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@minchoi
Project page: https://t.co/PQX6c6W5qk Demo: https://t.co/pn5kClNcN9
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@minchoiposted on X
Netflix just dropped VOID. This AI removes objects from video... And even corrects the physics after objects/people are removed. Demo in commets👇 https://t.co/vxDdnl6l7B
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Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
75% Engaged
61% Positive
Positive
61%
Negative
14%
Neutral
26%
Key Takeaways
What the community is saying — both sides
Supporting
1
Physics-aware inpainting is the real breakthrough
removing pixels is old; automatically reconstructing correct lighting, shadows and scene behavior after an object is removed is a qualitatively different technical leap.
2
Production-ready, not just a demo
several replies read Netflix’s work as a deliberate move toward a studio-grade production pipeline and the start of hybrid AI/on-set filmmaking.
3
Solves long-standing VFX pain points
tasks that were once extremely difficult (4K blemish removal, on-set fixes) are now presented as easily achievable, promising huge time savings in post.
4
Massive data advantage
Netflix’s scale and training data give it an edge in building robust scene-aware models that smaller teams will struggle to match.
5
Broader applications beyond movies
commenters foresee uses outside filmmaking: video editing, content moderation, commercial production, and any domain that needs realistic scene correction.
6
Ethical and censorship risks
the same tech can be used to edit people out, alter narratives, or enforce social agendas, raising concerns about manipulation, accountability and consent.
7
Job and casting implications
the idea of removing supporting actors or replacing them with AI-generated characters signals potential disruption to casting, residuals and performers’ rights.
8
Not perfect yet
demos show impressive results but also artifacts (e.g., water displacement); people expect iterative improvements rather than flawless output today.
9
Rapid adoption and model fine-tuning expected
observers predict quick integration into pipelines and immediate fine-tuning of models on this approach across the industry.
10
Mixed emotional reaction: awe + wariness
excitement at the technical power and workflow gains sits alongside unease about reality alteration and misuse.
Opposing
1
Netflix shouldn't be doing AI
critics say it's a streaming company, not an AI firm, and question why it's entering this space.
2
Not novel
several replies insist this capability isn't new and is incremental rather than groundbreaking.
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Usable with basic tools
some argue similar results can already be achieved with ordinary video-editing software.
4
Competing tools are better
a few users claim other products (e.g., Kling o
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already outperform Netflix's offering.
already outperform Netflix's offering.
6
Poor visual quality
quick aesthetic judgments: the output “looks shitty” and feels low-grade.
7
Risk of fabricated evidence
people warn this enables doctored videos and could be used to fake crimes or manipulate legal evidence.
8
Race-replacement fears
a number of replies frame the tech as a way to remove or replace people of certain races, expressing alarm over potential biased or malicious use.
Top Reactions
Most popular replies, ranked by engagement
I
@itsdanreeves
the physics correction is interesting, most tools just do inpainting. netflix is def thinking about this as a production pipeline tool not just a demo
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@minchoi
Netflix is onto something but I think it's more than just filmmaking
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@MauricioSolanoG
Looks shitty
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@HeneSupreme
Kling o1 already does a much better job
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@khiowhui
Not something new.
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