Capitalogix

Artificial Intelligence Meets "Woo-Woo"

As someone who has been in tech and Artificial Intelligence for over 30 years, my personality and thought processes are centered around facts and reason. 

With that said, I've always had a soft spot for "arts" over sciences. I appreciate meditation and mindfulness practices.  Unquestionably, I've found that technology helps me do that quicker, better, and with more certainty about the results.

I am fascinated by both Neuro-Linguistic Programming and Natural Language Processing. 

That's what made this conversation with Joshua Pellicer so great. 

Joshua has lots of experience using AI tools and techniques and getting the most from generative AI.

When I asked him what use cases he was most excited and optimistic about, he answered "Manifestation". 

That is not what I expected ... but it made sense after discussing it. Check it out. 

 

Manifestation doesn't cause the universe to hand your dreams to you on a golden platter. It does help you maintain a positive mindset and focus on what you want (instead of avoiding what you don't want). 

ChatGPT (and other similar tools, like Microsoft's Co-Pilot, Google's Bard, Anthropic's Claude, Perplexity, and Quora's Poe can help create a guide and an image to help you better ideate and actualize your dreams. 

AI is only as good as what you use it for ... I think this is an example of a clever and powerful use of generative AI. 

What do you think?

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?

 

How Long Do You Have Left?

We only have a limited time on this earth - and a lot of it is taken by frivolous activities. 

How much time do you think the average millennial spends on their phones ... or a baby-boomer sits in front of the TV?

The answer is a lot.

via dailyinfographic

Nine years in front of entertainment devices - another 10.5 years spent working.  You get the idea.

If you have goals you want to accomplish, aspirational travel, and lifestyle plans - this really puts the idea of finding and living your passion in perspective. 

Do you have the time to waste it?

VisualCapitalist put together a chart projecting longevity based on 2020 mortality rates.

 

via visualcapitalist
 

I turned 60 this July, so I only have 20 years left, according to this calculator.   I expect more!

There are some interesting statistical facts in this; for example, an average American baby boy can expect to live until 74 ... but if that boy turns 21, his life expectancy jumps to over 75. 

While these numbers seem pretty high, there are two things to consider. First, COVID heavily reduced these numbers because mortality rates went up. That likely won't continue (though it will likely continue to affect your insurance premiums and pension benefits). 

Also, remember that these numbers are based on 2020 averages, which likely differ from you (specifically considering your race, income, location, etc.). These numbers also don't take into account expected medical and technology advances, etc. 

Finally, I think Purpose is one of the most important catalysts of longevity. People often die when they retire ... not because they're done working, but because they're done striving. 

If you're not growing, you're dying!

The Beatles New Song ... And Where AI Art Fails

Have you listened to the new Beatles song?  It took almost 50 years and new technology to create.

How did this happen?  An AI system, made by Peter Jackson, uncoupled the vocals from the piano on a poor-quality tape demo from the 70s.  The result – a song that would have never seen the light of day was able to bring John Lennon back from the dead to release new music for a new generation. 

You can listen to it here.

 

via The Beatles

Was it a touching tribute and closure to an extraordinary legacy?  Does it qualify as AI "art"? 

We are seeing a surge in creativity due to the rise of generative AI. 

People are doing amazing things with AI ...  and it's making entrepreneurship accessible to a new group of people.

AI is exciting, but it is also scary.  I would argue that it is a net positive.  However, there are also clear drawbacks (and potential risks).  For example, there are the obvious ones like deepfakes, art being stolen and fed into models without consent, etc.  But, there's one that many aren't talking about...

It's a lack of nuance or understanding of art. 

Here is an example of using generative AI to improve a famous art piece.

 

@Soncharm

In my opinion, the creator completely missed the point when they tried to improve Nighthawks by Edward Hopper. 

The truth is that I don't know their intent or thought process.

However, Nighthawks is famous for a reason.  It shows a patron, presumably at a late-night diner, with a desolate urban streetscape outside.  To the right audience, it embodies the isolation of a 24-hour modern society and big cities, and the hidden changes of the 20th century.  It is a poignant composition and one of the most famous American art pieces. 

Lost in the power of Generative AI, this X (Twitter) user transformed the piece by running it through an art processor multiple times. 

