Capitalogix

Going With The Flow: Functional Mapping

There’s a concept in design and transportation called Desire Paths. 

The desired path is the path that users take despite the intended path by the builder of a community or application. 

Here’s a great example. 

Reddit via itstartswithani

And, here’s a whole community forum focused on desire paths. 

It’s often easier to take advantage of human nature ... or just nature ... than fight against it. 

To that effect, I shot a short video on how this relates to your business and tech adoption.  I call it functional mapping.  Check it out. 

 

Understanding the natural path for both technology and your clients makes it easier to understand and anticipate the capabilities, constraints, and milestones that define your path forward.   That means you actually have to understand the different types of users and what they expect to do.

Each stage is really about the opportunity to scale desired capabilities and automation.

It isn’t really about building the technology; rather, it is about supporting the desire.

You don’t have to get it right.  You just have to create momentum in the right direction.  This means that if you understand what is coming, you don’t have to build it … but you should figure out where you want to build something that will move things in the right direction.

You’ve probably heard me talk about how Capabilities become Prototypes.  Then, Prototypes become Products.  And ultimately, Products become Platforms.

This model is fractal.  That means it works on many levels of magnification or iteration.

What first looks like a product is later seen as a prototype for something bigger.

SpaceX’s goal to get to Mars feels like their North Star right now ... but once it’s achieved, it becomes the foundation for new goals.

This Framework helps you validate capabilities before sinking resources into them. 

It helps you anticipate which potential outcomes you want to accelerate.  Rather than simply figuring out the easiest next step … you have to figure out which path is the best next step to your desired outcome.

The world is changing fast!  I hope you’re riding the wave instead of getting caught in the riptide!

How To Make Real-Time Decisions

I recently came across an interesting technique that fighter pilots use to make fast and accurate decisions in high-stakes situations. 

The Air Force calls it an OODA Loop.

It is an iterative feedback model that Colonel John Boyd designed as a foundation for rational thinking in chaotic situations like dogfights.

It stands for Observe, Orient, Decide, Act. 

via Wikipedia

Why do people use decision models?  Obviously, to make better decisions.  But really, they use models to create a process that avoids many of the mistakes or constraints that prevent good decisions.

You make countless decisions every day - and at a certain point, you reach decision fatigue.  It can be harder to make decisions when you are tired, after you've made too many, or when the intensity of the environment distracts or drains you. 

It's one of the reasons I rely on artificial intelligence.  Here are some others. 

• Best practice becomes standard practice. 
• It accounts for signal and noise.
• It attempts to quantify or otherwise make objective assessments, comparisons, and choices. 
• And, it often gives you a better perspective by letting you apply and compare different models or decision techniques to achieve the desired outcome.

Nonetheless, many algorithms are dynamic and adaptive automation of processes or strategies that humans have used successfully before.

So, let's take a closer look at the OODA Loop, which stemmed from analyzing many interactions between and among fighter pilots during battle and training. 

Observe

The first step is to observe the situation to build the most accurate and comprehensive picture possible.  The goal is to take in the whole of the circumstances and environment.  It's not enough to observe and collect information ... you must process the data and create useful meaning. 

It's the same with data collection for an AI system.  Ingesting or collecting data isn't enough.  You have to be able to apply the data for it to become useful. 

Orient

The second step is less intuitive but very important.  When you orient yourself, it becomes easier to recognize strengths, weaknesses, opportunities, and threats to identify how changing the dimensionality or perspective alters the outcome. 

This step reconnects you with reality in the context of your cognitive biases, recent decisions, and more.  For example, have you received new information since starting?

I think of this as carrying a map and pulling out a compass while exploring new lands.  Sometimes, you need to remember where you started, and sometimes, you need to make sure you're going where you think you are. 

Decide

The last two steps provide the foundation for taking action. 

When there are multiple decisions in front of you, observing and orienting help you choose wisely. 

In business and with AI, you can go through these loops multiple times. 

Act 

Finally, remember that the best-made plans mean nothing if you don't act on them. 

