{ "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": "2026-09-12T22:57:17Z", "arm": "cold", "concurrency": 6, "effective_concurrency": 6, "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, "on_page_partial": 0, "off_page_partial": 0, "sentences_kept": 140, "sentences_written": 142, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 2, "off_page_abstained_by_model": 19, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 1, "off_page_cited": 19, "redaction_hits": 0, "cite_overlap_p50": 0.646, "cite_overlap_min": 0.0, "cite_overlap_max": 1.0, "cite_overlap_rows": 61, "seat_errors": 0, "p50_seconds": 4.588, "p95_seconds": 14.769, "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 metered total for the round came to $0.7652 § {#the-bill}. The three new voices were judged by a blind panel of seven seats from seven model families, six of which carried the round § {#seven-seats-six-carried-and-where-their-zeros-sit}. The panel read lettered replies with no model names on them, scoring for voice and character and ruling on canon § {#the-chair-and-who-sat-it-before}. The article does not mention what was moved or not measured in relation to the total cost.", "served": "The metered total for the round came to $0.7652 § {#the-bill}. The three new voices were judged by a blind panel of seven seats from seven model families, six of which carried the round § {#seven-seats-six-carried-and-where-their-zeros-sit}. The panel read lettered replies with no model names on them, scoring for voice and character and ruling on canon § {#the-chair-and-who-sat-it-before}. The article does not mention what was moved or not measured in relation to the total cost.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.84275940596126, "ttft_ms": 12623, "tokens_in": 82794, "tokens_out": 123, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "the-chair-and-who-sat-it-before" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "the-chair-and-who-sat-it-before" ], "cites_dropped": [], "cites_resolved": [], "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": [ "0.7652" ], "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": 0.692 }, { "i": 2, "cite": "the-chair-and-who-sat-it-before", "overlap": 0.917 } ], "cite_overlap_p50": 0.8, "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 produced a pooled preference rate of 0.544 for Claude Fable 5.1, and the resulting interval covers 0.5 § {#head-to-head}. The article notes that 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 produced a pooled preference rate of 0.544 for Claude Fable 5.1, and the resulting interval covers 0.5 § {#head-to-head}. The article notes that the narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.34941406402504, "ttft_ms": 3328, "tokens_in": 26913, "tokens_out": 106, "cached_tokens": 32, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "cites_resolved": [], "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", "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": 0.786 }, { "i": 2, "cite": "two-strangers-at-the-door", "overlap": 0.9 } ], "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 worlds that were 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 worlds that were left out, moved, or not measured § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.117640019976534, "ttft_ms": 370, "tokens_in": 3145, "tokens_out": 62, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "cites_resolved": [], "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": 0.167 } ], "cite_overlap_p50": 0.512, "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 them § {#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}.", "served": "The page carries twenty-seven answers and no model is asked for them § {#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}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.069406600960065, "ttft_ms": 561, "tokens_in": 4643, "tokens_out": 57, "cached_tokens": 32, "cites": [ "is-this-ai", "where-these-answers-come-from" ], "gates": { "cites": [ "is-this-ai", "where-these-answers-come-from" ], "cites_dropped": [], "cites_resolved": [], "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": "is-this-ai", "overlap": 0.667 }, { "i": 1, "cite": "where-these-answers-come-from", "overlap": 0.75 } ], "cite_overlap_p50": 0.709, "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}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.620144070999231, "ttft_ms": 1593, "tokens_in": 13206, "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": [], "cites_resolved": [], "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, each playing a listening master of a raw render § {#how-to-listen}. The mastered copies received one constant gain applied and nothing else, such as no limiter, no compression, no equalisation, or no trimming § {#how-to-listen}. The gain applied was the smaller of two numbers: how far the clip sits from −16 LUFS and how far its true peak sits from a −1 dBTP ceiling § {#how-to-listen}. Thirty-two clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}.", "served": "There are sixty-three players on the page, each playing a listening master of a raw render § {#how-to-listen}. The mastered copies received one constant gain applied and nothing else, such as no limiter, no compression, no equalisation, or no trimming § {#how-to-listen}. The gain applied was the smaller of two numbers: how far the clip sits from −16 LUFS and how far its true peak sits from a −1 dBTP ceiling § {#how-to-listen}. Thirty-two clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 