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TheSuper BowlLIX halftime show is set to be a historic moment with Kendrick Lamar headlining at New Orleans’Caesars Superdome.
To get a fresh perspective on the possibilities, I turned to five leading AI chatbots for their predictions.
Some focused on crowd-pleasing hits, others imagined surprise collaborations, and a few even suggested specific visual elements.
Their predictions ranged from conservative seven-song sets to ambitious eleven-track spectaculars.
Let’s explore how eachAIenvisioned Kendrick’s half-timeSuper Bowlperformance.
The AI demonstrated strong understanding of show progression, suggesting an emotional journey from high energy to uplifting finale.
Its strategic placement of guest appearances showed careful consideration of pacing and audience engagement.
The setlist played it extremely safe, sticking mainly to established hits without considering newer material.
The AI provided minimal staging suggestions, focusing solely on song selection rather than the full spectacle.
Its predictions lacked the innovation and surprise elements that make Super Bowl performances memorable.
However, its reasoning was solid, balancing classics like “King Kunta” with newer material.
Gemini provided exceptionally detailed staging suggestions that showed understanding of Super Bowl-level productions.
Its integration of guest artists demonstrated knowledge of Lamar’s collaborative history and relationships within the industry.
The suggested 11-song setlist would be nearly impossible to execute within the strict 12-minute time limit.
Some of the proposed collaborations, while exciting, seemed unlikely given logistical constraints.
The overall vision, while comprehensive, might be too ambitious for the real-world limitations of a halftime show.
Perplexity made a strong effort to incorporate current information and confirmed details into its predictions.
The AI showed awareness of Lamar’s recent work and evolving artistic direction.
Its consideration of confirmed appearances added a layer of credibility to the predictions.
The AI often confused speculation with confirmed facts, making it difficult to separate reliable information from rumors.
Several details about past performances were incorrectly cited or mixed up.
The overall flow of the proposed show lacked cohesion and practical consideration of time constraints.
Claude’s predictions
While Claude acknowledged its knowledge limitations, its actual predictions were somewhat conservative.
Claude’s practical approach to time management through the use of medleys showed real understanding of show constraints.
The AI created smooth transitions between songs that would work well in a live setting.
Its focus on proven crowd-pleasers demonstrated awareness of the broad Super Bowl audience.
The song selection remained overly cautious, missing opportunities for surprising moments or newer material.
The AI provided very limited staging suggestions, focusing almost entirely on music selection.
The overall vision felt safe rather than spectacular, which is crucial for a Super Bowl performance.
Its 11-song setlist, while ambitious, showed thoughtful progression and included detailed staging suggestions.
DeepSeek created a vivid vision of the performance with specific, imaginative staging ideas for each song.
The AI thoughtfully incorporated surprise elements that would create memorable Super Bowl moments.
Its consideration of show pacing and energy flow demonstrated understanding of live performance dynamics.
The number of songs suggested would be difficult to fit into the allowed time frame.
Several of the proposed guest appearances, while exciting, seemed logistically unlikely for a single performance.
The complexity of the suggested production might be too ambitious for the quick setup required at a Super Bowl.
The consensus…
If you’re a ChatGPT user, check out the5 prompts to try first in o3-mini.
