Homie don't shake... but these guys do! 😏 👮♂️
See them and the rest of the cast in the vid dropping in 2 days on Nov 8th on https://t.co/UbfmgTL0ln... see you then 😁
This track is BANGIN and I'm stoked to be using it for my debut project.
Get your ears tuned in for "Homie Don't Shake" by Fcukers in 3 days on Nov 8th (AEST).
Keep watching 👀
@jfwong The fans that are excited for your shows and support you aren't on those threads man. We see how toxic it is and dare not speak up or else we get the hate and downvotes too lol.
Just ignore em and focus on how many people watch your show and the energy at your live shows!
My thoughts on AI-assisted vs. AI-driven storytelling:
Long rant, TLDR at bottom of post
In AI-assisted storytelling, the human already knows what story they want to tell and uses the AI as a creative partner, a sort of conceptual “assistant” that provides visuals, descriptions, or plot suggestions to fill in the gaps.
The human’s original vision remains the guiding force, and the AI serves as a tool to execute or enhance it.
This is how most people currently approach AI: as a helper that can speed things up or add flavor, but not fundamentally shift the nature of story creation.
In contrast, AI-driven storytelling means allowing the latent space itself—the underlying patterns and possibilities of the AI model—to shape the narrative as it emerges.
Rather than starting with a story and using AI to illustrate it, you start with a generative process that, through iterative prompting and exploration, reveals hints of characters, settings, conflicts, and themes.
The story “arises” from the aesthetics and concepts encountered along the way. Here, the AI isn’t just assisting; it’s guiding and informing what the story could be.
Human intervention becomes about curation rather than creation in the traditional sense. Instead of writing the script beforehand, humans step in at intervals to prune, refine, or re-contextualize what the AI has generated.
These “curatorial checkpoints” might be moments where the human chooses which direction to pursue from multiple AI outputs, or rephrases prompts to steer the evolving narrative in a more compelling direction.
The degree of human involvement can vary widely: one scenario might have a human reviewing and selecting at every iteration, while another might let the AI ramble on with minimal guidance until the human steps in only at a key moment to shape a rough concept into something more coherent.
Without human curation, the AI’s story output tends to drift—either becoming repetitive, nonsensical, or too superficial. The human’s role is to lend depth, coherence, and cultural resonance. Even if the narrative is emerging from the latent patterns of the model, it’s the human sense of taste and meaning-making that turns it into something worthwhile.
Essentially, the story is “found” rather than “dictated”—discovered in the latent space, then curated into something that resonates.
This approach suggests that AI-driven storytelling is more akin to sculpting. You continually carve, step back, and consider the emerging forms.
Over time, the interplay of human intervention and AI suggestion produces a narrative less like a meticulously planned novel and more like an organism that grows, mutates, and develops as it’s cultivated.
The end result is a story that feels native to the AI medium, rather than simply assisted by it.
TLDR:
>AI-driven storytelling emerges naturally from latent space rather than following a predetermined narrative.
>Human curation at key checkpoints shapes raw AI outputs into coherent, meaningful stories.
>More human input generally leads to richer, more dynamic narratives than those left solely to the AI.
[This post was written by me yelling and ranting to ChatGPT and asking it to make sense of my blabbering]