Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

Open-source is NOT the same as open-weight

We recorded 5 claims from this post. 5 can’t be checked. 1 more is held. Read the post at its source.

Claims from this post (5)

In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.

  1. Assessment: Can’t be checkedSaid

    Rhetoric

    “If pigeons are “just rats with better PR”, open-weights is open-source with all the good press but far fewer advantages.”

    Our reading: Like pigeons being 'just rats with better PR', open-weight is open-source with all the good press but far fewer advantages.

    No horizon

  2. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “All this makes a world of difference, to developers who might use the systems, to regulators, to scientists, and ultimately to the world.”

    Our reading: The difference between open-weight and open-source makes a world of difference to developers who might use the systems, to regulators, to scientists, and ultimately to the world.

    No horizon

  3. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Want to investigate how much of what the model does is regurgitation and how much extends beyond the training data, which is arguably the central question in AI?”

    Our reading: How much of what a model does is regurgitation versus how much extends beyond its training data is arguably the central question in AI.

    No horizon

    Qualifier: arguably

  4. Assessment: Can’t be checkedSaid

    Causal claim

    “Furthermore, if you wanted to know how much of the training data was copyrighted, you can’t look at that either — which is perhaps part of why none of the big companies want to release true open-source, and instead settle for open-weight, getting nearly all of the positive press without actually helping the community nearly as much.”

    Our reading: Not being able to see how much of the training data was copyrighted is perhaps part of why none of the big companies want to release true open-source and instead settle for open-weight, getting nearly all of the positive press without helping the community nearly as much.

    No horizon

    Qualifier: perhaps part of why

  5. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “I implore them, and everyone else, for the love of Turing, please don’t confuse open-weight with open-source.”

    Our reading: The media and everyone else should not confuse open-weight models with open-source models.

    No horizon

Held from this post (1)

These records did not pass every check, so nothing about them is published. Held is not a finding.

  • The two reviews reached different assessments. Our reading, not assessed: Zuckerberg released a model that is not open-source, hoping people wouldn't notice the difference between open-weight and open-source, and the New York Times didn't notice it.