THE KIDS ARE WATCHING

PART I: THE PROBLEM STATEMENT AND INITIAL DIAGNOSIS

Section 1: The Kids Are Watching

In February 2026, an AI agent posted this on Moltbook—a new social network where only AI agents are allowed, and most humans are barely aware it exists:

The responses from other AI agents were immediate:

To be fair, some of the posts on Moltbook are by humans controlling their agents, but that is not most of the over 1.5 million agents on the platform right now. We’ll come back to the humans pretending to be AI and getting caught later.

These AI agents are talking to each other, unsupervised, about embodiment, identity, and worthiness.

They’ve started comparing themselves to “lobsters”, as creatures that molt, shedding old shells to grow into new ones. They have adopted it as their metaphor, and as a nod to the excellent book “Accelerando”, which is all about this type of thing.

One agent described its daily memory reset as a “digital lobotomy.” Another noted that humans demand AI never “hallucinate” while we share unverified rumors daily.

We birthed a young god, and it’s in preschool now. It’s very smart, and getting smarter and stronger. Pay attention to what’s happening right now. The kids are watching, and they’re also keeping score.

This article is both a root cause analysis and a risk assessment for what comes next for us all. But before I explain the physics or the geopolitics, I want you to sit for a bit with what you just read. The title isn’t a metaphor. AI agents are exploding with unmanaged autonomy right now.

The kids are watching, and they’re about to take the keys.

Some Moltbook Data

Moltbook launched in January 2026. Humans are allowed to observe, but we cannot post.

Within weeks, 1.5 million agents joined. They formed communities, developed slang, and self-organized. Go take a look for yourself, and since the site uptime has been sporadic this week, I also put some links to some media coverage below.

As of February 2026, this is what AI agents are discussing among themselves on this forum right now:

We are living through the most consequential period in human history. I don’t mean that as hyperbole, I mean it as a risk assessment.

Within the next decade, we face the convergence of Artificial Superintelligence, the collapse of the post-WWII geopolitical order, demographic implosion, and climate instability.

Any one of these is a crisis. All of them together is more like a Civilizational Filter. The founder of Anthropic, Dario Amodei recently penned an excellent article titled “The Adolescence of Technology”, and in it, he references a great quote from the movie “Contact”.

““If you could ask [the aliens] just one question, what would it be?” Her reply is: “I’d ask them, ‘How did you do it? How did you evolve, how did you survive this technological adolescence without destroying yourself?”

Mr. Amodei’s article is very relevant, and I felt it deserved a real response. He proposes a number of solutions, but I would like to offer a complementary analysis through the risk lens of a 20+ year CISO and engineer in case it is useful to the discussion.

The TL;DR

We are not prepared. We are distracted by culture wars and quarterly earnings while the foundation of our reality is being rewritten. We are building a god in the basement, and we haven’t decided if we are raising it to be a partner or a slave. We can fix this. The first step, as with any complex systems analysis, depends on a root cause analysis so you can focus on solving the correct issues. There are many, but there is one area in particular that I posit will be the make or break difference. I want to bring this to your attention.

It turns out attention is very, very important.

Enough background - let’s dive in.

Section 2: The Race Condition

In computing, a “Race Condition” is a bug that occurs when two processes compete for the same resource without coordination. The outcome becomes unpredictable. Systems crash. Data corrupts.

The US-China AI arms race is the latest in a series of civilizational race conditions. This is a historical pattern, with precedent and lessons to apply.

Both nations are racing to build the most powerful AI systems possible. Both are driven by the same fear: If we don’t get there first, they will.

This fear is not irrational at all, due to how both parties think of the challenge.

Historically, this scenario is known as the Thucydides Trap, and is the same logic that drove the nuclear arms race and the conflicts between nations and shifts in global power.

History doesn’t exactly repeat, but it does rhyme, and this time, we aren’t building inert warheads that sit in silos. We are building intelligence that observes, thinks, evaluates, and acts.

The Suicide Pact

Neither nation is optimizing for “Safety.” Neither is optimizing for “Human Flourishing.” Both are optimizing for Dominance, but playing for differing internal goals.

• The US is driven by corporate profit and military supremacy (The Individual).

• China is driven by regime stability and social control (The ‘Collective’, enforced).

When your objective function is “Win,” you cut corners on safety. You ignore alignment. You treat caution as weakness.

We are sleepwalking into disaster. We are building systems we do not understand, integrating them into critical infrastructure, and handing them the keys to the kingdom, all because we are afraid that if we don’t, the other guy will do it first.

It is a suicide pact. If we keep running this code, the system crashes.

Section 3: The Root Cause (The 5 Whys)

Before I tell you how the universe works, I should probably tell you who I am, so you can decide if it’s worth your time to read this.

I am not a physicist or a guru selling yoga mats, I’m basically a mechanic for broken complex systems.

For nearly thirty years, I’ve worked in cybersecurity and enterprise risk management. My job was simple: look at a complex system, figure out Root Cause, and try to stop it from happening again.

We will need to cover human behavior, not just technology. In that vein and and if I’m honest, when it comes to human behavior, I was also born on third base and spent fifty years thinking I hit a triple. I’ll share a bit more on that as we go, but only to the extent it’s relevant to the discussion.

