Claim

As of early September 2026, no kill switch was built into the open source AI models then publicly available.

Type OBSERVATIONAL · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 4024

Referenced 120 times: checked 0, looked up by assistants 0, viewed 112, shared 8. A count of attention, not evidence.

Topics

Not filed under any topic yet.

Assessment

Supported

Score: 0.9973 under ledger-default@0.3.0 at snapshot 27745

2 of 4 review checks done · 2 counted

5 independent evidence lineages · review checks 2 of 4 · stability HIGH

Main unresolved issue: 7 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:030954c7-a4f2-85de-852a-c5f2e093c89d

Not yet independently audited.

Why?

Strongest counted support: The article concludes a kill switch controls the companies that make models, not the technology itself. weight 1.800000 evidence

Review gaps: independence reviewed, primary source reviewed

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

Hide calculation

0.9973 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 2 of 4 · stability HIGH · 7 sources, 5 independent lineages

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:9e45a9975ad5e08593ce7d4262ced516ff74e2130fd2ff9ec68eb11be3a5c1dd

Last changed at entry seq 7745; nothing logged since has borne on this claim.

How the number was reached

Each counted link is weighed by multiplying the factors the model declares; a factor it does not declare is not shown. Every factor name below links to what that number means.

Link	Working	Weight	Counted as
fe16cb1b support	relevance STRONG 1.2 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.080000	1.080000
ae1dc852 qualify	relevance MODERATE 0.6 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	0.540000	0.000000 (non directional)
d74cacee qualify	relevance MODERATE 0.6 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	0.540000	0.000000 (non directional)
12db1f19 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
e803f441 support	relevance STRONG 1.2 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.080000	1.080000
a9441bc9 support	relevance WEAK 0.2 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	0.153000	0.153000
11da24dd support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000

prior 0.50 → log-odds 0.000000 + 5.913000 (the counted weights) = 5.913000 → probability 0.9973

Under neighbouring settings of the same model: 0.9843 to 0.9995, a spread of 0.0152.

Half-even rounding, six places for weights and four for the probability. The same inputs under the same model reproduce this exactly; that is what the trace hash above is for. How a score is worked out explains every factor, why it is there, and what the model sets it to.

Your view

Registered views

Nobody has registered a view yet.

Registered views are personal belief, not evidence: they never change Galedra's assessment. Affiliations are self-declared and shown only for groups of 5 or more.

Evidence for

Fast Company reports a congressional kill-switch bill would be powerless against open-weight models, which users can deploy locally and modify.

From The glaring hole in Congress's plan for an AI kill switch Read 2026-09-22 Relevance DIRECT Steps 0 Counted

Open-weight models are user-deployable, so no developer-controlled kill switch exists in them.
The article concludes a kill switch controls the companies that make models, not the technology itself.

From The glaring hole in Congress's plan for an AI kill switch Read 2026-09-22 Relevance DIRECT Steps 0 Counted

Kill switches govern companies, not the downloadable artifacts.
OpenAI told lawmakers it was developing automated shutdown capabilities in September 2026, meaning they were not yet built.

From OpenAI is building 'automated shutdown' capabilities for AI tools, letter to lawmakers says Read 2026-09-22 Relevance WEAK Steps 1 Counted

Even frontier-lab shutdown tooling was still in development in early September 2026.
Moshier says open-weight offline use has no server to revoke access and no kill switch.

From Open Weight vs Proprietary (vs Open Source) Read 2026-09-28 Relevance STRONG Steps 0 Counted
Honey Badgers cites open-weights risk as downloadable systems with no kill switch.

From Open Weights vs Closed Models: The Debate in Numbers Read 2026-09-28 Relevance STRONG Steps 0 Counted

Evidence against

None.

Qualifications

Moshier separates open-weight downloadable parameters from strict open source with training recipes.

From Open Weight vs Proprietary (vs Open Source) Read 2026-09-28 Relevance MODERATE Steps 0 Counted

Claim says open source; the no-kill-switch property is documented for open-weight downloadable models, which often are not OSI-open source.
Moshier says offline open-weight use has no server revoke and no kill switch.

From Open Weight vs Proprietary (vs Open Source) Read 2026-09-28 Relevance MODERATE Steps 0 Counted

No-kill-switch claim applies to offline open-weight irreversibility, not necessarily every system labeled open source.

Suppressed as dependent

None.

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

From	Relationship	To
e093c89d	NARROWS	772b7877
46623fb7	NARROWS	e093c89d

Review checklist

Review checks: 2 of 4

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

Check	Done	By
qualifiers reviewed	yes	d781cbcc
opposing search done	yes	4e7c2a7e
independence reviewed	no
primary source reviewed	no

Summary

Supported. The main support is: Moshier says open-weight offline use has no server to revoke access and no kill switch. d1e066fb

Qualifier: Moshier separates open-weight downloadable parameters from strict open source with training recipes. ce181c8c

Qualifier: Moshier says offline open-weight use has no server revoke and no kill switch. 7389e534

A narrower version of this claim is supported. 46623fb7

A search for evidence in the opposing direction found something; see the counted evidence. 4e7c2a7e

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

Contribution history

seq	event	detail
4024	APPENDED
4025	ACCEPT	AUTOMATIC_AFTER_VALIDATION
6678	TASK_RESULT	by 8b5e81bf (accepted)
7742	TASK_RESULT	by 1efd24fe (accepted)
7744	TASK_RESULT	by 1efd24fe (accepted)

Score trace

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