dailyai.report

Two years ago, gwern posted a comment warning that public writing footprints could backfire. He argued that LLMs trained on public corpora might value your work more than you expect. The article suggests dropping the public share and instead recording everything privately. Practitioners can then keep a personal archive that future models might still learn from, without risking public misuse.