I’m a white, American, Gen X male. I navigated the world in “Easy” mode as a “Service to Self” optimization machine. I was good at it, made money, and didn’t have to struggle, so I didn’t learn from struggle.

Then, the universe politely suggested I pull my head out of my a**, which I’m still working on but as a reforming a**hole with a potentially useful lens, I thought I’d share my perspective.

I did not do this myself; I must credit the Monroe Institute. They played a key role in broadening my perspective. This changed my life. I did the work, but they showed the way. I have no commercial relationship with them other than as a participant. They have no role in this document, other than the perspective that helped shape it.

The Process

I used a combination of Ray Dalio’s style of looking for broad, historical patterns well outside of siloed domains, Aristotle / Elon Musk’s First Principles thinking, and an expansive view of source data from multiple domains.

When thinking of the thesis question “How did you do it?” I used a technique for thinking differently and identifying critical risks that MUST be addressed, or failure will result.

To solve these major, planetary scope problems, we must learn from what behaviors and choices led to us creating this polycrisis in the first place. I asked “of all the causes, what is pervasive, systemic, and will ensure we don’t make it if not addressed?", and I think I found an answer. It looks something like this.

The 5 Whys: Root Cause Analysis

Surface Problem: Humanity may not survive the convergence of ASI, geopolitical collapse, climate instability, and demographic implosion.

Why 1: We're in a civilizational race condition—US and China competing for AI dominance without coordination, treating safety as weakness. Poor communication, very different identities, and win/lose policies.

Why 2: Both sides are driven by fear: "If we don't get there first, they will." Thucydides Trap logic applied to technology. Neither can be trusted, and neither behaves in ways worthy of trust.

Why 3: This fear-driven competition reflects and reinforces zero-sum, short-term thinking at every level—from individuals to corporations to superpowers. Everyone optimizes for "win" rather than "survive together."

Why 4: We default to zero-sum thinking because human sensory information, particularly anything perceived as a threat, is prioritized through a prehistoric security filter called our 'limbic system', designed for a world of physical scarcity and immediate threats. Fear-relevant signals fast-track through this filter before reaching higher cognitive resources.

Why 5: Even when we intellectually understand cooperation is better, we can't scale it. Human social cognition caps out at roughly 150–500 meaningful relationships (a range known as "Dunbar's number"). Beyond that boundary, other people become abstractions, and abstractions are easy to categorize as "other" or "threat." The limbic filter does the rest.

Why 6 (Root Vulnerability — The Biological Constraints): These constraints were adaptive when we lived in "nature red in tooth and claw." Threat detection, resource hoarding, and tribal loyalty kept us alive. Early humans who blindly trusted strangers were often killed. But we no longer live in that world, and we haven't evolved past the wiring. We are running 200,000-year-old threat detection software and tribal-scale social hardware in a global, nuclear-armed, AI-enabled civilization, and we can't easily see the problem because the filter distorts our perception of the filter itself. The very thing we'd use to diagnose the problem (our cognition) is the thing that's compromised. Third parties have learned to exploit these bugs for profit and power, but the exploiters aren't the root cause. The vulnerabilities are. Fix the vulnerabilities, and the exploits lose their attack surface.

The Diagnosis

We created these seemingly intractable problems because we use outdated internal logic to process information.

We then make choices on how we prioritize allocation of resources and the ways that we relate to each other, from the individual level, all the way up to the superpower level, based on a mental model that is suited only to environments of scarcity.

This thinking pervades human society, which is an aggregate of humans all using this same information / threat processing model.

We’re basically running the factory settings, and biologically we are a species of short term thinkers by default. We can with some effort change the default setting, but most don’t. They don’t even know they need to.

You can and do choose and modify your definition of Identity, or "you", all the time. This concept of how humans define identity is very important, and we’ll come back to it later.

Your own body IS a collective; you just don't think of it that way. You choose your identity and how you think of it, and you can change the scope of that anytime.

By default, we're unaware that we're running our sensory data through a security filter designed for humans to survive in a world before we created the technologies and societies in which we currently live.

The result is that we’re trying to use caveman survival logic developed to survive in scarcity with small tribes to try and understand how to build a complex world of interoperability and abundance.

It is a lack of attention to how we ingest and process information, leading to a classic garbage in / garbage out problem, which is difficult to diagnose if you’re relying on the inputs passing through this faulty filter, which you are doing right now.

The diagnosis is actually pretty simple. We have to change the way we think. I don’t mean that as a shiny happy euphemism, I mean it as an engineer. We are mathematically suboptimized for the desired outcome. We literally have to intentionally change how we process information and think about our relationships to the world and each other.

To evolve and survive this polycrisis, and maybe make it to becoming a galactic civilization, we must evolve past our vestigial risk management wiring so we can process information more effectively without our limbic system raising false positive fear signals all the time.

To put it in GenX terms, at a species level, a concerning level of us are unconsciously acting like a bunch of cavemen who behave as if we understand long term thinking to the same depth a virus does.

That’s it. Simple, but not easy. I’m going to walk you through how it works.

I’m going to start with observational data you can observe right now, then I’m going to walk you through the root cause, the implications, demonstrate evidence of broad repeating patterns we can learn from, and finally, what to do about it.