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The field is already exploding in SLOC. If LLMs can generate 10x but only produce a 2x productivity boost in reasoning or understanding - each year -then neithe
by glouwbug 11d ago
The field is already exploding in SLOC. If LLMs can generate 10x but only produce a 2x productivity boost in reasoning or understanding - each year -then neither humans or AI will be able to keep up with the mountains of slop that power everything from websites, telecom, banking, automotive, aerospace, industrial, medical, and renewables.
Guess we’ll need even more human software engineers to fix it.
- thunky 11d ago> Guess we’ll need even more human software engineers to fix it. This is what we've been doing for years before LLMs. Hiring a ton of devs to spit out code, which became another's burden. It just took longer and cost more.
- glouwbug 11d agoMajor critical software has always needed thousands of engineers to maintain million line codebases. LLMs can't reason across edge case failure modes, and better yet, LLMs generate compartmentalized modules which exponentially explodes the number of failure modes as LLM based codebases grow. Read how everyone here laments about Sol or Opus or GPT6 generates 10x the required number of lines
- thunky 11d ago> LLMs generate compartmentalized modules which exponentially explodes the number of failure modes It sounds like you're arguing against modularizing which is an unusual stance. Especially for a million line codebase.
- glouwbug 11d agohttps://wiki.c2.com/?RavioliCode https://wiki.c2.com/?RavioliCode