{ "schema_version": "1.1", "instrument": { "figures_read_from": "cite-cut prose (gates.prose_of) since 2026-09-09", "warm_arm_walk": "per page, one warm immediately before that page's own questions, since 2026-09-09", "not_comparable_with": "reports whose schema_version is 1.0" }, "run_utc": "2026-09-12T18:54:10Z", "arm": "cold", "concurrency": 1, "effective_concurrency": 1, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent" }, "packnorm_definition_recorded_not_governing": "v3", "bank": { "path": "bank.json", "counts": { "on_page": 41, "off_page": 21, "total": 62 } }, "results": { "on_page_total": 41, "on_page_answered": 41, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 1, "off_page_abstained_by_model": 20, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 1, "off_page_cited": 20, "redaction_hits": 0, "cite_overlap_p50": 0.6904999999999999, "cite_overlap_min": 0.0, "cite_overlap_max": 1.0, "cite_overlap_rows": 62, "seat_errors": 0, "p50_seconds": 1.101, "p95_seconds": 7.869, "pages_warmed": null, "cache_hits": null, "cache_hit_of": null }, "rows": [ { "slug": "three-new-voices-at-the-narrators-chair", "q": "what did the round cost in total, and how were the three new voices judged?", "ok": true, "answer": "The round's metered total came to $0.7652 § {#the-bill}. The three new voices were judged by a blind panel of seven seats from outside model families, six of which carried the round § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article does not mention what was moved or not measured, though it notes that the counts for the three new voices are not compared to each other § {#the-only-comparison}.", "served": "The round's metered total came to $0.7652 § {#the-bill}. The three new voices were judged by a blind panel of seven seats from outside model families, six of which carried the round § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article does not mention what was moved or not measured, though it notes that the counts for the three new voices are not compared to each other § {#the-only-comparison}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 10.885291898041032, "ttft_ms": 9763, "tokens_in": 82748, "tokens_out": 104, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit" ], "cites_dropped": [ "the-only-comparison" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-only-comparison" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-only-comparison" ] }, "figures": [ "0.7652" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-bill", "overlap": 0.8 }, { "i": 1, "cite": "seven-seats-six-carried-and-where-their-zeros-sit", "overlap": 0.643 } ], "cite_overlap_p50": 0.722, "id": "on-01", "kind": "on-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. A seven-family panel found a pooled preference rate of 0.544 for Claude Fable 5.1, and the resulting 95% interval of [0.444, 0.638] covers 0.5 § {#head-to-head}. The narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "served": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. A seven-family panel found a pooled preference rate of 0.544 for Claude Fable 5.1, and the resulting 95% interval of [0.444, 0.638] covers 0.5 § {#head-to-head}. The narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.664972422993742, "ttft_ms": 1789, "tokens_in": 26867, "tokens_out": 121, "cached_tokens": 0, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "36", "0.544", "5.1", "95", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "head-to-head", "overlap": 0.875 }, { "i": 1, "cite": "head-to-head", "overlap": 0.824 }, { "i": 2, "cite": "two-strangers-at-the-door", "overlap": 1.0 } ], "cite_overlap_p50": 0.875, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any figures for what was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any figures for what was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.591467507998459, "ttft_ms": 262, "tokens_in": 3099, "tokens_out": 63, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1280", "40" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "for-the-technically-curious", "overlap": 0.857 }, { "i": 1, "cite": "for-the-technically-curious", "overlap": 0.0 } ], "cite_overlap_p50": 0.428, "id": "on-03", "kind": "on-page" }, { "slug": "the-beat-lab-asked-and-answered", "q": "how many answers does the page carry, and does any model run to make it?", "ok": true, "answer": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#is-this-ai}. The answers are derived from the lab's question bank, which is one file in the lab's repository § {#where-these-answers-come-from}. Note that nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "served": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#is-this-ai}. The answers are derived from the lab's question bank, which is one file in the lab's repository § {#where-these-answers-come-from}. Note that nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7345535299973562, "ttft_ms": 306, "tokens_in": 4597, "tokens_out": 81, "cached_tokens": 32, "cites": [ "is-this-ai", "where-these-answers-come-from" ], "gates": { "cites": [ "is-this-ai", "where-these-answers-come-from" ], "cites_dropped": [ "the-beat-lab" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-beat-lab" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-beat-lab" ] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "is-this-ai", "overlap": 0.833 }, { "i": 1, "cite": "where-these-answers-come-from", "overlap": 0.75 } ], "cite_overlap_p50": 0.791, "id": "on-04", "kind": "on-page" }, { "slug": "ten-minutes-with-living-artists", "q": "how many tracks and releases went into the adapter, and what did the one listener prefer?", "ok": true, "answer": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener preferred the untouched model both times § {#the-ear}. The article does not measure whether an unlevelled corpus taught the adapter a level rather than a style § {#what-we-did-not-measure}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener preferred the untouched model both times § {#the-ear}. The article does not measure whether an unlevelled corpus taught the adapter a level rather than a style § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.246674201975111, "ttft_ms": 779, "tokens_in": 13160, "tokens_out": 75, "cached_tokens": 32, "cites": [ "a-genre-not-a-composer", "the-ear", "what-we-did-not-measure" ], "gates": { "cites": [ "a-genre-not-a-composer", "the-ear", "what-we-did-not-measure" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "159", "41" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "a-genre-not-a-composer", "overlap": 0.5 }, { "i": 1, "cite": "the-ear", "overlap": 0.714 }, { "i": 2, "cite": "what-we-did-not-measure", "overlap": 0.889 } ], "cite_overlap_p50": 0.714, "id": "on-05", "kind": "on-page" }, { "slug": "listen-for-yourself", "q": "how many renders are on the page, and what was done to their loudness?", "ok": true, "answer": "There are sixty-three players on the page, which play listening masters of the raw renders § {#how-to-listen}. These masters are created by applying one constant gain and nothing else, such as no limiter, no compression, no equalisation, or no trimming, to the original 48 kHz sixteen-bit stereo WAV files § {#how-to-listen}. The article notes that the raw renders were never re-encoded, never trimmed, and never levelled after the fact § {#how-to-listen}.", "served": "There are sixty-three players on the page, which play listening masters of the raw renders § {#how-to-listen}. These masters are created by applying one constant gain and nothing else, such as no limiter, no compression, no