Bonsai and Education: Human and AI.

Bonsai is a fascinating art form of living sculptures of carefully pruned, shaped and dwarfed trees. It is a hobby of mine and I’m not all that great at it. It requires time, patience, commitment, and not getting lost in your head and forgetting to water or deal with them on a daily basis.

A good bonsai captures the eye and evokes emotion. Each bonsai is it’s own little functional growing sculpture. Prune a branch here, trim the roots, and patience – I believe that to do this properly you have to have a picture in your mind of how the final work will look. There’s a plan.

Education systems aren’t very different. They cultivate minds, but largely to the same specifications. A little stream of bonsai trees come out of them looking remarkably similar yet all individual at some level.

How artificial intelligences learn, too, is also not very different when algorithms are designed to learn through a specific dataset.

The commonality of how we educate humans and artificial intelligences is, at least in concept, the same, but the results are not really the same. It’s peculiar that artificial intelligences are given large datasets to be trained on even as humans don’t have the same availability. In some ways, maybe we have it backwards, but time will tell.

We prune the knowledge we give to students and machine learning, or deep learning.

We provide students with knowledge based on accidents of geography. Every individual’s world is subject to geography, the geopolitics of the area, the socioeconomics of the area, culture, religion, language, etc. Some get transplanted and get exposed to differences (third culture kids), some don’t.

What languages a child can communicate dictate what information they have access to. A religion can forbid some knowledge, or even young women from having an education at all – which is an introduction into how gender can impact the available experience. A poor child is less likely to have opportunities than a child born more wealthy, and even then with how we address things, a poor child who is of one ‘race’ may not have financial help because they happen to be the wrong color.

The list goes on even before we touch the education systems themselves. It’s impressively and annoyingly complex. Then the education systems run by different governments – or not – have curriculum designed, increasingly for getting jobs rather than learning. These curriculum are focused on things that some groups think are important for the future, but to stay in business they have to make money so they attenuate things toward that end. Some books get banned in some geography, some due to content publishing/licensing are simply not available. Paywalls hold things at bay, too.

Memorization and regurgitating facts are rewarded. Understanding is hoped for, but not necessary to run the education gauntlet. Imprisoned by what the cage of what has been taught, few go further than their cages and simply rest in place when they’re done, breathing a sigh of relief and happy they made it through. They were told this was a necessary part of Life.

At the end of years of the education system, we kick students out of the nest and are expected to be something an employer wants to hire.

Artificial intelligences, on the other hand, have a different path. A group of people spend a lot of money on computer hardware and software, they find content that they want to train the artificial intelligence on. We’re not even sure what they are because that’s not made public. Neural networks crawl through the data, training predictive analytics, building natural language processing and recommender systems, and it gets released, imprisoned by the human knowledge it was fed. Garbage in, garbage out.

The concepts are the same between educating the artificial intelligences and humans. The artificial intelligences are given the best opportunities to learn as judged and afforded by those who train them, as our human education systems. The difference is that there are significantly less artificial intelligence systems, and human education has become a manufacturing process that produces plants in pots that at a certain angle might look like a bonsai.

Here’s the thing: In my life, I have not many of either I would call a bonsai.

Have you? Shouldn’t that be our goal?

2018 In Review.

I have all my marbles together, regardless of what others may say.
All marbles present and accounted for.

It’s been a pretty good year for me, in that the culmination of years – decades – of effort came to fruition. The downside was the loss of my mother, and having to miss her funeral because of foreign exchange issues.

Overall, it has been a year of personal growth and introspection. Unfettered from an old life, I entered a new one toward the middle of the year and haven’t looked back much – until I decided to write this, and in doing so have found that I’ve made great strides over the last months. That’s good.

Writing

Published in 2010, prior to the alleged mayan apocalypse, it still occupies about 60 cubic inches of bookstore space hereI’ve been writing more and publishing less – I’m saving the majority of the writing ‘for the ring’ – it has been a fight of sorts to get into that habit, and I hope to be done with a book before the end of next year if only to say that I did publish something else again, and that this time it isn’t a piece of tech writing that will be outdated by Moore’s Law and how fast the world accelerates it’s change.

Imagine seeing books written about the Mayan Apocalypse that we somehow all survived in 2012 on bookshelves in 2018. I wonder how it ends?

The technologu author nightmare... Discount books on antiquated tech.Or seeing a Windows Vista book in 2018 in the discount bin – a faint hope that someone who lacks anything resembling computer literacy will think it’s a good deal when, even at a discounted price, it’s an overpriced doorstop.

