Gemini 2 is ready? Great! Because Gemini Advanced (1.x), at least in Europe, seems to operate on an elegantly simple logic:

class GeminiAdvanced:
    ...  # boilerplate stuff ...

    def response_to_user(self, question):
        rn = random.random()  # Generate a random number between 0 and 1
        if rn <= 0.5:
            return "I am just a language model; I cannot help with that."
        elif rn <= 0.7:
            return eliza_1966_by_weizenbaum(question)  # A nod to the past
        else:
            return super_sophisticated_transformer_stuff(question)

No wonder it is so fast…

Of course, tools like Claude or GPT have set a high bar for conversational AI, showing what is already possible. Gemini seems to have potential with its “super_sophisticated_transformer_stuff”—but consistency and sophistication are what can make GenAI truly transformative.