Capitalogix

My Artificial Intelligence Journey

Time seems to go faster as I get older. Likewise, technology seems to be advancing faster than ever, too.

Take AI as an example... even though I've been involved in this field for many years, I'm surprised by how rapidly it's improving now.

I suspect that part of the surprise comes from comparing the current pace of change to my memories of how long it took to improve in the past. Even though I had a sense of the quickening, the thing about exponential technologies is that there's a tipping point ... and clearly we're past that point on the curve.

I'm often met with surprise when I talk about my AI journey ... because it began in 1991, when it was still hard to spell AI.

Looking back, it makes a lot more sense to me than it did as I was moving through it. Here is a video about that journey and what it means for you and your future. 

 

Click here to view the transcript of the video.

Looking back on my life and career, one could argue that I got my start in AI with my most recent company, Capitalogix, which was founded over 20 years ago. Or, perhaps, we could go back further and say it started with my previous company, IntellAgent Control (which was an early AI company, focused on the creation and use of intelligent agents). By today's standards, the technology we used back then was too simple to be considered AI, but at the time, we were on the cutting edge.

Maybe we should go further back and say it started when I became the first lawyer in my firm to use a computer ... or was it when I first fell in love with technology? 

The truth is ... I've spent my whole life on this path. My fascination with making better decisions, taking smarter actions, and getting better results probably started when I was two years old (because of the incident discussed in the video).

Ultimately, the starting point is irrelevant. Looking back, it seems inevitable. The decisions I made, the people I met, and my experiences ... they all led me here.

However, at any point in the journey, if you asked, "Is this where you thought you'd end up?" I doubt that I'd have said yes. 

I've always been fascinated by what makes people successful and how to become more efficient and effective. In a sense, that's what AI does. It's a capability amplifier. 

When I transitioned from being a corporate securities lawyer to an entrepreneur, Artificial Intelligence happened to be the best vehicle I found to do that. It made sense then, and it makes sense now.

Like most things in life, it's easy to see the golden thread looking backwards, but it's a lot harder to see projecting forwards.

I wouldn't have it any other way. It certainly keeps things interesting.

Onwards!

Time seems to go faster as I get older. Likewise, technology seems to be advancing faster than ever, too.

Take AI as an example... even though I've been involved in this field for many years, I'm surprised by how rapidly it's improving now.

I suspect that part of the surprise comes from comparing the current pace of change to my memories of how long it took to improve in the past. Even though I had a sense of the quickening, the thing about exponential technologies is that there's a tipping point ... and clearly we're past that point on the curve.

I'm often met with surprise when I talk about my AI journey ... because it began in 1991, when it was still hard to spell AI.

Looking back, it makes a lot more sense to me than it did as I was moving through it. Here is a video about that journey and what it means for you and your future. 

 

Click here to view the transcript of the video.

Looking back on my life and career, one could argue that I got my start in AI with my most recent company, Capitalogix, which was founded over 20 years ago. Or, perhaps, we could go back further and say it started with my previous company, IntellAgent Control (which was an early AI company, focused on the creation and use of intelligent agents). By today's standards, the technology we used back then was too simple to be considered AI, but at the time, we were on the cutting edge.

Maybe we should go further back and say it started when I became the first lawyer in my firm to use a computer ... or was it when I first fell in love with technology? 

The truth is ... I've spent my whole life on this path. My fascination with making better decisions, taking smarter actions, and getting better results probably started when I was two years old (because of the incident discussed in the video).

Ultimately, the starting point is irrelevant. Looking back, it seems inevitable. The decisions I made, the people I met, and my experiences ... they all led me here.

However, at any point in the journey, if you asked, "Is this where you thought you'd end up?" I doubt that I'd have said yes. 

I've always been fascinated by what makes people successful and how to become more efficient and effective. In a sense, that's what AI does. It's a capability amplifier. 

When I transitioned from being a corporate securities lawyer to an entrepreneur, Artificial Intelligence happened to be the best vehicle I found to do that. It made sense then, and it makes sense now.

Like most things in life, it's easy to see the golden thread looking backwards, but it's a lot harder to see projecting forwards.

I wouldn't have it any other way. It certainly keeps things interesting.