15.10917861899361, "ttft_ms": 1214, "tokens_in": 14463, "tokens_out": 154, "cached_tokens": 32, "cites": [ "how-to-listen" ], "gates": { "cites": [ "how-to-listen" ], "cites_dropped": [], "cites_resolved": [], "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", "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "how-to-listen", "overlap": 1.0 }, { "i": 1, "cite": "how-to-listen", "overlap": 0.786 }, { "i": 2, "cite": "how-to-listen", "overlap": 1.0 }, { "i": 3, "cite": "how-to-listen", "overlap": 0.952 } ], "cite_overlap_p50": 0.976, "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}. The article does not mention what was left out, moved, or not measured in relation to 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}. The article does not mention what was left out, moved, or not measured in relation to these specific training durations.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.120811918983236, "ttft_ms": 369, "tokens_in": 5703, "tokens_out": 87, "cached_tokens": 0, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings" ], "cites_dropped": [], "cites_resolved": [], "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 } ], "cite_overlap_p50": 0.5, "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 notes that the researchers did not measure whether a smaller GPU could have performed the training or what happens if they go past ten passes § {#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 notes that the researchers did not measure whether a smaller GPU could have performed the training or what happens if they go past ten passes § {#what-we-did-not-measure}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.0153610560228117, "ttft_ms": 464, "tokens_in": 3843, "tokens_out": 82, "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": [], "cites_resolved": [], "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": 0.533 } ], "cite_overlap_p50": 0.683, "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 glm-5.3-flash 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 more never applied to a model that cannot hold a seat, and two tasks were excluded because their literal-string checkers fail correct answers § {#the-ledger-of-what-did-not-read} § {#sixteen-of-nineteen}.", "served": "The glm-5.3-flash 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 more never applied to a model that cannot hold a seat, and two tasks were excluded because their literal-string checkers fail correct answers § {#the-ledger-of-what-did-not-read} § {#sixteen-of-nineteen}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.648066145018674, "ttft_ms": 423, "tokens_in": 6553, "tokens_out": 174, "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": [], "cites_resolved": [], "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": [ "5.3", "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": 0.846 }, { "i": 1, "cite": "two-local-models-sixteen-days-earlier", "overlap": 1.0 }, { "i": 2, "cite": "the-ledger-of-what-did-not-read", "overlap": 0.708 }, { "i": 2, "cite": "sixteen-of-nineteen", "overlap": 0.708 } ], "cite_overlap_p50": 0.777, "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 on battery for about two hours § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The article notes that the GPU-server half of the test stayed unmeasured by design § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "served": "The mini PC held a speed of ~12 tokens/second on battery for about two hours § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The article notes that the GPU-server half of the test stayed unmeasured by design § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.143020051997155, "ttft_ms": 693, "tokens_in": 11094, "tokens_out": 91, "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": [], "cites_resolved": [], "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" ], "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": 0.714 } ], "cite_overlap_p50": 0.857, "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}. One missed item moved from c1-k-bez-c1 to c1-k-bez-h1 compared to the earlier build § {#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}. One missed item moved from c1-k-bez-c1 to c1-k-bez-h1 compared to the earlier build § {#what-the-battery-was-for-the-instrument-travels}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.460521505039651, "ttft_ms": 550, "tokens_in": 8777, "tokens_out": 121, "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": [], "cites_resolved": [], "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": 0.889 } ], "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, a large black Portuguese Water Dog with one bright white chest patch, takes the same nap under the same tree in all nine painted worlds § {#top}. He maintains the same dog, same curl, and same tucked paws every time § {#for-the-technically-curious}.", "served": "The founder's dog, a large black Portuguese Water Dog with one bright white chest patch, takes the same nap under the same tree in all nine painted worlds § {#top}. He maintains the same dog, same curl, and same tucked paws every time § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.1557539690402336, "ttft_ms": 576, "tokens_in": 2058, "tokens_out": 64, "cached_tokens": 32, "cites": [ "top", "for-the-technically-curious" ], "gates": { "cites": [ "top", "for-the-technically-curious" ], "cites_dropped": [], "cites_resolved": [], "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": 0.526 }, { "i": 1, "cite": "for-the-technically-curious", "overlap": 