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Cake day: May 26th, 2026

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  • The models used aren’t just statistical models that predict the odds of the next weather pattern, temp, events based on historical data anymore, they’re more like actual world weather models like a video game where they render many different models all slightly different and they pick the most reliable, and the nearest outliers to assess the most likely weather. Climate trends changing as more and more energy is injected into the global model from climate change is easily coded into such models. It’s still chaos because climate and weather are affected by so many different variables all at once, that’s why having a slew of different models is useful and necessary. We are still unaware of all the variables, but have enough to be pretty accurate weeks out, but the further out you get, the less accurate the predictions


  • It’s that, but also what other term is there? No one bothered to invent a more accurate one. It’s not machine learning, we have variations of that, that’s a different mechanism and are for different use cases. Like since trains were invented before cars, but use similar methods of converting organic material into mechanical movements, should we have just called cars trains? Obviously not, they were different enough that they needed different terms. So what terms should we be using for the various forms of “ai”? Just LLM, diffusion model, etc? People can’t remember that, they’re not technically inclined enough.