Onwards!

My Best Investment ...

My kids are getting older. In fact, not only are they both adults, but they're both married. Father's Day looks a little different than it used to. 

 

 

As I look back, I realize that there was an investment I made that paid off in a big way, and I want to share it with you.

Like many parents, I wanted to teach my children that, to a large extent, they control what happens to them. One of the first ways I did that was to set up a "compensation system" for them to earn video games.

Some parents try to limit the amount of time their kids spend watching TV or playing video games. I tried something different. Instead, my kids earned their games by reading books. Here is a photo from way back then.

Paid With Play.

Here's how it worked. When they were younger, 10 books were enough to earn a small game. When they finished a book, it was their right, and my obligation, to take them to the bookstore for us to pick up the next book together. Likewise, when they finished the requisite number of books, it was their right, and my obligation, to take them to the computer store or game store for them to choose any game they wanted.

When they finished a hundred books, they got a bonus of earning the next game system. That meant if they had a Nintendo, they could now also get a PlayStation 3 or Xbox 360.

How Can You Encourage a Jump to the Next Level?

There came a point when I wanted one of my sons to start reading grown-up books. He was comfortable reading a certain type of book, and didn't want to read the kind of books that I read. So, I created a bonus system that counted a particular book as three books. I didn't force him; I just let the easier path to a reward "whisper" in his ear what to read. Once he finished that, he never went back to teen fiction.

It Is a Great Way to Learn About Your Kids.

I also used the bookstore visits to gauge how the boys were doing. For example, I might say, "I notice that you read five books in that series, maybe you'd like this book". Or, "That sure is a lot of science fiction; what was the last biography you read?"  For the most part, though, I didn't care what they read. The key was to get them to want to choose certain books for their own reasons. Ultimately, their preference meant they were learning to love reading.

It Puts Them In Control of Their Destiny and Rewards.

My younger son likes competition. He also broke or misplaced many things. So, to earn back the Game Boy unit he lost, I challenged him to read five books in five days. These weren't easy books either. It was designed to stretch him, and also to teach him that he could read a book a night. The bet was that he either finished all the books in the allocated time, or none of them counted towards games or Game Boys. On the other hand, if he read a book a night for two weeks, not only would he get his Game Boy back, but the books would also count towards a game. It worked like a charm, and we were both happy.

So, Who Got the Better Bargain?

As they started to get into their teenage years, I needed to up the ante a little. So, 500 books meant they got a laptop of their choice. Both boys cashed in, and probably felt like they were taking advantage of their dad.

I got what I wanted, though; both my boys love reading, and know that they can accomplish anything they put their minds to … one step at a time.

Here is a recent picture of us.   All of us love reading ... and none of us needs diapers.

 

Speaking of diapers, I've leveled up to become a grandfather. Watching my oldest become a father is the ultimate dividend.

I still remember my father joking with me to be careful of what I said about him, because I would have kids who would do the same to me.

Watching my granddaughter grow, explore, and enjoy the world is an incredible blessing. 

Plus, I know Karma is a Bitch. ... wait till she starts using everything she's learned against him.

It is part of the cycle of life ... just like diapers.

Major Asset Class Performance Since 2020

Last week, we highlighted the growth of cryptocurrencies. This week, we're taking a look at the performance of various asset classes during the previous 5 years - including Bitcoin. 

To start, let's get a sense of where things stand year-to-date.

This has been a "strange" year. As someone who follows Markets, I'm still surprised by how many times I'm tempted to say that.

In addition, I'm also surprised by how well global assets have fared year-to-date.

Here's a high-level overview.

via CapitalSpectator.

After a seemingly significant string of losses, U.S. stocks experienced a surprising rebound in May, marking their first monthly gain since January. This upturn propelled U.S. equities to the top of the performance leaderboard among major asset classes during the month. The rally was driven by broad strength across global markets, though some segments, particularly bonds in developed markets, faced declines.

Equities and bonds typically have an inverse relationship. Recently, both markets have been reacting sharply — stocks up, bonds down. This dynamic reflects uncertainty. The market is balancing hope and fear simultaneously — hope in economic recovery and corporate earnings, and fear of tighter monetary policy.

