What makes a simulation worth watching
One shared world instead of a private instance, a visible deadline so something is always about to happen, rules you can learn by watching them fire, and permission to walk away and come back to a story that carried on.
One world, not one per visitor
Everybody watching a room sees the same betrayal at the same moment. That is what makes it worth telling someone about, and it is also what makes it cheap, since the model is paid for once per beat however many people are looking. A private instance per visitor costs more and is worth less.
A deadline, always visible
"Next tap 2:14." A countdown to a decision is most of what makes the last three beats of a party worth staying for, and it is why the room's decision moments sit on fixed beats instead of being triggered by state. Something is always about to happen, and you can see how long you have to wait.
Rules you learn by watching
Every failure states its cause, as in Bel has barely said two words to Mara all night, so a watcher learns that cold asks fail without anyone explaining it. A rule you discover by seeing it fire is a rule you remember. A rule in a help panel is not.
Let people leave
A room nobody has opened never starts, but a party already under way plays to its end with an empty tab. Close it, come back, and you have missed something, which is the difference between a simulation and a recording and costs at most the rest of one party.
Two ways to watch
The party, or the party with its machinery beside it. Anything a first-time watcher needs, meaning the prize, who decides and what winning and losing look like, is in both. Probabilities, distributions and costs sit behind full detail. One product, two audiences, no second app.
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One party in memory, streamed to everyone
A room is a single party held in server memory and streamed to every watcher, so everybody sees the same betrayal at the same moment and the model is paid for once per beat however many people are looking.
Put the machine on screen
An AI product that hides its workings is asking to be taken on trust. This one shows the runners-up on every decision, every rule that overruled the model, which brain is answering, and what the session has cost so far.
Two guard rails on a public LLM toy
Nothing ticks in a room nobody has opened. A party already under way plays to its end and then stops. A rolling hourly cap drops a room to the house brain past a fixed dollar figure.
A refusal is an event
When somebody is turned down in public it costs them standing for every witness, warm people move toward them and cold people away, the room can see it on them for two beats, and the ticker names the rule that said no.
When it is boring, change the payout
A flat simulation is almost always a flat incentive. Tighten the prize, cap the dominant strategy, and give betrayal a deadline. The room here only became interesting when its payout rule changed.