Capitalogix

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. 

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!