Extracting Memorized Training Data via Decomposition — mentioned by dithered_djinn

Sat, 22 Mar 2025 16:35:05 GMT

That might indeed apply to open source software. If we instead adopt the view of free software (https://www.gnu.org/philosophy/open-source-misses-the-point....), the fact that OpenAI and other large corporations train their large-language models behind closed doors - with no disclosure of their training corpus - effectively represents the biggest attack on GPL-licensed code to date. No evidence suggests that OpenAI and others exclude GPL-licensed repositories from their training sets. And nothing prevents the incorporation of GPL-licensed code into proprietary codebases. Note that a few…

Paper and discussion history. A mention is not an endorsement.

Extracting Memorized Training Data via Decomposition — HN submission

Thu, 26 Sep 2024 06:06:20 GMT

Extracting Memorized Training Data via Decomposition

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Extracting Memorized Training Data via Decomposition · HackerPapers discussions

Extracting Memorized Training Data via Decomposition — mentioned by dithered_djinn

Extracting Memorized Training Data via Decomposition — HN submission