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

Eric Schmidt’s Risky Bet on AI and Climate Change

We recorded 16 claims from this post. 4 were checked against evidence. 12 can’t be checked. 2 more are held. Read the post at its source.

Claims from this post (16)

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

    Recommendation or value judgment

    “Schmidt needless to say has a large stake in the companies in building in AI, and I think we need to take those potential conflicts of interest seriously.”

    Our reading: Schmidt's large stake in AI companies creates potential conflicts of interest that should be taken seriously when weighing his views on AI and climate.

    No horizon

  2. Assessment: ContradictedSaid

    Observation

    “We have been told that AI will “solve physics” (per Sam Altman), make major breakthroughs in medicine, battery technology, etc, but so far none of that has materialized.”

    Our reading: None of the promised AI advances, such as 'solving physics' (per Sam Altman) or major breakthroughs in medicine and battery technology, has materialized so far.

    No horizon Evidence as of

    Limitation: The contradiction depends on including basic medical research within medicine; the evidence does not establish transformative clinical benefits [e1, e2].

  3. Assessment: UnresolvedSaid

    Observation

    “Almost every putative virtue of AI (aside from making a small number of people rich) has been promissory.”

    Our reading: Almost every claimed benefit of AI, other than enriching a few people, has so far been only a promise.

    No horizon Evidence as of

    Limitation: The search identified examples and a clinical review, not a representative survey of AI promises.

  4. Assessment: UnresolvedSaid

    Observation

    “Even though some of the drawbacks, which inherently are less dependent on reliably and tight causal reasoning, such as misinformation use, nonconsensual deepfake porn, ans deepfake kidnapping scams, are already here to say).”

    Our reading: Some of AI's drawbacks, which are inherently less dependent on reliable and tight causal reasoning, such as misinformation, nonconsensual deepfake porn, and deepfake kidnapping scams, are already here to stay.

    No horizon Evidence as of

    Limitation: Reported voice impersonation is not equivalent to forensic confirmation of AI use.

  5. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “One key assumption Schmidt makes is that AI will be eventually worth essentially arbitrary environmental costs. For now, this seems very premature.”

    Our reading: For now, Schmidt's assumption that AI will eventually be worth essentially arbitrary environmental costs seems very premature.

    No horizon

    Qualifier: for now

  6. Assessment: Can’t be checkedSaid

    Observation

    “All of the major potential virtues are quite speculative.”

    Our reading: All the major potential benefits of AI are quite speculative.

    No horizon Evidence as of

    Limitation: Evidence of research utility does not establish the eventual scale or net societal value of the potential benefits [e1].

  7. Assessment: Can’t be checkedSaid

    Observation

    “The case for techno-utopia , especially with current technology —which struggles with reasoning in open-ended domains, especially in rare situations with smaller amounts of specific data — is so far very abstract and vague.”

    Our reading: Current AI struggles with reasoning in open-ended domains, especially rare data-poor situations, and the case for techno-utopia is so far abstract and vague.

    No horizon

    Qualifier: especially in rare situations with smaller amounts of specific data

  8. Assessment: Can’t be checkedSaid

    Observation

    “The case that AI will do serious harm to the environment if we continue on the current path is actually much stronger.”

    Our reading: The case that AI will do serious harm to the environment if we continue on the current path is much stronger than the case for AI's putative benefits.

    No horizon

    Qualifier: if we continue on the current path

  9. Assessment: UnresolvedSaid

    Observation

    “Other forms of AI, that are more domain-specific and specialized might help; those aren’t actually the ones getting the massive funding – or doing the massive harm.”

    Our reading: Specialized, domain-specific AI might help with climate change, but it is not the kind getting massive funding or causing massive harm.

    No horizon Evidence as of

    Limitation: The annual target period is an explicit interpretation of an ongoing observation.

  10. Assessment: Can’t be checkedSaid

    Forecast

    “GenAI, which is consuming all the power, probably isn’t going to do a whole lot for addressing climate change, when it can’t even reason reliably about river crossing problems.”

    Our reading: GenAI, which is consuming all the power, probably isn't going to do a whole lot for addressing climate change, given that it can't even reason reliably about river crossing problems.

    No horizon

    Qualifier: probably

  11. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “It shouldn’t be up to a few billionaires to decide, and profit-driven companies with unelected leaders shouldn’t decide on their own, for all of us. Society has to have a vote here.”

    Our reading: Decisions on AI's environmental bet should not be left to billionaires or profit-driven companies; society must have a vote.

    No horizon

  12. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “We need independent scientists asking about whether the best (rather than simply most conveniently at hand) technologies would be used, and what the odds are of success, and the costs are of any major bets, so we can make a careful decision about what it is worth it.”

    Our reading: Independent scientists should assess the technologies, odds of success, and costs of major AI bets before they are made.

    No horizon

  13. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Ultimately, we can’t, or at least shouldn’t, place massive bets like these without transparency and accountability.”

    Our reading: Massive bets on AI's environmental costs should not be made without transparency and accountability.

    No horizon

  14. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “For the love of all that is beautiful on this planet, I hope that we think extremely carefully before going literally all in with the Earth on an unproven technology.”

    Our reading: Marcus hopes we will think extremely carefully before going literally all in with the Earth on an unproven technology (AI).

    No horizon

    Qualifier: worded as a hope

  15. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Chatbots and movie synthesis machines (perhaps the most energetically costly systems) are fun, maybe even amazing - but I don’t think we should be risking our planet for them.”

    Our reading: We should not risk the planet for chatbots and video synthesis systems.

    No horizon

  16. Assessment: Can’t be checkedSaid

    Recommendation or value judgment

    “Diverting funding from them to more focused efforts around special-purpose AI addressing climate change might make more sense.”

    Our reading: It might make more sense to divert funding from chatbots and video synthesis to special-purpose AI addressing climate change.

    No horizon

Held from this post (2)

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: If GPT-5 isn't magic, people will try for GPT-6 and risk even more harm to the environment, upping the current harm by many orders of magnitude.
  • The criteria are ambiguous. Our reading, not assessed: The only potent trick anyone seems to have is scaling, and the more scaling big tech companies do, the more power they will consume.