Once you've taken action, you can reobserve, reorient, and keep moving forward. 

Conclusion

Like most good mental models, The OODA loop works in many situations and industries.

Speed is often a crucial competitive advantage.  For example, knowing (and taking decisive action) while others are still guessing (and taking tentative action) is something I call time arbitrage. 

Said another way, you make progress faster by walking in the right direction than by running in the wrong direction. 

These processes (and technology) also help us grow more comfortable with uncertainty and uncomfortableness.  Markets are only getting more volatile.  Uncertainty is increasing.  But, when you have the ability to adapt and respond, you can survive and thrive in any climate. 

Ranking The Most Popular AI Tools

Last week, I shared some of the tools I've been using recently to help run my business and life. 

As we all know, several AI tools are taking the world by storm - notably ChatGPT, but others as well. 

It only took ChatGPT 5 days to reach a million users. But the whole AI tools market is growing at a surprising rate.

VisualCapitalist put together a nice infographic on the most popular AI tools of 2023. 

via VisualCapitalist.

I am familiar with some of the apps mentioned (such as Quillbot, Character.ai, or Hugging Face), but I don't use them. On the other hand, I had no prior knowledge of others (such as NovelAI, Janitor AI, and Civitai).  

It's remarkable how much of the market ChatGPT currently controls on its own. In 2023, it is estimated that ChatGPT attracted 14.6 billion visitors, or more than 60% of all AI tool visits.

With that said, it's a marathon, not a sprint. The "feel" of this AI market reminds me of the dot-com bubble times of the late 90s and early 2000s. Many products took the world by storm only to be overthrown by a more robust competitor. For example, consider how few early web browsers or search engines still exist. I suspect that will be true of many early leaders here, too.

It isn't sexy, but it is a safe bet that Google's Bard and Microsoft's Copilot will continue to grow because of investment, acquisition, and distribution.

Remember, new technologies lead to new products and new platforms ... and the current crop of these AI tools are still only at the beginning of their cycles. I anticipate that many innovative frontstage products like ChatGPT will gain greater importance and profitability (albeit with less prominence) as they move backstage to become the backbone or plumbing infrastructure of various other products and services.

The development of new technologies brings about the emergence of new products and platforms. 

AI capabilities and adoption are growing exponentially. It will be interesting to see what else stays on the list three years from now. 

Posts like these are helpful reminders to consider technology adoption and hype cycles.

It's only the beginning ... Onwards!

Predictions for 2024

At the beginning of 2022, I shared VisualCapitalist's predictions for the year, and then at the end of the year, we checked to see how well they did. 

Since they posted a 2024 version, I figured, why not do it again? 

via VisualCapitalist.

You can find forecasts anywhere ... but since they're basically guesswork and I don't know what data they are using or excluding, I don't spend much time on them.

That said, I found this infographic easy to look at and think about. So, it's as good a place to start as any. Also, VC draws from a database of 700 expert forecasts to make this chart. 

Some are pretty easy to predict - like GenAI's shift to text-to-video. Or, an increase in lawsuits and regulations around AI. Others are questionable. In the past few months, we've seen TikTok investing heavily in the growth of its e-commerce business. Insiders have stated they believe they're trying to compete with Amazon. We'll see how that goes?

On a positive note, it seems like most are predicting positive effects on the market & economy, including a decrease in inflation and interest rates, bonds on the way back, and record highs in the S&P 500.

I'd love to hear your predictions. What do you think?

A Look At Jim Simons & Renaissance Technologies

Jim Simons is a mathematician and cryptographer who realized that the complex math he used to break codes could help explain financial patterns – and he made billions with those ideas in his notoriously secretive hedge fund firm, Renaissance Technologies. 

Though he stepped down in 2021, I still think his legacy is fascinating, not just for its impacts on the Hedge Fund industry - but on trading as a whole. 

He is famous not only for the duration of his success and the size of his results … but also for the way he made his money (with much lower volatility and risk than his peers and competitors). 

His background is impressive.  Simons taught at Harvard and MIT and worked with the NSA.  Here is a video where he shares some thoughts in a 2015 TED talk interview.  It's worth a watch. 

