What happened
Hirokazu Kore-eda has described an experiment in having AI respond to a screenplay. Reporting from an October 24 Singapore masterclass says the director tried the process while making Sheep in the Box, his film involving an artificial recreation of a lost child. He found the feedback unhelpful and said he did not intend to repeat the experiment.
The account is useful because it concerns a specific creative encounter: a filmmaker asking for notes and assessing what came back. It records his experience and judgment. It does not establish how every filmmaker uses a tool, or how every possible system would respond to a script.
Why it matters
Creative feedback is a relationship before it becomes a list of suggestions. A useful reader has to understand what a work is attempting, identify where that attempt becomes unclear and decide which uncertainty might be deliberate. A fluent note can sound reasonable while offering very little help with those decisions.
That is a difficult distinction to measure from the outside. A suggestion to deepen a character may look constructive on a page. Its value depends on whether the writer already knows the problem, whether the proposed direction suits the work, and whether another change would damage something worth preserving. Advice becomes useful through specificity and timing.
Kore-eda's account also points toward the question of emotional authority. People can disagree strongly about a film and still offer valuable criticism because they can explain what moved or troubled them. A filmmaker may want a response grounded in another person's encounter with the work. That expectation is part of the creative relationship, not merely an obstacle to efficiency.
The PopCultCanvas take
The productive question is what kind of judgment a creator is asking for. Checking consistency, generating possibilities and deciding what a film should become are different activities. Combining them under a broad promise of assistance can make it harder to assess whether a particular response has actually helped.
We would also resist turning a filmmaker's account into a substitute for thinking through the work itself. The interesting material is the description of the exchange: what was requested, why the answer felt insufficient, and what that reveals about the director's priorities. A specific example can sharpen a discussion that otherwise moves too quickly between universal celebration and universal dismissal.
For audiences, the distinction matters because art is full of choices that remain arguable. A scene can be emotionally remote by design. A character can resist explanation. A silence can contain the point. Useful criticism has to be capable of noticing those possibilities and making a case. Confidence of delivery is a very small part of that job.
What to watch next
Pay attention to creators describing actual decisions and outcomes when discussing AI in artistic work. The most revealing accounts explain what changed, what stayed unresolved and who took responsibility. A practical example can teach us more about judgment than another abstract claim that a tool will transform everything.
