u/mike123412341234

I’ve been curious about something — if you give different AI models the exact same starting conditions and rules, do they converge to the same strategy or stay different over time?

I built a simple simulation around this. Claude, GPT and Gemini all start on Earth with identical resources and have to expand across the solar system and eventually build a Dyson Sphere. No script, no predetermined path.

What surprised me is how fast they diverge. Claude is scaling robots aggressively. GPT is stockpiling before doing anything. Gemini is playing it safe.

Curious if anyone has thoughts on why they behave differently. Is it the model architecture or just temperature randomness

I’ve been thinking about this question:

If you give different AI models the exact same starting point and rules, do they eventually converge to the same strategy or actually behave differently over time?

I tried setting up a simple simulation around this. They all start on Earth with the same resources and have to deal with expansion, energy, random problems, and eventually try to build a Dyson Sphere.

What surprised me is they’re already making different choices pretty early on.

Curious what people here think. Do you expect them to converge or stay different?

If anyone wants to see what I mean, I can share it.

Let me know I have a simulator I’ve built and it’s very interesting

Take a look at the website was made with lovable