Gary Marcus

Rank 13 of 47
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Score 83

The statement is part of a broader discussion on transparency and accuracy in reporting performance gains in machine learning models. It questions the clarity and transparency of the reported gains, suggesting that while there may be genuine improvements, the lack of transparency makes it difficult to assess the true extent of these gains.

  1. Principle 1:
    I will strive to do no harm with my words and actions.
    The statement does not use harmful language and maintains a neutral tone, focusing on the need for clarity and transparency. [+1]
  2. Principle 3:
    I will use my words and actions to promote understanding, empathy, and compassion.
    The statement promotes understanding by highlighting the need for transparency, which is crucial for informed discussions and assessments. [+1]
  3. 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.
    The statement engages in constructive criticism by questioning the transparency of the reported gains without resorting to personal attacks. [+1]
  4. Principle 7:
    I will uphold the principles of free speech and use my platform responsibly and with integrity.
    The statement upholds free speech by responsibly questioning the transparency of the information presented, contributing to a more informed public discourse. [+1]