For now…
We stopped AI bot spam in our GitHub repo using Git's –author flag
21–30 of 254 posts
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#22Makes me wonder if an ELO-based system would work to mitigate these issues. People who merged PR successfully onto a project, that had real issues acknowledged, the quality of their responses measured by other users reactions or something, etc, multiplied possibly by the degree of importance of the project where their activity has been made. Won't be about human vs AI, but actual helpful effective being vs low effort…
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#23This has a security implication which is overlooked. Contributors to a repository have higher rights, such as avoiding approval requirements for fork PR runs. GitHub warns in the docs: > When requiring approvals only for first-time contributors (the first two settings), a user that has had any commit or pull request merged into the repository will not require approval. A malicious user could meet this requirement by…
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#24Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#25> Should we stop giving fun test tasks to our job candidates? Yes
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#26Makes me wonder if an ELO-based system would work to mitigate these issues. People who merged PR successfully onto a project, that had real issues acknowledged, the quality of their responses measured by other users reactions or something, etc, multiplied possibly by the degree of importance of the project where their activity has been made. Won't be about human vs AI, but actual helpful effective being vs low effort…
Frontier users: 527,865 Light indexed: 527,865 Ready to queue: 9,083 Fast scores ready: 0 Activity events 24h: 30,266 Fast scores completed 24h: 19,123 Deep jobs completed 24h: 3,043 Fast-score ETA: n/a Deep-hydrate ETA: 69h Stale running jobs: 0 GitHub backpressure jobs: 19,113 High automation signals: 4,608 Medium automation signals: 1,327 Completed jobs: 74,714
Biggest challenge is Github's rate limits. At this pace it will take two more months to have 98% coverage. But after that the maintenance should be quite straight forward.
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#27Makes me wonder if an ELO-based system would work to mitigate these issues. People who merged PR successfully onto a project, that had real issues acknowledged, the quality of their responses measured by other users reactions or something, etc, multiplied possibly by the degree of importance of the project where their activity has been made. Won't be about human vs AI, but actual helpful effective being vs low effort…
Given any manipulatable scheme, AI will figure out how to manipulate it. For the OP, what happens if a single AI manages to get through to contributor? Then it starts elevating other AIs to contributor, and we're off again. There doesn't have to be a purpose to this. Trolls will troll, and trolls armed with AI bots can devote endless energy to doing so. The more you work to keep them out, the more fun it becomes for them.
I wish I had an answer for that problem. But I don't.
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#28PR spam is a major problems for repo that run bounties. Maybe GitHub should temporarily block accounts from raising PRs if like 95%+ of them are getting rejected.
A similar system would be nice for issues, though I'm not sure what it'd look like if issues are the springboard for contributing PRs.
Not likely to ever happen (as others said), GitHub/MS want to sell CoPilot subscriptions/tokens and LLM-generated PRs are a part of that business model.
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#29The irony of the .ai domain.
Re: We stopped AI bot spam in our GitHub repo using Git's –author flag
#30Makes me wonder if an ELO-based system would work to mitigate these issues. People who merged PR successfully onto a project, that had real issues acknowledged, the quality of their responses measured by other users reactions or something, etc, multiplied possibly by the degree of importance of the project where their activity has been made. Won't be about human vs AI, but actual helpful effective being vs low effort…