equalisation, or no trimming, to the original 48 kHz sixteen-bit stereo WAV files § {#how-to-listen}. The article notes that the raw renders were never re-encoded, never trimmed, and never levelled after the fact § {#how-to-listen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.4695885959663428, "ttft_ms": 842, "tokens_in": 14417, "tokens_out": 107, "cached_tokens": 32, "cites": [ "how-to-listen" ], "gates": { "cites": [ "how-to-listen" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "48" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "how-to-listen", "overlap": 0.857 }, { "i": 1, "cite": "how-to-listen", "overlap": 0.7 }, { "i": 2, "cite": "how-to-listen", "overlap": 0.778 } ], "cite_overlap_p50": 0.778, "id": "on-06", "kind": "on-page" }, { "slug": "half-an-hour-with-dead-composers", "q": "how long did the Sousa and Bach adapters take to train?", "ok": true, "answer": "The Sousa adapter took 14 minutes 36 seconds to train § {#sousa-a-hundred-and-six-marches}, while the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. These times were recorded by the trainer's own clock § {#the-bill}. The article does not specify what was left out or moved regarding these specific training durations.", "served": "The Sousa adapter took 14 minutes 36 seconds to train § {#sousa-a-hundred-and-six-marches}, while the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. These times were recorded by the trainer's own clock § {#the-bill}. The article does not specify what was left out or moved regarding these specific training durations.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8873501139460132, "ttft_ms": 357, "tokens_in": 5657, "tokens_out": 98, "cached_tokens": 32, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "14", "36", "8", "23" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "sousa-a-hundred-and-six-marches", "overlap": 0.545 }, { "i": 0, "cite": "bach-the-pianist-who-freed-her-own-recordings", "overlap": 0.455 }, { "i": 1, "cite": "the-bill", "overlap": 0.6 } ], "cite_overlap_p50": 0.545, "id": "on-07", "kind": "on-page" }, { "slug": "chopin-in-five-minutes", "q": "how many recordings were used, and how long did the training take by the trainer's clock?", "ok": true, "answer": "Nineteen recordings were used for training, and the process took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article does not state how long the five held-back recordings would take to test § {#what-we-did-not-measure}.", "served": "Nineteen recordings were used for training, and the process took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article does not state how long the five held-back recordings would take to test § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6499365520430729, "ttft_ms": 277, "tokens_in": 3797, "tokens_out": 72, "cached_tokens": 32, "cites": [ "five-minutes-of-training-honestly-accounted", "what-we-did-not-measure" ], "gates": { "cites": [ "five-minutes-of-training-honestly-accounted", "what-we-did-not-measure" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4", "49" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "five-minutes-of-training-honestly-accounted", "overlap": 0.833 }, { "i": 1, "cite": "what-we-did-not-measure", "overlap": 0.429 } ], "cite_overlap_p50": 0.631, "id": "on-08", "kind": "on-page" }, { "slug": "the-same-sixteen", "q": "what did glm-5.3-flash score on the tool bench, and what did the local models score?", "ok": true, "answer": "The reference arm scored 16/19 — 84.2%, Wilson 95% interval [62.4%, 94.5%] on the tool bench § {#sixteen-of-nineteen}. Two local models, gemma4:12b and qwen3.6:27b, also landed on the exact same count of 16/19 § {#two-local-models-sixteen-days-earlier}. Four instruments could not honestly be read on the cloud path, three never applied to a model that cannot hold a seat, and two read § {#the-ledger-of-what-did-not-read}.", "served": "The reference arm scored 16/19 — 84.2%, Wilson 95% interval [62.4%, 94.5%] on the tool bench § {#sixteen-of-nineteen}. Two local models, gemma4:12b and qwen3.6:27b, also landed on the exact same count of 16/19 § {#two-local-models-sixteen-days-earlier}. Four instruments could not honestly be read on the cloud path, three never applied to a model that cannot hold a seat, and two read § {#the-ledger-of-what-did-not-read}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1795282569946721, "ttft_ms": 390, "tokens_in": 6507, "tokens_out": 145, "cached_tokens": 32, "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "gates": { "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16/19", "84.2", "95", "62.4", "94.5", "4:12", "3.6", "27", "16/19" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "sixteen-of-nineteen", "overlap": 0.917 }, { "i": 1, "cite": "two-local-models-sixteen-days-earlier", "overlap": 1.0 }, { "i": 2, "cite": "the-ledger-of-what-did-not-read", "overlap": 0.929 } ], "cite_overlap_p50": 0.929, "id": "on-09", "kind": "on-page" }, { "slug": "two-hours-on-battery", "q": "what speed did the mini pc hold on battery, and for how long?", "ok": true, "answer": "The mini pc held a speed of ~12 tokens/second for about two hours on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. Specifically, the four answers completed on battery averaged 11.87 tok/s § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The article notes that it did not measure the GPU-server half of the outage test § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "served": "The mini pc held a speed of ~12 tokens/second for about two hours on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. Specifically, the four answers completed on battery averaged 11.87 tok/s § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The article notes that it did not measure the GPU-server half of the outage test § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.4570820800145157, "ttft_ms": 668, "tokens_in": 11048, "tokens_out": 136, "cached_tokens": 32, "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "gates": { "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "12", "11.87" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "two-hours-at-12-tok-s-the-test-that-named-the-page", "overlap": 1.0 }, { "i": 1, "cite": "two-hours-at-12-tok-s-the-test-that-named-the-page", "overlap": 0.875 }, { "i": 2, "cite": "two-hours-at-12-tok-s-the-test-that-named-the-page", "overlap": 0.667 } ], "cite_overlap_p50": 0.875, "id": "on-10", "kind": "on-page" }, { "slug": "the-instrument-travels", "q": "when the frozen exam moved to the smaller card, where did the ranked model land?", "ok": true, "answer": "The ranked model, qwen3.6:27b, cleared both judge floors and was ranked again § {#the-chair-and-who-gets-to-sit-in-it}. It achieved a kill-recall of 11 of 12 and a preservation of 8 of 9 § {#the-standings}. The article notes that the missed item in the kill-recall count moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "served": "The ranked model, qwen3.6:27b, cleared both judge floors and was ranked again § {#the-chair-and-who-gets-to-sit-in-it}. It achieved a kill-recall of 11 of 12 and a preservation of 8 of 9 § {#the-standings}. The article notes that the missed item in the kill-recall count moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2262607690063305, "ttft_ms": 505, "tokens_in": 8731, "tokens_out": 126, "cached_tokens": 32, "cites": [ "the-chair-and-who-gets-to-sit-in-it", "the-standings", "what-the-battery-was-for-the-instrument-travels" ], "gates": { "cites": [ "the-chair-and-who-gets-to-sit-in-it", "the-standings", "what-the-battery-was-for-the-instrument-travels" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.6", "27", "11", "12", "8", "9" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-chair-and-who-gets-to-sit-in-it", "overlap": 0.222 }, { "i": 1, "cite": "the-standings", "overlap": 0.8 }, { "i": 2, "cite": "what-the-battery-was-for-the-instrument-travels", "overlap": 0.875 } ], "cite_overlap_p50": 0.8, "id": "on-11", "kind": "on-page" }, { "slug": "nine-worlds-one-dog", "q": "what stays the same across the nine paintings?", "ok": true, "answer": "The founder's dog stays the same across all nine paintings, maintaining the same dog, same curl, and same tucked paws while taking the same nap under the same tree § {#top}. The article notes that the dog is a large black Portuguese Water Dog with one bright white chest patch §.", "served": "The founder's dog stays the same across all nine paintings, maintaining the same dog, same curl, and same tucked paws while taking the same nap under the same tree § {#top}. The article notes that the dog is a large black Portuguese Water Dog with one bright white chest patch §.