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jmclnx 19 hours ago [-]
I need to get around and upgrade an old mini-tower with an AMD-586 w/512MB memory from 9.3 to 11.0, I may wait for 11.1.
soupbowl 11 hours ago [-]
What do you use that low spec machine for?
jmclnx 10 hours ago [-]
It is a backup machine for important files. Plus testing items I develop to see how they run in limited environments.
0dayz 9 hours ago [-]
Just wondering how does that fair over a vm or container that has similar limitations?
soupbowl 10 hours ago [-]
Cool, was just curious.
3qajsh17 18 hours ago [-]
[flagged]
emidln 16 hours ago [-]
If you think you can identify frontier model-generated planned and reviewed c/c++ from human-generated planned and reviewed c/c++, I've got some bad news for you.
The "no slop" policy is the same as it ever was: garbage has to make it through patch code review. If an LLM wrote it rather than a human and it passes patch review, it's fine. Rejecting features or fixes because a probabilistic algorithm said "should look like this" feels a lot like rejecting c/c++ because you read Intel's docs and have a hex editor.
Edit: s/like like/look like/
a31ahg 16 hours ago [-]
We should also abolish all laws that forbid dumping garbage on the side of the road because it is really hard to catch and prosecute the perpetrators!
Let us just allow it!
sigseg1v 15 hours ago [-]
Totally inaccurate comparison. Garbage dumped on the side of the road is still garbage. It's more like if someone dumped lab-grown diamonds on the side of the road that are virtually indistinguishable from mined diamonds. Someone would be happy to take them and none the wiser.
AdieuToLogic 9 hours ago [-]
> It's more like if someone dumped lab-grown diamonds on the side of the road that are virtually indistinguishable from mined diamonds.
Equating LLM generated code to "lab-grown diamonds" is disingenuous at best.
> Someone would be happy to take them and [be] none the wiser.
If the quality of GenAI PRs were equivalent to those authored by experienced contributors, then there would not be as many GenAI PR bans in FOSS operating system repositories.
emidln 9 hours ago [-]
The quality of GenAI PRs scales with the driver. Many are low-effort, ill-considered, overly verbose and otherwise bad. I've seen decades of similar patches/PRs from humans.
If it "looks like claude" in that it's overly verbose (in code or comments), missing tests, etc then it should be rejected for lack of merits. If the only indication is "this user fixed 10 bugs in an hour" and the PRs are otherwise fine on the merits, rejecting the PRs because an LLM wrote them is the same as rejecting them because you know they're from an emacs user.
lelanthran 5 hours ago [-]
The problem is "This user submits in 60 minutes enough PRs to keep us busy for a week".
You don't know that they are low effort PRs until you expend time and energy, while in the meantime more important PRs might be in the queue that can potentially never get seen if the submitter decides to keep that rate up for a week.
The project will die before you get to other's PRs decades later.
The answer might be to RR reviews from submitters and not treat PRs as first come first served.
That way other submitters don't have their PRs blocked.
AdieuToLogic 7 hours ago [-]
Like many things in complex projects such as operating systems, accepting PRs is not as simple as "if this one use of a tool works, why not accept it?"
Why? Because the onus of determining fitness of purpose and correctness has to be done by someone. So if a PR is buggy and/or lacking in test coverage, but was made by a contributor making an honest effort, then experienced contributors can help educate the person as to what is missing or needs to be considered. Ultimately, this is a form of apprenticeship.
Contrast that with someone using an LLM to produce the exact same PR. Who can be mentored? Who can be referred to materials which can deepen requisite knowledge?
The "no slop" policy is the same as it ever was: garbage has to make it through patch code review. If an LLM wrote it rather than a human and it passes patch review, it's fine. Rejecting features or fixes because a probabilistic algorithm said "should look like this" feels a lot like rejecting c/c++ because you read Intel's docs and have a hex editor.
Edit: s/like like/look like/
Let us just allow it!
Equating LLM generated code to "lab-grown diamonds" is disingenuous at best.
> Someone would be happy to take them and [be] none the wiser.
If the quality of GenAI PRs were equivalent to those authored by experienced contributors, then there would not be as many GenAI PR bans in FOSS operating system repositories.
If it "looks like claude" in that it's overly verbose (in code or comments), missing tests, etc then it should be rejected for lack of merits. If the only indication is "this user fixed 10 bugs in an hour" and the PRs are otherwise fine on the merits, rejecting the PRs because an LLM wrote them is the same as rejecting them because you know they're from an emacs user.
You don't know that they are low effort PRs until you expend time and energy, while in the meantime more important PRs might be in the queue that can potentially never get seen if the submitter decides to keep that rate up for a week.
The project will die before you get to other's PRs decades later.
The answer might be to RR reviews from submitters and not treat PRs as first come first served.
That way other submitters don't have their PRs blocked.
Why? Because the onus of determining fitness of purpose and correctness has to be done by someone. So if a PR is buggy and/or lacking in test coverage, but was made by a contributor making an honest effort, then experienced contributors can help educate the person as to what is missing or needs to be considered. Ultimately, this is a form of apprenticeship.
Contrast that with someone using an LLM to produce the exact same PR. Who can be mentored? Who can be referred to materials which can deepen requisite knowledge?