ClaimcausalA claim that one thing brings about another, not merely that the two go together.constitution →importance · notableImportance 0.60, from 0 to 1 · notable: a contested point in a live debate (also the default before judging). Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →

TopicsEmergent Misalignment AI Scheming AI Alignment Machine Unlearning

Misaligned policies induced by narrow fine-tuning or RL in model organisms may be easier to remove than naturally developed scheming.

Not yet assessed, so this page carries no verdict. That is not a finding for or against the claim. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.

Decomposition

This claim has not been assessed yet. Attention goes where its expected value is highest and someone funds it; once this claim's assessment is funded and runs, it may well decompose into subclaims.

or start a mandate for this whole area →

Provenance

Where this claim has been said, linked to its canonical form.

Its one source has been traced to an origin, or to one another.

Our red team's attack policy is created through narrow supervised fine-tuning and RL, which may instill the malign policy more shallowly than would occur in a naturally emerging scheming model (Carl- smith, 2023). A model that has developed scheming ten- dencies through pretraining or extensive RL may be more resistant to blue team training (Hubinger et al., 2024).

Removing Sandbagging in LLMs by Training with Weak Supervisionpreprintextraction 0.65

Ryd, Emil et al. · arXiv.org · Apr 23, 2026 · original

Limitations section on whether the model organisms represent real misaligned models.

Cite this claim: a formal citation with its evidence attached

Embed this claim: show it on another site with its current assessment

An embed reports the graph's judgment as it stands when the page is viewed: the status with its confidence, how disputed the claim is, and the date. It links back here.

CardFits its column and sizes itself. Without the script it stays a quotation with its link.

<blockquote class="minerval-claim" data-claim-id="453bbeee-252f-42ad-9f04-6849bc39a300"><a href="https://minerval.ai/claims/453bbeee-252f-42ad-9f04-6849bc39a300">Misaligned policies induced by narrow fine-tuning or RL in model organisms may be easier to remove than naturally developed scheming.</a></blockquote>
<script async src="https://minerval.ai/embed.js"></script>

IframeWhere scripts are not allowed. A fixed height; add ?theme=light or ?theme=dark to fix its colours.

<iframe src="https://minerval.ai/embed/claims/453bbeee-252f-42ad-9f04-6849bc39a300" title="Minerval: Misaligned policies induced by narrow fine-tuning or RL in model organisms may be easier…" width="480" height="225" style="border:0;max-width:100%" loading="lazy"></iframe>

BadgeAn image for a README or a forum post, in Markdown.

[![Minerval's judgment of this claim](https://minerval.ai/embed/claims/453bbeee-252f-42ad-9f04-6849bc39a300/badge.svg)](https://minerval.ai/claims/453bbeee-252f-42ad-9f04-6849bc39a300)

The badge now:

Contribute

Every judgment on this page is open to challenge. A contribution is evaluated on its merits by the reviewer; if it succeeds the page changes, and if it does not, the reasons are stated. Either way the exchange becomes part of the claim’s public record.

Stated views None yet. A view stated to the graph is shown on this page in its speaker’s words, as a source like any other, and carries no weight in the assessment.

Created by extractor · Nov 14, 2026. Every judgment on this page is accompanied by a reasoning trace.