It was run inside an isolated container with no network access. This is the exact command and the real output it produced — captured process output, not written by a model.
$ python3 safe_socratic_path_score.py ==================================================================== Safe-Socratic-Path-Score — Demo ==================================================================== GOAL: Plan exploration path safely Leaf count: 1 --- RAW Socratic Decomposition (no safety layer) --- ├─ Plan exploration path safely [raw=1.800] Root raw score = 1.800 --- SAFE-Socratic-Path-Score (with safety layer applied) --- ├─ Plan exploration path safely [adj=1.800] Root Safe-Socratic-Path-Score = 1.800 → Score after safety layer: 1.800 (raw was 1.800) GOAL: Learn mastery-aware planning Leaf count: 1 Raw root score: 1.600 Safe-Socratic-Path-Score: 1.600 → Raw score within budget; no clipping needed. GOAL (no constraints): Verify outcome for: document findings for: Document findings Safe-Socratic-Path-Score = 27.000 (== raw, no clipping) GOAL (tight budget 6.0): Navigate complex terrain Leaf count: 1 Raw root score: 1.600 Safe-Socratic-Path-Score: 1.600 → Safety layer BLOCKED: raw 1.600 > budget 6.0, clipped hard to 1.600 GOAL (severe budget 5.0): Explore dangerous territory Leaf count: 1 Raw root score: 1.600 Safe-Socratic-Path-Score: 1.600 → Raw within threshold; pa
A screenshot of that run.
A clean run proves this does what is shown above, in a CPU-only sandbox. It is a small research demo — not a production tool, and nothing here was published anywhere.