On Thu, Jul 02, 2026 at 12:11:20PM -0400, Chuck Lever wrote: > > > On Thu, Jul 2, 2026, at 10:32 AM, Jeff Layton wrote: > > We've had this requirement in place in the Documentation for several > > months, but it's becoming clear that the signal to noise ratio from this > > is quite low. > > > > 1/ It's not universally followed. While many people do try to attribute > > the LLMs in good faith, not everyone does for various reasons. > > > > 2/ It basically serves as free advertising for proprietary LLM companies. > > > > 3/ It's not clear why we want to collect this info in the first place. > > > > Given that the data this provides is flawed at best and is being > > collected for a purpose that isn't clear, let's just kill the > > requirement for these tags from the kernel at large. > > > > Signed-off-by: Jeff Layton <[email protected]> > > --- > > Christian had proposed watering down the LLM attribution, but I think > > it's not productive to try and track this until we have a clearer sense > > of what we want to do with this information and how to make it more > > reliable. > > I agree that the current tagging system is flawed and almost useless > for real analysis -- self-reporting and a nebulous definition of what > "LLM was used" actually means are red flags for any data scientist. > > I don't have a stand on whether the tagging should be removed or fixed. > But today I ignore it (my 2-cents US) for these reasons.
Oh no doubt they have highly dubious value as _data_. But they are useful for practical purposes :) i.e. 'ok I can talk about the LLM-ness here without it being quite so aggressive to do so because it's admitted'. And also political value in that 'here is how you are supposed to do it' vs. <how you did it>. I think there's definite practical human stuff that they provide sufficient for there to be value here, and I've found that in practice also :) (Though of course it's far far from resolving how we deal with the unattributed stuff, which remains an ongoing issue!) > > -- > Chuck Lever Cheers, Lorenzo