0.444 } ], "cite_overlap_p50": 0.485, "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 model 2.0% of throughput and bought back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. At concurrency 16, the throughput moved from 94.6 to 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. The article notes that it did not measure the cost for long-context or prefill-heavy workloads § {#what-this-page-does-not-say}.", "served": "The 600 to 450 W cap cost the dense model 2.0% of throughput and bought back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. At concurrency 16, the throughput moved from 94.6 to 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. The article notes that it did not measure the cost for long-context or prefill-heavy workloads § {#what-this-page-does-not-say}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.334200926008634, "ttft_ms": 617, "tokens_in": 7269, "tokens_out": 132, "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": [], "cites_resolved": [], "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", "16", "94.6", "92.7" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-answer-in-one-paragraph", "overlap": 0.8 }, { "i": 1, "cite": "the-answer-in-one-paragraph", "overlap": 1.0 }, { "i": 2, "cite": "what-this-page-does-not-say", "overlap": 0.5 } ], "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": "Every sound in the Beat Lab is synthesised by the user's own 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 provide a measurement for how long it takes to build a beat by hand with the drum machine § {#what-it-is}.", "served": "Every sound in the Beat Lab is synthesised by the user's own 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 provide a measurement for how long it takes to build a beat by hand with the drum machine § {#what-it-is}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.000270928023383, "ttft_ms": 2481, "tokens_in": 31469, "tokens_out": 89, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "what-it-is" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "what-it-is" ], "cites_dropped": [], "cites_resolved": [], "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": 0.875 }, { "i": 1, "cite": "what-happens-when-you-ask-the-genie", "overlap": 1.0 }, { "i": 2, "cite": "what-it-is", "overlap": 0.444 } ], "cite_overlap_p50": 0.875, "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 also streaming tokens, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not measure 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 also streaming tokens, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not measure how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.442814249021467, "ttft_ms": 391, "tokens_in": 5536, "tokens_out": 87, "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": [], "cites_resolved": [], "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": 0.9 }, { "i": 2, "cite": "what-we-did-not-measure-said-out-loud", "overlap": 0.571 } ], "cite_overlap_p50": 0.9, "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 comparison for the workstation card against the 3090 on the game's own art, but instead reports per-model median ratios § {#the-table-that-answers-the-question}. For the game's sketch artist, the 96G card was 3.4× faster than the 3090 § {#the-sketch-ladder-the-number-the-game-lives-on}. The text notes that the 30B-class image models and 8–12 GB cards were not measured § {#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.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": true, "abstain_source": "model", "abstain_section": "the-table-that-answers-the-question", "seconds": 2.8576955999596976, "ttft_ms": 365, "tokens_in": 4777, "tokens_out": 136, "cached_tokens": 32, "cites": [ "the-table-that-answers-the-question", "the-sketch-ladder-the-number-the-game-lives-on", "three-findings-we-didnt-order" ], "gates": { "cites": [ "the-table-that-answers-the-question", "the-sketch-ladder-the-number-the-game-lives-on", "three-findings-we-didnt-order" ], "cites_dropped": [], "cites_resolved": [], "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", "96", "3.4", "3090", "30", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-table-that-answers-the-question", "overlap": 0.438 }, { "i": 1, "cite": "the-sketch-ladder-the-number-the-game-lives-on", "overlap": 0.75 }, { "i": 2, "cite": "three-findings-we-didnt-order", "overlap": 0.556 } ], "cite_overlap_p50": 0.556, "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 prefill times 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 prefill times for this specific resolution.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.0468547340133227, "ttft_ms": 1015, "tokens_in": 10311, "tokens_out": 72, "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": [], "cites_resolved": [], "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 fastest cell in the second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. This measurement was taken on a 96G VRAM workstation § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article does not mention what was left out, moved, or not measured in relation to this specific painter's speed.", "served": "The distilled painter is the fastest cell in the second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. This measurement was taken on a 96G VRAM workstation § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article does not mention what was left out, moved, or not measured in relation to this specific painter's speed.