MilenaH

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MilenaH reacted 3w ago

Jaafar Jackson Why He Was Cast As Michael Jackson In The 2026 Biopic

Jaafar Jackson plays Michael Jackson in the 2026 biopic Michael, and the story of how the 29-year-old newcomer landed the role is more interesting than the film itself. It started with a voice note. It involved a two-year global casting search with no formal auditions. It required Jaafar to keep the role secret from his own family for a full year. And it ended with his grandmother Katherine Jackson, the woman who knew Michael longest and loved him most, telling producers that her grandson didn't just resemble her son, he embodied him. After tracking every interview, behind-the-scenes video, and production report released since the film was announced, I can tell you that the choice of Jaafar was not nepotism, not a publicity play, and not the obvious pick everyone assumes it was. It was a hard-earned outcome of the most unusual casting process in recent biopic history, and here is how it actually happened.

Jaafar Jackson Why He Was Cast As Michael Jackson In The 2026 Biopic by Ethan-William
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MilenaH reacted 1mo ago

The social mobility point the article makes about male characters in historical fantasy settings is accurate but I want to add that Elliot specifically being a minor villain rather than a protagonist or love interest complicates that mobility significantly. He has male privilege in the setting but no narrative privilege.

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MilenaH reacted 1mo ago

Beating Google And OpenAI At Video Generation With A 1,247 Elo Score

The AI video generation race just got a clear winner. Runway Gen-4.5 topped the Video Arena leaderboard with a 1,247 Elo score, surpassing both Google Veo 3 and OpenAI Sora 2. For those unfamiliar with Elo ratings, this is the same system used to rank chess players and competitive games. A higher score means more wins in head-to-head comparisons. When real users compare videos side by side without knowing which AI generated them, they consistently choose Runway's output. Runway didn't start as an enterprise video tool. It began as a playground for artists and filmmakers who wanted to experiment with AI-generated visuals. The early versions produced fascinating but inconsistent results. Sometimes you'd get stunning cinematic footage. Other times you'd get distorted motion and unrealistic physics. Gen-4.5 changed that equation by achieving breakthrough consistency in motion quality and physical accuracy.

Beating Google And OpenAI At Video Generation With A 1,247 Elo Score by Adam
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