Scoring 24 AI benchmarks against 46 quality criteria, BetterBench rated MMLU lowest (5.5) and GPQA much higher (11.0), yet model announcements for GPT-4, Claude 3 and Gemini reported both without acknowledging their limitations or quality differences.

SocioLens project,

Claim LD06-SL-C06 (v1.0)

Provenance and status

Claim type: Estimate
Publication status: Eligible for publication, with a qualifier
Verification state: Checked against the primary source. 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 general ranking of benchmark usefulness; a finding about developers’ intentions
Limitations: Criteria and weights set by the authors; small set of benchmarks
Source (as cited): Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990
Source type: Peer-reviewed conference paper (recorded as “Peer-reviewed conference paper”)
Institutional position: Independent academic (Stanford)
Maturity of the evidence: Emerging evidence
Recorded date: 15 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990 (Peer-reviewed conference paper)
Read the original

Version

This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.

This pinned version is also the current version.

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 (as printed: “ESTIMATE”)
Publication status (coded): ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY
Source type (coded): PEER_REVIEWED_CONFERENCE_PAPER
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD06-SL-C06	—
2	PUBLIC-FACING CLAIM	Scoring 24 AI benchmarks against 46 quality criteria, BetterBench rated MMLU lowest (5.5) and GPQA much higher (11.0), yet model announcements for GPT-4, Claude 3 and Gemini reported both without acknowledging their limitations or quality differences.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	A — Benchmark validity and measurement	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990	source_ids: SRC-SL-REUEL-ET-AL-BETTERBENCH-ARXIV-2411-12990
7	SOURCE TYPE	Peer-reviewed conference paper	classes: PEER_REVIEWED_CONFERENCE_PAPER
8	INSTITUTIONAL POSITION	Independent academic (Stanford)	—
9	SCOPE	24 benchmarks (16 for foundation models, 8 others)	—
10	DESIGN	Lifecycle assessment against a 46-criterion framework	—
11	SAMPLE / DATASET	24 benchmarks	—
12	MODEL / TOOL / VERSION	Not applicable	—
13	COMPARATOR	Between benchmarks	—
14	MAIN RESULT	MMLU weighted average score 5.5, GPQA 11.0; low average scores for replication scripts (3.75) and for reporting statistical significance (5.62), on a 0 to 15 scale	—
15	INFERENTIAL TARGET	Benchmark quality and how developers present benchmark results	—
16	DOES NOT LICENSE	A general ranking of benchmark usefulness; a finding about developers’ intentions	—
17	VERIFICATION STATE	CONTENT VERIFIED	state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18	LIMITATIONS	Criteria and weights set by the authors; small set of benchmarks	—
19	CONTRADICTORY / SUPPORTING SOURCES	Consistent with LD06-SL-C05	—
20	GEOGRAPHY / LANGUAGE	Not applicable / English	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-06, D4b	—
23	WHAT WOULD CHANGE THIS CLAIM?	Independent scoring with other criteria	—
24	PUBLICATION STATUS	ELIGIBLE WITH QUALIFIER	state: ELIGIBLE · qualifiers: QUALIFIED
25	RECORDED DATE	2026-10-15	—

Field 22 references resolved against Field Map v0.2: LD-06 (LIVING_DEBATE); D4b (SUB_AREA)

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

Pinned Sources (field 6, version-specific)

“Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990” → Reuel et al. (2024), “BetterBench: Assessing AI…” (SRC-SL-REUEL-ET-AL-BETTERBENCH-ARXIV-2411-12990--v1.0) — Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990; class PEER_REVIEWED_CONFERENCE_PAPER (explicit public provenance pin)

Cited by Living Debate versions

The evaluation apparatus: Can benchmarks, leaderboards and audits carry the weight placed on them? (v0.1) LD-06

Cite this page

SocioLens project. (2026, October 15). Scoring 24 AI benchmarks against 46 quality criteria, BetterBench rated MMLU lowest (5.5) and GPQA much higher (11.0), yet model announcements for GPT-4, Claude 3 and Gemini reported both without acknowledging their limitations or quality differences [Claim LD06-SL-C06, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld06-sl-c06/v1.0/

@misc{sociolens_ld06_sl_c06_v1_0,
  author = {{SocioLens project}},
  title = {Scoring 24 AI benchmarks against 46 quality criteria, BetterBench rated MMLU lowest (5.5) and GPQA much higher (11.0), yet model announcements for GPT-4, Claude 3 and Gemini reported both without acknowledging their limitations or quality differences.},
  year = {2026},
  date = {2026-10-15},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld06-sl-c06/v1.0/}},
  note = {Claim LD06-SL-C06, 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 c3d62115dd8fe92682a84a090e3d8fc76bd48bce686b1f69764008712ea40b56.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD06-SL-C06 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; 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 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts. Block “ENTRY 06 — LD06-SL-C06” SHA-256 cdd931f752d0e213064aebc8337a4375ae637dfdc998c8f597d2c9ea221f77b7; fixture fixtures/authored/claims/LD06-SL-C06--v1.0.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD06-SL-C06 v1.0); the first version of a new Claim of the LD-06 debate
CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD06-SL-C06 v1.0" (Project Lead (Claude, AI), 2026-10-15); 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 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts
FIELD_6_SOURCE_REFERENCE = SRC-SL-REUEL-ET-AL-BETTERBENCH-ARXIV-2411-12990--v1.0 — basis: field 6 of ENTRY 06 — LD06-SL-C06 cites "Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-REUEL-ET-AL-BETTERBENCH-ARXIV-2411-12990--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Reuel, Hardy, Smith, Lamparth, Hardy & Kochenderfer, “BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices,” NeurIPS 2024, arXiv:2411.12990".