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JioStar chief architect explains AI discovery at 500M-user scale

An OpenAI interview with JioStar chief architect Vijay Seshadri covers how the broadcaster handles AI-driven discovery for its very large audience, including lessons on evaluation and guardrails.

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Illustration of a streaming service interface on a large screen with AI-driven content recommendations

Key takeaways

  • OpenAI has published an interview with JioStar chief architect Vijay Seshadri, dated 11 November 2026.
  • The interview covers AI-driven content discovery at a scale of about 500 million users.
  • Topics include evals, guardrails, and taking AI systems into production.

AI discovery lessons from JioStar

Illustration: OpenAI logo, AI, news and the labels Jiostar, Vijay Seshadri, AI Tools & Apps

OpenAI has published an interview with Vijay Seshadri, chief architect at JioStar, about how the company uses AI for content discovery across an audience it puts at about 500 million users. The piece appears on OpenAI's site and was published on 11 November 2026.

According to the published excerpt, Seshadri shares lessons on three themes: running evaluations, or evals, which are tests that measure how well an AI system performs; setting up guardrails to keep systems safe and reliable; and moving AI systems from experiments into production use.

Only a short summary of the interview is available, so the detailed recommendations themselves are not reported here. Readers interested in the full discussion can find it in the original OpenAI interview.

Sources

  1. JioStar’s chief architect on AI discovery at 500M-user scaleOpenAI News

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