The Sora feed philosophy

Source: OpenAI Date: 2026-02-03 URL: https://openai.com/index/sora-feed-philosophy

Summary

Title-only: A post from February 2026 articulating OpenAI’s editorial philosophy for Sora’s content feed — how AI-generated video is surfaced, ranked, and curated for users. This is the design-intent document behind Sora’s discovery layer: what signals determine what gets shown, how OpenAI thinks about the tension between engagement optimization and content quality, and how the feed avoids becoming a disinformation amplification mechanism.

Implications

The algorithmic curation thread. A “feed philosophy” document for an AI video platform is notable because it makes editorial values explicit — something traditional social platforms rarely do publicly. OpenAI is pre-committing to principles (quality over virality, provenance visibility, safety guardrails in ranking) that constrain how Sora’s feed can be optimized later. Whether the principles hold as the platform scales is the test; publishing them now creates accountability.

Video-native discovery design. Sora’s feed is not YouTube or TikTok — it’s discovery for AI-generated video, which has different signal properties. Watch time, completion rate, and social sharing may reward spectacular or uncanny content over useful or accurate content. The feed philosophy post likely grapples with this directly: how do you surface video AI that’s genuinely valuable rather than just visually impressive? The answer shapes whether Sora becomes a creative tool or an attention trap.