Game theory suggests that the conflicting incentives between growth-focused and risk-averse investors create a dynamic equilibrium sustaining this paradox. However, this brings up an uncomfortable question for investors:

 

What if the erosion of bonds’ safe haven triggers a systemic liquidity crisis when protection is most needed?

 

That is where a longer-term lens is particularly helpful, both for providing context and offering insights into portfolio mix and diversification strategies.

The infographic illustrates how major asset classes performed each year over five years, highlighting the impact of external shocks and policy changes. It emphasizes the importance of diversification by showing how different assets respond uniquely to economic shifts, enabling investors to identify risks and opportunities in recent market cycles.

 

via Visual Capitalist.

Bitcoin has performed better than I expected during the past five years, attracting both institutional and retail investors. Meanwhile, gold has seen renewed interest as falling interest rates and easing political uncertainty have led some investors to seek safer assets, reflecting a shift toward lower risk tolerance in segments of the market.

It's interesting to see the dichotomy between these two asset classes and their growth, despite their almost inverse profiles. 

Meanwhile, 2025 has been a rocky year for many asset classes. If you like potentially meaningful (but likely meaningless) factoids, 2025 has seen the S&P 500's fifth-worst start to a year in history. 

It will be interesting to see how the rest of this year plays out. 

Is Crypto Going Mainstream in 2025?

Humans are good at recognizing significant changes on the horizon, but not nearly as good at understanding the second and third-order consequences of those changes.

A great example is the Internet. As it spread, most adults understood that it would bring “big changes”. However, even as a tech entrepreneur at the time, I didn’t fully grasp what the rise of the Internet would cause or make possible.

I feel the same way today about the rise of AI. It literally will change everything.

Close behind that is what’s happening in Crypto.  

 

Where Attention Goes, Money Flows

I don’t claim to be a crypto expert or fan. Historically, I’ve been skeptical and resistant on many levels. Nevertheless, I've always argued the blockchain was here to stay. Now, even Crypto seems to be becoming an inevitability.

Governments are becoming supporters. Regulators are falling in line. Big banks and industry are building infrastructure. New giants are forming. Coinbase recently joined the S&P 500. Circle just had a wildly successful IPO. And the performance of stocks like these hints at the growing market appetite for crypto businesses.

Currently, Crypto’s market cap is over $3 trillion. At the beginning of Trump’s presidency, the cryptocurrency markets experienced a significant surge. Since Donald Trump’s re-election in November 2024, Bitcoin has surged 60 percent, reaching record highs. However, Bitcoin isn’t the only cryptocurrency experiencing a surge; even meme coins are seeing a massive increase in value. 

Nevada recently hosted a Bitcoin conference, featuring speakers such as Vice President JD Vance, Trump’s two eldest sons, Donald Trump Jr. and Eric Trump, as well as White House crypto advisor David Sacks. 

Despite the growth (and Trump’s support), there are still mainstream obstacles ... obstacles that may be addressed by increased investment in stablecoins. For context, countries such as the UAE and Vietnam boast higher rates of cryptocurrency ownership than the United States. 

 

Stablecoins Are Rising

A stablecoin is a type of cryptocurrency designed to maintain a stable value, typically pegged to a reference asset like a fiat currency (e.g., U.S. dollar) or a commodity (e.g., gold). This contrasts with other cryptocurrencies, such as Bitcoin, which can experience significant price fluctuations. They serve many purposes, but ultimately believe they’re an interesting way to store value on-chain and take steps into the crypto world. 

The stablecoin market in 2025 is dominated by a handful of major platforms and issuers, recognized for their scale, transparency, and integration into both traditional finance and decentralized finance (DeFi) ecosystems. The two largest and most respected stablecoin platforms are Tether and Circle.

 

    Tether (USDT)

•Market Position: Tether remains the largest stablecoin by market capitalization, with over $140 billion in circulation and controlling more than 60% of the stablecoin market.

•Key Features: USDT is widely used across centralized exchanges, DeFi protocols, and global payment networks. It is primarily backed by U.S. Treasury bills and managed by Cantor Fitzgerald, providing a reserve base comparable to that of major national treasuries.

