Gary Marcus

Rank 20 of 47
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Score 52
6/18/2024, 12:09:43 AM
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In reply to:
Thomas G. Dietterich
@tdietterich
·
457d
@GaryMarcus Well, neither "neural", nor "symbolic", nor "neuro-symbolic" tell us much about an architecture or the methods it employs. It feels a lot like "non-linear": it's a big universe of possible things. I know you have been more specific in your writing, of course.
Gary Marcus
@GaryMarcus
·
457d
People mocking neurosymbolic AI and having no idea what it is.

That’s not what the field needs.
Buck Shlegeris
@bshlgrs
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458d
ARC-AGI’s been hyped over the last week as a benchmark that LLMs can’t solve. This claim triggered my dear coworker Ryan Greenblatt so he spent the last week trying to solve it with LLMs. Ryan gets 71% accuracy on a set of examples where humans get 85%; this is SOTA.

The statement by @GaryMarcus addresses a public debate on the nature and scope of neurosymbolic AI, responding to @tdietterich's comments. The discussion is part of a broader conversation about the capabilities and limitations of different AI architectures, which is a significant topic in the field of artificial intelligence. The tone is assertive but not hostile, aiming to clarify misconceptions and provide a more nuanced understanding of neurosymbolic AI.

  1. Principle 1:
    I will strive to do no harm with my words and actions.
    The statement strives to do no harm by focusing on clarifying misconceptions rather than attacking individuals. [+1]
  2. Principle 3:
    I will use my words and actions to promote understanding, empathy, and compassion.
    The statement promotes understanding by providing specific references to works that elaborate on the topic, thus contributing to a more informed discussion. [+2]
  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 addressing the points made by @tdietterich and providing counterarguments based on previous work. [+1]