It’s particularly interesting to walk into bookstores in Trinidad and Tobago, places where dated material simply will not die, laying around as if someone might find spare parts from them useful for something more than a few paragraphs in a blog post.

Look. People still read books. Excerpt from #7thsense.The world is accelerating. People get information faster than the government bureaucracies can react. In a way it can be depressing, in another way it can be exhilarating – and what usually happens is that both ways are happening at the same time. It’s exhausting, really, new technologies come out as fast as the last one is profited from by the companies using them even before the elder technologies have had a time to mature. Ubiquitous cameras attached to what used to be ‘phones’ spam our world with so much information that we need systems in place that we can trust to assure we’re getting trustworthy news.

That hasn’t happened quite yet. In their quest for survival, elder media has dropped everything to become more fast than the bloggers, and have become just as bad at being trustworthy as some of those bloggers. People don’t want news as much as they want something that they can agree with in a world that so many seem to find disagreeable.

Fake News - Person Reading Fake News ArticleI don’t know what to think about that. I don’t know what to think about a lot of things – which, of course, doesn’t stop me from considering them. I’m just wise enough not to have as many opinions anymore, and wear the phrases, “I don’t know”, and, “I’m not sure” like raincoats on days of uncertain weather.

And these days of uncertainty mark our future – no one is exactly sure what’s going on because of the amount of noise in mankind’s communication. Where once there had to be a basis in fact to be accepted, now it’s the tyrannies of different mobs fighting it out in our social media feeds, combined with people who unfortunately write as clearly as they think and infect other low literates with bad ideas. Heaven forbid they have good ones and learn how to communicate them properly – but in the race to impress fastest, we’re attempting to get better at communicating through ochlocracy parading as democracy, a holdover from the unanswered questions related to ‘smart mobs’ where in fact the average IQ of a smart mob is not as high as Rheingold would have had people think. But hey, he took a lot of pictures with his hat and sold a lot of books without having to worry too much about things – a true factor of ochlocracy.

Hate & AngerI digress. That’s all been part of 2018, where figureheads are blamed for the sins of the masses when in fact they are only symptoms. The reality is that we have these specialized systems that are smarter than the implementations of democracy. Some of the most intolerable ideas to leap from the tongues of the most intolerant – who, of course, are intolerant of intolerance and find nothing wrong with that logic.

And while I’m writing about intolerance, for regular blogging the new editor and layout with blocks for WordPress.com is intolerable. I imagine for a photo blog it might be worthwhile.

Coding

Now that I don’t have to code for someone to pay the bills, I’m enjoying coding again except for, as I note, all the unsupported and or poorly documented libraries and tools out there. The answer, of course, is to either find different ones or rewrite my own – which robs me of the inertia.

My word, people-who-call-themselves-developers-or-engineers – you ain’t a developer or engineer if you don’t document things and keep that documentation up to date.

So, I’m fiddling around with some natural language processing, machine learning and the Anki Vector SDK Alpha. These are not particularly lucrative things to do in that large corporations with R&D budgets larger than the GDP of entire nations are doing just about everything but shaving with Ockham’s Razor.

I just really like playing with information and understanding how it interacts in this day and age, as well as how we interact with it – and how it affects us as individuals and society.

Information

I recently was called disrespectful because someone in Trinidad and Tobago was posting the raw number of murders in Trinidad and Tobago, which by itself shows an increase, but doesn’t actually related to anything such as – as I pointed out – population size. With an estimated population of 1.2-1.5 million, 500 murders in a year is 0.0416% to 0.0333%.

So, actually knowing the population size has an effect on how that percentage looks – and while people are claiming that census data is available, I have yet to meet someone in Trinidad and Tobago who has been counted in a true census. This means that all the planning data for Trinidad and Tobago is based off of extrapolated data – and when people are talking about the number of murders versus the per capita percentage of murders, it demonstrates that there’s just no real data.

There’s ways to test for fake data, too – Benford’s Law immediately comes to mind, and the fraud detection aspect of predictive analytics is well worth exploring.

None of this really affects the media and society as much as simply repeating a falsehood until it is accepted as a truth, but it’s worth exploring because falsehoods that are better tolerated have some truth in them – for example, a raw number of murders – but lack a context (such as population size).

For those of us that think, the world has become a busy place if we pay attention. What I’d like my coding to actually do is help me avoid having to do all that thinking and processing of information when I look at the world – which, of course, is subject to the interpretation of the coding, which is subject to my biases, which is subject to how I am influenced by information, which… goes around in a circle.

But it, like other things, keeps me out of trouble, as I managed to do in 2018. We’ll see how 2019 goes.