Opening — Why this matters now The AI market has learned to worship benchmark tables with the solemnity once reserved for quarterly earnings. One model is up two points on MMLU, another is slightly better at reasoning, a third is cheaper, smaller, faster, and therefore apparently ready to run your compliance workflow by Tuesday. ...
Opening — Why this matters now The game industry has flirted with large language models long enough to know the problem: they are eloquent, expensive, unreliable roommates. They forget the rules of your world, insist on internet access, and send your cloud bill straight into the end‑credits. This paper arrives with a blunt counterproposal: stop trying to cram narrative intelligence into giant, generalist LLMs. Instead, carve intelligence into small, specialized, aggressively fine‑tuned models that live locally, obey the game loop, and shut up when they’re not needed. ...