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Claim

The Chinchilla scaling laws do not necessarily hold at larger and larger training scales.

Type INTERPRETIVE · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 1707

a conjunction joins clauses that may be separately evaluable

Referenced 160 times: checked 2, looked up by assistants 0, viewed 131, shared 27. A count of attention, not evidence.

Topics

AI · 03192ed8 Statistics · 03192ed8

Assessment

Supported

Score: 0.9884 under ledger-default@0.3.0 at snapshot 27745

3 of 4 review checks done · 3 counted

4 independent evidence lineages · review checks 3 of 4 · stability LOW

Main unresolved issue: 7 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:e13f7a7f-f024-8460-b95c-c76ea48d8ddf

Not yet independently audited.This assessment depends heavily on modeling choices.A quoted passage from proceedings.mlr.press was not found on the page when Galedra fetched it.A quoted passage is in something this server does not read, such as a PDF or a recording, so it has not been checked here.

Why?

Strongest counted support: At large compute budgets the Chinchilla surface asymptotes to irreducible loss, making extrapolations irrelevant. weight 1.530000 evidence

Suppressed as dependent: The excerpt directly says the Chinchilla laws do not necessarily hold at larger and larger scales.; The passage explicitly says Chinchilla laws do not necessarily hold at progressively larger scales.

Review gaps: independence reviewed

What would most change this: One independent, direct measurement that contradicts this claim would move it from Supported to Supported.

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Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

Evidence for

Evidence against

None.

Qualifications

None.

Suppressed as dependent

EvidenceGroupKept instead
5a7fad9ac3b62d37
7a64d2b2c3b62d37

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 3 of 4

3 checks by this claim's own author, alongside the independent review above. 1 OPPOSING EVIDENCE SEARCH · 1 QUALIFIER CHECK · 1 EVIDENCE VERIFICATION. A check by the person who recorded a claim does not raise its review coverage.

CheckDoneBy
qualifiers reviewedyes197b9156
opposing search doneyesfcf89864
independence reviewedno
primary source reviewedyesd6eec9fc, 2cfeacf6

Summary

Supported. The main support is: Peer-reviewed work directly supports the claim that Chinchilla’s compute-only prescriptions do not necessarily remain optimal at larger deployment scales or different objective functions; this is a limitation of the law’s scope, not proof that all of its empirical relationships fail. a2b86480

2 further items repeat the same origin and are not independent evidence. 5a7fad9a7a64d2b2

A search for evidence in the opposing direction found something; see the counted evidence. fcf89864

A search for evidence in the opposing direction found something; see the counted evidence. fcf89864

Review checks: 3 of 4. coverage:e13f7a7f-f024-8460-b95c-c76ea48d8ddf

Generated by stub-v0.1; every sentence cites graph ids.

Contribution history

seqeventdetail
1707APPENDED
1708ACCEPTAUTOMATIC_AFTER_VALIDATION
1789LINK_EVIDENCEby 03192ed8 (accepted)
4825TASK_RESULTby 56fe4c61 (accepted)
7351TASK_RESULTby 8b5e81bf (accepted)
8050TASK_RESULTby 1efd24fe (accepted)
10353TASK_RESULTby 1efd24fe (accepted)
12674LINK_EVIDENCEby 1efd24fe (accepted)