The late Douglas Adams had many great ideas. One of the best was the computer Deep Thought, built to answer The question of ‘life, the universe and everything’ that took 6 million years to come up with the answer 42. It then had to design a far bigger machine to determine what the question actually was.
Finding the right question is often much harder than answering it. Much of observational comedy is based on asking the simplest questions that we just happen never to have thought of asking before.
A good industrial illustration is in network design. A long time ago I used to design computer communication protocols, actually a pretty easy job for junior engineers. While doing one design, I discovered a flaw in a switch manufacturer’s design that would allow data networks to be pushed into a gross overload situation and crashed repeatedly by a single phone call. I simply asked a question that hadn’t been asked before. My question was “can computer networks be made to resonate dangerously?” That’s the sort of question bridge designers have asked every time they’ve built a bridge since roman times, with the notable exception of the designers of London’s Millennium Bridge, who had to redesign their’s. All I did was apply a common question from one engineering discipline to another. I did that because I was trained as a systems engineer, not as a specialist. It only took a few seconds to answer in my head and a few hours to prove it via simulation, so it was a pretty simple question to answer (yes they can), but it had taken many years before anyone bothered to ask it.
More importantly, that question couldn’t have been asked much before the 20th century, because the basic knowledge or concept of a computer network wasn’t there yet. It isn’t easy to think of a question that doesn’t derive from existent culture (which includes the full extent of fiction of course). As new ideas are generated by asking and answering questions, so the culture gradually extends, and new questions become possible. But we don’t ask them all, only a few. Even with the culture and knowledge we already have at any point, it is possible to ask far more questions, and some of them will lead to very interesting answers and a few of those could change the world.
Last night I had a dream where I was after-dinner speaking to some wealthy entrepreneurs (that sort of thing is my day job). One of them challenged me that ideas were hard to come by and as proof of his point asked me why the wheel had never been reinvented (actually it is often reinvented, just like the bicycle – all decent engineers have reinvented the bicycle to some degree at some point, and if you haven’t yet, you probably will. You aren’t allowed to die until you have). Anyway, I invented the plasma caterpillar track there and then as my answer to show that ideas are ten a penny and that being an entrepreneur is about having the energy and determination to back them, not the idea itself. That’s why I stick with ideas, much less work. Dreams often violate causality, at least mine do, and one department of my brain obviously contrived that situation to air an idea from the R&D department, but in the dream it was still the question that caused the invention. Plasma caterpillar tracks are a dream-class invention. Once daylight appears, you can see that they need work, but in this case, I also can see real potential, so I might do that work, or you can beat me to it. If you do and you get rich, buy me a beer. Sorry, I’m rambling.
How do you ask the right question? How do you even know what area to ask the right question in? How do you discover what questions are possible to ask? Question space may be infinite, but we only have a map of a small area with only a few paths and features on it. Some tools are already known to work well and thousands of training staff use them every day in creativity courses.
One solution is to try to peel back and ask what it is you are really trying to solve. Maybe the question isn’t ‘what logo should we use?’ but ‘what image do we want to present?’, or is it ‘how can we appeal to those customers?’ or ‘how do we improve our sales?’ or ‘how do we get more profit?’ or ‘how can we best serve shareholders?’. Each layer generates different kinds of answers.
Another mechanism I use personally is to matrix solutions and industries, applying questions or solutions from one industry to another, or notionally combining random industries. A typical example: Take TV displays and ask why can’t makeup also change 50 times a second? If the answer isn’t obvious, look at how nature does displays, can some of those techniques be dragged into makeup? Yes, they can, and you could make smart makeup using similar micro-structures to those that butterflies and beetles use and use the self-organisation developing in materials science to arrange the particles automatically.
Dragging solutions and questions from one area to another often generates lots of ideas. Just list every industry sector you can think of (and nature), and all the techs or techniques or procedures they use and cross reference every box against every other. By the time you’ve filled in every box, it will be long overdue to start again because they’ll all have moved on.
But however effective they are, these mechanistic techniques only fill in some of the question space and some can be addressed at least partly by AI. There is still a vast area unexplored, even with existing knowledge. Following paths is fine, but you need to explore off-road too. Group-think and cultural immersion stand in the way of true creativity. You can’t avoid your mind being directed in particular directions that have been ingrained since birth, and some genetic.
That leads some people to the conclusion that you need young fresh minds rather than older ones, but it isn’t just age that determines creativity, it is susceptibility to authority too, essentially thinking how you’re told to think. Authority isn’t just parents and teachers, or government, but colleagues and friends, mainly your peer group. People often don’t see peers as authority but needing their approval is as much a force as any. I am frequently amused spotting young people on the tube that clearly think they are true individuals with no respect for authority. They stick out a mile because they wear the uniform that all the young people who are individuals and don’t respect authority wear. It’s almost compulsory. They are so locked in by the authority and cultural language of those they want to impress by being different that they all end up being the same. Many ‘creatives’ suffer the same problem, you can often spot them from a distance too, and it’s a fairly safe bet that their actual creativity is very bounded. The fact is that some people are mentally old before they leave school and some die of old age yet still young in mind and heart.
