These are reasonable points, but I am curious about whether you would accept a high-quality run of shorter (but still considerable) length for a payout of <steps>/1000 of $20,000, and approximately the lower bound of run length which seems likely to be valuable? Producing 600 pages of text is an extremely big commitment for uncertain gains, especially with the potential to run out of early slots and no guarantee that it will be included in the 100 later, giving people the option to do even modestly smaller chunks may mean much greater uptake and more high quality work to chose from.
I state: we’d be happy, nay, ecstatic, to get nice coherent complete shorter runs, thereby disproving my concern that short runs won’t be possible to complete, and to pay for them proportionally.
<non-binding handwave, ask again and more formally if serious>I’d say we’d pay $2000/each for the first 50, but after that we might also want 5 longer runs to train on in order to have the option of training for longer-range coherence too. I suppose if somebody has a system to produce only 100-step runs, and nobody offers us 1000-step runs, we’d take what we could get.</non-binding>
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.
These are reasonable points, but I am curious about whether you would accept a high-quality run of shorter (but still considerable) length for a payout of <steps>/1000 of $20,000, and approximately the lower bound of run length which seems likely to be valuable? Producing 600 pages of text is an extremely big commitment for uncertain gains, especially with the potential to run out of early slots and no guarantee that it will be included in the 100 later, giving people the option to do even modestly smaller chunks may mean much greater uptake and more high quality work to chose from.
I state: we’d be happy, nay, ecstatic, to get nice coherent complete shorter runs, thereby disproving my concern that short runs won’t be possible to complete, and to pay for them proportionally.
So, hypothetically, if you receive only nice coherent complete 100-steps runs, will you pay $2000 for the first 100?
<non-binding handwave, ask again and more formally if serious>I’d say we’d pay $2000/each for the first 50, but after that we might also want 5 longer runs to train on in order to have the option of training for longer-range coherence too. I suppose if somebody has a system to produce only 100-step runs, and nobody offers us 1000-step runs, we’d take what we could get.</non-binding>
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.