4 ms·

It's an interesting idea, but why is this written so weirdly? "the users of LLM code generation services are actually the developers that are most vulnerable t

It's an interesting idea, but why is this written so weirdly? "the users of LLM code generation services are actually the developers that are most vulnerable to these code that seems right -- They are always novice developers that are not familiar with the APIs that LLMs generate code for them" It looks like they could've benefited from an LLM doing a pass-over. Are they saying it's only "novice developers" using LLMs?

jprete 3y ago
I think the author is simply weak at English, although there are some typos that really should have been corrected even in non-idiomatic English (e.g. missing spaces between words). Really, as long as the premise, evidence, and results are clear and reproducible, the quality of the English doesn’t much matter.
- dools 3y ago
  The claim “They are always novice developers that are not familiar with the APIs that LLMs generate code for them” seems pretty outlandish to me.
- robwwilliams 3y ago
  Writing is code too. Writing English well does matter if you want to have your work read.
dools 3y ago
Yeah that statement seemed very strange to me too. I’ve been writing software for 20 years and I use ChatGPT4 everyday because it’s faster to edit and debug some code with a LLM than it is to write it all from scratch
sen 3y ago
Just looks to me like the people who wrote this don’t speak English as a first language? It’s not difficult to parse what they meant to say. Most of the users who are likely to turn to LLMs to help them code, are people who aren’t very experienced programmers. Hence needing help. These same people are more likely to fall for mistakes in the generated code as they don’t have enough experience to notice the errors. LLMs are very good at sounding confidently correct about things that are subtly wrong. You need experience in the domain to notice these issues usually.

jprete 3y ago

I think the author is simply weak at English, although there are some typos that really should have been corrected even in non-idiomatic English (e.g. missing spaces between words). Really, as long as the premise, evidence, and results are clear and reproducible, the quality of the English doesn’t much matter.

dools 3y ago
The claim “They are always novice developers that are not familiar with the APIs that LLMs generate code for them” seems pretty outlandish to me.
robwwilliams 3y ago
Writing is code too. Writing English well does matter if you want to have your work read.

dools 3y ago

Yeah that statement seemed very strange to me too. I’ve been writing software for 20 years and I use ChatGPT4 everyday because it’s faster to edit and debug some code with a LLM than it is to write it all from scratch

sen 3y ago

Just looks to me like the people who wrote this don’t speak English as a first language? It’s not difficult to parse what they meant to say. Most of the users who are likely to turn to LLMs to help them code, are people who aren’t very experienced programmers. Hence needing help. These same people are more likely to fall for mistakes in the generated code as they don’t have enough experience to notice the errors. LLMs are very good at sounding confidently correct about things that are subtly wrong. You need experience in the domain to notice these issues usually.