Re: It is unclear.. what problem the video was intended to fix
I expect the problem the video is intended to fix is to help stop the flood of bogus AI generated "bug reports" which are flooding everyone with prominent projects.
People running AI systems are running their LLMs over projects and creating automated bug reports about non-existent problems. These AI systems can generate very plausible sounding reports which someone must spend considerable time investigating before finding out that the "bug" being reported does not exist. The people responsible for these AI bug systems are not checking their output before they send them in, they are just running the software in auto mode and firing off large volumes of whatever comes out.
A video would be a barrier to these sorts of reports because there is as yet no publicly available compendium of video bug reports which people can use to train their AI systems on to generate new ones.
Basically, the video requirement is a sort of spam filter, with AI generated bug reports being viewed as little more than spam in terms of their usefulness.
As to why people are creating these AI generated bug reports, I suspect that at least some of them targeting open source projects (I don't know the situation is for Microsoft) are using them to fine tune their AI models for use as coding assistants. A bug report is an ideal means of training. A known AI generated report is turned into a precisely known output in terms of code. You then feed that back into the model as very high quality training data and continue in a never ending feedback loop. False reports get rejected, and those rejections are also feed back into the model. If the overwhelming majority of reports are bogus, that doesn't matter because a negative report is also useful data to be fed into the model.
If the people behind the AI model had to do this themselves it would cost a lot of money to hire people to review AI output, see if they are real bugs, provide fixes to feed into the model, and turn them into training data. However, by using public bug reporting systems all of the very expensive labour for this is provided free of charge to the AI company. The costs are borne entirely by the people running the bug reporting system, who get flooded with huge volumes of AI generated reports they have to spend an inordinate amount of time sifting through before they can reject them.
This is one of the "benefits" of AI which society is having to deal with these days. Just like spam email became ubiquitous because of the low cost of sending out automated emails, many, many, other forms of communication will in future suffer the same fate due to AI, and bug reports are a form of communication. It's simple economics.