Number of steps matters as 1,000 would be (roughly) 12 hours of play. Current ML systems will never last that long, but wondering what the natural play length would be for most. 3 hours? That would be around 250 steps. Without multiple examples of what works and what doesn’t, I don’t think there should be anyone working toward the full 300,000 word target (yet). $500 for 30k word samples (thru the end of the year)? I still think there is to much focus on having “thoughts” that reflect how current ML systems are trained, so best to see what happens organically?
Edit: Saw that a “best example” of what AI Dungeon can do (story called The Long Lost Queen) was 264 actions, so that fits with my estimate. *have to also note a large number of fans are using them for “non-dungeon” fan fiction of an adult nature, which brings into question how story narratives might have a link to the content (ie, how a DM thinks about a combat scene is going to be different than one crafted for sexual content). Do the samples need to represent different genre?
In wake of the censorship regime that AI Dungeon implemented on OpenAI’s request, most people moved to NovelAI, HoloAI, or the open source KoboldAI run on colab or locally. I’ve set up KoboldAI locally and while it’s not as featureful as the others, this incident is another example of why you need to run code locally and not rely on SaaS.
For background, you could read 4chan /vg/’s /aids/ FAQ (“AI Dynamic Storytelling”). For a play-by-play of Latitude and OpenAI screwing things up, Remember what they took from you has the history of them leaking people’s personal stories to a 3rd party platform.
Number of steps matters as 1,000 would be (roughly) 12 hours of play. Current ML systems will never last that long, but wondering what the natural play length would be for most. 3 hours? That would be around 250 steps. Without multiple examples of what works and what doesn’t, I don’t think there should be anyone working toward the full 300,000 word target (yet). $500 for 30k word samples (thru the end of the year)? I still think there is to much focus on having “thoughts” that reflect how current ML systems are trained, so best to see what happens organically?
Edit: Saw that a “best example” of what AI Dungeon can do (story called The Long Lost Queen) was 264 actions, so that fits with my estimate. *have to also note a large number of fans are using them for “non-dungeon” fan fiction of an adult nature, which brings into question how story narratives might have a link to the content (ie, how a DM thinks about a combat scene is going to be different than one crafted for sexual content). Do the samples need to represent different genre?
From what I remember they were supposed to be censoring/blocking things like that.
Have they setup own instance or got around censors?
In wake of the censorship regime that AI Dungeon implemented on OpenAI’s request, most people moved to NovelAI, HoloAI, or the open source KoboldAI run on colab or locally. I’ve set up KoboldAI locally and while it’s not as featureful as the others, this incident is another example of why you need to run code locally and not rely on SaaS.
For background, you could read 4chan /vg/’s /aids/ FAQ (“AI Dynamic Storytelling”). For a play-by-play of Latitude and OpenAI screwing things up, Remember what they took from you has the history of them leaking people’s personal stories to a 3rd party platform.