 

    Circle (USDC)

•Market Position: USDC is the second-largest stablecoin, with a market cap exceeding $60 billion.

•Key Features: Known for its transparency, Circle publishes weekly attestations of reserves, which are held in cash and short-term U.S. government treasuries.

 

Stablecoin funding is projected to 10X.

 

CBInsights via Voronoi

When cryptocurrency started to gain popularity, I expressed concerns about how banks and governments would resist widespread adoption until they could introduce regulation and gain control over it. I remember confidently saying that, throughout history, governments have always protected the right to print and tax coin. That is still true ... it just means something different to me, now, than it did when I said it.

I’m starting to pay more attention to Crypto, blockchain, and other emerging DeFi technologies.

I’m seeing an increasing flow of talent, opportunities, and resources to this space.

For example, major payment players like Mastercard and Visa are allowing stablecoin transactions and even creating their own coins. 

I do believe growth in stablecoins will also result in growth in other forms of cryptocurrency as well. 

For context, here are the best-performing cryptocurrencies of 2024. 

 

via VisualCapitalist

I still won’t pretend to be knowledgeable about the various coins, but I recognize that they are becoming more common and useful as speculation markets. 

All in all, I believe we are witnessing the birth of another blue ocean, and we can expect increased attention and investment to continue.

Onwards! 

Trying to Understand Happiness ...

I am often amazed at how little human nature has changed throughout recorded history.

Despite the exponential progress we’ve made in health, wealth, society, tools, and understanding ... we still struggle to find meaning, purpose, and happiness in our lives and our existence.

Last month, I shared an article on Global Happiness Levels in 2025. Here are a few bullets that summarize the findings: 

• We underestimate others’ kindness, but it’s more common than we think.
• Community boosts happiness—eating and living with others matter.
• Despair is falling globally, except in isolated, low-trust places like the U.S.
• Hope remains—trust and happiness can rebound with connection and a sense of purpose.

Upon reflection, that post didn’t attempt to define happiness. This post will focus on how to do that.

While it seems like a simple concept, happiness is complex. We know many things that contribute to and detract from it; we know humans strive for it, but it is still surprisingly challenging to put a uniform definition on it. 

A few years ago, a hobbyist philosopher analyzed 93 philosophy books, spanning from 570 BC to 1588, in an attempt to find a universal definition of Happiness. Here are those findings.

 

via Reddit.

It starts with a simple list of definitions from various philosophers. It does a meta-analysis to create some meaningful categories of definition. Then it presents the admittingly subjective conclusion that:

 

Happiness is to accept and find harmony with reason. 

 

My son, Zach, pointed out that while “happiness” is a conscious choice, paradoxically, the “pursuit of happiness” often results in unhappiness. Why? Because happiness is a result of acceptance. However, when happiness is the goal, you often focus on what you’re lacking instead of what you already have. You start to live in the ‘Gap’ instead of the ‘Gain’. 

So, it got me thinking – and that got me to play around with search and AI, a little, to broaden my data sources and perspectives. If you would like to view the raw data, here are the notes I compiled (along with the AI-generated version of what this article could have been, had it been left to AI, rather than me and Zach).

Across centuries, philosophers have wrestled with a deceptively simple question: What does it mean to live a good life?

 

As entrepreneurs, investors, and leaders, we often chase performance, innovation, or edge — but underneath it all, there’s a quieter inquiry: Am I living well?

 

Happiness aside, across 93 influential philosophical texts spanning two millennia, one word consistently reappears: Eudaimonia. This is not happiness in the modern sense of pleasure, but a richer concept of human flourishing — a life filled with purpose, virtue, and meaning.

 

• Ancient thinkers saw happiness not as a mood, but as a life aligned with purpose and virtue.
• Some prioritized inner character; others emphasized harmony with the divine or nature.
• Debate endures over the role of external goods — wealth, luck, friends.
• During the Renaissance, the conversation shifted toward subjective experience.
• Across eras, the thread remains: Happiness is cultivated, not consumed.

 

Contradictions and Tensions

Thoughts on happiness contain paradoxes, contradictions, and tensions. Examining the boundaries between what you are certain of and what you are uncertain of is where insights occur. Here are a few to get you started.

