A software engineer taught AI to hunt bugs by interfacing an LLM with debugging tools and has released the open source code – “It’s like going from hunting with a stone spear to using a guided missile,”

by lucky
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A software engineer taught AI to hunt bugs by interfacing an LLM with debugging tools and has released the open source code – “It’s like going from hunting with a stone spear to using a guided missile,”

AI -tech is an incredibly controversial place in the world, but the reason is that everything involved is misused. All of this starts with names, artificial intelligence or AI, because in today’s landscape we do not call AI anything. These are not intelligence, artificial or otherwise.

Generally, they are the language models that are trained in large data sets that look at samples and predict the next steps. In this way, they are terrifying on many things we use for them and will not just stop hallowing, but when putting it on the right thing, they can be useful tools. Windows debugging and analyzing crash data is a great example of the right job for AI.

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