Gary Marcus

Rank 17 of 47
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Score 65
1/4/2025, 2:13:47 PM
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In reply to:
Haider.
@slow_developer
·
323d
@GaryMarcus with due respect gary, there can be proprietary considerations, privacy concerns, or simply the sheer complexity of the dataset that makes complete transparency challenging... does that mean we should automatically discount any results we see?
Gary Marcus
@GaryMarcus
·
323d
@slow_developer You really can’t know that from a demo, especially when you don’t know what synthetic data o3 (vs o1 vs GPT-4) was trained on, and when no strong, direct test of generalization was presented.
Haider.
@slow_developer
·
324d
the jump from openAI o1 to o3 was so big that it makes predictions practically impossible.

predicting future benchmarks based on trends can make our ideas seem unrealistic or extreme.

agree?

The statement engages in a discussion about the transparency and generalization capabilities of AI models, specifically OpenAI's models. It addresses concerns about proprietary data and the challenges of assessing AI performance without full transparency, thus contributing to public discourse on AI ethics and transparency.

  1. Principle 1:
    I will strive to do no harm with my words and actions.
    The statement does not use harmful language and focuses on discussing technical aspects, adhering to the principle of doing no harm. [+1]
  2. Principle 3:
    I will use my words and actions to promote understanding, empathy, and compassion.
    The statement promotes understanding by referencing studies and providing examples, which helps clarify the discussion. [+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 dialogue by addressing the points made by others 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 discussing the implications of AI transparency and generalization. [+1]