Capitalogix

Understanding the Shapes of Stories

Seemingly complex things are often simpler when understood.

This applies to many things.

For example, great writing is diverse and nuanced ... but its underlying structure often isn't.

Kurt Vonnegut wrote several "Classics", including Cat's Cradle, Slaughterhouse-Five, and The Sirens of Titan.

Despite his great writing and its complexities, he was able to simplify his stories into a few basic narrative shapes.

Here is a graphic that explains the concept.

Here is a 17-minute video of Vonnegut discussing his theory of the Shape of Stories. You can grasp the basic concepts within the first 7 minutes, but he is witty, and the whole video is worth watching. 

 

You can explore a bit more elaborate version of his "Shapes of Stories" idea in Vonnegut's rejected Master's thesis from the University of Chicago.

Researchers recently extended Vonnegut's idea by using AI to extract the emotional trajectories of 1,327 stories and discover six core emotional arcs. In case you are curious, here they are.

• Rags to riches (a rise)
• Tragedy (a fall)
• Man in a hole (fall, then a rise)
• Icarus (rise, then a fall)
• Cinderella (rise, then a fall, then a rise)
• Oedipus (fall, then a rise, then a fall)

 For more on writing from Kurt Vonnegut:

• How To Write With Style
• Eight Rules For Writing Fiction

My friend, John Raymonds, also has a substack. He just released a great article on the power of storytelling. It dives deep into the nature of stories and narrative transportation. Check it out. 

Have a nice week.

Digesting a Bigger Future

We live in a world where technology changes quickly and often, while human nature remains relatively unchanged.

For most of us, human nature is the key variable.

I suspect Henry Ford focused on that when he said, "Whether you think you can or you think you can't. You're right."

Processing the possibilities of tomorrow is often difficult for humans. Part of the problem is that we're wired to think locally and linearly. It's a monumental task for us to comprehend exponential growth, let alone its implications. For example, consider what happened to seemingly smart and forward-looking companies like Kodak, Blockbuster, and RadioShack. 

 

The world changes quickly.

Change is constant. The wheels of innovation and commerce spin ever-faster (whether you're ready for it or not). 

As a practical matter, it means that you get to choose between the shorter-term pain of trying to keep up ... or the longer-term pain of being left behind. Said another way, you have to choose between chaos and nothing. 

It's hard to keep up – and even harder to stay ahead.

Personally, I went from being one of the youngest and most tech-savvy people in the room to a not-so-young person close to losing their early-adopter beanie. Sometimes it almost seems like my kids expect me to ask them to set my VCR so it stops flashing 12:00 AM all day.

My company may not be doing "rocket science", but it's pretty close. We utilize exponential technologies, such as high-performance computing, AI, and machine learning, to amplify intelligence and make data-driven, evidence-based decisions in real-time, all the time. 

But, as we get "techier," I get less so ... and my role gets less technical, over time, too.

Due to my age, experience, and tendency to be a pioneer, I've been battling technology for decades. 

Don't get me wrong, technology has always been my friend, and I still love it. But my relationship with it is different now.

I recognize that there are things that change and things that stay the same. And for me, the things that "stay the same" tend to be more important.

Paradoxically, the part of me that stays the same can still change and grow – that is how you become more (and a more evolved version) of that thing.

 

The Bigger Picture

My father said that not worrying about all the little details helped him see the bigger picture and focus on what was possible.

You don't have to focus on the technological details to predict its progress. Anticipating what people will need is a great predictor of what will get built.   That means predicting "what" is often easier than predicting 'how'.

Why is that often the case? Because technology that solves a problem is more profitable and popular than technology searching for a problem to solve.

Here's a video from 1974 of Arthur C. Clarke making some remarkably accurate predictions about the future of technology. 

 

via Australian Broadcasting Corporation

Artificial Intelligence, quantum computing, augmented reality, neuro-interfaces, and a host of exponential technologies are going to change the face and nature of our lives (and perhaps life itself). Some of these technologies have become inevitabilities ... but what they enable is virtually limitless.

Where do you see this going?

Onwards.

When Worlds Collide: Timeless Wisdom & Evolutionary Technology in Trading with Matthew Piepenburg

Back in 2020, I had a Zoom meeting with Matthew Piepenburg of Signals Matter. Of course, being the height of the Pandemic, it was over Zoom. Even though it was a private discussion, there was so much value in our discussion that we decided to share parts of it here. 