How do you solve that? Well, apart from being young, one aspect of being guided down channels via susceptibility to authority is understanding the rules. If you are too new in a field to know how it works, who everyone is, how the tools work or even most of the basic fundamental knowledge of the field, then you are in an excellent position to ask the right questions. Some of my best ideas have been when I have just started in a new area. I do work in every sector now so my mind is spread very thinly, and it’s always easy to generate new ideas when you aren’t prejudiced by in-depth knowledge. If I don’t know that something can’t work, that you tried it ages ago and it didn’t, so you put it away and forgot about it, then I might think of it, and the technology might well have moved on since then and it might work now, or in 10 years time when I know the tech will catch up. I forget stuff very quickly too and although that can be a real nuisance it also minimizes prejudices so can aid this ‘creativity via naivety’.
So you could make sure that staff get involved in other people’s projects regularly, often with those in different parts of the company. Make sure they go on occasional workshops with others to ensure cross-fertilization. Make sure you have coffee areas and coffee times that make people mix and chat. The coffee break isn’t time wasted. It won’t generate new products or ideas every day but it will sometimes.
Cultivating a questioning culture is good too. Just asking obvious questions as often as you can is good. Why is that there? How does it work? What if we changed it? What if the factory burned down tomorrow, how would we rebuild it? Why the hell am I filling in this form?
Yet another one is to give people ‘permission’ to think outside the box. Many people have to follow procedures in their jobs for very good reasons, so they don’t always naturally challenge the status quo, and many even pursue careers that tend to be structured and ordered. There is nothing wrong with that, each to their own, but sometimes people in any area might need to generate some new ideas. A technique I use is to present some really far future and especially seemingly wacky ones to them before making them do their workshop activity. Having listened to some moron talking probable crap and getting away with it gives them permission to generate some wacky ideas too, and some invariably turn out to be good ones.
These techniques can improve everyday creativity but they still can’t generate enough truly out of the box questions to fill in the map.
I think what we need is the random question generator. There are a few random question generators out there now. Some ask mathematical questions to give kids practice before exams. Some just ask random pre-written questions from a database. They aren’t the sort we need though. We won’t be catapulted into a new era of enlightenment by being asked the answer to 73+68 or ones that were already on a list. Maybe I should have explored more pages on google, but most seemed to bark up the wrong tree. The better approach might be to copy random management jargon generators. Tech jargon ones exist too. Some are excellent fun. They are the sort we need. They combine various words from long categorized lists in grammatically plausible sequences to come out with plausible sounding terms. I am pretty sure that’s how they write MBA courses.
We can extend that approach to use a full vocabulary. If a question generator asks random questions using standard grammatical rules and a basic dictionary attack, (a first stage filtration process) most of the questions filtering through would still not make sense (e.g, why are all moons square?). But now we have AI engines that can parse sentences and filter out nonsensical ones or ones that simply contradict known facts and the web is getting a lot better at being machine-comprehensible. Careful though, some of those facts might not be any more.
After this AI filtration stage, we’d have a lot of questions that do make sense. A next stage filtration could discover which ones have already been asked and which of those have also been answered, and which of those answers have been accepted as valid. These stages will reveal some questions still awaiting proper responses, or where responses are dubious or debatable. Some will be about trivia, but some will be in areas that might seem to be commercially or socially valuable.
Some of the potentially valuable ones would be suited to machines to answer too. So they could start using spare cycles on machines to increase knowledge that way. Companies already do this internally with their big data programs for their own purposes, but it could work just as well as a global background task for humanity as a whole, with the whole of the net as one of its data sources. Machines could process data and identify potential new markets or products or identify social needs, and even suggest how they could be addressed and which companies might be able to do them. This could increase employment and GDP and solve some social issues that people weren’t even aware of.
Many would not be suited to AI and humans could search them for inspiration. Maybe we could employ people in developing countries as part of aid programs. That provides income and utilizes the lack of prejudice that comes with unfamiliarity with our own culture. Another approach is to make the growing question database online and people would make apps that deliver randomly selected questions to you to inspire you when you’re bored. There would be enough questions to make sure you are usually the first to have ever seen it. When you do, you could rate it as meaningless, don’t care, interesting, or wow that’s a really good question, maybe some other boxes. Obviously you could also produce answers and link to them too. Lower markings would decrease their reappearance probability, whereas really interesting ones would be seen by lots of people and some would be motivated to great answers.
Would it work? How could this be improved? What techniques might lead us to the right questions? Well, I just asked those ones and this blog is my first attempt at an answer. Feel free to add yours.