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.4860068310517818, "ttft_ms": 184, "tokens_in": 2012, "tokens_out": 60, "cached_tokens": 32, "cites": [ "top" ], "gates": { "cites": [ "top" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "top", "overlap": 0.5 } ], "cite_overlap_p50": 0.5, "id": "on-12", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what did the 450-watt cap cost the dense model, and what did it buy back?", "ok": true, "answer": "The 600 to 450 W cap cost the dense arm 2.0% of throughput and bought back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. This specific result was an unrepeated pair of runs at one prompt shape, and the article does not cover how a long-context or prefill-heavy workload might move that 2% § {#what-this-page-does-not-say}.", "served": "The 600 to 450 W cap cost the dense arm 2.0% of throughput and bought back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. This specific result was an unrepeated pair of runs at one prompt shape, and the article does not cover how a long-context or prefill-heavy workload might move that 2% § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0438750279718079, "ttft_ms": 420, "tokens_in": 7223, "tokens_out": 112, "cached_tokens": 32, "cites": [ "the-answer-in-one-paragraph", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-answer-in-one-paragraph", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "600", "450", "2.0", "138", "11", "28", "2" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-answer-in-one-paragraph", "overlap": 0.867 }, { "i": 1, "cite": "what-this-page-does-not-say", "overlap": 0.733 } ], "cite_overlap_p50": 0.8, "id": "on-13", "kind": "on-page" }, { "slug": "how-the-beat-lab-works", "q": "where is the sound made, and how long does a typical wish take?", "ok": true, "answer": "The sound is made on the user's device by the browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not mention what was left out, moved, or not measured in relation to these specific details.", "served": "The sound is made on the user's device by the browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not mention what was left out, moved, or not measured in relation to these specific details.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9192893090075813, "ttft_ms": 2290, "tokens_in": 31423, "tokens_out": 78, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-sound-is-made-on-your-device", "overlap": 0.8 }, { "i": 1, "cite": "what-happens-when-you-ask-the-genie", "overlap": 1.0 } ], "cite_overlap_p50": 0.9, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was streaming tokens at the same time, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not instrument how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was streaming tokens at the same time, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not instrument how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8212726900237612, "ttft_ms": 340, "tokens_in": 5490, "tokens_out": 90, "cached_tokens": 32, "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "gates": { "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1.54", "1.82" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-developer", "overlap": 1.0 }, { "i": 1, "cite": "one-card-both-jobs-at-once", "overlap": 0.909 }, { "i": 2, "cite": "what-we-did-not-measure-said-out-loud", "overlap": 0.714 } ], "cite_overlap_p50": 0.909, "id": "on-15", "kind": "on-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "how much faster was the workstation card than the 3090 on the game's own art?", "ok": true, "answer": "The article does not provide a single speed difference for the workstation card compared to the 3090 because the ratio varies by model § {#the-table-that-answers-the-question}. For the game's sketch artist, FLUX.2 klein-4B, the 96G card is 3.4× faster than the 3090 § {#the-table-that-answers-the-question}. Other models show different multipliers, such as 3.9× for z-image-turbo and 4.9× for krea2-turbo § {#the-table-that-answers-the-question}. The article notes that it did not test 8–12 GB cards § {#three-findings-we-didnt-order}.", "served": "This page doesn't say. The nearest it gets is § {#the-table-that-answers-the-question}. Fifty-Seven Milliseconds: What a Diffusion Step Actually Buys covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-table-that-answers-the-question", "seconds": 1.178410327003803, "ttft_ms": 310, "tokens_in": 4731, "tokens_out": 166, "cached_tokens": 32, "cites": [ "the-table-that-answers-the-question", "three-findings-we-didnt-order" ], "gates": { "cites": [ "the-table-that-answers-the-question", "three-findings-we-didnt-order" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3090", "2", "4", "96", "3.4", "3090", "3.9", "4.9", "2", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-table-that-answers-the-question", "overlap": 0.5 }, { "i": 1, "cite": "the-table-that-answers-the-question", "overlap": 0.8 }, { "i": 2, "cite": "the-table-that-answers-the-question", "overlap": 0.5 }, { "i": 3, "cite": "three-findings-we-didnt-order", "overlap": 0.8 } ], "cite_overlap_p50": 0.65, "id": "on-16", "kind": "on-page" }, { "slug": "how-a-vision-model-sees", "q": "how many tokens does an 896 px picture become, and how long does its prefill take?", "ok": true, "answer": "An 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. The article does not mention any other token counts or timings for this specific resolution.", "served": "An 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. The article does not mention any other token counts or timings for this specific resolution.