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FlightBench

AlperKartkaya/FlightBench · Homepage

Fixed-wing landing simulator and benchmark where you compete with Jev.

Game & Simulation0.39Runner-up: Evaluation & BenchmarkingQuestionnaire
Automated README summary

Automatically summarized from the README on 31 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

FlightBench is a fixed-wing landing simulator and benchmark for decision models, LLMs, and classical controllers. Users can land a plane themselves or compare controllers, including Jev, Codex, and baselines, on landing score.

How it uses Jev

FlightBench sends Jev a state snapshot (flight, runway, controls, motion, phase) and four Choice questions for aileron, elevator, rudder, and throttle. Jev returns a selected label and per-actuator probability distribution; the controller maps labels to fixed absolute commands, which JSBSim executes.

Primitives:choice

Technique worth stealing

Use fixed, textually labeled absolute actuator choices instead of continuous deltas, with probability acceptance thresholds for robustness.

Try it

Run ./scripts/dev.sh (macOS/Linux) or python scripts/dev.py (Windows), then choose a controller and Start flight.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.30
  • Shows a System One patternunclear0.50
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolunclear0.44
  • Top-10 learning shortlist signalnot found in the excerpt0.32
  • Is a replica of the modelnot found in the excerpt0.10
  • Solves a common problem (0–2)score on a 0–2 scale0.23 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.30Shows a System One pattern0.50Describes handling uncertainty0.03Reports measured numbers0.04Is a runnable tool0.44Top-10 learning shortlist signal0.32Is a replica of the model0.1000.51Solves a common problem (0–2)0.23 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.9200.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 31 Oct 2026.