🔒 Darwin-Gödel Machine: an artificial intelligence that rewrites itself

Imagine a machine that not only learns from its mistakes but can also modify its own digital brain — that is, its code — to become smarter, faster and more creative.

Until recently, it was just a fascinating theory, known among a select few as “Gödel’s Machines”. It was a kind of the Holy Grail of computer science: a hypothetical, perfect AI that could solve any problem optimally, and first mathematically prove the changes in its own code.

It was this very last “proof” requirement that turned out to be the Achilles’ heel of the whole concept. Because in practice, proving that a minor change in millions of lines of code will definitely bring improvement is almost an impossible task. For decades, the idea of a fully self-improving AI remained in the realm of dreams.

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Inżynier AI i architekt LLM z ponad dziewięcioletnim doświadczeniem w tworzeniu rozwiązań z zakresu modelowania, sztucznej inteligencji i inżynierii danych. Obecnie specjalizuje się w projektowaniu agentów AI i budowaniu zaawansowanych potoków ML. Doktorant SGH zajmujący się naukowo zagadnieniami wyjaśnialności modeli sztucznej inteligencji.

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