The statement addresses the challenges of conducting scientific research on large language models (LLMs), touching on issues such as lack of access to training data, model structures, and the constant updates to these systems. It also mentions the problem of training models to benchmarks, which can skew results. This constitutes public discourse as it engages with substantive issues in the field of artificial intelligence and machine learning, which are of public concern.
- The statement does not cause harm and is focused on discussing the challenges in a factual manner. It adheres to this principle. [+1]Principle 1:I will strive to do no harm with my words and actions.
- The statement aims to promote understanding of the difficulties in researching LLMs, which aligns with promoting empathy and compassion for researchers in the field. [+1]Principle 3:I will use my words and actions to promote understanding, empathy, and compassion.
- The statement engages in constructive criticism of the current state of research on LLMs without resorting to personal attacks or ad hominem arguments. [+1]Principle 4:I will engage in constructive criticism and dialogue with those in disagreement and will not engage in personal attacks or ad hominem arguments.
- By highlighting the challenges in researching LLMs, the statement uses its influence to potentially advocate for better practices and transparency, contributing to the betterment of society. [+1]Principle 6:I will use my influence for the betterment of society.
- The statement upholds the principles of free speech and uses the platform responsibly to discuss important issues in AI research. [+1]Principle 7:I will uphold the principles of free speech and use my platform responsibly and with integrity.