Some stories never die, they just wait. Buried deep in the dark, they linger until someone brave, or perhaps reckless enough, dares to unearth them. Now, after years of whispers and promises, Guillermo del Toro has finally pulled the sheet back on Frankenstein. The first full trailer has arrived, and it’s as haunting, tragic, and mesmerizing as we’d hoped.
Oscar Isaac steps into the shoes of Dr. Victor Frankenstein, not the hammer-wielding, neck-bolt kind of tale we’ve seen before, but something far more chilling. Here, the terror isn’t stitched together in some lab, it’s in the silence after creation. It’s in the abandonment. It’s in the look of Jacob Elordi’s creature, a figure of sorrow as much as rage, a being who has been denied love and now promises wrath in its place.
Del Toro’s vision leans closer to Mary Shelley’s original nightmare than many past adaptations. This is no lumbering Universal monster; it is something raw, articulate, and deeply human. And yet, it remains horrifying: not because it is unnatural, but because it reflects the darkest corners of our own nature.
Netflix’s official synopsis reminds us: this is a tale of hubris, love twisted into obsession, and creation that spirals into ruin. But the trailer itself suggests more: a story drenched in gothic beauty, painted in shadow and flame, carried by performances that feel destined to scar the imagination for years to come.
After decades of development, Guillermo del Toro’s Frankenstein will awaken in select theaters on October 17 before stalking onto Netflix on November 7. And if the trailer is any indication, this won’t just be another retelling, it will be a resurrection.
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You’re neck-deep in IKEA assembly instructions. Furniture parts lie strewn across the floor. Your new purchase sits half-complete in front of you, mocking your fruitless hours. As an uninterested partner walks in, you let the frustration out:
“I’ve done everything correctly! Look:
connect A with B using M1 screws
connect B with C with the M3 bolt using the key
join BC with D using… wait.”
You suddenly realise you haven’t joined BC with D. It all starts to click into place (literally), et voilà, you’re finished.
It’s a universal experience: the moment you try to explain a problem out loud, it all begins to make sense.
Software engineers call it “rubber duck debugging”. So, where did this term come from and why is it so effective?
Explaining aloud
This well-known software engineering term has its origins in a story told in The Pragmatic Programmer, a book by Andrew Hunt and David Thomas.
The gist of it is that one should obtain a rubber duck, and use it when your code isn’t working – and you don’t know why.
Explain to the duck what your code is supposed to do, and then “go into detail and explain things line by line”.
Soon, the moment of revelation strikes: you realise, as you speak aloud, that what you meant to do and what you actually did are two very different things.
I often bring up rubber duck debugging in my introductory programming lessons, to help students when they can’t understand why their code won’t work.
Despite its roots in programming, the ideas that underpin the rubber duck approach apply to programmers and non-programmers alike.
Why does it work?
Most of us think out loud as we learn with our first books, reading aloud as we go. There’s something illuminating about articulating aloud that helps you “hear” the problem your brain has thus far been unable to detect.
And research by US scholars Logan Fiorella and Richard Meyer has examined how learning can be enhanced through the act of teaching others.
Their experiments found that when students learn the contents of a lesson as though they are going to teach it to others – and then actually teach it to others – they “develop a deeper and more persistent understanding of the material”.
Teaching others forces us to break the material down into conceptual pieces, integrating it with our existing knowledge and organising it in logical ways.
Their research also identifies “self-explaining” as an evidence-based learning strategy.
That’s why our little yellow friend is so helpful; in explaining the problem aloud to your rubber duck, you are teaching it as well.
The rubber duck and their blank, cute face
But why a rubber duck?
Well, talking to a human can come with certain limits.
Humans are contextual, with previous thought and experience; they may miss your mistakes because they’ve assumed something about your previous attempts to solve the problem. They may have internal biases that make it hard for them to see where you’ve gone wrong.
A rubber duck, however, has none of this. As silly as it might look, rubber ducking forces you to explain things in precise detail to that blank (cute) face looking back at you.
Of course, it doesn’t have to be a duck. Any old object (or uninterested party, as I seem to keep finding) will do in a pinch. Some researchers even advocate replacing the duck with a large language model such as ChatGPT. The AI chatbot can, they argue, “act as a virtual, hyper-intelligent, ever-present programming partner to a software engineer” wanting to walk through their code line by line to find errors – and suggest fixes, too.
Others have experimented with a modified rubber duck that, when the user presses a button, nods or offers brief, neutral replies to your explanations. The interactivity, the researchers argue, might make people feel more comfortable talking to a duck.
So, next time you’re stuck on a problem at work, suffering writer’s block or trying to make sense of a convoluted email chain, try turning to a little yellow duck.
See if explaining your problem aloud to them can help you arrive at the answer.
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