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

ChatGPT has gone berserk

We recorded 8 claims from this post. 2 were checked against evidence. 6 can’t be checked. 1 more is held. Read the post at its source.

Claims from this post (8)

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: SupportedSaid

    Observation

    “Over the last few hours, people reporting having been report a variety of problems with ChatGPT:”

    Our reading: Over the last few hours before the post, people reported a variety of problems with ChatGPT.

    No horizon Evidence as of

    Limitation: The evidence establishes reports, not the prevalence of malfunctions across users.

  2. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “But I will quote something I said two weeks ago: “Please, developers and military personnel, don’t let your chatbots grow up to generals.””

    Our reading: Developers and military personnel should not let their chatbots grow up to be generals.

    No horizon

  3. Assessment: Can’t be checkedSaid

    Rhetoric

    “In the end, Generative AI is a kind of alchemy.”

    Our reading: In the end, generative AI is a kind of alchemy.

    No horizon

    Qualifier: in the end

  4. Assessment: UnresolvedSaid

    Observation

    “The reality, though is that these systems have never been been stable.”

    Our reading: Generative AI systems have never been stable.

    No horizon Evidence as of

    Limitation: Stable has an ordinary meaning, but its boundary is not specified.

  5. Assessment: Can’t be checkedSaid

    Rhetoric

    “We are still living in the age of machine learning alchemy that xkcd captured so well in a cartoon several years ago:”

    Our reading: We are still living in the age of machine learning alchemy that an xkcd cartoon captured several years ago.

    No horizon

    Qualifier: still

  6. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “The need for altogether different technologies that are less opaque, more interpretable, more maintanable, and more debuggable — and hence more tractable—remains paramount.”

    Our reading: It is of paramount importance to develop altogether different AI technologies that are less opaque, more interpretable, maintainable, and debuggable than generative AI.

    No horizon

  7. Assessment: Can’t be checkedSaid

    Forecast

    “Today’s issue may well be fixed quickly, but I hope it will be seen as the wakeup call that it is.”

    Our reading: The ChatGPT malfunction of February 2024 may well be fixed quickly.

    No horizon

  8. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Today’s issue may well be fixed quickly, but I hope it will be seen as the wakeup call that it is.”

    Our reading: The ChatGPT malfunction is a genuine wakeup call about the instability of generative AI and should be treated as one.

    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 criteria are ambiguous. Our reading, not assessed: No one has ever been able to engineer safety guarantees for generative AI systems.