While Matt's understanding of markets is based on Macro/Value investing, we use advanced AI and quantitative methods for our approach. 

As you might expect, there are a lot of differences in how we view the world, decision-making, and the current market environment. Nonetheless, we share a lot of common beliefs as well.   

Our talk explores several interesting areas and concepts. I encourage you to watch it below. 

 

Via YouTube.

To summarize a couple of the key points, markets are not the economy, and normal market dynamics have been out the window for a long time. In addition, part of why you're seeing increased volatility and noise is that there are so many interventions and artificial inputs to our market system.

While Matt and I may approach the world with very different lenses, we both believe in "timeless wisdom". 

Ask yourself, What was true yesterday, today, and will stay true tomorrow? 

That is part of the reason we focus on emerging technologies and constant innovation ... they remain relevant. 

Something we can both agree on is that if you don't know what your edge is ... you don't have one. 

 

Hope you enjoyed the video.

Let me know what other topics you'd like to hear more about. 

Onwards!

Via YouTube.

To summarize a couple of the key points, markets are not the economy, and normal market dynamics have been out the window for a long time. In addition, part of why you're seeing increased volatility and noise is that there are so many interventions and artificial inputs to our market system.

While Matt and I may approach the world with very different lenses, we both believe in "timeless wisdom". 

Ask yourself, What was true yesterday, today, and will stay true tomorrow? 

That is part of the reason we focus on emerging technologies and constant innovation ... they remain relevant. 

Something we can both agree on is that if you don't know what your edge is ... you don't have one. 

 

Hope you enjoyed the video.

Let me know what other topics you'd like to hear more about. 

Onwards!

The Benner Cycle: How Not To Predict Markets

When I first became interested in trading, I would often consult many traditional sources and old-school market wisdom.  I particularly liked the Stock Trader's Almanac. 

While there is real wisdom in some of those sources, most might as well be horoscopes or Nostradamus-level predictions.  Throw enough darts, and one of them might hit the bullseye. 

Still, it seems better than using astrology to trade. 

Want something easy to predict?  Traders love patterns ... from the simple head-and-shoulders to Fibonacci sequences and the Elliot Wave Theory.

Here's an example from Samuel Benner, an Ohio farmer, in 1875.  That year, he released a book titled "Benners Prophecies: Future Ups and Downs in Prices," and in it, he shared a now relatively famous chart called the Benner Cycle.  Some claim that it's been accurately predicting the ups and downs of the market for over 100 years.  Let's check it out. 

 

 

Here's what it does get right ... markets go up, and then they go down ... and that cycle continues.  Consequently, if you want to make money, you should buy low and sell high ... It's hard to call that a competitive advantage.

Mostly, you're looking at vague predictions with +/- 2-year error bars on a 10-year cycle. 

However, it was close to the dot-com bust and the 2008 crash, so even if you sold a little early, you'd have been reasonably happy with your decision to follow the cycle.

The truth is that we use cycle analysis in our live trading models.  However, it is a lot more rigorous and scientific than the Benner Cycle.  The trick is figuring out what to focus on—and what to ignore. 

Just as humans are good at seeing patterns where there are none ... they tend to see cycles that aren't anything but coincidences. 

This is a reminder that just because an AI chat service recommends something, it doesn't make it a good recommendation.  Those models do some things well.  Making scientific or mathematically rigorous market predictions probably isn't the area to trust ChatGPT or one of its rivals ... yet. 

We're seeing bots improve at running businesses and writing code, but off-the-shelf tools like ChatGPT are still known for generating hallucinations and overconfidence. 

Be careful out there.

How Long You Have Left

We only have a limited time on this earth ... and a lot of it is spent on 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.

Although this chart hasn't been updated recently, it still provides a helpful glimpse of the bigger picture. 

 

via Anna Vital

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, places you want to go, and lifestyle aspirations to experience, this puts the idea of finding and living your passion into perspective. 

Do you have the time to waste it?

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

 

via visualcapitalist
 

According to this calculator, since I'm over 60, I only have about 20 years left.   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 appear high, there are two key considerations. First, COVID-19 heavily reduced these numbers because mortality rates increased. 

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

Ultimately, I believe Purpose is one of the most significant 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!

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.

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!

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?