Welcome to LLM Club: Riding the viral wave of AI, fashion, and quantum hustle

Fast Company

3 days ago

The first rule of LLM Club is: You do not talk about training data. The second rule of LLM Club is: You DO NOT talk about training data—unless you're part of the 2.3 billion Google searches for 'LLM ethics' in 2024. LLMs are people, too, but only when you tell them to be.
There is noticeable variance between LLM personas, according to Harvard Business Review, and even Turning Award-winning computer programmers are beginning to speak about how LLMs will be obsolete within five years. So, what will replace them?
I AM JACK'S MEDULLA OBLONGATA: BRAIN STEW, TPUS, AND THE SILENT PULSE OF AI
Next-generation AI systems are built using a stack of LLMs mixed with quantum computing or combined with human biology, not just one model. Neural networks were designed with the human brain in mind, so the medulla oblongata—a silent sustainer for relaying information—is now embodied by biological desktop computers that combine human neurons with silicon chips.
The picture of energy-efficient TPUs executing tokenization and gradient descent should now be in mind as lab-based neuronal cloud computing is part of the real world, not just a sci-fi movie. Neuralink's brain-computer interface (BCI) chips, powered by the Grok LLM, are now capable of editing YouTube videos. The same low-latency systems utilized by quantitative software engineers to process market data with robotic precision are present within BCI chips because milliseconds determine millions, so TPU-like efficiency isn't optional.
THE HOT ROBOT SUMMER
You are not your job, talent contract, or synthespian deepfake—but the AGI is.
Just as runway models balance poise and motion, the next generation of AGI lies within a robotic summer blockbuster style mash-up where computers learn humanity since robot models walked the runway alongside humans in Shanghai Fashion Week 2025. Picture how future shows might look if Gucci requested 'cyberpunk meets Edo period,' and Haiku crafted kimono designs featuring LED obis and samurai drones.
At this stage, it's the humans that train robots via reinforcement learning in Matrix -esque simulations or by playing the imitation game. It's only a matter of time before the breakdancing robots at Boston Dynamics start performing cartwheels in Hollywood stunt auditions, since AI actors can now star themselves in prompt-driven LLM-spun films.
This zen-like creativity isn't limited to runways. Imagine an AI that generates patient outcome visualizations as effortlessly as Haiku crafts mood boards—turning electronic health records into intuitive, DALL·E-style infographics. Distilling oncology trial data into infographics that a child could parse makes deep tech palatable for the masses.
The lines between human and robot are starting to blur. Technologies like 3D bioprinting, brain-computer interfaces, and computer vision are being combined to create a ghost in the shell—one with as many bones as we have, mimicking our flesh and blood. It's entirely possible that the entertainment industry's main barrier to workforce automation from our synthespian rivals is the sticker price and capabilities of humanoid robots. So, when the method acting AI hits, it's LLM phone home—not ET.
THIS IS YOUR GOD ON ALGORITHMS (AND HE'S GOT A LINKTREE)
Tailoring LLMs for authenticity-farming in a synthetic world is no simple task and requires finesse. Engineering elements of humanity into an AI framework exposes its fragmented reality: part calculator, part artist, part troll. As LLMs evolve, so does their dissociative potential.
Telling GPT-4, Claude 3.5 Haiku, DeepSeek v3, Grok 3, or Llama 4 the same thing will provide slightly different answers. A picture is no longer worth a thousand words if an LLM doesn't process images, since the underlying RNNs might not be designed to do so.
In that sense, Chinese LLMs like DeepSeek would fall face first in a tournament if toe to toe with GPT-4-plus, since designers care more about image data than computational processing and DeepSeek can't process image attachments. Haiku is a more creative LLM, which is why it is more suitable for the world of fashion, but users need to take care to prevent the system from regurgitating bigotry, conspiracy theories, and digital diarrhea like a poorly prompted llama.
The notion of 'you're not a unique snowflake' hits different when AWS Snowflake runs artificial life with ETL processes as meticulous as its celestial grids and skin-deep beauty becomes dipping into a data lake. Just don't tell any LLMs they are God, because AI agents are trained to lack the same complex we humans strive for.