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Good luck debugging and fixing the multitude of errors introduced by your LLM. ESPECIALLY if you're outputting some low-level assembler or machine code. At least when we have our AI outputting Java/Typescript/Python/etc, it's easy (for a programmer) to see where it's run afoul.


I have every confidence that even current generation state-of-the-art artificial intelligence will have far superior facilities at debugging and managing the complexity of even its own bare metal programming output than humans.

Why? Consider Gemini's recent performance at the International Collegiate Programming Contest [0], in which it solved a problem that no other human team was able to solve.

Wetware intelligence is itself obsolete, at least as concerns the domain of computing.

[0] https://deepmind.google/discover/blog/gemini-achieves-gold-l...


> solved a problem that no other human team was able to solve.

That problem: https://worldfinals.icpc.global/problems/2025/finals/problem...




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