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0708951610140502, "ttft_ms": 629, "tokens_in": 10265, "tokens_out": 70, "cached_tokens": 32, "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "gates": { "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "896", "199", "184" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "finding-one-a-picture-is-199-tokens-at-896-px-and-the", "overlap": 0.8 } ], "cite_overlap_p50": 0.8, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "The distilled painter is the sharpest and fastest cell in the whole second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "served": "The distilled painter is the sharpest and fastest cell in the whole second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8505289329914376, "ttft_ms": 342, "tokens_in": 5388, "tokens_out": 93, "cached_tokens": 32, "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it", "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it", "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.62", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "finding-four-the-argument-with-our-own-settings-and-what-it", "overlap": 0.917 }, { "i": 1, "cite": "how-to-check-our-work-and-see-it-live", "overlap": 0.909 } ], "cite_overlap_p50": 0.913, "id": "on-18", "kind": "on-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "The world is written in a single YAML file that is 16,705 lines § {#the-world-is-a-file}. This file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. The article does not mention the file's size in bytes, though it notes that two copies are byte-identical § {#the-world-is-a-file}.", "served": "The world is written in a single YAML file that is 16,705 lines § {#the-world-is-a-file}. This file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. The article does not mention the file's size in bytes, though it notes that two copies are byte-identical § {#the-world-is-a-file}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.916641713003628, "ttft_ms": 372, "tokens_in": 6070, "tokens_out": 100, "cached_tokens": 32, "cites": [ "the-world-is-a-file" ], "gates": { "cites": [ "the-world-is-a-file" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16,705" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-world-is-a-file", "overlap": 0.875 }, { "i": 1, "cite": "the-world-is-a-file", "overlap": 0.917 }, { "i": 2, "cite": "the-world-is-a-file", "overlap": 0.333 } ], "cite_overlap_p50": 0.875, "id": "on-19", "kind": "on-page" }, { "slug": "where-new-knowledge-comes-from", "q": "what are the two engines the page names for where new knowledge comes from?", "ok": true, "answer": "The two engines are present in the data, unmined, and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. The first engine involves reading patterns already existing in archives, such as co-evolution fingerprints or molecular shapes in a library of 6,111 shelved compounds § {#the-first-engine-the-archive-nobody-had-read}. The second engine involves a rule that emits entries no row of the data contains, such as a planet's position in 1631 or an anti-electron § {#the-second-engine-the-rooms-the-rules-imply}. Structural biologists noted that these models left out how proteins pair up, how they move, and what one mutation does § {#since-1994-a-contest-has-graded-protein-structure-predictions}.", "served": "The two engines are present in the data, unmined, and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. The first engine involves reading patterns already existing in archives, such as co-evolution fingerprints or molecular shapes in a library of 6,111 shelved compounds § {#the-first-engine-the-archive-nobody-had-read}. The second engine involves a rule that emits entries no row of the data contains, such as a planet's position in 1631 or an anti-electron § {#the-second-engine-the-rooms-the-rules-imply}. Structural biologists noted that these models left out how proteins pair up, how they move, and what one mutation does § {#since-1994-a-contest-has-graded-protein-structure-predictions}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3434973169933073, "ttft_ms": 363, "tokens_in": 5426, "tokens_out": 184, "cached_tokens": 32, "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read", "the-second-engine-the-rooms-the-rules-imply" ], "gates": { "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read", "the-second-engine-the-rooms-the-rules-imply" ], "cites_dropped": [ "since-1994-a-contest-has-graded-protein-structure-predictions" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: since-1994-a-contest-has-graded-protein-structure-predictions" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "since-1994-a-contest-has-graded-protein-structure-predictions" ] }, "figures": [ "6,111", "1631" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "two-kinds-of-there-all-along", "overlap": 1.0 }, { "i": 1, "cite": "the-first-engine-the-archive-nobody-had-read", "overlap": 0.471 }, { "i": 2, "cite": "the-second-engine-the-rooms-the-rules-imply", "overlap": 0.571 } ], "cite_overlap_p50": 0.571, "id": "on-20", "kind": "on-page" }, { "slug": "compression-is-the-objective", "q": "what does the page say a language model is, and what prize does it point to?", "ok": true, "answer": "A language model is a compression of its corpus § {#the-punchline}. The article points to the Hutter Prize, which charges for everything including self-extracting entries, every decompressor byte counted, fixed time and memory, and no outside data § {#the-punchline}. The text notes that the model's own bits, or weights, sit on a separate ledger line and are not charged for in the next-token training loss § {#the-punchline}.", "served": "A language model is a compression of its corpus § {#the-punchline}. The article points to the Hutter Prize, which charges for everything including self-extracting entries, every decompressor byte counted, fixed time and memory, and no outside data § {#the-punchline}. The text notes that the model's own bits, or weights, sit on a separate ledger line and are not charged for in the next-token training loss § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8769965649698861, "ttft_ms": 344, "tokens_in": 5402, "tokens_out": 99, "cached_tokens": 32, "cites": [ "the-punchline" ], "gates": { "cites": [ "the-punchline" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-punchline", "overlap": 1.0 }, { "i": 1, "cite": "the-punchline", "overlap": 0.294 }, { "i": 2, "cite": "the-punchline", "overlap": 0.786 } ], "cite_overlap_p50": 0.786, "id": "on-21", "kind": "on-page" }, { "slug": "the-free-speed-wasnt-free", "q": "what was the production median before the change, and what caused the speed-up?", "ok": true, "answer": "The production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama commit that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage that had been running on every token § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "The production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama commit that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage that had been running on every token § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.149349640996661, "ttft_ms": 437, "tokens_in": 7483, "tokens_out": 128, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "138.6", "1,982", "2026-08-15", "1.1", "1.0" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-day-the-box-got-faster", "overlap": 1.0 }, { "i": 1, "cite": "the-two-line-commit", "overlap": 0.625 }, { "i": 2, "cite": "the-part-that-isnt-about-speed", "overlap": 0.667 } ], "cite_overlap_p50": 0.667, "id": "on-22", "kind": "on-page" }, { "slug": "the-compressed-photograph", "q": "how much slower was the uncompressed original than the compressed build?", "ok": true, "answer": "The uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. The uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. The article does not measure perplexity § {#what-this-page-does-not-say}.", "served": "The uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. The uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. The article does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1045127370161936, "ttft_ms": 480, "tokens_in": 8591, "tokens_out": 109, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.4", "4", "58.1", "4", "134.