First, he had AI parse the image and write a description of it.  Then, he had it regenerate the image from the description.  The setting became light.  He thought he could make it better, so he moved people outside.  He parses a description again and creates a new image again.  He did this several times. 

The result is what you see — a beautifully created composition lacking any depth. 

The AI did its job; the human did not. 

A better prompt or a more artful process would have had a better result. 

But is it art?

Once created, art is in the eye or mind of the perceiver.  So, should we care who or what creates it?

Here are some other questions worth pondering.  Is AI at its best when it's amplifying human intelligence - rather than replacing it?  Or ... is the goal simply to amplify intelligence?

The Universe often gives you increasingly painful chances to learn a lesson. 

What do you think we're supposed to take from this?

It's That Time Of Year ...

It is that time of year again. We are in the midst of our annual planning for 2024.

If you haven't started planning for your business (or yourself), now is a great time to start.

The best place to start is to analyze where you are and where you've come from. I like to begin annual planning by reviewing the past year and looking back at where we were three years ago (in order to note direction, progress, and new capabilities). 

Then it is time to look forward.

The process is relatively straightforward. We start by deciding what the company's three highest priority goals are. With those goals as the base, each department (and manager) creates a big three representing what they can do to reach the company's big three. From there, we dive into quarterly rocks, SMARTs (goals that are specific, measurable, actionable, relevant, and timed), as well as the explicit tactical steps it will take to accomplish what we set out to achieve. We use the Entrepreneurial Operating System (EOS) to plan and execute our meetings. 

The meetings are going well. There is a lot of back-and-forth idea sharing, negotiating, and priority setting.

We've gotten a lot better at dialogue - but for many years, what we thought was a dialogue was often multiple monologues. 

The disconnect (or misconnect) was because the participants had fundamental beliefs, at a higher level than we were discussing, that were at odds with each other. 

I shot two videos that I think help teams get to alignment.

Thinking About Your Thinking

The first video discusses several techniques to enhance your decision-making. 

One of the ideas is something called "Think, Feel, Know." It explains that you have to deal with superficial thoughts before getting to deeper feelings. Then, you must deal with those feelings before you get to "knowing." 

Another technique discussed in the video involves adding time to look for "insights" after working on something. Those insights are often the seeds for something greater.

Chunking Higher

The second video is about how to chunk high enough to start from a place of agreement. Exploring distinctions from there is relatively easy.

I'll add one more concept for good measure ... Start with the end in mind. Alignment happens in stages. To get aligned on what to do next, you first have to get agreement and alignment about where you are and where you want to go.

With that said, another important component of meaningful communication is a shared understanding of a common language. Words can mean different things to different people. Simply agreeing on a "word" is different than agreeing on a common meaning.

To summarize these concepts:

1. Make sure you have a common language
2. Begin with the end in mind
3. Start with the highest level of agreement
4. Make distinctions from there

Hope that helps. 

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. 

Skill Versus Luck: A Sustainable Competitive Advantage

In 2016, I wrote a variation of this article focused on trading ... but it's even more relevant today as I spend more time talking with entrepreneurs and AI enthusiasts. 

There are many lucky people in the business world.  Perhaps they made a good decision at the right time – and are now on top of the world.  There's nothing wrong with luck.  But, the goal is to make sure your success isn't predicated on it.  Why?  Because you might get lucky once, but it's unlikely you'll get lucky every time. 

Luck favors the prepared ... and those who understand the difference between skill and luck. 

First, let's talk about luck.  Think about a nationwide coin-flipping contest.  Initially, each citizen is paired up with another for a contest.  The winner goes on to the next round.  Think how many rounds you would need to win to be City Champion, State Champion, Regional Champion, etc. 

At the end, someone would have won many coin-flip contests.  Assuming they didn't cheat, they were lucky ... but does the winner have an edge?  If so, what could it be? 

If you followed the contest from beginning to end, I'm sure you could imagine the finalists doing articles or interviews about how their mindfulness practice gives them an edge ... Or, the law of attraction .... Or, how the power of prayer is the difference. 

Meanwhile, sometimes, the most straightforward rationale provides the best explanation.  Somebody had to win that contest – and luck was the reason.

