selalipop
Joined 7 years ago
Joined 7 years ago
That being said, this is very expensive.
- Input: $75.00 / 1M tokens
- Cached input: $37.50 / 1M tokens
- Output: $150.00 / 1M tokens
One of the most interesting applications of models with higher EQ is personalized content generation, but the size and cost here are at odds with that.
https://www.tryspellbound.com/app/scenario/65821/create
(You can click on the dice at the bottom to turn on D&D mode)
I've taken the approach of starting with the #1 problem with Gen AI for this application: that it writes bland prose with not much going on by default.
From there you can layer on systems that address things like object permanence, but even with a basic engine capable of generating fun to read pages of text I think you already get a pretty fun experience
It's a bit more open ended though, are the constraints on actions intentional (ie. they're predetermined), or is the model just adamant on picking from options provided
It's all garbage so no one notices when some of it suddenly disappears off the face of the earth and gets replaced with other garbage: but for the ones making it, their revenue essentially goes to 0 overnight.
Making good revenue but mostly I'm just very bullish based on current revenue and willing to bootstrap
It's an entirely different game once you can generate useful content worth reading with AI. People will even pay you good money for it.
I run a content site that is fully AI generated, https://tryspellbound.com
It writes content that's worth reading, but it's extremely expensive to run. It requires chain of thought, a RAG pipeline, self-revision and more.
I spent most of yesterday testing it and pushed it to beta, but the writing feels stilted and clearly LLM generated. The inflection point will come for content people actually want to read, but it's not going to be GPT-4o mini.
Since existing worlds are (currently) where most of the stories are set, it's worth it to use a closed source models and wrangle their issues with dialogue.
To it's credit though, Llama 3 is the first OSS model trained on enough tokens to not feel lost for most worlds, so I've started routing some traffic to it for free users
The output format the site uses is also really really hard for most models to follow without fine-tuning, but fine-tuning then causes them to pick up the vocabulary of whichever model they were fine tuned on, which is a bit unfortunate
The pricing page is also visible when signed in and in a story (no dedicated pricing page yet but it's in the backlog)
I agree we probably won't magically scale current techniques to AGI, but I also think the local maxima for creative output is going to be high enough that it changes how we approach it the way computers changed how we approach knowledge work.
That's why I focus on it at least.