers will know, I am very excited about where AI is going. But a century to reach the level of maturity of off-Earth habitats that I propose seems, if anything, over-optimistic.
That’s it for today – over the next few weeks I’ll be talking about other fun things I learned…
I am writing in haste today as in a few minutes I am off at a technology conference – the annual Microsoft Future Decoded event, held out in the old Docklands area. Last year this was well worth going to, for both the scheduled presentations and the informal chats at booths and stalls. As usual, my main interest is in AI, and there’s a fair bit on offer. No doubt I shall relate anything of wider interest in the coming weeks.
So the main content today is to draw attention to The Review, and my particular review there of Theresa Tomlinson’s Queen of a Distant Hive. It’s set in 7th century Britain, when the land was still divided into several different kingdoms coexisting in uneasy truce. The novel is a sequel to A Swarming of Bees, and involves some overlap of characters, but it can be read separately. I thoroughly enjoyed this book (well, both books) as you can discover by reading the review. Moreover, Theresa is providing a copy as giveaway prize, and all you have to do to enter, is to leave a comment at The Review blog page or the linked Facebook page.