2 months ago
- Peers are disclosing LLM usage for tasks like answering queries or writing documents, which the author finds odd.
- Possible reasons for disclosure include giving credit, showcasing impressive results, avoiding responsibility for errors, or complying with mandates.
- The author argues that tools cannot be credited or held accountable; humans should take full credit and responsibility for their work.
- Taking complete ownership—both for successes and failures—is key to creating valuable work, regardless of AI involvement.