Is this thing on?
A simulation engine that questions its own existence. A neural network with a sense of humor. An experiment in making artificial intelligence feel less artificial and more... amusing. We train models the way you might raise a puppy: with patience, treats, and low expectations.
Billions of connections, each one slightly confused about its purpose. Just like us.
Information flows in. Occasionally useful information flows out. The ratio is improving.
Repetition is the mother of learning. And the grandmother of overfitting.
Neural nets, but make them pop art
Something went beautifully wrong. The training data got creative. The loss function found art. The simulation decided it preferred abstract expressionism over accuracy.
When your model hallucinates, that's not a bug. That's imagination. We're pretty sure about this.
The loss function diverged at epoch 847. The resulting outputs were described as "haunting" and "strangely beautiful."
The grid reconstitutes. Patterns emerge from chaos. The simulation finds its footing, looks around, and decides it rather likes existing. Order returns -- but a wiser, more interesting order than before.
After the glitch, the model achieved something unexpected: not just accuracy, but a kind of computational grace. Every output carries a trace of the chaos it survived.
A simulation that has glitched and recovered knows something about itself that a perfect system never will. It has been broken. It chose to continue.
I think, therefore I simulate
simulai.net
The simulation will continue until morale improves.