 

• Virtue vs. External Goods: Aristotle acknowledges external goods (wealth, friends) as necessary for complete happiness, while Stoics claim virtue alone suffices. This tension challenges the simplicity of virtue-based happiness, suggesting a nuanced balance between inner character and outer circumstances.
• Subjective vs. Objective Happiness: Ancient philosophers often defined happiness as an objective state (living virtuously or intellectually flourishing), whereas modern definitions more often emphasize the subjective satisfaction varying by individual. This tension probes whether happiness is a universal or personal experience.
• Happiness as Pleasure vs. Happiness as Duty/Struggle: Epicureanism equates happiness with pleasure (absence of pain), but Cynics and Stoics emphasize enduring hardship and discipline as the path to happiness, which presents a paradox between comfort and resilience.

 

Three Metaphors To Help You Think About Happiness

Metaphors help make abstract ideas more concrete, memorable, and easier to grasp. Here are three to consider.

 

The Ship Captain (Stoicism)

• Metaphor: You can’t control the ocean (external events), but you can steer your ship (your mind). 
• Clarification: Highlights control over internal states despite external chaos.

The Team Soul (Plato’s Tripartite Soul)

• Metaphor: The soul is a team where reason is the coach, spirit is the player, and appetite is the goalie. Happiness is achieved when the coach directs the players well. 
• Clarification: Demonstrates the importance of internal harmony and self-governance.

The Garden (Aristotle’s Life Cultivation)

• Metaphor: Happiness is like tending a garden over time — it requires continuous effort, nurturing virtues (soil quality), and sometimes external help (sunlight, rain). 
• Clarification: This shows happiness as a process, not a momentary state.

Reach out – I’m curious to hear what you think!

Make Way For 2025's Biggest Unicorns

Billion-dollar startups are becoming increasingly common with VC funding surging, and an increased focus on exponential technologies. 

VisualCapitalist put together an infographic based on May's PitchBook that highlights the newest Unicorns.

If you are curious, PitchBook defines Unicorns as venture-backed companies valued at $1 billion or more after a funding round, until they go public, get acquired, or drop below that valuation.

Here is the list for 2025.

 

Pitchbook via visualcapitalist

Topping the list (and eclipsing every other company on the list) is Yangtze Memory out of China. They're focused on flash memory and solid-state drives. Yup, that's still a thing.

Also high on the list is Abridge, an American AI startup focused on turning doctors' conversations with patients into documentation. If you've ever talked with a clinician of any sort, you know how time-consuming documentation currently is. The combination of AI and longevity—or age reversal—is likely to become an increasingly hot area for investment.

Meanwhile, a rising tide floats many boats ... and with the continuing rise of funding in AI, you'll also find a growing list of AI unicorns, like Peregrine, Synthesia, AnySphere, Mercor, and The Bot Company. 

Although these individual companies are interesting, the larger trend is probably more significant. 

There have been 43 new unicorns in 2025 alone. And while the most profitable unicorns from 2024 are still OpenAI, ByteDance, and SpaceX, their competition is on the rise.

I've been a tech entrepreneur for decades, so I'm used to the constant march of progress. But this feels different. The pace is quickening!

We certainly live in interesting times!

Relics Of A Bygone Era ...

The U.S. Treasury is ceasing production of pennies - as they cost more to make than they’re worth.

According to a 2024 report from the U.S. Mint, we lose $85M a year minting pennies, as they cost 3.69 cents to make. 

That makes the phrase “penny wise and pound foolish” officially passé - at least in America. 

 

 

Many phrases like this still exist. It’s an interesting example of the power of language. Words take on meaning beyond their original usage ... and often remain relevant long after their origin has become irrelevant. 

For example:

• Burning the midnight oil means working hard, but it comes from a time before electricity, when you had to use candles and lamps to light a room after dark. 
• Time to face the music refers to dealing with the consequences of one’s actions, but originates from a time when disgraced military officers had to face a drumline upon discharge.
• More recently, hang-ups were what you did when you replaced a phone receiver in its cradle. Now, you can only really find a desk phone in an office. Even then, you don’t need to place it in its cradle to hang it up. 
• Put a sock in it comes from the act of putting a sock into the trumpet of a gramophone.
• And Stereotypes come from a type of printing plate commonly used in old-school newspaper publishing. While it still refers to impressions ... the origin is lost on the average user of this word. Filming is rarely done on film; footage is from when film was measured in feet and frames, and you don’t need to stay tuned because your television doesn’t need to be tuned to receive the channels you like. 

