Yiu, Kosoy and Gopnik describe large language models as “cultural technologies” and “efficient imitation engines,” and predicted that they would be almost as capable as humans at linking familiar objects but fail at tool innovation; in their study, children chose the functionally right novel tool 85.2% of the time and adults 95.7%, while the models tested were “much less capable.”

SocioLens project,

Claim LD01-SL-C04 (v1.0)

Research opportunities this claim motivates

What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.

Which observations does each account of generative AI forbid?The cultural-technology experiment shows the form such a test can take, a prediction stated and then checked against preliminary results.

Provenance and status

Claim type: Estimate and Interpretation
Publication status: Eligible for publication, with qualifiers: preprint
Verification state: Checked against the primary source; the source is a preprint. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license: A claim about later reasoning or agentic models, or a test that separates the cultural-technology account from the mimicry or normal-technology accounts
Limitations: Read in arXiv version 1 (dated 8 May 2023 from the PDF metadata only), which reports preliminary results (“so far”); the journal version was not compared; small human samples; 2023 models; model scores are described, not given as numbers; one model tested is made by Anthropic, the developer of the model that drafted this debate
Source (as cited): Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023
Source type: Preprint (recorded as “Preprint (a journal version was published in Perspectives on Psychological Science)”)
Institutional position: Independent academic (University of California, Berkeley)
Maturity of the evidence: Emerging evidence
Recorded date: 16 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023 (Preprint)
Read the original

Version

This is the current version, v1.0. Earlier versions stay available, and their records never change.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): ESTIMATE + INTERPRETATION (as printed: “ESTIMATE / INTERPRETATION”)
Publication status (coded): ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (PREPRINT)
Source type (coded): PREPRINT
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD01-SL-C04	—
2	PUBLIC-FACING CLAIM	Yiu, Kosoy and Gopnik describe large language models as “cultural technologies” and “efficient imitation engines,” and predicted that they would be almost as capable as humans at linking familiar objects but fail at tool innovation; in their study, children chose the functionally right novel tool 85.2% of the time and adults 95.7%, while the models tested were “much less capable.”	—
3	CLAIM TYPE	ESTIMATE / INTERPRETATION	base_types: ESTIMATE, INTERPRETATION
4	RESEARCH STRAND	A — What each account says generative AI is, and what it predicts	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023	source_ids: SRC-SL-YIU-KOSOY-GOPNIK-ARXIV-2305-07666
7	SOURCE TYPE	Preprint (a journal version was published in Perspectives on Psychological Science)	classes: PREPRINT
8	INSTITUTIONAL POSITION	Independent academic (University of California, Berkeley)	—
9	SCOPE	Children aged 3–7 and adults (the country is not stated in the preprint); language models available in early 2023	—
10	DESIGN	Tool-use task comparing imitation (which objects go together) with innovation (which object can do the job of a missing tool), with the same questions put to people and to models	—
11	SAMPLE / DATASET	42 children (mean age 5.71) and 30 adults; five language models	—
12	MODEL / TOOL / VERSION	OpenAI gpt-3.5-turbo and text-davinci-003, Anthropic Claude, Google FLAN-T5 XXL and BigScience Bloomz	—
13	COMPARATOR	Children and adults	—
14	MAIN RESULT	Imitation: children 88.4%, adults 84.9%; models “almost as capable.” Innovation: children 85.2%, adults 95.7%; models “much less capable,” choosing the superficially associated object; the preprint reports no percentages for the models	—
15	INFERENTIAL TARGET	Whether these models behave as imitation engines rather than as innovating agents	—
16	DOES NOT LICENSE	A claim about later reasoning or agentic models, or a test that separates the cultural-technology account from the mimicry or normal-technology accounts	—
17	VERIFICATION STATE	CONTENT VERIFIED PREPRINT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18	LIMITATIONS	Read in arXiv version 1 (dated 8 May 2023 from the PDF metadata only), which reports preliminary results (“so far”); the journal version was not compared; small human samples; 2023 models; model scores are described, not given as numbers; one model tested is made by Anthropic, the developer of the model that drafted this debate	—
19	CONTRADICTORY / SUPPORTING SOURCES	Limits of the same kind in other tasks: LD01-SL-C18, LD01-SL-C22	—
20	GEOGRAPHY / LANGUAGE	Not applicable / English	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-01, T4, D3	—
23	WHAT WOULD CHANGE THIS CLAIM?	Models that select functionally right but superficially unrelated objects at human rates	—
24	PUBLICATION STATUS	ELIGIBLE WITH PREPRINT QUALIFIER	state: ELIGIBLE · qualifiers: PREPRINT
25	RECORDED DATE	2026-10-16	—

Field 22 references resolved against Field Map v0.2: LD-01 (LIVING_DEBATE); T4 (TENSION); D3 (DOMAIN)

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023” → Yiu et al. (2023), “Imitation versus Innovation: What…” (SRC-SL-YIU-KOSOY-GOPNIK-ARXIV-2305-07666--v1.0) — Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023; class PREPRINT (explicit public provenance pin)

Cited by Living Debate versions

What kind of thing is generative AI, and does the answer predict anything? (v0.1) LD-01

Cite this page

SocioLens project. (2026, October 16). Yiu, Kosoy and Gopnik describe large language models as “cultural technologies” and “efficient imitation engines,” and predicted that they would be almost as capable as humans at linking familiar objects but fail at tool innovation; in their study, children chose the functionally right novel tool 85.2% of the time and adults 95.7%, while the models tested were “much less capable.” [Claim LD01-SL-C04, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld01-sl-c04/v1.0/

@misc{sociolens_ld01_sl_c04_v1_0,
  author = {{SocioLens project}},
  title = {Yiu, Kosoy and Gopnik describe large language models as “cultural technologies” and “efficient imitation engines,” and predicted that they would be almost as capable as humans at linking familiar objects but fail at tool innovation; in their study, children chose the functionally right novel tool 85.2\% of the time and adults 95.7\%, while the models tested were “much less capable.”},
  year = {2026},
  date = {2026-10-16},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld01-sl-c04/v1.0/}},
  note = {Claim LD01-SL-C04, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 59a06ad24bea5336ac4eae140e9a07880d0121e2d2b901ba1285aebf4a48b497.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD01-SL-C04 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 04 — LD01-SL-C04” SHA-256 3def5a8d70661a1f1cd0c2b98803a5500f1183792c06dee3049be27c353a449a; fixture fixtures/authored/claims/LD01-SL-C04--v1.0.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD01-SL-C04 v1.0); the first version of a new Claim of the LD-01 debate
CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD01-SL-C04 v1.0" (Project Lead (Claude, AI), 2026-10-16); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts
FIELD_6_SOURCE_REFERENCE = SRC-SL-YIU-KOSOY-GOPNIK-ARXIV-2305-07666--v1.0 — basis: field 6 of ENTRY 04 — LD01-SL-C04 cites "Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-YIU-KOSOY-GOPNIK-ARXIV-2305-07666--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Yiu, Kosoy & Gopnik, “Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?”, arXiv:2305.07666, 2023".