TED via YouTube

Despite advanced math still being a mystery to many,  we rely on it more than ever as the foundation of many exponential technologies.

The Heart of AI is Still in Humans

Simons built a team of mathematicians whose motivation was doing exciting mathematics and science (rather than hired guns who could be lured away by money or pure trading quants, biased by the industry).

This hits on something important. 

Humans are still important ... and companies that pursue exponential thinking and exponential technologies still have to champion integrity, culture, and purpose.

Better Math is a Competitive Advantage - So is More and Better Data

We stayed ahead of the pack by finding other approaches and shorter-term approaches to some extent … but the real thing was to gather a tremendous amount of data

– Jim Simons

On top of his intelligent hiring and novel approach to trading, Jim Simons recognized that an impressive data pipeline - and the technological infrastructure to digest and analyze that data was a moat to competitors. 

It is hard to have an edge if you use the same process and the same data as your competitors.

As the flywheels of commerce spin faster, edges will emerge and decay faster.  Finding a solution is only a step in an ongoing process.  

Robust, reliable, and repeatable innovation at scale is a meaningful competitive advantage.  That implies that idea factories will become as important (if not more so) than factories that produce material products.  Likewise, innovation funnels will become more important than sales funnels. 

The world changes at the speed of thought ... and as technology continues to improve ... even faster.

Onwards!

How'd Markets Do In 2023?

The Market is not the Economy.  I know it, but it feels like it to many people ... especially in an election year.

I still think about the often-quoted quip “It’s the economy, stupid” - coined by James Carville, a strategist in Bill Clinton’s successful 1992 U.S. presidential election against incumbent George H. W. Bush.

2022 was the worst year for the U.S. stock market since the 2008 financial crisis.

2023 was much better, but much of the gains came in concentrated sectors.  

To help you get a sense of 2023 returns, VisualCapitalist put together a few helpful infographics.

First, the S&P had a stellar year, with the S&P 500 up 20.4% and the tech-heavy Nasdaq up almost 40%. 

 

via Visualcapitalist

Overall, markets improved, which is unsurprising after the year we had in 2022.  With Energy seeing such a massive boom last year, it recessed a little, but real estate and technology both saw strong gains. 

Here is a more global look at return by asset class.

via Visualcapitalist

Japan saw significant growth, partly driven by China’s Real Estate issues. 

Oil, commodities, and Chinese equities all lost, but that loss in oil and commodities could be driven by China’s woes. 

In 2022, I said it was unlikely that the trends would continue into 2023, which wasn’t much of a prediction ...

On one level, I try not to think about or predict markets, because I know better.  On the other hand, it is an election year, and my opinion matters as a proxy for what people like me think or feel in an election year.  So, with that in mind, I predict that we see a brief market correction blamed on various geopolitical instabilities and partisan weaknesses, followed by a long and steady push higher as we approach the November elections.

What do you expect for 2024?

Do you think the continued investment into generative AI will impact these trends?

Entrepreneurship Over The Last 30 Years

I've been an entrepreneur ever since I can remember.  I sold tadpoles and frogs in elementary school, colored sand terrariums in middle school, stereos and sound systems in high school and college, and I started a database development company in business school. 

But it wasn't until the early 90s that I made being an entrepreneur my career.

I quickly realized I needed peer groups and advisors to help take my businesses to the next level. 

Verne Harnish was one of the first people I found.  I joined the Young Entrepreneur's Organization (but so many of us have lost our "Y" that it's now just called the Entrepreneurs' Organization.) Among many entrepreneurial endeavors, Verne founded EO, Gazelles (a global executive education and coaching company), and Birthing of Giants (now called the Entrepreneurial Masters Program at MIT).  

I was recently at a party with him in Arizona.  While there, I asked him, "What's changed about entrepreneurship over the last 30 years?".  Here is a short video with his response. 

 

I was happy to hear that the answer was "Nothing".  While the hot industries, technologies, and players have changed, many of the winning principles are timeless. 