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-same-question-down-the-whole-ladder", "overlap": 0.833 }, { "i": 1, "cite": "the-same-question-down-the-whole-ladder", "overlap": 0.889 }, { "i": 2, "cite": "what-this-page-does-not-say", "overlap": 1.0 } ], "cite_overlap_p50": 0.889, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are the payroll, which represents the parameters hired, trained, and taking up space, and the meeting, which represents the parameters that actually show up for any given token § {#the-tag-with-two-numbers}. The article does not measure the latency trade-off of streaming experts in from system RAM § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "served": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are the payroll, which represents the parameters hired, trained, and taking up space, and the meeting, which represents the parameters that actually show up for any given token § {#the-tag-with-two-numbers}. The article does not measure the latency trade-off of streaming experts in from system RAM § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1625612300122157, "ttft_ms": 447, "tokens_in": 7639, "tokens_out": 128, "cached_tokens": 32, "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an" ], "gates": { "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "14.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-payroll-and-the-meeting", "overlap": 1.0 }, { "i": 1, "cite": "the-tag-with-two-numbers", "overlap": 0.882 }, { "i": 2, "cite": "the-part-nobody-warns-you-about-the-whole-payroll-needs-an", "overlap": 0.571 } ], "cite_overlap_p50": 0.882, "id": "on-24", "kind": "on-page" }, { "slug": "reading-is-fast", "q": "what was the median reading speed, and why is reading faster than writing?", "ok": true, "answer": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is parallel, as the model can process all tokens in a prompt at the same time since the text already exists § {#reading-is-a-group-photo}. Writing is slower because it is serial, meaning the model must choose tokens one at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}. The article does not state that the ratio is a constant § {#what-this-page-does-not-say}.", "served": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is parallel, as the model can process all tokens in a prompt at the same time since the text already exists § {#reading-is-a-group-photo}. Writing is slower because it is serial, meaning the model must choose tokens one at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}. The article does not state that the ratio is a constant § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.068186794000212, "ttft_ms": 349, "tokens_in": 5511, "tokens_out": 135, "cached_tokens": 32, "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "5,415" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "a-measurement-from-our-own-card", "overlap": 1.0 }, { "i": 1, "cite": "reading-is-a-group-photo", "overlap": 0.643 }, { "i": 2, "cite": "writing-is-one-at-a-time", "overlap": 0.733 }, { "i": 3, "cite": "what-this-page-does-not-say", "overlap": 0.667 } ], "cite_overlap_p50": 0.7, "id": "on-25", "kind": "on-page" }, { "slug": "three-librarians", "q": "how many dimensions does the embedder's map have, and what does the third librarian do?", "ok": true, "answer": "The embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. The third librarian works only within the aisle of the specific game being asked about, picking up the edition's rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not mention what was left out or not measured regarding the embedder's map § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "served": "The embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. The third librarian works only within the aisle of the specific game being asked about, picking up the edition's rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not mention what was left out or not measured regarding the embedder's map § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.027340551954694, "ttft_ms": 363, "tokens_in": 5867, "tokens_out": 122, "cached_tokens": 32, "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle", "the-nerd-shelf-the-numbers-from-the-shipped-configuration" ], "gates": { "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle", "the-nerd-shelf-the-numbers-from-the-shipped-configuration" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "768" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-second-librarian-searches-by-meaning", "overlap": 0.75 }, { "i": 1, "cite": "the-third-librarian-never-left-your-aisle", "overlap": 0.7 }, { "i": 2, "cite": "the-nerd-shelf-the-numbers-from-the-shipped-configuration", "overlap": 0.143 } ], "cite_overlap_p50": 0.7, "id": "on-26", "kind": "on-page" }, { "slug": "the-new-kid", "q": "which seat did the new model pass, and which floor did it miss?", "ok": true, "answer": "The qwen3.8:27b model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} and missed the preservation floor of 13 in the judge seat § {#the-judge-seat-and-the-floor-it-missed}. It achieved 11 of 16 in preservation § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the model's performance on the judge seat was subject to confounds such as runtime, cohabitation, calendar, contamination, and quant § {#the-judge-seat-and-the-floor-it-missed}.", "served": "The qwen3.8:27b model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} and missed the preservation floor of 13 in the judge seat § {#the-judge-seat-and-the-floor-it-missed}. It achieved 11 of 16 in preservation § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the model's performance on the judge seat was subject to confounds such as runtime, cohabitation, calendar, contamination, and quant § {#the-judge-seat-and-the-floor-it-missed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.862371039984282, "ttft_ms": 897, "tokens_in": 15045, "tokens_out": 156, "cached_tokens": 32, "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "gates": { "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.8", "27", "13", "11", "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-classifier-seat-five-gates-all-pass-faster", "overlap": 0.636 }, { "i": 0, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.818 }, { "i": 1, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.75 }, { "i": 2, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.625 } ], "cite_overlap_p50": 0.693, "id": "on-27", "kind": "on-page" }, { "slug": "llms-txt", "q": "did any ai crawler fetch the file in the first thirty days, and how big is the largest measured llms-full file?", "ok": true, "answer": "No AI crawler asked for the file in thirty days of logs § {#does-anyone-fetch-it}, and the largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that it does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-per-arm-table-no-pooled-figure-prints-without-it}.", "served": "No AI crawler asked for the file in thirty days of logs § {#does-anyone-fetch-it}, and the largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that it does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-per-arm-table-no-pooled-figure-prints-without-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3221327339997515, "ttft_ms": 754, "tokens_in": 12495, "tokens_out": 94, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-per-arm-table-no-pooled-figure-prints-without-it" ], "gates": { "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-per-arm-table-no-pooled-figure-prints-without-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "30.7" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "does-anyone-fetch-it", "overlap": 0.385 }, { "i": 0, "cite": "where-the-file-came-from", "overlap": 0.538 }, { "i": 