I often like to invision the brain as an input/output machine with some internal loops to self-reflect and generate its own internal inputs. Inputs to the brain come from our senses – what we see, hear, smell, touch. Those inputs will physically modify your brain as new memories are formed and core-beliefs are established. As a result of those inputs your brain will produce an output, you’ll move your body, say something, or think something.
Every detail of those outputs from big ideas to micro variations are influenced by the inputs to your brain in the first place.
Most people, including myself, don’t take conscious and critical consideration about what inputs we provide for our brains to process and build memories from. We passively consume TV, read the news and listen to podcasts or radio for the emotional and entertainment value.
What if we specifically fed ourselves the kinds of information that would align with our goals, or placed ourselves in situations to learn and practice the skills we need to get better at the things we deliberately want to pursue. This kind of intentionality would be a game changer if applied consistently for months or years.
So, I’m encouraging everyone to take care before they train their brain with random inputs from news sources, social media, video games, music, conversations, or TV shows. If training your brain on something is not going to be of benefit to you, decide to do something that is instead.
Last night I was attempting to learn a little bit of Chinese after being inspired from a series of documentaries and travel vlogs (ChopStick Travel) that I’ve been taking in over the last 3-4 weeks.
Anyway, I opened up DuoLingo and was quickly disappointed. Then I tried Memrise, which was slightly better, but it suffered from the same issues.
Most critically, these apps fail because they have no variability. Every time you hear the recording of “nĭ hăo” it is the exact same one. Every time you see the script written “你好” it uses the same font.
Deep learning is a mathematical approximation of how the neuron’s in our brains work. At least when you compare to very simple brains like those in worms, current AI tech is a reasonably good simulation. I think it’s reasonable to assume that we can gain insight into the human brain from things we learn developing AIs.
When we build these simulated neural networks how they are trained is critically important to how they perform. For instance: training a computer to understand spoken language requires an immense number of audio samples (Mozilla’s open data set is currently at 12GB of compressed audio). When training an AI to do visual character recognition it takes thousands of samples to get a good working model. Elon Musk has said they need 1 billion miles of recorded driving to get a reasonable self driving model. AIs need a LOT of data to train on.
Granted the human brain is vastly better at learning than current Deep Learning AI algorithms, but we are not so much better that we can learn new words with a single sample. Hearing a word said in one way, recorded on a sound stage will do very little to help recognition when you hear it in person outside at a loud food market, or with a different accent, even a cadence change might throw off your comprehension.
If you came to an AI expert to get a voice recognition system trained and you had spent $50,000 at a sound studio getting one perfect example of each word to use as your training data. You’d be laughed at for wasting so much money on something so useless. It is preposterous to train AI on single sample sizes, but that seems to be what we expect to happen with people.
I wish there was a language learning platform that took the approach of compiling a minimum of 100 samples of each word (at least at the beginning levels) ideally taken in-context with video so you can see the facial movements and pick up on body language. It could initially seed the library of data with clips from YouTube or movies. Over time it could ask users to contribute snapchat style short clips of them saying words/phrases in their native language to help others on the platform. A particularly memorable clip might be the one that cements the word in your memory, and hearing all the variations will help train your ear to recognise the word. It could use image recognition AI training sets avoid learning a mental translation process that slows down fluency.
Using the same kind of data we use to train a Deep Learning algorithm but use it to train humans would be super interesting. It might unlock insights in psychology, education and computer science.
As an endeavour it would be awesome to have 10 new people try the app every month and do a 1 hour session on-site with a new language. Then see how much they get through a conversation with a native speaker afterwards. Optimise the app over time for real improvement with comprehension and perhaps conversation. Language learning is an ideal case for testing the limits of how quickly humans can learn something new.
Perhaps a billion dollar idea if only I had the capacity to pursue it. (the amount of user contributed data could be a gold-mine if it worked)
Over the last week I ran into a difficult problem to solve with my B
lockagram application that I have been working on for the last few months. It required some deep thinking.
I spent three days with some sensory deprivation to really focus my thoughts and avoid even the slightest distractions. An eye mask and hearing protection while lying down on the floor of my office. Strange but effective.
After all this, I think I have had a real breakthrough for a way to create an innovative new proof of work algorithm geared towards a block chain for identity. Unlike Proof of Work used by Bitcoin this will require no wasted computer cycles and so it will be very power efficient.
Yesterday I started to work on a white paper to describe how this new block chain application will work and have started to develop out the proof of concept with code. Hopefully there are not too many roadblocks to develop it.
Amazing that this kind of thing just wouldn’t be doable in a job setting yet can be super productive. Finding solutions to really difficult problems can require a lot of thinking, and deep thinking is hard to do on a timeline.
This whole thing is a bit of a tangent from my main application. Trying to find a way to avoid having spoofed accounts, and fraudulent users led me down this rabbit hole. It’s a luxury that I can take the time to see how far the rabbit hole goes
It’s been a while since I last did any homebrew beer but for some reason I had the motivation to put on a new brew when I got back from vacation. Nothing fancy, just a simple kit.
