Slow frontier capability development through verifiable compute allocation to safety research; this is not a blanket halt to AI training. [1][2]
Initial statement. Slow frontier capability development through verifiable compute allocation to safety research; this is not a blanket halt to AI training.
Source context. Author evhub proposes reallocating resources away from proprietary capabilities to safety. This is a personal policy proposal, not an adopted lab commitment. Embedded original comment postedAt 2026-06-05T21:32:47.815Z and lastEditedAt 2026-06-05T22:09:22.110Z independently inspected.
Scope
Frontier labs: capability slowdown through compute allocation to safety/alignment.
Conditions
Require an unspecified X% of compute to support external safety organizations and fully public internal safety research; verification/whistleblowing and possible external-inference fallback.
Stated rationale
Author evhub proposes reallocating resources away from proprietary capabilities to safety. This is a personal policy proposal, not an adopted lab commitment. Embedded original comment postedAt 2026-06-05T21:32:47.815Z and lastEditedAt 2026-06-05T22:09:22.110Z independently inspected.
Source details
primary · Original publisher or author; verified independently of scout output.
Discovered 3 Oct 2026.
Published 5 Jun 2026.
Accessed 3 Oct 2026.
Source [2] · Supporting original statement
RSPs are pauses done right
Attributed to: Evan Hubinger · LessWrong
Published
“AI labs put out RSP commitments to stop scaling when particular capabilities benchmarks are hit”
Source context. Authored evhub; date October14 2023 visible. Discloses involvement with Anthropic RSP work. Positive policy recommendation preserves conditional pauses within wider managed development.
Scope
Capability scaling at frontier labs under responsible scaling policies.
Conditions
Resume when specified alignment, safety and security targets are met; policy/risk thresholds rather than blanket permanent ban.
Stated rationale
Authored evhub; date October14 2023 visible. Discloses involvement with Anthropic RSP work. Positive policy recommendation preserves conditional pauses within wider managed development.
Source details
primary · Original publisher or author; verified independently of scout output.
Discovered 3 Oct 2026.
Published 14 Oct 2023.
Accessed 3 Oct 2026.
Editorial assessment. Research proposal only; independent adversarial review and explicit human approval required. Contrary/scope evidence: October14 2023 RSP argument favors conditional benchmark-triggered stops with safety-based resumption rather than undifferentiated blanket pause. September risk warnings alone are not pace evidence. Remaining limitation: September12 X statement inaccessible; not needed for June5 qualified finding.