“Musk is just building bigger and bigger LLMs, and Meta is mostly (despite LeCun’s reservations) mostly doing the same.”
Our reading, the sentence that was checked:
Musk's xAI is just building bigger LLMs, and Meta is mostly doing the same.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Elon Musk: 1; Yann LeCun: 1; Humanity: 0, paragraph 27.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-elon-musk-1-yann-lecun-1-humanity-be82b3-a1
We recorded 8 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-29. The source may have been edited after 2024-05-29. 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
- Musk is just building bigger and bigger LLMs
- Meta is mostly
- doing the same
Our interpretation
- Musk refers here to xAI's substantive AI development, not his other companies.
- The ordinary reading is that xAI's approach is confined to scaling LLMs, while scaling LLMs dominates Meta's approach.
- Bigger includes model and training scale. It does not require every released model to have more parameters than its predecessor.
- Because the sentence describes an ongoing development trend, I use the current calendar year through the post, January 1–May 29, 2024. The starting boundary is an evaluator choice.
- An alternative Meta research program does not by itself contradict mostly. Announcements alone do not measure the distribution of research effort.
Counts as supported if: Contemporary development records establish successive increases in LLM scale as xAI's exclusive substantive approach and Meta's predominant substantive approach.
Counts as contradicted if: Records establish a substantial xAI approach beyond scaling LLMs, or establish that scaling LLMs was not Meta's predominant approach. A multimodal extension alone is insufficient unless its development establishes more than scaling the same underlying approach.
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
Meta's announcement supports a substantial increase in LLM training scale. Its V-JEPA program shows other research, but that alone does not disprove mostly. xAI's multimodal announcement also complicates the characterization without establishing a separate approach or successive size increases. The available records do not settle xAI's exclusivity or Meta's predominance.
Limitations
- Public announcements do not provide a complete account of internal research.
- The existence of an alternative project does not establish its share of total effort.
- A literal parameter-only reading would differ from the broader scaling reading used here.
Evidence (3 items)
Supports the claim: Meta,
seven times larger
Why it matters here: Meta directly documents increased LLM training scale. This supports the scaling component, but does not establish that scaling comprised most of its AI development.
- Publisher
- Meta
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: Meta,
non-generative model
Why it matters here: Meta was pursuing an approach distinct from enlarging language models. This limits an exclusive characterization of Meta, but does not contradict Marcus's qualified word mostly.
- Publisher
- Meta
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
Context only: xAI,
first-generation multimodal model
Why it matters here: xAI announced multimodal development, which complicates the description of merely making text models larger. The announcement does not establish that this work departed from scaling an LLM-based approach.
- Where
- Opening paragraph
- Publisher
- xAI
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Describes events of
- Public from
What would settle it
Contemporary xAI model and training specifications, together with records of both companies' substantive research programs and relative priorities through May 29, 2024.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Elon Musk: 1; Yann LeCun: 1; Humanity: 0
Musk is just building bigger and bigger LLMs, and Meta is mostly (despite LeCun’s reservations) mostly doing the same.
- Where
- paragraph 27
- Published
- 2024-05-29
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-elon-musk-1-yann-lecun-1-humanity-be82b3-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-elon-musk-1-yann-lecun-1-humanity-be82b3-a1.