“With the truth that LLMs can’t be trusted now becoming more widely known, the big AI leaders have switched their focus to long term promises that are impossible to verify and even more grandiose than “we can help your business in unprecedented ways” (which has turned out to be mostly untrue).”
Our reading, the sentence that was checked:
As the truth that LLMs can't be trusted becomes more widely known, the big AI leaders have switched their focus to long-term promises that are impossible to verify and even more grandiose than 'we can help your business in unprecedented ways', a promise that has turned out to be mostly untrue.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, The need for a President that speaks AI natively, paragraph 10.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-the-need-for-a-president-that-speaks-bc4ce7-a1
We recorded 11 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 2024-06-28. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Observation
- 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)
Conditions
- the big AI leaders (scope, stated by the speaker)
- mostly untrue (qualifier, stated by the speaker)
From the speaker
- LLMs can’t be trusted
- becoming more widely known
- big AI leaders have switched their focus
- long term promises that are impossible to verify
- even more grandiose
- which has turned out to be mostly untrue
Our interpretation
- The ordinary reading concerns growing recognition of unreliable outputs, a shift in promotional emphasis, and failure to deliver most of the extraordinary business benefits previously promoted.
- Cannot be trusted means outputs require checking in consequential applications, not that every output is false or every business use is worthless.
- Impossible to verify is read as not verifiable when promised, rather than logically untestable forever.
- The preceding paragraph supplies an approximate 2022 baseline. The historical comparison and business outcomes end on June 28, 2024.
- With describes accompanying developments. It does not clearly commit to a separately testable causal explanation for leaders' motives.
Counts as supported if: Comparable records establish growing awareness of reliability problems, a broad shift toward more expansive long-term promises, and failure by the post date to deliver most of the earlier extraordinary business benefits under their stated terms.
Counts as contradicted if: Representative evidence establishes no asserted shift or rise in awareness, or shows that most of the earlier business promises were delivered under their stated terms.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
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
The interview provides an example of expansive future expectations, with qualifications that matter. Current-product promotion continued, and contemporary research reported both benefits and limitations. These examples do not establish an overall messaging shift, increasing public awareness, or failure of most earlier business promises. Calling the claim mixed would overstate what has been established about its broad components.
Limitations
- Business usefulness, reliability, and fulfillment of extraordinary promotional promises are different questions.
- The interview transcript was not independently checked against its audio.
- The cited research summary covers particular consulting tasks, not the full business population.
Evidence (3 items)
Context only: OpenAI,
in real time
Why it matters here: OpenAI still promoted concrete product capabilities shortly before the post. This is evidence about messaging, not independent verification of those capabilities or a measurement of overall promotional emphasis.
- Where
- Opening announcement
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: Harvard Business School,
falls short
Why it matters here: The institution's summary reports benefits for some consulting tasks and limitations for others. It cautions against treating unreliability as proof of absent business value, but does not measure whether most advertised business benefits materialized.
- Publisher
- Harvard Business School
- Kind of source
- Secondary summary
- Describes events of
- Public from
Context only: Podscripts, transcribing In Good Company with Nicolai Tangen,
longstanding diseases
Why it matters here: The June 26 episode contains expansive predictions about future medical benefits. The surrounding passage makes them conditional and distinguishes model capability from later application and regulatory approval; one interview cannot establish an industry-wide shift.
- Publisher
- Podscripts, transcribing In Good Company with Nicolai Tangen
- Kind of source
- Secondary summary
- Describes events of
- Public from
What would settle it
Comparable messaging samples, repeated awareness evidence, and a representative set of earlier business promises matched to outcomes available by June 28, 2024.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, The need for a President that speaks AI natively
With the truth that LLMs can’t be trusted now becoming more widely known, the big AI leaders have switched their focus to long term promises that are impossible to verify and even more grandiose than “we can help your business in unprecedented ways” (which has turned out to be mostly untrue).
- Where
- paragraph 10
- Published
- 2024-06-28
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-the-need-for-a-president-that-speaks-bc4ce7-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-the-need-for-a-president-that-speaks-bc4ce7-a1.