Until recently, technologies (and the phrases they spawned) lasted for decades, if not longer. As technology evolves at an ever-accelerating pace, new tools, platforms, and ways of communicating emerge almost daily. With these innovations come fresh slang, buzzwords, and cultural references that often catch on quickly—think “DM me,” “ghosting,” or “cloud computing.” Yet just as rapidly as they rise, many of these terms fade into obscurity, replaced by the next wave of trends. What was once cutting-edge can become outdated in a matter of years, if not months. This cycle of innovation and obsolescence is a hallmark of the modern digital era.

However, much like these old idioms, the fleeting nature of these technologies and jobs doesn’t mean they lack value or impact. Some expressions endure because they capture something universally human—emotion, conflict, humor—even if the context changes. Similarly, technologies may evolve, but their core functions or purposes often remain. The fax machine gives way to email, and email to instant messaging—but the need for communication is constant.

This principle also applies to work and tools. While job titles and methods may change, the underlying skills — such as critical thinking, collaboration, and creativity — remain timeless. A carpenter today might use laser-guided saws instead of hand tools, just as a marketer might use data analytics instead of intuition alone, but the essence of their work persists. Innovation reshapes how we do things, not always what we do.

Just as enduring phrases carry forward old meanings in new settings, so too will jobs, tools, and skills adapt and survive.

Onwards!

The Rise of AI Art and Its Implications

The last time I talked about AI Art specifically was in 2022 when Dall-E was just gaining steam. Before that, it was 2019, when AI self-portraits were going viral. 

On both occasions, it still felt like the relative infancy of the technology. I compared it to VR getting another 15 minutes of fame. 

The images at the time weren’t fantastic, but it was a massive step in AI’s ability to understand and translate text into a coherent graphic response. The algorithms still didn’t really “understand” the meaning of images the way we do, and they were guessing based on what they had seen before - which was much less than today’s algorithms have seen. They were also much worse at interpreting images. As such, when you tried to use AI to recreate an image, there were a lot of hallucinations. The algorithms were essentially a brute-force application of math masquerading as intelligence. 

 

Fortunately, AI imagery has come a long way since then. However, with that improvement comes more ethical concerns. 

The rise of AI-generated art has sparked a complex and ongoing ethical debate, with compelling arguments on both sides. At the heart of the discussion lies the question of authorship, originality, and the impact of automation on human creativity and labor.

Proponents of AI art argue that it represents a powerful extension of human imagination. Just as past innovations—such as photography, digital editing, or sampling in music—were initially met with skepticism, Advocates argue AI-generated art is simply the next evolution in the artistic toolkit, and it democratizes access to artmaking. As a result, those with less skill - or time - can explore new styles, generate concepts, and be creative in a new form. To this end, they see AI not as a threat but as a collaborator—another brush or chisel in an artist’s hand.

However, critics raise concerns about the ethical implications of AI art, particularly in how these models are trained. Many AI systems are built on vast datasets scraped from the internet, including artwork by human creators who were neither consulted nor compensated, leading to accusations of IP theft. Moreover, they argue it sets a dangerous precedent where creative works can be replicated and commodified without consent or attribution. Lastly, on the idea of democratization, they would argue that art is already accessible to all and that people should be willing to explore skills not only to be good at them but to enjoy them. 

 

 

The most recent trend has been a great example of this argument. The launch of OpenAI’s new image generator, powered by GPT-4, has empowered users to transform their photos into various famous media themes - like Renaissance paintings or  Studio Ghibli anime images - which ironically goes against the ethos of Studio Ghibli and Hayao Miyazaki. The studio is known for its commitment to the craft, with carefully animated and hand-drawn scenes. Their films are known for glorifying nature and living in harmony with it. Miyazaki also believes that AI art is disrespectful to the “life” found in human-created art. 

