“The thing is, it’s easy to convince yourself that AI problems are much easier than they are actually are, because of the long tail problem.”
Our reading, the sentence that was checked:
The long tail problem makes it easy to believe AI problems are much easier than they actually are.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Dear Elon Musk, here are five things you might want to consider about AGI, paragraph 10.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-dear-elon-musk-here-are-five-things-d56a36-a1
We recorded 21 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-28. The source may have been edited after 2022-05-31. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Causal claim
- Deadline, as the speaker wrote it
- None stated. This site does not add one.
- Deadline state when assessed
- No horizon
- Deadline state on 2026-10-29
- No horizon (the release’s reference date)
From the speaker
- easy to convince yourself
- AI problems are much easier than they are actually are
- because of the long tail problem
Our interpretation
- The ordinary reading is that success on frequently encountered cases can cause people to underestimate the difficulty of making AI reliable across uncommon cases.
- Underestimating development difficulty is distinct from trusting an existing system too much.
- The claim describes a general mechanism without a deadline or a specified population.
Counts as supported if: Studies or documented causal analyses show that exposure dominated by successful common cases produces underestimation of AI problem difficulty, and connect that misjudgment to overlooked rare cases.
Counts as contradicted if: Well-matched studies show that this exposure does not produce the proposed underestimation, or that another factor accounts for the effect while rare-case exposure has no material influence.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Does the evidence support the cause?
Outcome: Unresolved
The record was checked, and the evidence available by the cutoff does not settle it.
Scored on a plain reading. The speaker named no measure for this claim, so it was judged on the reading an informed reader would take, stated below under our interpretation. Both reviews had to find that reading fair.
- Evidence as of
- Deadline state when assessed
- No horizon
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
Research on overtrust is consistent with part of Marcus's explanation: repeated successful interactions can encourage excessive confidence. But that does not establish that the long-tail problem causes people to underestimate AI engineering difficulty. The searches did not locate evidence that directly settles that causal claim.
Limitations
- The closest empirical evidence uses a simulated robot task.
- The speaker supplies neither a population nor a measure of perceived difficulty.
Evidence (1 item)
Context only: Frontiers in Robotics and AI; institutional copy hosted by LMU Munich,
System failure is a rare occurrence.
Why it matters here: The study models successful interactions followed by uncommon failures and reports increasing trust during repeated successes. Its simulated pet-feeding task measures trust and checking behavior, not beliefs about how difficult AI engineering problems are.
- Publisher
- Frontiers in Robotics and AI; institutional copy hosted by LMU Munich
- Kind of source
- Peer-reviewed paper
- Describes events of
- Public from
What would settle it
A study comparing common-case-only exposure with exposure including rare failures, measuring resulting estimates of AI development difficulty or remaining work against independently established performance limitations.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Dear Elon Musk, here are five things you might want to consider about AGI
The thing is, it’s easy to convince yourself that AI problems are much easier than they are actually are, because of the long tail problem.
- Where
- paragraph 10
- Published
- 2022-05-31
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-dear-elon-musk-here-are-five-things-d56a36-a1: Current. Outcome: Unresolved. Evidence as of 2026-10-28. Public date not recorded.
Recorded events
Assessment publishedBy this site
First assessment published after both reviews and the final-text check passed.
About assessment marcus-dear-elon-musk-here-are-five-things-d56a36-a1.