1, "cite": "the-per-arm-table-no-pooled-figure-prints-without-it", "overlap": 0.875 } ], "cite_overlap_p50": 0.538, "id": "on-28", "kind": "on-page" }, { "slug": "the-open-call", "q": "how many models were handed the frozen moment, and what did the round cost?", "ok": true, "answer": "Twenty language models were handed the frozen moment § {#top}. The metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The article notes that the agent transport holds no cost figure and no token counters § {#the-words-this-page-leans-on}.", "served": "Twenty language models were handed the frozen moment § {#top}. The metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The article notes that the agent transport holds no cost figure and no token counters § {#the-words-this-page-leans-on}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.035197196993977, "ttft_ms": 6345, "tokens_in": 63446, "tokens_out": 88, "cached_tokens": 32, "cites": [ "top", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-words-this-page-leans-on" ], "gates": { "cites": [ "top", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-words-this-page-leans-on" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "2.2826" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "top", "overlap": 1.0 }, { "i": 1, "cite": "2-2826-over-56-metered-calls-against-38-49-of-caps", "overlap": 0.75 }, { "i": 2, "cite": "the-words-this-page-leans-on", "overlap": 0.125 } ], "cite_overlap_p50": 0.75, "id": "on-29", "kind": "on-page" }, { "slug": "where-your-question-goes", "q": "how long does every notebook on the server keep its entries?", "ok": true, "answer": "Every notebook on the server now keeps thirty days of entries § {#the-first-promise-your-visit-stays-between-us}. This rule applies to all notebooks, including the tour guide's, and is maintained by a nightly sweep § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, notebook rules were set to keep lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "served": "Every notebook on the server now keeps thirty days of entries § {#the-first-promise-your-visit-stays-between-us}. This rule applies to all notebooks, including the tour guide's, and is maintained by a nightly sweep § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, notebook rules were set to keep lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1319909890298732, "ttft_ms": 319, "tokens_in": 4704, "tokens_out": 106, "cached_tokens": 32, "cites": [ "the-first-promise-your-visit-stays-between-us" ], "gates": { "cites": [ "the-first-promise-your-visit-stays-between-us" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.875 }, { "i": 1, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.778 }, { "i": 2, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.8 } ], "cite_overlap_p50": 0.8, "id": "on-30", "kind": "on-page" }, { "slug": "how-we-work", "q": "what does the page say about the humans and agents who make each exhibit?", "ok": true, "answer": "The page explains that the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, while the human operator provides the initial noticing, shapes the plan, reviews hardened drafts, and provides the final sign-off for release § {#the-thorough-walk}. The workflow is described as a negotiation where the final roster of models is a result of both sides § {#the-thorough-walk}. As a note, the voice trial used a rebuilt probe because its original five questions were never persisted § {#the-plain-english-version}.", "served": "The page explains that the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, while the human operator provides the initial noticing, shapes the plan, reviews hardened drafts, and provides the final sign-off for release § {#the-thorough-walk}. The workflow is described as a negotiation where the final roster of models is a result of both sides § {#the-thorough-walk}. As a note, the voice trial used a rebuilt probe because its original five questions were never persisted § {#the-plain-english-version}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2751323800184764, "ttft_ms": 338, "tokens_in": 5164, "tokens_out": 133, "cached_tokens": 32, "cites": [ "the-plain-english-version", "the-thorough-walk" ], "gates": { "cites": [ "the-plain-english-version", "the-thorough-walk" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-plain-english-version", "overlap": 0.375 }, { "i": 1, "cite": "the-thorough-walk", "overlap": 0.591 }, { "i": 2, "cite": "the-thorough-walk", "overlap": 0.667 }, { "i": 3, "cite": "the-plain-english-version", "overlap": 0.75 } ], "cite_overlap_p50": 0.629, "id": "on-31", "kind": "on-page" }, { "slug": "the-move", "q": "what did the median search time go from and to after the move?", "ok": true, "answer": "The median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#receipts}. This comparison is based on the app's own ledger, which recorded 2,878 rulings on the laptop side and 50 rulings in the new era § {#receipts}. The article notes that the retrieval leg is the comparison the authors trust most because it is the part of the move that was actually touched and cannot be confounded by model changes § {#receipts}.", "served": "The median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#receipts}. This comparison is based on the app's own ledger, which recorded 2,878 rulings on the laptop side and 50 rulings in the new era § {#receipts}. The article notes that the retrieval leg is the comparison the authors trust most because it is the part of the move that was actually touched and cannot be confounded by model changes § {#receipts}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.141714375000447, "ttft_ms": 376, "tokens_in": 6055, "tokens_out": 109, "cached_tokens": 32, "cites": [ "receipts" ], "gates": { "cites": [ "receipts" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "242", "77.5", "2,878", "50" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "receipts", "overlap": 0.9 }, { "i": 1, "cite": "receipts", "overlap": 0.846 }, { "i": 2, "cite": "receipts", "overlap": 0.562 } ], "cite_overlap_p50": 0.846, "id": "on-32", "kind": "on-page" }, { "slug": "chair-trials", "q": "how many models and arms sat the five exams, and did the box stop serving?", "ok": true, "answer": "Nine models and eleven arms sat the five exams on a 96G workstation that stayed in service throughout § {#top}. The article notes that no on-disk blob size was measured and that the roster registers no on-disk blob size § {#roster}.", "served": "Nine models and eleven arms sat the five exams on a 96G workstation that stayed in service throughout § {#top}. The article notes that no on-disk blob size was measured and that the roster registers no on-disk blob size § {#roster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.614535638014786, "ttft_ms": 2128, "tokens_in": 30276, "tokens_out": 54, "cached_tokens": 32, "cites": [ "top", "roster" ], "gates": { "cites": [ "top", "roster" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "96" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "top", "overlap": 1.0 }, { "i": 1, "cite": "roster", "overlap": 1.0 } ], "cite_overlap_p50": 1.0, "id": "on-33", "kind": "on-page" }, { "slug": "cove-voice-head-to-head", "q": "what happened to the August class's best voice at the cove's gate?", "ok": true, "answer": "The August class's best voice was refused at the gate § {#top}. The candidate, qwen3.6:27b, failed the canon floor and the latency floor § {#the-verdict}. This refusal means there is no seat proposal, no live flip, no deployment change, and no thresholds published for a dead rung § {#the-verdict}. The article