“Few people want to fund such a thing, when the immediate money lies in LLMs.”
Our reading, the sentence that was checked:
Few people want to fund alternative architectures that can actually obey our instructions, when the immediate money lies in LLMs.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, LLMs: Dishonest, unpredictable and potentially dangerous., paragraph 35.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-llms-dishonest-unpredictable-and-d1de0e-a1
We recorded 17 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 2025-06-22. 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)
From the speaker
- Few people want to fund such a thing
- different architectures that can actually obey our instructions
- the immediate money lies in LLMs
Our interpretation
- The ordinary reading is that investor appetite for more controllable alternatives to LLMs was scarce relative to appetite for LLM businesses.
- The target is current investor appetite in June 2025 through publication. Earlier financing records provide background rather than direct measurement of that month's appetite.
- Alternative architectures must be aimed at improving controllability or instruction adherence; all non-LLM AI investment cannot automatically be counted.
- Funding announcements are proxies for willingness to invest. They do not measure immediate commercial returns.
- This is an industry-level claim about investor interest, not a specified company's financial metric.
Counts as supported if: Representative contemporaneous investment records and investor evidence show scarce interest in qualifying alternative architectures relative to LLMs, with evidence for the stated commercial incentive.
Counts as contradicted if: Representative evidence shows broad investor appetite for qualifying alternatives, rather than merely a few funded exceptions.
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
Public records show backing for both an LLM developer and a logic-based alternative. They do not measure how scarce interest in the specified alternatives was. One alternative receiving investment is compatible with few investors being interested, while a large LLM financing does not establish immediate commercial returns. The necessary comparative evidence was not located.
Limitations
- Funding announcements select successful deals and omit rejected proposals.
- General non-LLM investment is broader than the architecture category Marcus describes.
- No numerical cutoff for few was imposed.
Evidence (2 items)
Context only: Mindflair plc / RNS,
logic-based techniques
Why it matters here: The portfolio update documents investor participation in a logic-based AI company, establishing some appetite for alternatives. It neither proves instruction-following reliability nor supplies the market-wide denominator needed to assess few.
- Publisher
- Mindflair plc / RNS
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: OpenAI,
partnership with SoftBank
Why it matters here: The announcement establishes investor backing for an LLM developer before the target period. Financing is not evidence of immediate profits or a representative comparison with alternative architectures.
- Where
- Second paragraph
- Publisher
- OpenAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
What would settle it
A representative contemporaneous comparison of investor participation in clearly classified alternatives and LLM businesses, supplemented by evidence about expected or realized near-term commercial returns.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, LLMs: Dishonest, unpredictable and potentially dangerous.
Few people want to fund such a thing, when the immediate money lies in LLMs.
- Where
- paragraph 35
- Published
- 2025-06-22
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-llms-dishonest-unpredictable-and-d1de0e-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-llms-dishonest-unpredictable-and-d1de0e-a1.