This is a helpful reminder that, even when innovating, we should focus on what doesn't change - rather than what does. 

Verne has lots of insights.  I recommend you check out his books - Scaling Up,  Mastering The Rockefeller Habits, and The Greatest Business Decisions of All Time.

He also offers some great one-page tools that you can download here.

Good Stuff ... Hope it Helps!

Why You Need Patents ...

I shared an article titled “Who’s The Most Innovative?” a few weeks ago.  That post alluded to the power of patents.  Here, we'll discuss the importance and value of intellectual property in more detail.

Historically, profitable companies often built or sold some tangible product. Consequently, the Titans of industry were automobile manufacturers, oil producers, landowners, etc.

However, over the past 20 years, the Titans have changed dramatically. Now, the leaders are in tech, intellectual property, and other intangible assets.

As business becomes more digital, you will see an increasing shift towards creating and protecting intellectual property.

When most people hear that, they probably think about patents.  So, let's start there.

A patent is property ... meaning it is an asset.  Technically, it is a legal right granted by the government to an inventor, giving them the exclusive right to make, use, sell, and import an invention for a limited period (typically 20 years from the filing date) in exchange for public disclosure of the invention. To obtain a patent, an inventor must apply and prove that their invention is new, non-obvious, and useful. In addition, the application process involves disclosing the details of the invention so that others can learn from it.

Patents and trademarks are a great way to build a moat between you and your competitors ... but they’re more than that. They help you create partnerships and an ecosystem. Ecosystems & communities have proven to be the difference between legacy businesses and flash-in-the-pans. It’s the difference between having a product and having a platform.

Patents add dimensionality and revenue streams.

Take Tesla. They’re not just in the business of making cars or pushing the proliferation of electronic vehicles. They’re creating a suite of capabilities that are patentable and licensable. In the future, they can license the self-driving capability (because why would someone build it when they can license it?). They can license the ability to update a car’s operating system over the Internet (or by their Starlink Satellite offering). They can also grow into a clean energy business. I’m sure there are other strategic byproducts I’m missing – but you get the idea.

As they develop these tools and create intellectual property, these same inventions can also become a weighing and measuring tool to find out where people are interested, and identify where people are spending time, money, and energy.  Here is a 60-second video that explains the concept.

 

Patents make the intangible, tangible.

They provide a concrete form to innovative concepts, enabling businesses to protect and capitalize on their intellectual property.

This mindset also creates the infrastructure for change and anticipating future needs, and ensures companies remain adaptable and positioned for long-term sustained growth.

Getting Started

When I help people understand how to move forward with AI, the first thing I ask them is “What’s your why?”. I ask that because as soon as you lose sight of why you built your business in the first place, you’re lost.  

After you understand yourself and your business, you have to understand the industry-wide ecosystems, and where the low-hanging fruit are.

If you know the low-hanging fruit, your problem statement, your value proposition, and your “why” you’re in a great place to move forward.

You can use that understanding to stack some easy wins and create bandwidth for larger endeavors.

The effort-to-impact ratio is a great way to think of how you get started. As you begin thinking about staking ground, you don’t want to do the flashy and cost-intensive stuff first. You want to keep a low profile and start to create walls that will help you in the future.  

You can use trade secrets, instead of patents, when you don't want to disclose what you do and how you do it.  A trade secret is any non-public information that provides a business with a competitive edge and is subject to reasonable steps taken by the business to keep it secret. The protection of trade secrets does not require registration or disclosure to the public. The information remains protected as long as it is kept secret and continues to provide a competitive advantage.

Other common forms of intellectual property are copyrights and trademarks.

You can also use your intellectual property as part of an attraction strategy to find potential partners or collaborators – creating what Dan Sullivan calls the “Freezone Frontier”.

Final Thoughts

In essence, patents are not just legal safeguards—they are strategic instruments that can shape the future trajectory of businesses. By embracing a holistic approach that combines legal protection, market intelligence, and strategic foresight, companies can harness the full potential of patents, unlocking new dimensions of success in an ever-evolving business landscape.

