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

Marcus goes gaga over Gates clip

We recorded 5 claims from this post. 1 was checked against evidence. 4 can’t be checked. 3 more are 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

    Causal claim

    “Not unrelatedly, meanwhile, many tech leaders have discovered that the best way to raise valuations is to hint that AGI is imminent, always on the dubious premise that scaling will keep going indefinitely; it behooves them financially to pretend.”

    Our reading: Many tech leaders hint that AGI is imminent in order to raise valuations, relying on the dubious premise that scaling continues indefinitely.

    No horizon

  2. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “I fully 100% agree, and have said as much before.”

    Our reading: Marcus fully agrees with Gates that, after perhaps two more turns of the crank for scaling, scaling is not the most interesting dimension and AI needs techniques such as metacognition, and says he has said as much before.

    No horizon

    Qualifier: after that (after perhaps two more turns of scaling)

  3. Assessment: Can’t be checkedSaid

    Forecast

    “Spending upwards of 100 billion dollars on the current approach, which is what two more iterations of scaling would likely require, given that is unlikely to get to AGI (or ever be reliable) seems wasteful to me.”

    Our reading: The current scaling approach is unlikely ever to reach AGI or become reliable.

    No horizon

  4. Assessment: Can’t be checkedSaid

    Forecast

    “Spending upwards of 100 billion dollars on the current approach, which is what two more iterations of scaling would likely require, given that is unlikely to get to AGI (or ever be reliable) seems wasteful to me.”

    Our reading: Two more iterations of scaling would likely require upwards of $100 billion in spending.

    No horizon

  5. Assessment: UnresolvedSaid

    Forecast

    “Neurosymbolic AI has long been an underdog; in the end I expect it to come from behind and be essential.”

    Our reading: Neurosymbolic AI will eventually come from behind and become essential.

    No deadline stated Evidence as of

    Limitation: The intended destination and meaning of essential require interpretation.

Held from this post (3)

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