The one new piece of equipment I got was a conical fermenter. The Fermentasaurus is a pretty neat bit of kit and makes things much easier.
With this I can avoid a full re-rack step. It’ll cut the amount of cleaning and number of steps in half compared to the way I was doing it before.
If things turn out OK, I might try to build another little project to help me avoid needing to move things at all. Ideally I’d like to get a good fermentation chamber built in the garage and perfect a lager recipe. Minimizing as much of the hassle as possible.
After understanding the basics of handling money and what is a broker and what do they mainly do, I have now been getting serious about crypto-currencies and blockchain technology at an accelerating pace for several years now. The more I think about the implications of a decentralized protocol for money and the exchange of value the more I see it as a disruptive technology that will shake the foundations of how the economy works. It is more of a shift than you can imagine.
The first thing to note about this technology is that it is un-stoppable. Now that it exists, there is simply no way to put it back in the box. There is no feasible way to block the traffic on these protocols over the internet and there is no way that governments or banks will be able to permanently prevent or lock out the ability to sell crypto-currencies back into fiat. There is no future where bitcoin won’t exist – even if in 50 years people don’t use bitcoins it will be kept alive for the nostalgia.
Secondly, while bitcoin is almost 10 years old now, it has only recently become more than a toy for dedicated hackers. Realistically it’ll take several more years of development before normal people use it. This is a long term play for the future and we’ll continue to see improvements happening going forward.
When we extrapolate out what we expect to see in terms of properties of future blockchains things get crazy. Transaction costs could eventually approach electricity costs, which should be close to zero as more efficient consensus and validation algorithms are developed. At the same time expect major improvements to the transaction throughput as various strategies are used to scale to millions of transactions per second. With low cost and high scale it becomes possible to create entirely new paradigms about how money is spent.
Imagine I am an author with a collection of books published through a publisher and available for sale in various e-commerce and retails stores. Each book has a complex set of royalty agreements that determine percentages for the editor, co-authors, artists etc that had a hand in writing the books. In the current state of the world I would probably get a quarterly cheque. but the blockchain future allows this to be a real-time stream of money flowing into my accounts. When someone buys the book, the retailer takes their percentage and pays the wholesale price into the publishers smart contract which calculates the royalties and the appropriate amounts cascade into beneficiary accounts. Thousands of retailers funnelling money into a handful of smart contracts and finally to me. End to end completely automated and happening in just a few seconds – without banks, or credit card companies being involved.
With peer to peer micro-transfers it becomes possible to get rid of bookending some types of transactions. When you fill up your car with gas you start by swiping a credit card to pre-authorize a maximum amount to spend, and after filling the actual amount is charged to the card. If instead you created a transaction for every $0.01 worth of gas then it becomes technically possible for the car to pay the pump directly. If the car had a computer that could talk to the pump and that computer had the authorization to purchase gas then the driver wouldn’t have to deal with payment directly at all. You may think “big deal”, but if the sharing economy takes over with cars, then avoiding the complexity of how to pay for the gas/electricity is an important thing to solve.
If you think beyond simply money then things can get more interesting. digital ownership can be tracked and transferred. Unique digital goods can be created which can’t be copied. Identities can be verified without even seeing an identity. There are interesting things that can be done with cryptography when building on top of these distributed systems.
This stuff is going to throw the finance sector into a bit of chaos for the next decade or more. What do you do with calculating capital gains if you are atomic swapping between a dozen different crypto tokens and currencies with thousands of micro-transactions per day? Will law enforcement lose the ability to seize the money of drug cartels, or countries that don’t pay their bond holders? Will privacy coins make the economy as opaque as a GPG encrypted hard drive? Stay tuned.
Economists are going to have to re-think some significant assumptions in a new world where trust is not required for efficient co-operation and where machines can become their own independent actors within the economy.
There are just so many things to be excited about in the future. It’ll be fascinating to see how it all evolves and try to be a part of as much of the coolest bits as I can.
One of the productivity hacks I tried this year was to keep a physical notebook with daily handwritten todo items following the Bullet Journal idea.
It became part of my morning routine to try and think of 3-4 things I wanted to get done each day. I’d refer back to my monthly goals every few days to help think of ideas or to prioritise. Now that it is nearing the end of the year I’m starting to look forward to reviewing the past 12 months worth of notes to see just how much I got done in 2017. Surprisingly I managed to stick with it for the full year.
I’m finding these kinds of rituals to be rewarding and become more valuable as the history builds behind them.
For instance, each month since 2006 I have tracked my net worth. In that time I have lived in 4 provinces, had 4 different jobs, and bought and sold a house. Each month that I add a row to that spreadsheet the value of that information and the insight it gives me compounds. It’s a routine that I do on the last day of every month, and will continue to do because I think the economic story it will tell when I’m 80 years old will be fascinating.
The same holds for my daily notes. Looking back even a month reveals things that I thought were important 30 days earlier but, subsequently abandoned. The memories and insights that might come from a decade worth of journals is hard to imagine.
