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Artificial Analysis publishes AA-Video-I2V v1.0 image-to-video benchmark prompts

2 articles1 sourcesince Oct 9Last article 3h ago ·

Overview

AISummary of 2 articles

Artificial Analysis posts example prompts from its AA-Video-I2V v1.0 image-to-video benchmark on X. The first prompt, posted October 9, 2026, describes a deadlift personal record attempt: the lifter grips the bar, pulls slowly, locks out, screams, and drops the weight.

A second prompt, also posted October 9, describes passengers flipping newspapers open in sync while a train rocks gently, with rustling pages and train hum as audio cues.

The posts show two of the three prompts in the benchmark. The source reports do not give scoring methods, models tested, or results.

Written by AI from the articles below · updated Oct 9, 6:51 PM ET

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Developments

2 developments

  1. Oct 9, 6:43 PM ET · 1 article
    Artificial Analysis publishes AA-Video-I2V v1.0 prompt for image-to-video evaluation
    Artificial Analysis: Artificial Analysis publishes AA-Video-I2V v1.0 deadlift prompt example
  2. Oct 9, 6:43 PM ET · 1 article
    Artificial Analysis publishes prompt 2 of 3 for its AA-Video-I2V v1.0 image-to-video benchmark
    Artificial Analysis: Artificial Analysis releases AA-Video-I2V v1.0 prompt example

Article timeline

The articles in this story. Times are ET.

Oct 9
  1. Artificial AnalysisOfficial
    Artificial Analysis publishes AA-Video-I2V v1.0 deadlift prompt example

    AIArtificial Analysis shares the first of three prompts from its AA-Video-I2V v1.0 benchmark, describing a deadlift personal record attempt. The prompt specifies the sequence of gripping, pulling, the bar bending, lockout, screaming, and dropping the weight.

    Video from @ArtificialAnlys's post
  2. Artificial AnalysisOfficial
    Artificial Analysis releases AA-Video-I2V v1.0 prompt example

    AIArtificial Analysis posts prompt [2/3] for AA-Video-I2V v1.0, describing passengers flipping newspapers in sync while the train rocks gently. The prompt also specifies rustling pages and train hum as audio cues.

    Video from @ArtificialAnlys's post

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