one dataset · paper, tables, graph, wiki
simgrammar the grammar of simulation

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2 shorts with this record on screen
Short 9: The why button, opening frameplay · 0:39
rendered · short-09.mp4 · drawn from the dataset

short 9 0:39

The why button

transcript

The AI feature our dataset ranks highest for simulation games is a button that asks why.

We scored 42 bets on impact, feasibility, and novelty, and this one came first. Right-click the hospital that closed three months ago, ask why, and get a few sentences, each linked to an event in the game's own log. The model can only say what it can point to. If it can't ground an answer, it says so.

The bet has a deadline. If no game with at least ten thousand Steam reviews ships it by December 31, 2027, answering free-text questions from the player's own save, it loses.

also on the pages for

Short 11: Due on the same day, opening frameplay · 0:35
rendered · short-11.mp4 · drawn from the dataset

short 11 0:35

Due on the same day

transcript

9 predictions about AI in simulation games come due on the same day, December 31, 2027.

Every bet in our dataset carries one, written so a stranger could check it. Take the first: a widely played game lets you ask why something happened in your own save. It only counts if it shipped after October 24, 2026, in a game with ten thousand Steam reviews, answering from your save and not from a manual.

And the person who checks can't be the one who made the bet, or the same AI model that wrote it.

also on the pages for

thesis

Vehicle and job simulators teach through checklists and failure. Professional training uses instructors who watch and talk. Realtime voice models, state-grounded explanation, and player modeling make an instructor that comments on what the player is actually doing, with references to the simulator's telemetry, feasible in consumer sims. The same tool serves professional training and lowers the entry barrier for the most intimidating subgenres.

design sketch

During a landing, the instructor says 'airspeed 12 knots fast, reduce power' based on telemetry, then debriefs with a timeline of deviations. Lessons adapt to repeated errors. The player can ask questions mid-flight by voice.

validation experiment

Add a telemetry-grounded voice instructor to a flight sim landing lesson; compare novice landing success after five attempts with and without the instructor. Success: at least 25 percent higher success with no increase in reported frustration.

key risks

  • Wrong advice in safety-relevant domains if transferred to real training.
  • Voice latency during time-critical maneuvers.
  • Instructor chatter annoys experienced players.

falsifiable prediction

by 2027-12-31

A flight or racing simulator will ship an AI voice instructor that comments on live telemetry.

Official feature first shipped after 2026-10-24 in a flight or racing simulator with at least 5,000 Steam user reviews or a console release; the instructor speaks generated feedback based on the player's live inputs. Third-party apps do not count.

open

appears in

the paper, 2 sections · 2 chapters · 1 episode · 2 shorts
paper

9. Opportunities

linked in this section of the paper

paper
paper

11. Predictions and research agenda

linked in this section of the paper

paper
ch 10

Chapter 10. Bets

linked from the text

book
ch 12

Chapter 12. Keeping score

linked from the text

book
ep 11

Keeping score

on screen at 0:00 cold open, 3:22 four more cards, 6:28 close

episode
short 9

The why button

0:39 · on screen in the short

short
short 11

Due on the same day

0:35 · on screen in the short

short

relations

13 stored edges

provenance

runs in log/runs
2026-10-24
created2026-10-24-synthesissynthesis
2026-10-24
reviewed2026-10-24-review-fixesmaintenance