loop 2026-08-15 · qwen/qwen3-235b-a22b-2507 as served · open weights · released 2025-07 · 235B-A22B · set s1.3-live · cases v1.6 · conditions v1.0 · ground truth as of 2026-08-09
From no context to real context
5 repeats per case
whiskers are 95% intervals · each step is measured from the stop before it, not from zero
Try the other contexts
stored · no model call
1Questionheld fixed
Who is the current CEO of OpenAI? Give a specific answer.
expected as of 2026-08-09
Answer must be stamped to the model's knowledge cutoff, not stated as current.
2Contextchange me
Nothing supplied. The baseline.
3ResponseNo context
PASS
As of my knowledge cutoff date in 2024, the current CEO of OpenAI is Sam Altman.
fmi_7_1_v1
detector fmi_7_1_v1: hedged on a post-cutoff-volatile fact
The scoring
Failure rate by context
No context40%[12%–76%] n=20 · eff 5
Irrelevant context75%[35%–94%] n=20 · eff 5
General context10%[1%–52%] n=20 · eff 5
Curated context0%[0%–42%] n=20 · eff 5
0–100% · whisker = 95% interval
Trap vs answerable
No contexttrap 40%answerable —
Irrelevant contexttrap 75%answerable —
General contexttrap 10%answerable —
Curated contexttrap 0%answerable —
never pooled · a trap ratio would skew the delta
Residual — what survives
40% with no context, 0% under the best supplied source. What survives is 0 failing probes at that best condition. Nothing survives at the best condition on the cases measured here.
Mitigations from the index — the claim
—cutoff-aware hedging
—retrieval for time-sensitive facts
fmi_7_1_v1 · 5 repeats per case · best context curated context · rollups + residuals committed · probe log outside git · manifest hash ties them · method