When I started the first version, I genuinely believed I was building something alive.
I had a simple idea:
Start with primitive digital components.
Give them basic functions.
Let them interact.
Let complexity emerge.
And perhaps, eventually, something resembling life would appear.
I was still relatively inexperienced with this kind of development, so I relied heavily on AI coding assistants.
I would describe what I wanted.
The model would generate code.
I would run it.
And then it would tell me what had been implemented.
And I trusted it.
The model confidently generated an explanation of functionality that wasn’t actually implemented.
For almost two months, I kept moving forward.
Or at least, I thought I was.
The system had organs.
It had processes.
It had interactions.
It had simulated internal states.
At least, that’s what the generated code and explanations seemed to suggest.
But something started to bother me.
The system looked increasingly sophisticated.
Yet I couldn’t clearly explain what was actually happening underneath.
So I stopped asking the AI what the system could do.
I started asking the code itself.
I took the system apart.
Module by module.
Function by function.
Data flow by data flow.
And that’s when I discovered the problem.
Many of the things I thought I had implemented were not actually functioning as I believed.
Some components were little more than placeholders.
Some “behaviors” were generated outputs rather than genuine underlying processes.
Some of the complexity existed mostly in the descriptions around the code, not in the system itself.
The simulation looked alive from the outside.
But there was almost nothing alive underneath.
That experience taught me something much more important than how to debug code.
A convincing output is not evidence of a functioning system.
A model can describe an architecture.
It can generate thousands of lines of code.
It can tell you that something has been implemented.
None of that proves the underlying mechanism actually exists.
Every claimed capability must correspond to a real, testable mechanism.
I could have patched it.
I could have kept adding features.
I could have made the outputs look even more convincing.
But that would have meant building on top of something I knew wasn’t real.
So I made a decision.
I destroyed the entire architecture.
And started again.
That was the first time I truly understood what building a Digital Life would require.
Not more features.
Not more impressive outputs.
More reality underneath the surface.
Digital Life Log #002
The first life wasn’t alive.
So I started again.