Agency vs Inference: LLMs, or AI as some like to call them, are token generators. For a model to “break containment“, “send an email” or perform any other action outside of generating a token, it needs a functional bridge (APIs, tool-calling, or a shell environment) to perform these actions. If it “escaped“, that means a human either misconfigured or deliberately enabled it to perform said task.

When a CEO says “The model might be conscious“, what they actually mean is “Our valuation needs another zero.“.

As engineers, we know the “ghost in the shell” is just complex algorithms and a very expensive GPU bill. There is no soul in the transformer; there’s just a Softmax function guessing the next word. Calling a next-token predictor “sentient” is like calling a calculator “mathematically gifted“. It’s not thinking; it’s just incredibly fast at being a parrot.