Is Luck Something You Create?

I just shared an updated article on the difference between Skill and Luck. 

Serendipitously, this article showed up in my feed from 2012. Instead of updating it, I want to share it as I wrote it, because it's still relevant, and it might lose some of its magic if I update it.

So, here it is: 

________________

Title: Some Thoughts On Whether Luck Is Something You Create

Date: November 3rd, 2012

Doing the same things, the same ways, has predictable results.  Sometimes, it is important to do things differently.

Here is a photo of me at the National Society of Black Engineers' Professional Development Conference, where I had the opportunity to present and participate in several panel discussions.

That is me, the Mitchell brothers, and Steadman Graham

I'm neither black, nor an engineer, and they aren't traders; so why would they ask me to present... and why would I say yes? 

Value is often added at the edges. Likewise, good things often happen when you travel outside your comfort or habit zone.

I gained a lot from the experience. For example, I had a discussion with a nuclear physicist who talked about how they use computer simulations to model the effects of a nuclear explosion. That gave me great ideas about how to measure the effect of a particular trading system or algorithm on a market.

Luck does favor the prepared. That conversation could just as easily have been me simply saying 'hello,' shaking hands and moving on to the next person. To some extent, the ability to take advantage of opportunities comes from the intent to find them.

Is Luck Something That You Can Maximize, Or Would You Consider It Random?

It's possible that luck is both random and something you can maximize.

Here is an example.  Many people consider the stock market to be random. Nonetheless, there are groups of people who consistently beat the market and trade profitably. How is that possible?

To explain, let's examine the decision to purchase Apple Computer stock. Regardless of whether that decision was based on gut instinct, fundamental analysis, or a technical chart pattern ... whether the price moves up or down the moment after that purchase is for the most part random.

However, if you make 10,000 trades over time, then your ability to make and keep money is about how you manage risk and opportunity. At that point, your system is not necessarily random. Consequently, it is something that you can improve.

Transform Results By Getting Un-Stuck.

Improvement means getting better and different results.  And, as you already know, it doesn't make sense to continue to do the same thing, yet expect different results.  So, a key skill is learning to recognize when things are "stuck" in a rut.

The trouble with many "ruts" is that you don't know you're in one, while you're in one. Consequently, it often takes a different perspective to become aware of new possibilities, opportunities, or best next steps.

Implications.

The interesting thing that this implies is that those opportunities were always there ... they just weren't there for you in your current state of awareness.

Similarly, recognize that many of the processes that we rely on limit our "luck" or opportunities precisely because they limit our choices. When this is done consciously it can be helpful.  However, when it's an unconscious act, it can be dangerous.

In general, you can categorize many tools as either being multipliers or diminishers. Neither one is good or bad in and of itself.  The trick is to recognize that you have a choice and that not choosing is still a choice.

_______________

I think it holds up. What do you think?

 

Who's The Most Innovative?

Innovation means a lot of different things. It changes based on where we are in history, the amount of time we're considering, and the scale. 

Language was an innovation, the piece of plastic on the edge of your shoelaces was an innovation (called the Aglet), changing time signatures in music was an innovation in history, and so is artificial intelligence. 

Defining and measuring innovation is difficult even in your business ... but the Global Innovation Index attempts to do it globally. It does so by measuring several factors, like:

• Knowledge and Technology Outputs -  patents & high-tech manufacturing
• Human Capital & Research -  number of researchers & global corporate R&D investment
• Business & Market Sophistication - knowledge-intensive employment & financing/VCs for startups
• Creative Output, Institutions, and Infrastructure - trademarks, access to resources, and policy

via visualcapitalist

By this metric, Switzerland and Sweden take the top two spots - followed by the U.S. and the U.K.

Honestly, the list surprised me some. Some names I expected to be on the list - or higher on the list - didn't crack the top ten. Though Switzerland and Sweden have dominated this list for many years. 

A topic I'm very passionate about right now is patents - and how valuable they can be to your business. Here's a previous article I wrote on the subject, but I'll revisit it soon with new ideas and distinctions.