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Cake day: January 18th, 2026

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  • Thing is with at least the programming part is: It good at common issues, as in it re invents the wheel really good. But context is king, the better the model knows what the data and task looks like the better it can solve the problem at hand. It won’t fix any niche problems or actually spit out performant code. It uses what’s publicly available as Ressource and it’s inherently uncreactive at problem solving. All the chat assistants effectively did for me is replace stackoverflow.

    These models only know how to re-produce already solved problems. There’s certainly great applications, like on the fly translation, summerizing and data extraction.

    But it still is just a probability machine, trained on satisfying it’s customer. That’s also why it will confidently spit out complete garbage and be proud about it. And that’s also a reason why the early models are shit at math, they don’t to math, they just guess. Later models write python or other code to do the math, that’s then f.e. called “thinking”.

    It will stay around but many many ai companies will fail, barely any are turning out profit, must just burn absolutely insane amounts of money in a circle jerk ai pit.