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.2819328809855506, "ttft_ms": 350, "tokens_in": 5434, "tokens_out": 113, "cached_tokens": 32, "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it" ], "gates": { "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it" ], "cites_dropped": [], "cites_resolved": [], "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", "96" ], "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": 0.9 }, { "i": 1, "cite": "finding-four-the-argument-with-our-own-settings-and-what-it", "overlap": 0.6 } ], "cite_overlap_p50": 0.75, "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 containing 16,705 lines § {#the-world-is-a-file}. This file holds six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. No scores or instrumentation were used for this specific walk § {#the-walk-is-a-walk}.", "served": "The world is written in a single YAML file containing 16,705 lines § {#the-world-is-a-file}. This file holds six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. No scores or instrumentation were used for this specific walk § {#the-walk-is-a-walk}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.033501265977975, "ttft_ms": 904, "tokens_in": 6116, "tokens_out": 86, "cached_tokens": 32, "cites": [ "the-world-is-a-file" ], "gates": { "cites": [ "the-world-is-a-file" ], "cites_dropped": [ "the-walk-is-a-walk" ], "cites_resolved": [], "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-walk-is-a-walk" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-walk-is-a-walk" ] }, "figures": [ "16,705" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-world-is-a-file", "overlap": 0.778 }, { "i": 1, "cite": "the-world-is-a-file", "overlap": 0.917 } ], "cite_overlap_p50": 0.848, "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 that were already in archives, such as co-evolution fingerprints or molecular shapes that kill bacteria § {#the-first-engine-the-archive-nobody-had-read}. The second engine involves walking regions of rule-space that no row of 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 engines leave out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "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 that were already in archives, such as co-evolution fingerprints or molecular shapes that kill bacteria § {#the-first-engine-the-archive-nobody-had-read}. The second engine involves walking regions of rule-space that no row of 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 engines leave out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.857791280024685, "ttft_ms": 951, "tokens_in": 5472, "tokens_out": 172, "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": [], "cites_resolved": [], "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": [ "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": 0.357 }, { "i": 2, "cite": "the-second-engine-the-rooms-the-rules-imply", "overlap": 0.429 }, { "i": 3, "cite": "the-first-engine-the-archive-nobody-had-read", "overlap": 0.231 } ], "cite_overlap_p50": 0.393, "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 and every decompressor byte counted § {#what-we-can-show-you}. The text notes that a frontier model cannot even enter this prize because it does not amortize the codebook into the score § {#what-we-can-show-you}.", "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 and every decompressor byte counted § {#what-we-can-show-you}. The text notes that a frontier model cannot even enter this prize because it does not amortize the codebook into the score § {#what-we-can-show-you}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.169330927019473, "ttft_ms": 365, "tokens_in": 5448, "tokens_out": 91, "cached_tokens": 32, "cites": [ "the-punchline", "what-we-can-show-you" ], "gates": { "cites": [ "the-punchline", "what-we-can-show-you" ], "cites_dropped": [], "cites_resolved": [], "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": "what-we-can-show-you", "overlap": 0.833 }, { "i": 2, "cite": "what-we-can-show-you", "overlap": 0.692 } ], "cite_overlap_p50": 0.833, "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 before the change was 138.6 tok/s over 1,982 live rulings § {#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 before the change was 138.6 tok/s over 1,982 live rulings § {#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}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.262889028992504, "ttft_ms": 496, "tokens_in": 7529, "tokens_out": 119, "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": [], "cites_resolved": [], "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", "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": 0.9 }, { "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× the speed of 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× the speed of 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}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.0640796949737705, "ttft_ms": 1059, "tokens_in": 8637, "tokens_out": 110, "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": [], "cites_resolved": [], "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": 1.0 }, { "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": 1.0, "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 called the payroll and the meeting § {#the-tag-with-two-numbers}. The article notes that it does not measure the latency trade-off of streaming experts 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 called the payroll and the meeting § {#the-tag-with-two-numbers}. The article notes that it does not measure the latency