 

Finding The Edge

Likewise, just because a product or business makes money doesn't prove it has an edge.  For example, at OpenAI's Developers Conference last week, they announced several new models and internally created tools that cannibalize or obsolete many tools or businesses built on their platform.  Meanwhile, they also announced several new models and tools that will help create new businesses.  But, the app developers who have been made redundant are out of luck. 

I saw the same thing with the rush of .com companies in the late '90s.  The ones that made it are now the underpinning of a new era, but they climbed out of a sea of failed businesses that might have even been better businesses - they were just unlucky (e.g., Betamax vs. VHS). 

Simply relying on whether something is profitable NOW means you have both the chance that you have an edge - and also that you got lucky.
 
If it isn't just a matter of winning, how do we know if we're skillful?  In trading, we would call this alpha.  We are searching for clues to help find systems with an edge ... or at least have an edge in certain market conditions.

Unfortunately, I can't give you the one rule to follow to identify skill vs. luck, but it's much easier to find the answer if you're asking yourself the question. 

Internally, we've built validation protocols to help filter lucky systems and systems that can't repeat their results on unseen data.  

It is exciting as we solve more of the bits and pieces of this puzzle.

What we have learned is that one of the secrets to long-term success is (unsurprisingly) adaptability. 

What that looks like for us is a library of systems ready to respond to any market condition - and a focus on improving our ability to dynamically select the systems that are "in-phase".  The secret isn't predicting the future, but responding faster - and more reliably - to changing environments. 

From a business perspective, this looks like being willing to adapt to and adopt new technologies without losing track of a bigger 'why' like we talked about in last week's article. 

A Practical Example

When we first wrote on this, one of Capitalogix's advisors wrote back to see if they understood the coin-flipping analogy.

The odds of flipping a coin and getting heads 25 times in a row is roughly 1-in-33 million. So if we have 33 million flippers and 100 get 25 heads in a row, statistically that is very improbable.  We can deduce that group of 100 is a combination of some lucky flippers, but also that some have a "flipping edge."  We may not be able to say which is which, but as a group our 100 will still consistently provide an edge in future flip-offs.

Well, that is correct.  If we were developing coin-flipping agents, that would be as far as we could go.  However, we are in luck because our trading "problem" has an extra dimension, which makes it possible to filter out some of the "lucky" trading systems.

Determining Which are the Best Systems.

There are several ways to determine whether a trading system has a persistent edge.  For example, we can look at the market returns during the trading period and compare and contrast that with trading results.

This is significant because many systems have either a long or short bias.  That means even if a system does not have an edge, it would be more likely to turn a profit when its bias aligns with the market. 

You can try to correct that bias using math and statistical magic to determine whether the system has a predictive edge. 

It Is a Lot Simpler Than It Sounds.

Imagine a system that picks trades based on a roulette spin.  Instead of numbers or colors, the wheel is filled with "Go Long" and "Go Short" selections.  As long as the choices are balanced, the system is random.  But what if the roulette wheel had more opportunities for "long" selections than "short" selections?

This random system would appear to be "in-phase" whenever the market is in an uptrend.  But does it have an edge? 

One Way To Calculate Whether You Have An Edge.

Let's say that you test a particular trading system on hourly bars of the S&P 500 Index from January 2000 until today. 

1. The first thing you need is the total net profit of the system for all its trades.  
2. The second thing you need to calculate is the percentage of time spent long and short during the test period.
3. Third, you need to generate a reasonably large population of entirely random entries and exits with the same percentage of long/short time as your back-tested results (this step can be done many times to create a range of results). 
4. Fourth, use statistical inference to calculate the average profit of these random entry tests for that same test period. 
5. Finally, subtract that amount from the total back-tested net profit from the first step.

According to the law of large numbers, in the case of the "roulette" system illustrated above, correcting for bias this way, the P&L of random systems would end up close to zero … while systems with real predictive power would be left with significant residual profits after the bias correction.

While the math isn't difficult … the process is still challenging because it takes significant resources to crunch that many numbers for hundreds of thousands of Bots. 

The good thing about RAM, CPU cycles, and disk space is that they keep getting cheaper and more powerful.