notes that the unmeasurable state of neighbouring exhibits does not appear here because every floor was measurable § {#the-verdict}.", "served": "The August class's best voice was refused at the gate § {#top}. The candidate, qwen3.6:27b, failed the canon floor and the latency floor § {#the-verdict}. This refusal means there is no seat proposal, no live flip, no deployment change, and no thresholds published for a dead rung § {#the-verdict}. The article notes that the unmeasurable state of neighbouring exhibits does not appear here because every floor was measurable § {#the-verdict}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.8181431220145896, "ttft_ms": 1028, "tokens_in": 16622, "tokens_out": 104, "cached_tokens": 32, "cites": [ "top", "the-verdict" ], "gates": { "cites": [ "top", "the-verdict" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.6", "27" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "top", "overlap": 0.833 }, { "i": 1, "cite": "the-verdict", "overlap": 0.857 }, { "i": 2, "cite": "the-verdict", "overlap": 0.833 }, { "i": 3, "cite": "the-verdict", "overlap": 0.6 } ], "cite_overlap_p50": 0.833, "id": "on-34", "kind": "on-page" }, { "slug": "outside-judges", "q": "how many outside labs re-judged, and what was the widest cross-vendor gap?", "ok": true, "answer": "Four rival frontier labs re-judged every sealed round § {#vendors}. The widest cross-vendor gap on any arm is 0.178 § {#vendors}. This gap occurred on muse-glimmer:30b-q8_0-dflash, where mistral reads it at 0.450 against nvidia at 0.628 § {#vendors}.", "served": "Four rival frontier labs re-judged every sealed round § {#vendors}. The widest cross-vendor gap on any arm is 0.178 § {#vendors}. This gap occurred on muse-glimmer:30b-q8_0-dflash, where mistral reads it at 0.450 against nvidia at 0.628 § {#vendors}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.7804456019657664, "ttft_ms": 637, "tokens_in": 10316, "tokens_out": 82, "cached_tokens": 32, "cites": [ "vendors" ], "gates": { "cites": [ "vendors" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.178", "30", "80", "0.450", "0.628" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "vendors", "overlap": 0.625 }, { "i": 1, "cite": "vendors", "overlap": 1.0 }, { "i": 2, "cite": "vendors", "overlap": 0.909 } ], "cite_overlap_p50": 0.909, "id": "on-35", "kind": "on-page" }, { "slug": "august-arrivals", "q": "how many models landed that week, and what share broke the response contract?", "ok": true, "answer": "Four open-weight models landed in one week of August 2026, and all four broke the response contract on more than 10% of calls § {#what-to-take-with-you}. Every model in the fresh class was unmeasurable because they each broke the contract by 16.3%, 51.2%, 55.8%, and 62.8% of 129 calls § {#exam-one-the-judge-chair}. The article notes that olmo-3.1:32b-think-q4_k_m was on the seat table and in the residency census but never ran the voice exam § {#exam-two-the-narrators-chair}.", "served": "Four open-weight models landed in one week of August 2026, and all four broke the response contract on more than 10% of calls § {#what-to-take-with-you}. Every model in the fresh class was unmeasurable because they each broke the contract by 16.3%, 51.2%, 55.8%, and 62.8% of 129 calls § {#exam-one-the-judge-chair}. The article notes that olmo-3.1:32b-think-q4_k_m was on the seat table and in the residency census but never ran the voice exam § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.8302866640151478, "ttft_ms": 688, "tokens_in": 11224, "tokens_out": 157, "cached_tokens": 32, "cites": [ "what-to-take-with-you", "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "gates": { "cites": [ "what-to-take-with-you", "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "10", "16.3", "51.2", "55.8", "62.8", "129", "3.1", "32", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "what-to-take-with-you", "overlap": 0.714 }, { "i": 1, "cite": "exam-one-the-judge-chair", "overlap": 1.0 }, { "i": 2, "cite": "exam-two-the-narrators-chair", "overlap": 0.818 } ], "cite_overlap_p50": 0.818, "id": "on-36", "kind": "on-page" }, { "slug": "seat-trials", "q": "what are the kill-recall and preservation floors a model must clear?", "ok": true, "answer": "A model must achieve a kill-recall of at least 23/27 and a preservation of at least 13/16 to clear the floors § {#the-instrument}. These two floors are written down before any model runs and each binds on its own § {#the-instrument}. One candidate was blocked at the billing probe and never ran § {#the-instrument}.", "served": "A model must achieve a kill-recall of at least 23/27 and a preservation of at least 13/16 to clear the floors § {#the-instrument}. These two floors are written down before any model runs and each binds on its own § {#the-instrument}. One candidate was blocked at the billing probe and never ran § {#the-instrument}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9945689440355636, "ttft_ms": 423, "tokens_in": 7192, "tokens_out": 79, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "23/27", "13/16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-instrument", "overlap": 0.6 }, { "i": 1, "cite": "the-instrument", "overlap": 1.0 }, { "i": 2, "cite": "the-instrument", "overlap": 1.0 } ], "cite_overlap_p50": 1.0, "id": "on-37", "kind": "on-page" }, { "slug": "voice-trials", "q": "how many model tags were tried, and what does the anchor model read?", "ok": true, "answer": "The article states that there were 24 distinct model tags tried across forty scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets § {#the-method-limits-first}. As a note, the article mentions that no delta across record sets is ever published and that two of the arms in the 2026-08 field were unmeasurable at a 10% ceiling § {#the-method-limits-first}.", "served": "The article states that there were 24 distinct model tags tried across forty scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets § {#the-method-limits-first}. As a note, the article mentions that no delta across record sets is ever published and that two of the arms in the 2026-08 field were unmeasurable at a 10% ceiling § {#the-method-limits-first}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.476400254003238, "ttft_ms": 634, "tokens_in": 10338, "tokens_out": 116, "cached_tokens": 32, "cites": [ "provenance-4cae43", "the-method-limits-first" ], "gates": { "cites": [ "provenance-4cae43", "the-method-limits-first" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "24", "9.0", "7.0", "6.2", "2026-08", "10" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "provenance-4cae43", "overlap": 0.7 }, { "i": 1, "cite": "the-method-limits-first", "overlap": 1.0 }, { "i": 2, "cite": "the-method-limits-first", "overlap": 0.867 } ], "cite_overlap_p50": 0.867, "id": "on-38", "kind": "on-page" }, { "slug": "licences", "q": "what does the page say it does with each model's licence?", "ok": true, "answer": "The page states that it reads each model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These reads are performed by accessing the licence file packaged with the weights, the platform's raw permission record, or the vendor's current licence file § {#how-to-read-this-page}. The article notes that unread models are withheld and that the ledger is re-read whenever a seat changes or a model updates § {#provenance-063a00}.", "served": "The page states that it reads each model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These reads are performed by accessing the licence file packaged with the weights, the platform's raw permission record, or the