I've bar raised a ton of them. You do end up figuring out what actions by what operator caused what issues or didn't work well, but that's to diagnose what controls/processes/tools/metrics were missing. I always removed the actual people's name as part of the bar raising, well before publishing, usually before any manager sees it. Instead used Oncall 1, or Oncall for X team, Manager for X team. And that's mainly for the timeline.
As a sibling said you were likely in a bad or or one that was using COEs punatively.
In the article's case, there's evidence of actual malice, though-- sabotaging only large jobs, over a month's time.
All I got from the linked article was
> TikTok owner, ByteDance, says it has sacked an intern for "maliciously interfering" with the training of one of its artificial intelligence (AI) models.
Are there other links with additional info?
A lot of the original social media sources have been pulled, but this is what was alleged on social media:
https://juejin.cn/post/7426926600422637594
https://github.com/JusticeFighterDance/JusticeFighter110
https://x.com/0xKyon/status/1847529300163252474
Thanks. Google translate off the first link:
> He exploited the vulnerability of huggingface's load ckpt function to inject code, dynamically modifying other people's optimizer to randomly sleep for a short period of time, and modifying the direction of parameter shaving. He also added a condition that only tasks with more than 256 cards would trigger this condition.
Okay yeah that's malicious and totally a crime. "modifying the direction of parameter shaving" means he subtly corrupted his co-workers work. that's wild!
Some of the sources say that he sat in the incident meetings during troubleshooting and adjusted his attacks to avoid detection, too.
Wonder what the underlying motive was? Seems like a super weird thing to do.
Could be just so his work looked better in comparison. Or something more sinister, like being paid to slow progress.
LMAO that's just diabolical. Wonder what motivated them.
"parameter shaving" (参数剃度) is, by the way, a typo for "parameter gradient" (参数梯度), 梯度 being the gradient and 剃度 being a tonsure.
Whats bar raising in this context?
Usually I hear it in the context of a person outside the team added to an interview panel, to help ensure that the hiring team is adhering to company-wide hiring standards, not the team's own standards, where they may differ.
But in this case I'm guessing their incident analysis teams also get an unrelated person added to them, in order to have an outside perspective? Seems confusing to overload the term like that, if that's the case.
They are the same role different specialties. Like saying SDE for ML or for Distributed Systems or Clients.
you can usually guess from context but what you say is "we need a bar raiser for this hiring loop" or "get a bar raiser for this COE" or "get a bar raiser for the UI", there are qualified bar raisers for each setting.
https://www.aboutamazon.co.uk/news/working-at-amazon/what-is...
Bar raisers for COE are those who review the document for detail, resolution, detailed root cause and a clear set of action items to prioritize which will eliminate or reduce chance or reoccurrence.
It’s a person with experience.
As I recall the coe tool “automated reviewer” checks cover this. It should flag any content that looks like a person (or customer name) before the author submits it.