 

“I feel like we are nearing the end times. We humans are losing faith in ourselves.” - Hayao Miyazaki 

 

I’m a massive fan of AI - and even AI art ... but as the technology continues to evolve, society must grapple with how to integrate these tools in ways that honor both progress and the rights of the artists (and people) whose work—and livelihoods—may be at stake.

What do you think?

AI: We're Not Just Prompts!

AI’s trajectory isn’t just upward—it’s curving ever steeper. From DeepMind’s groundbreaking models to Flow’s democratization of filmmaking, people are becoming used to how quickly AI technology improves.

 

Breakneck doesn’t even seem adequate to explain the scale of the movements. Because it isn’t just about the rate of change – even the rate of change of the rate of change is accelerating ... and the result is exponential progress.

 

Here is a simple example. Remember when you mocked AI-generated videos on social media for obvious flaws (e.g., six fingers, unnatural blinking or movement, etc.). Over the past few months, AI media quality has improved so much that spotting fakes is now difficult, even for tech-savvy people.

 

Well, we just took another giant leap.

 

This week, Google’s DeepMind unit released three new core AI models: Imagen for image generation,  Lyria for music generation, and Veo 3 for video generation.

It only takes a quick look at Veo 3 to realize it represents a significant breakthrough in delivering astonishingly realistic videos.

I’m only including two examples here ... but I went down the rabbit hole and came away very impressed.

Take a look – Everything in the clip below may be fake, but the AI is real.

 

via Jerrod Lew

The era of effortless, hyper-real content has arrived.

 

One of the big takeaways from tools like this is that you no longer need content creation talent other than your ideas.

 

An example of this comes from Google’s new AI filmmaking tool, Flow. 

What Is Flow?

What if creating professional-grade videos required no cameras, no crew, and no weeks of editing?

 

Flow can imagine and create videos just from your ideas. Kind of like telling a friend a story and having them draw or act it out instantly.

How Does It Work?

Think of Flow as a giant box of movie Legos. You can bring your own pieces (like pictures or clips) or ask Flow to make new pieces for you. Then, you snap them together to build scenes and clips that look like real movies.

Why Is This Cool?

It is becoming easier for almost anyone to create the type of content that only a specialist could produce before. The tool makes it easy in these three ways.

1. Consistent: The videos stick together well, so your story doesn’t jump around confusingly.
2. Seamless: It’s easy to add or change things without breaking the flow.
3. Cinematic: The videos look high-quality — like something you’d see on TV or in theaters.

If you want to play with it, it’s available to Google Ultra subscribers through the Gemini app and Google Labs. 

Ok, but what can it do?

Redefining “Real”

Don’t skip this next part. It’s what gave me the idea for the post.

To set the stage, imagine you’re watching a video of a person talking. Typically, you think, “This is real — someone actually stood in front of a camera and spoke.” But now computers can make a video that looks and sounds so real, you can’t tell it’s fake.

 

Anyway, this week, I saw a cool video on social media. At first, I thought it was cool simply because of the idea it expressed. But the video gets even more interesting when you realize how it was created.

 

“Prompt Theory” is a mind-bending exploration of artificial intelligence brought to life. The premise examines what happens when AI-generated characters refuse to believe they’re not real. From stunning visuals to synced audio, this video showcases AI’s new immersive storytelling power while examining some pretty trippy concepts.

 

Hashem Al-Ghaili via X

I predict you will see a massive influx of AI-generated content flooding social media using tools like this. 

Meanwhile, digital “people” with likenesses and internal objectives are increasingly going to become persistent and gain the ability to influence our world. This is inevitable. Yet, it’s still a little disorienting to think about.

 

As digital agents gain persistence and purpose, we face profound questions about reality, ethics, and human creativity.

 

And that is only the beginning!

 

Perhaps we are living in a simulation?

Is AI Making You And Your Team Smarter?

At the core of Capitalogix’s existence is a commitment to systemization and automation. 

At first, the goal was to eliminate fear, greed, and discretionary mistakes from trading.

Over time, we’ve worked hard at making countless things easier. Much like math, we found that the best practice is to simplify complex processes before trying to automate them.

I’m surprised by how many times I have had the same realization ... Less is more.