More than anything else, the personal value I get from keeping a history is that our brains are fallible, they remember only the things they want to remember, and twist memories away from the truth over time. Recalling a memory and then cross-referencing with your own written thoughts at the time can be an interesting exercise to do.
Over the last couple of weeks I have been spending more time understanding blockchains and researching various alt-coins. I purchased a hardware wallet and transferred my existing investments into it.
In an effort to really grasp the concepts I implemented a simple block chain application. It is at it’s core a very simple idea. A blob of data with a hash calculated on it and then put that hash into the next block creating a chain which prevents tampering.
Adding to that simple idea is some distributed systems logic to do discovery and consensus. Bam, that’s the start of a verifiable block chain application.
Now that this idea is out there and is relatively easy to understand there are plenty of people trying to apply it to solve different problems. Applying blockchains to every industry is an interesting thought experiment and will surely find some winning applications.
Alternative blockchains have been exploding onto the scene. Most have some sort of wallet application which you can securely hold a balance of coins/tokens. Exchanges have popped up to help trade different currency pairs. Businesses have started to accept them as a form of payment.
There is a lesson I learned after missing out on investments in the Google IPO, Netflix and Amazon. When looking at these stocks I evaluated them on traditional metrics of revenue, and Earnings Per Share. In retrospect it was the wrong thing to look at for these high growth stocks. The better question to attempt to evaluate is “will this company be more relevant in 5-10 years?”
Blockchains are something that I think has shown some resiliance since bitcoin first was released nearly a decade ago. They are starting to be taken seriously by governments, investors and businesses. It seems to me that they are here to stay and that they will become more relevant in the coming years as they become easier to use, regulated and useful. It’s an investment that I hope to get into before it goes mainstream.
It took nearly 4 months from the time we made a down payment at the Kia dealership until taking possession of our new Kia Niro. It didn’t seem like it was that exotic of a car that it takes 1/3rd of a year to deliver one. But now we have what is probably the only red touring edition Niro in the city.
We put a couple hundred kilometres on it over the weekend. It’s fun to play with all the new gadgets.
One thing that I’ve been particularly intrigued by is all the driving assist features. Adaptive cruise control, lane departure warnings, and automatic emergency braking make highway driving semi-automated. The car doesn’t steer for me, but if I do a bad job it will beep at me. As a result, it’s interesting to see the remaining ‘human’ tasks for driving as nearly trivial.
We picked this car specifically for doing road trips. I think it’ll be perfect for the job. the 40L gas tank looks like it will get us 900km. That’s 2x what we could get in the Civic. So now we just need to plan some more weekend trips to Montreal, Toronto, and Quebec City. I also want to drive through some more of the US east coast next year and see Boston, New York, Washington DC, and perhaps drive all the way to Florida.
My current side project is a bit bigger in scope than I had imagined when I set out my goals at the beginning of the year. With any large project it can be difficult to stay focused and passionate about continuing to work on it.
For this project, the more I think about it, the more excited I get about the possibilities.
One of the keys has been to set aside time to think about it more deeply. I have been going for regular walks alone for 30 minutes to an hour at a time to wander and wonder. This is something I mentioned a few posts ago, but it’s worth re-iterating just how effective it has been to help me resolve things and further develop ideas and attachment to the vision. Without these walks this project would have died weeks ago, instead it is getting closer and closer to being ready to launch.
For the right project you want to keep working on it late into the night, and that’s what I have been doing these last few weeks.
Often times in life we find ourselves in a reactionary mode. Emails come in and we deal with those, kids fall or whine and we deal with that situation, something is on TV and we focus on that. In business we know that reactionary mode is not very productive – instead of fighting fires at every turn you should be building on new ideas, expanding visions and problem solving how to make them a reality.
You need to carve out space to do that and walking alone for 30 minutes allows you to be in control over your own agenda, your own thoughts for just enough time to bubble up new connections.
After reading Elon Musk: Tesla, SpaceX and the Quest for a Fantastic Future I was pretty charged up and inspired to start working on something more long term and meaningful. Since the book was published Elon has also gone on to create several more businesses that weren’t mentioned – OpenAI, The Boring Company, and NeuraLink. Elon’s ambition to tackle really hard problems that have long term massive impact potential is admirable and inspiring.
The problem with reading books like that for me is that it always gets me thinking. What kind of things could I build? What ideas are worth the risk? Could I take the same leap of faith to pursue a goal that Elon has on several occasions?
Several times over the last few years I have found myself thinking that the world needs a few more people like Elon Musk to solve audacious problems.
Now I have a little bit of insight into how to create another Elon, the traits and stepping stones that could be modelled.
Along those lines, I have been doing a lot of brainstorming over the last couple weeks. I will be trying to prototype some of the ideas and further develop them over the next couple of months as part of my goal to have 12 software projects implemented this year.
The idea to work on for April is to find a way to fund open source. It has been tried, but no one has found the right formula yet.
After reading