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Think Wide, Then Think Hard: Forcing LLMs to Be Creative (On Purpose)

Opening — Why this matters now Large language models are prolific. Unfortunately, they are also boring in a very specific way. Give an LLM a constrained task—generate a programming problem, write a quiz, design an exercise—and it will reliably produce something correct, polite, and eerily similar to everything it has produced before. Change the temperature, swap the model, even rotate personas, and the output still clusters around the same conceptual center. ...

December 30, 2025 · 4 min · Zelina
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Remix, Don't Rebuild: How Zero-Shot AI Is Rewriting Music Editing

Opening — Why this matters now AI has already learned to compose music from scratch. But in the real world, musicians don’t start with silence—they start with a song. Editing, remixing, and reshaping sound are the true engines of creativity. Until recently, generative AI systems have failed to capture that nuance: they could dream up melodies, but not fine-tune a live jazz riff or turn a piano solo into an electric guitar line. ...

November 8, 2025 · 4 min · Zelina