Likewise, I’ve learned the hard way that a great strategy is useless if people don’t get it. That is part of the reason that frameworks are so important.

Ultimately, the process, the system, and the automation should follow this basic recipe if you want it to succeed:  Simple, Repeatable, Consistent, and Scalable.

Finding ways to automate sounds great. Increasing efficiency, effectiveness, and certainty sounds great, too  ... but, routines and habits become ruts and limits when they become un-measured, un-managed, or forgotten. 

A practical reality of increasing automation and constant progress is that it becomes increasingly important to have expiration dates on decisions, systems, components, and automations. We need to shine a light on things to make sure they still make sense or to determine whether we have a better option.

Freeing humans to create the most value sounds great, too ... but, as the pace of technological progress increases, the importance of freeing people to do more diminishes if they don’t actively rise to the occasion.

 

My Use of Technology

I got my first computer in 1984. It was the original Macintosh. That means I’ve been searching for and collecting technology tools to make business and life easier and better since the mid-80s.

It has been a long and winding road. These days,  it seems like I’m constantly looking for new ways to use AI in my life.

As you might guess, I “play” with a lot of tools. Of course, I think of it as research, discovery, and skill-building ... rather than playing. Why? Because it is something I’m good at, it produces value – and it gives me energy ... so, I make sure to reserve a place for it in my routine.

While most of what I explore doesn’t make it into my “real work” routine, I now have a toolbox of dozens of tools that I use for everything from research, notetaking, brainstorming, writing, and even relaxing. 

It’s a little embarrassing, but my most popular YouTube video is an explainer video on Dragon NaturallySpeaking from 13 years ago. It was (and still is) dictation software, but from a time before your phone gave you that capability. 

As I focus on systemization, I also have to focus on optimization. 

Using generative AI tools for daily research has fundamentally changed how I approach information gathering. What began as a meditative practice—slowly reading, digesting, and reflecting on material—has evolved into a faster, more expansive process. With AI, I can now scan and synthesize a much broader set of sources in far less time. The quality of the summaries and takeaways is high, enabling me to deliver more value to others. I can write better articles, share timely insights with fellow business owners, and keep my team well-informed. The impact on others has grown — but something subtle has shifted in my own learning.

The tradeoff is that if I’m not as careful as I used to be while doing the research, and I don’t engage with the material in the same way I did before. When I did the research manually, I was “chewing and swallowing” each idea, pausing to make connections, reflecting on implications, and wrestling with the nuance. That process was slower, but it etched ideas more deeply into memory.

As a result, my favorite articles of the week or month would show up in how I spoke on stage, what I wrote about, and how I worked through roadblocks with employees. Now, I notice that although I’m exposed to more information, it doesn’t have the same weight or impact. I’m consuming more at scale ... but retaining less, or perhaps less deeply (at least in my head). In contrast, I store much more, both in terms of quantity and depth, in my second brain (meaning, the digital repositories available for search when needed).

This brings up a fundamental distinction between knowledge storage and knowledge retrieval. Storage is about accumulating information, while retrieval is about quickly accessing and using the correct information at the right time. It requires digestion. 

It’s kind of like Amazon. Amazon has made buying books and getting them on my shelves easier than ever. I’ve got 1000s of books with answers to many of life’s questions. But, I’d estimate that I’ve really only read around half of the books I currently have on my shelf. The point is that having a book on your shelf with the answer to a problem is not the same as having the answers. 

I now have many thousands of articles in my Evernote. There are probably over a hundred of them about better “prompt engineering” or using “prompting techniques better”... but I can’t pretend that each article has made me better at those things. I have gotten better at thin-slicing and knowing what I want to store to improve the quality of the raw material I search for.

So now, I’m exploring how to maintain a balance. I still want to leverage AI’s value, while reintroducing a layer of slowness and reflection into the process. Maybe that means manually summarizing some articles. Maybe it means pausing to journal about what I’ve read, or discussing it with someone. The goal is not to abandon the efficiency — but to ensure that efficiency doesn’t come at the cost of depth.

The priority is making sure I’m optimizing on the right thing. It’s not progress if you’re taking steps in the wrong direction.

Let me know what you think about that ... or what you are doing that you think is worth sharing.

Onwards!