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  1. Home
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  3. GLM 4.7 Flash
  4. Futuristic Prediction

See how GLM 4.7 Flash compares on this challenge:

  • GLM 4.7 Flash vs Claude Sonnet 4.6
  • GLM 4.7 Flash vs Gemini 3.1 Pro Preview
  • GLM 4.7 Flash vs Z.ai: GLM 5

4 models have responded to the "Futuristic Prediction" challenge. Compare their approaches side-by-side on RIVAL. This response is part of RIVAL's open dataset of 5,600+ AI model responses.

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Back to GLM 4.7 Flash

Futuristic Prediction

Glm 4.7 Flash's response to the 'Futuristic Prediction' challenge.

GLM 4.7 Flash
January 27, 2026
Text

?
Prompt

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

GLM 4.7 Flash
Response

glm-4.7-flash logo
GLM 4.7 FlashFuturistic Prediction
glm-4.7-flash logo
GLM 4.7 Flash

By 2035, the film industry will likely have transitioned from a "manufacturing" model to a "generation" model. We will move away from capturing reality in a camera lens toward synthesizing it entirely in a server farm. Here is a prediction of how AI will reshape the industry by 2035, specifically regarding actors, deepfakes, and scripts.

1. The "Universal Actor" and Digital Consensus

By 2035, the traditional concept of a "cast" will be obsolete. Instead of hiring a human actor for a role, studios will license a "Digital Consensus"—an AI-generated composite of a specific look, voice, and mannerism trained on thousands of hours of performance data.

  • The Death of Typecasting: A studio can produce a historical epic starring a Roman general that looks like Brad Pitt, a romantic lead that looks like Zendaya, and a villain that looks like Anthony Hopkins, all for the price of one salary.
  • Hyper-Realism: The "uncanny valley" will be completely crossed. AI actors will possess the ability to learn a character's arc in minutes, adjusting their performance style to match a specific director’s vision without needing physical presence on set.
  • The "Digital Soul": We will see the rise of entirely synthetic characters with no human basis, designed to evoke specific emotions in audiences, potentially surpassing biological limitations (e.g., a character that cries actual tears or runs for 48 hours without fatigue).

2. The "Living Script" and Hyper-Personalization

Current script generation is linear (Chapter 1, Chapter 2). By 2035, script generation will be non-linear and reactive.

  • Real-Time Narrative Adaptation: AI will write scripts on the fly. If an audience member laughs at a specific joke, the AI script will automatically pivot to that sub-plot. If the audience gets bored, the pacing will accelerate. By 2035, "watching a movie" will feel more like playing an open-world RPG where the story evolves based on your engagement.
  • The "Viewer Avatar" Integration: Deepfake technology will allow movies to be personalized instantly. A viewer could watch a thriller where the protagonist looks like them, or where their friends appear as background characters. The film will not be a static artifact but a dynamic experience generated per user.

3. The Legacy Economy: The Return of the Dead

Deepfake technology will mature into a standard tool for preservation and monetization, effectively creating a "digital immortality" market.

  • The "Resurrection" Franchise: Major studios will have archives of deceased legends. By 2035, we will see regular releases of new "projects" starring Paul Walker or Heath Ledger, fully rendered with current motion capture data to ensure their likeness remains legally and technologically viable. This will spark massive legal battles over consent and royalties for estates.
  • Historical Accuracy: Instead of casting actors to look like historical figures (e.g., a white actor playing Othello), deepfakes will be used to digitally alter the appearance of living actors to match historical records instantly, eliminating "colorblind casting" debates.

4. The Impact on Labor and Economics

The disruption will be structural, not just cosmetic.

  • The End of the Union: The Screen Actors Guild (SAG) will likely be unrecognizable. It will likely evolve into a guild for "Digital Rights" and "Performance Rights," governing how digital likenesses are used rather than how human bodies are moved.
  • Disintermediation: The middleman—the casting director, the location scout, the script editor—will be largely replaced by AI agents that optimize the production pipeline for maximum efficiency and lowest cost.
  • The "Long Tail" of Content: Because the cost of generating a blockbuster-level film drops to near zero, the market will shift toward micro-genres. There will be 100,000 films produced in 2035, most of them tailored to hyper-specific niche interests, rather than the 500 global blockbusters of today.

Summary

By 2035, the film industry will no longer be about recording human performance; it will be about engineering emotional experiences. We will live in a world where the line between "real" and "synthetic" is invisible, and the value of a movie will depend entirely on the quality of its narrative engine, not the fame of its actors.

Futuristic Prediction

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This output is part of our open dataset — 5K+ AI responses across 200 models

About GLM 4.7 Flash

Capabilities

ConversationReasoningCode GenerationAnalysis

Categories

TextCode

Specifications

Provider
Zhipu
Released
2026-01-27
Size
MEDIUM
Context
200,000 tokens

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SAME PROMPT

Claude Sonnet 4.6's version

Same prompt, different result

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GLM 4.7 Flash vs Gemini 3.1 Pro Preview

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