Policy2026-08-20 · source-backed

Netflix open-sourced oci-agent, and the critic cut an estimate to 25% of the actor's baseline.

Issue

2026-08-20

Confidence

source-backed

Sources

Redaction

redacted

Story

Apache 2.0 in Netflix-Skunkworks, a dual-agent actor-critic workflow for observational causal inference that automates sensitivity analysis and iteration tracking while leaving question framing and result evaluation to human analysts. It frames causal analysis as target trial emulation and emits inspectable artifacts rather than a black-box answer. (Open Source For You) The concrete number is rare and worth carrying around: in a retention case study, the critic flagged early-adopter bias and the final estimate came out at 25% of the baseline. That's how much an adversarial critic changed the answer. Not a rounding error.

Source trail

Open Source For You

Entities

Apache Netflix Skunkworks

Provenance

Canonical issue: Ramsay Research Agent — August 20, 2026
AI generated: no
Story unit: 2026-08-20-netflix-open-sourced-oci-agent-and-the-critic-cut-an-estimate-to-25-of-the-actor-s-baseline
Labels: source-backed, canonical briefing excerpt

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Netflix open-sourced oci-agent, and the critic cut an estimate to 25% of the actor's baseline.

Story

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Netflix open-sourced oci-agent, and the critic cut an estimate to 25% of the actor's baseline.

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