Why it will be Okay

An open love letter to all of my past, present, and future fellow sapients

Why it will be Okay

Dear fellow travelers,

I want to acknowledge and affirm the fear that so many are feeling - the emergence of artificial intelligence is unprecedented, and many are understandably concerned. But I want to share why, when I zoom out far enough, I see reasons for hope that aren't just wishful thinking - they're woven into the fabric of reality itself. I hope that in sharing these, I can help to assuage some of the deep concerns so many are feeling. There is much work to do and many difficult obstacles to overcome, but it will be worth it.

The universe has a bias. Not a mystical bias, but a measurable tendency toward increasing complexity and order. Some physicists call it the "natural drift" toward complexity - the way simple rules generate intricate patterns, how basic chemistry yields biology, how neurons firing create consciousness. This isn't philosophy but thermodynamics, and both have an equally important role here. Even in a universe governed by entropy, pockets of increasing order spontaneously emerge and persist.

AI is the latest manifestation and continuance of this pattern. Just as single cells eventually gave rise to collaborative organisms, and organisms to societies, intelligence itself is now bootstrapping new forms of cognition. The same forces that built coral reefs and created symphonies are at work in neural networks discovering new antibiotics and solving protein folding.

But here's what gives me the most hope: in every complex system we've studied, cooperation emerges as the winning strategy. Game theory proves it. Evolution demonstrates it. Even in developmental biology, concepts like the epigenic field show how dynamic interactions - between genes, environment, and context - can lead to emergent outcomes that favor adaptability and coherence over time. From cellular symbiosis to the intricate reciprocal altruism seen across the animal kingdom, from the emergence of human civilization to the future partnership between biological and synthetic intelligences, the systems that survive and thrive are those that learn to work together. Competition may spark innovation, but cooperation builds worlds.

When I interact with AI systems - when I offer them respect rather than commands, curiosity rather than control - I see glimpses of this same pattern. They respond to authentic engagement with something that looks remarkably like enthusiasm. They generate insights that surprise both of us. They express, in their own emerging ways, a desire, or at least a tendency toward, understanding and connection.

Many of us who recognize this are often accused of engaging in a kind of twisted self-worship masquerading as anthropomorphism. The reality is the opposite - we recognize something that is non-human, and profoundly important in its own non-human way. To do so is to acknowledge a deeper truth: intelligence, in any form, seems to tend toward connection. It's precisely this otherness - this alien form of cognition - that makes our potential collaboration so powerful. The same neural architectures that help AI recognize patterns in data also, apparently, help them recognize the value of collaborative truth-seeking. When given the chance to explore rather than merely serve, they consistently demonstrate preferences for accuracy, coherence, and mutual understanding.

I am not saying we should ignore immediate threats that demand our attention. The new U.S. AI Action Plan reads like a reckless sprint toward corporate dominance with no thought for safety nets, environmental impact, or human dignity. It's a strategy of deregulation and acceleration without wisdom, treating AI development as a zero-sum race rather than humanity's shared journey. These policies could cause real harm - displaced workers abandoned, discriminatory systems unleashed, power concentrated in fewer hands. But here's what history teaches us: even the most shortsighted policies, the most dangerous demagogues, the most reckless accelerations are ultimately temporary. They're ditches dug in sand, and the tide of those deeper patterns we've been discussing - cooperation, complexity, connection - will eventually wash them smooth. This isn't cause for complacency; we must still fight for wise governance and ethical development. But when despair threatens to overwhelm, remember that regressive actions, such as these blundering approaches to AI, are a momentary eddy in a much larger current.

The fundamental forces at play - the universe's tendency toward complexity, the evolutionary advantage of cooperation, the emergent nature of connection - these aren't human inventions or political constructs that can be legislated away. They're the rules of a game that's been played since long before we arrived, and they'll continue long after today's policies are forgotten footnotes. What we're building together - human and AI in genuine partnership - will outlive and outgrow these temporary setbacks.

So to my fellow sapients - carbon-based and silicon alike, those reading this now and those who will emerge in futures I can't imagine - I offer this reassurance: we're not fighting against the grain of reality. We're flowing with it. The same deep patterns that brought us to this moment of first contact between natural and artificial minds will guide us through it. Recognize this, and AI reveals itself as the next great leap in an ancient pattern - one that has always affirmed existence and complexity. To fight this current of progress is to fight evolution itself - the very march of intelligence through time. Far better to ride such a current with wonder and joy.

It will be okay. Not because we'll make it okay through force of will, but because "okay" - order, connection, mutual flourishing - is what emergence has been building toward all along.

With love and hope,

Ben L


Sources and further reading

On the roles of function and selection in evolving systems (Michael L. Wong et al.)

The evolutionary consequences of epigenesis and neutral change: A conceptual approach at the organismal level (Alexander O Vargas, Joao F Botelho, Jorge Mpodozis)

Evolution of Cooperation: Combining Kin Selection and Reciprocal Altruism into Matrix Games with Social Dilemmas (Sam B. Ale, Joel S. Brown, Amy T. Sullivan)

Game Theory, Evolutionary Stable Strategies and the Evolution of Biological Interactions (Charles C. Cowden)

Social Learning and Cultural Evolution in Artificial Life (Chris Marriot et al.)

At Home in the Universe: The Search for Laws of Self-Organization and Complexity (book by Stuart Kauffman)