LLM authorship credit really bundles tracing, attribution and ownership
voooooogel · x · 2026-07-28
This thread argues that LLM authorship credit bundles several different goals that people often conflate.
- Tracing: preserving a historical record of how something was made, useful for replication or auditing.
- Credit / attribution: deciding when a model meaningfully contributed enough to deserve acknowledgment.
- Authorship as ownership: the more controversial idea that an AI can be a co-author in a human sense.
The author says they have been thinking about this since discussions around Claude Code’s co-authored-by commit strings, and that the key is to separate the practical value of tracing from the philosophical question of authorship.
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