The thing is that they rigorously review their code internally with In the project. It needs to be reviewed and cleaned up before it gets submitted. Someone who keeps posting junk is gonna get chewed out and ignored. So, the biggest issue with LLM code is kind of irrelevant. If someone useses it responsibly and finds a way to make it an effective tool, they’re not worried about it. Banning its use is kind of pointless since the worst outcomes are already banned.
As I understand, they don’t use it to generate code, but for scanning code for bugs. This is relevant as there are now many CVEs found by AI scanning tools.
Fun fact: Based on estimates of the value of the Linux kernel (around 2200 Million Euros in 2011), the size of the kernel (in 2011, version 2.6 was current, with a bit less than 20 million lines of code), abd average salary of kernel developers (for Germany, one could estimate 60,000 - 80,000 EUR/year), one can estimate the lines of new code that a full-time kernel developer produces - less than 1000 lines per year:
Even if AI could reduce time to type in that code to zero, it would not speed up kernel development, since developers are 99% of the time doing something different than typing in code - determining what new code should do, organizing and structuring concepts, or fixing bugs (which is determining what existing code should do, determining what it actually does, and determining how to fix differences between the former and the latter).
The thing is that they rigorously review their code internally with In the project. It needs to be reviewed and cleaned up before it gets submitted. Someone who keeps posting junk is gonna get chewed out and ignored. So, the biggest issue with LLM code is kind of irrelevant. If someone useses it responsibly and finds a way to make it an effective tool, they’re not worried about it. Banning its use is kind of pointless since the worst outcomes are already banned.
As I understand, they don’t use it to generate code, but for scanning code for bugs. This is relevant as there are now many CVEs found by AI scanning tools.
Fun fact: Based on estimates of the value of the Linux kernel (around 2200 Million Euros in 2011), the size of the kernel (in 2011, version 2.6 was current, with a bit less than 20 million lines of code), abd average salary of kernel developers (for Germany, one could estimate 60,000 - 80,000 EUR/year), one can estimate the lines of new code that a full-time kernel developer produces - less than 1000 lines per year:
I get to 545 lines per person-year that way.
Even if AI could reduce time to type in that code to zero, it would not speed up kernel development, since developers are 99% of the time doing something different than typing in code - determining what new code should do, organizing and structuring concepts, or fixing bugs (which is determining what existing code should do, determining what it actually does, and determining how to fix differences between the former and the latter).