Serious question, my issue with AI coding assistants and basic logic

I've been using AI coding helpers for some projects. They can generate long code blocks but often get simple things wrong. Last week, I needed a function to sort a list, and it added weird conditions that made no sense. It's confusing because these tools are built on huge data sets. Why are companies pushing for bigger models when the core reasoning is still weak? I read about new AI releases, and they all hype scale over smarts. From my work, this gap is real and slows things down. What gives with the focus on size instead of fixing basic logic errors?

3 comments

3 Comments

the_hannah1mo ago

It's frustrating when AI tools mess up simple tasks like sorting a list. Companies probably chase bigger models because they look better in headlines and attract funding. The real issue is that these AI systems lack common sense, which isn't fixed by just adding more data. I've seen AI make things harder by adding stuff that isn't needed. This focus on scale means basic errors get missed, and coders waste time fixing simple code. Until they focus on logic over raw size, these tools will keep being hit or miss.

jordan_young1mo ago

Man, that reminds me of when I tried using a smart home app to set up a simple timer. It kept adding random rules for daylight saving time even though I just wanted lights on at sunset. The app was updated with all these new features, but it couldn't get the basic schedule right. I spent hours fixing what should have been a two-minute setup.

adams.beth1mo ago

Oh I totally get that! I read an article last week about how apps keep adding stuff no one asks for and then the simple stuff breaks. It's like they're so busy trying to be fancy they forget why people use them in the first place. Your story about the sunset timer is the perfect example of that. Makes me want to go back to a plain old light switch sometimes!