No Credit to LLM
| Source: HN | Original article
Creators should take full credit for their work, regardless of outcome.
The notion of crediting Large Language Models (LLMs) for creative work has been a topic of discussion. As Isaac Su suggests, when creating something remarkable or profound, one should take complete credit for it, rather than attributing it to the LLM. This mindset is essential in acknowledging human responsibility and agency in the creative process.
This perspective matters because it highlights the importance of human ownership and accountability in AI-generated content. While LLMs can be powerful tools, they are ultimately instruments created and controlled by humans. By taking credit for their work, individuals can learn from their mistakes and improve their craft.
As the use of LLMs becomes more widespread, it will be interesting to watch how the concept of credit and ownership evolves. With the availability of free LLM APIs and models, such as those listed on free-model.com and freellm.net, developers and creators have more opportunities to experiment and innovate. However, it is crucial to remember that the value of their work lies in their own skills and efforts, rather than just the tools they use.
Sources
Back to AIPULSEN