Conclusion

It is relatively easy to measure the wins and losses (and luck versus skill) of trading systems.  It can be complicated, but ultimately, it's just math.  The logic of the example also applies to adopting technology, starting a business, or transforming from a product-based to a platform-based business model, etc. 

In most situations, the secret is to figure out what data is incumbent to your industry as well as what data you're creating.  Figure out how to analyze it.  Figure out how to do that consistently, autonomously, and efficiently.  Then ... test. 

It's not sexy, and it's not complicated. 

We live in a ready, fire, aim era.  The speed of innovation is staggering, and the capital and energy needed to create an app or start a business is less than ever before ... and a bias for action is powerful. 

Luck and a bias for action will take you further than most - but it still won't take you far enough. 

So, I'll leave you with the question... 

If you're reading this, you've almost certainly been lucky ... but have you been skillful?

Revenge Of The Nerds: 5 Years later

AI is Hot!

In 2018, the local news did a brief story about Capitalogix - centered around finding tech talent ... and how hard it can be. 

It has only become harder since then. In part because of the growing demand for tech talent ... and in part because success today requires a higher level of mathematical, statistical, and innovative problem-solving talent than ever before.

And that's only part of the reason that I'm proud of our team!

The robots aren't coming for our jobs.  We're creating the robots, the AI, and the automation. 

The secret to great AI is that it still has a heartbeat. 

Here's the article. You can watch the video below. 

via NBC DFW

We are always hiring.

It's not enough to invest in the right ideas or technologies. You have to invest in the right people as well. 

"Standing still is moving backward ... so you don't only need new technology, you need a new level of data scientists –  a new level of professional that can think about what's possible, rather than how to do what we want to do right now."

Even though we've got an incredible edge now. I recognize that edges decay faster than ever. The trick is to stay ahead.  

I can predict that the future is bright ... And I know that the best way to predict the future is to create it.

Onwards!

The Cost Of Thinking Linearly In Today's Age

Humans can’t do a lot of things.

Honestly, the fact that we’re at the top of the food chain is pretty miraculous. 

We’re slow, we’re weak, and we’re famously bad at understanding large numbers and exponential growth. 

Our brains are hardwired to think locally and linearly.

It’s a monumental task for us to fathom exponential growth … let alone its implications. 

Think how many companies have failed due to that inability … RadioShack didn’t foresee a future where shopping was done online.  Kodak didn’t think digital cameras would replace good ol’ film.  Blockbuster dismissed a future where people would want movies in their mailboxes because they were anchored to the belief that “part of the joy is seeing all your options!” They didn’t even make it long enough to see “Netflix and Chill” become a thing. 

 

via Diamandis

Human perception is linear.  Technological growth is exponential.

There are many examples.  Here is one Diamandis calls “The Kodak Moment.”

In 1996, Kodak was at the top of its game, with a market cap of over $28 billion and 140,000 employees.

Few people know that 20 years earlier, in 1976, Kodak had invented the digital camera.  It had the patents and the first-mover advantage.

But that first digital camera was a baby that only its inventor could love and appreciate.

That first camera took .01 megapixel photos, took 23 seconds to record the image to a tape drive, and only shot in black and white.

Not surprisingly, Kodak ignored the technology and its implications.

Fast forward to 2012, when Kodak filed for bankruptcy – disrupted by the very technology that they invented and subsequently ignored.

via Diamandis

Innovation is a reminder that you can’t be medium-obsessed.  Kodak’s goal was to preserve memories.  It wasn’t to sell film.  Blockbuster’s goal wasn’t to get people in their stores; it was to get movies in homes.  

Henry Ford famously said: “If I had asked people what they wanted, they would have said faster horses.” Steve Jobs was famous for spending all his time with customers but never asking them what they wanted.

Two of our greatest innovators realized something that many never do.  Being conscientious of your consumers doesn’t necessarily mean listening to them.  It means thinking about and anticipating their wants and future needs.

Tech and AI are creating tectonic forces throughout industry and the world.  It is time to embrace and leverage what that makes possible.  History has many prior examples of Creative Destruction (and what gets left in the dust).

Opportunity or Chaos …  You get to decide.

Onward!