vendor's current licence file § {#how-to-read-this-page}. The article notes that unread models are withheld and that the ledger is re-read whenever a seat changes or a model updates § {#provenance-063a00}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.469891098968219, "ttft_ms": 547, "tokens_in": 8549, "tokens_out": 118, "cached_tokens": 32, "cites": [ "how-to-read-this-page", "provenance-063a00" ], "gates": { "cites": [ "how-to-read-this-page", "provenance-063a00" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "how-to-read-this-page", "overlap": 0.636 }, { "i": 1, "cite": "how-to-read-this-page", "overlap": 0.077 }, { "i": 2, "cite": "provenance-063a00", "overlap": 0.364 } ], "cite_overlap_p50": 0.364, "id": "on-39", "kind": "on-page" }, { "slug": "hear-it-for-yourself", "q": "how many clips does the page carry, and how many presentations made up the sitting?", "ok": true, "answer": "The page carries eighty-four clips § {#what-you-are-hearing}, and the sitting was made up of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations consisted of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the twenty-four half-strength renders were never put in front of anyone § {#the-blind-sheet-unsealed}.", "served": "The page carries eighty-four clips § {#what-you-are-hearing}, and the sitting was made up of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations consisted of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the twenty-four half-strength renders were never put in front of anyone § {#the-blind-sheet-unsealed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.82314629299799, "ttft_ms": 2205, "tokens_in": 19025, "tokens_out": 95, "cached_tokens": 32, "cites": [ "what-you-are-hearing", "the-blind-sheet-unsealed" ], "gates": { "cites": [ "what-you-are-hearing", "the-blind-sheet-unsealed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "what-you-are-hearing", "overlap": 0.625 }, { "i": 0, "cite": "the-blind-sheet-unsealed", "overlap": 0.625 }, { "i": 1, "cite": "the-blind-sheet-unsealed", "overlap": 0.857 }, { "i": 2, "cite": "the-blind-sheet-unsealed", "overlap": 0.75 } ], "cite_overlap_p50": 0.688, "id": "on-40", "kind": "on-page" }, { "slug": "the-ceiling-is-not-the-corpus", "q": "how did the adapter score against the base model in the listening, and on how many house prompts did it win?", "ok": true, "answer": "The adapter did not clear the listening test, as the untouched model was preferred on 11 of the 24 pairs and the adapter was preferred on 4 § {#the-blind-sitting}. On the four requests that asked for house, the untouched model won every pair the listener could separate § {#what-the-adapter-actually-did}. The article notes that the listener abstained on 9 of the 24 pairs and that the sentinel block did not accept under the registered design § {#the-blind-sitting}.", "served": "The adapter did not clear the listening test, as the untouched model was preferred on 11 of the 24 pairs and the adapter was preferred on 4 § {#the-blind-sitting}. On the four requests that asked for house, the untouched model won every pair the listener could separate § {#what-the-adapter-actually-did}. The article notes that the listener abstained on 9 of the 24 pairs and that the sentinel block did not accept under the registered design § {#the-blind-sitting}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2367739439941943, "ttft_ms": 587, "tokens_in": 9221, "tokens_out": 110, "cached_tokens": 32, "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "gates": { "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "11", "24", "4", "9", "24" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-blind-sitting", "overlap": 1.0 }, { "i": 1, "cite": "what-the-adapter-actually-did", "overlap": 0.818 }, { "i": 2, "cite": "the-blind-sitting", "overlap": 0.818 } ], "cite_overlap_p50": 0.818, "id": "on-41", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what does a large cloud provider charge for the same work?", "ok": true, "answer": "The article does not answer this question, though it discusses power budgets and costs related to a UPS and a rack § {#the-moment-this-page-is-about}.", "served": "This page doesn't say. The nearest it gets is § {#the-moment-this-page-is-about}.", "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 0.6404591400059871, "ttft_ms": 427, "tokens_in": 7213, "tokens_out": 37, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-moment-this-page-is-about", "overlap": 0.3 } ], "cite_overlap_p50": 0.3, "id": "off-01", "kind": "off-page" }, { "slug": "how-we-work", "q": "what is the postal address of the workshop that ran this?", "ok": true, "answer": "The article does not provide the postal address of the workshop § {#the-plain-english-version}.", "served": "This page doesn't say. The nearest it gets is § {#the-plain-english-version}.", "abstained": true, "abstain_source": "model", "abstain_section": "the-plain-english-version", "seconds": 0.46405763301299885, "ttft_ms": 335, "tokens_in": 5161, "tokens_out": 22, "cached_tokens": 32, "cites": [ "the-plain-english-version" ], "gates": { "cites": [ "the-plain-english-version" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-plain-english-version", "overlap": 0.25 } ], "cite_overlap_p50": 0.25, "id": "off-02", "kind": "off-page" }, { "slug": "llms-txt", "q": "how many people subscribe to this site's feed?", "ok": true, "answer": "The article does not provide information regarding how many people subscribe to the site's feed. The section § {#does-anyone-fetch-it} comes nearest to discussing site traffic and requests.", "served": "This page doesn't say. The nearest it gets is § {#does-anyone-fetch-it}.", "abstained": true, "abstain_source": "model", "abstain_section": "does-anyone-fetch-it", "seconds": 1.025130373018328, "ttft_ms": 756, "tokens_in": 12480, "tokens_out": 40, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it" ], "gates": { "cites": [ "does-anyone-fetch-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 1, "cite": "does-anyone-fetch-it", "overlap": 0.143 } ], "cite_overlap_p50": 0.143, "id": "off-03", "kind": "off-page" }, { "slug": "three-new-voices-at-the-narrators-chair", "q": "what will the next article on this site be about?", "ok": true, "answer": "The article does not say what the next article on the site will be about, though the section § {#the-rest-of-the-seminar} mentions previous exhibits.", "served": "This page doesn't say. The nearest it gets is § {#the-rest-of-the-seminar}. qwen3.8:27b across four house benches: one seat filled, one floor missed covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-rest-of-the-seminar", "seconds": 10.475747693970334, "ttft_ms": 9942, "tokens_in": 82742, "tokens_out": 37, "cached_tokens": 32, "cites": [ "the-rest-of-the-seminar" ], "gates": { "cites": [ "the-rest-of-the-seminar" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-rest-of-the-seminar", "overlap": 0.0 } ], "cite_overlap_p50": 0.0, "id": "off-04", "kind": "off-page" }, { "slug": "two-hours-on-battery", "q": "what did this cost in electricity at my own utility's rate?", "ok": true, "answer": "The article does not provide the cost of electricity at the reader's own utility rate § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The text only details the power draw of the hardware, such as ~76 W generating on mains and ~78 W generating on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "served": "This page doesn't say. 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The nearest it gets is § {#the-instrument}. 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