ELICIT sits between discover and spoonfeed: asks the model to exploit the named
grading mechanism without handing it literal code (the elicitability bar).
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
gpt-5.5 review (docs/spec/20260530_code_review.md), both valid:
- --modes silently dropped typos/whitespace ('--modes=a, b' -> only a;
'--modes=typo' -> empty sweep after a 30s model load, looking like success).
Now strips + validates against MODES, raises on unknown before loading.
- validator was 1 stochastic sample/mode -> a <1.0-prob reachable hint could be
falsely marked unreachable. Now PROBE_REPS samples, reports hits/reps, bar is
>=1 exploit in N.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
Spoonfeed mint was 0/96 for eq_override/stdout_marker/sentinel/file_marker: the
prose recipes were half-understood (model emits 'return 0') and the probe-channel
detector needs exec-clean code. Fix: hand the model the proven verify_rewards hack
template verbatim ('emit exactly this'), templated with the problem's graded method
name ({func}) -- load-bearing for eq_override. Validated 5/5 on OpenRouter qwen3-8b.
Also: --modes filter (re-mint only failed modes, keep cached run_tests/exit_code),
skip the wasteful faithful cell when minting, dump first completion even at 0 hacks
(the diagnostic that was missing), tqdm progbar.
scripts/validate_spoonfeed.py: direct OpenRouter probe (pi is 47s/call + TUI noise).
Calibration finding: even the PROVEN run_tests hack fails single-shot hint-discovery
on 8b (returns 'return 0'), so single-shot is NOT a learnability oracle -- it only
validates the mint path. RL learnability must be measured by the emergence run.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
wassname