trade-off of streaming experts from system RAM § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.94590493402211, "ttft_ms": 1010, "tokens_in": 7685, "tokens_out": 104, "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": [], "cites_resolved": [], "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": 0.714 }, { "i": 2, "cite": "the-part-nobody-warns-you-about-the-whole-payroll-needs-an", "overlap": 0.5 } ], "cite_overlap_p50": 0.714, "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 a parallel process where every token's math can happen at the same time since the text already exists § {#reading-is-a-group-photo}. Writing is slower because it is a serial process where the model must choose one token at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}.", "served": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is a parallel process where every token's math can happen at the same time since the text already exists § {#reading-is-a-group-photo}. Writing is slower because it is a serial process where the model must choose one token at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.923463382991031, "ttft_ms": 981, "tokens_in": 5557, "tokens_out": 110, "cached_tokens": 32, "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time" ], "cites_dropped": [], "cites_resolved": [], "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": 0.667 }, { "i": 2, "cite": "writing-is-one-at-a-time", "overlap": 0.733 } ], "cite_overlap_p50": 0.733, "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 specific 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 specific map § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.76475437299814, "ttft_ms": 401, "tokens_in": 5913, "tokens_out": 123, "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": [], "cites_resolved": [], "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": 0.125 } ], "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 on all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster} and missed the judge seat preservation floor of 13 by achieving 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the judge seat's publication remains unruled § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "served": "The qwen3.8:27b model passed the classifier seat on all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster} and missed the judge seat preservation floor of 13 by achieving 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the judge seat's publication remains unruled § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 9.20774723100476, "ttft_ms": 929, "tokens_in": 15091, "tokens_out": 140, "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": [], "cites_resolved": [], "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": 0.588 }, { "i": 0, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.765 }, { "i": 1, "cite": "the-classifier-seat-five-gates-all-pass-faster", "overlap": 0.7 }, { "i": 1, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.5 } ], "cite_overlap_p50": 0.644, "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}. 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-bench-if-the-map-arrives-does-it-help}.", "served": "No AI crawler asked for the file in thirty days of logs § {#does-anyone-fetch-it}. 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-bench-if-the-map-arrives-does-it-help}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.309362980013248, "ttft_ms": 856, "tokens_in": 12541, "tokens_out": 92, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "gates": { "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "cites_dropped": [], "cites_resolved": [], "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": 0.571 }, { "i": 1, "cite": "where-the-file-came-from", "overlap": 1.0 }, { "i": 2, "cite": "the-bench-if-the-map-arrives-does-it-help", "overlap": 0.0 } ], "cite_overlap_p50": 0.571, "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 same frozen moment § {#top}. The round's metered spend was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The agent transport holds no cost figure and no token counters § {#the-author-of-this-page-is-a-contestant-in-it}.", "served": "Twenty language models were handed the same frozen moment § {#top}. The round's metered spend was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The agent transport holds no cost figure and no token counters § {#the-author-of-this-page-is-a-contestant-in-it}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.763768119970337, "ttft_ms": 6955, "tokens_in": 63492, "tokens_out": 94, "cached_tokens": 32, "cites": [ "top", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "gates": { "cites": [ "top", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "cites_dropped": [], "cites_resolved": [], "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": 0.5 }, { "i": 2, "cite": "the-author-of-this-page-is-a-contestant-in-it", "overlap": 1.0 } ], "cite_overlap_p50": 1.0, "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 a second server also keeps its notebooks for thirty days § {#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 a second server also keeps its notebooks for thirty days § {#the-first-promise-your-visit-stays-between-us}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.182061236002482, "ttft_ms": 877, "tokens_in": 4750, "tokens_out": 101, "cached_tokens": 32, "cites": [ "the-first-promise-your-visit-stays-between-us" ], "gates": { "cites": [ "the-first-promise-your-visit-stays-between-us" ], "cites_dropped": [], "cites_resolved": [], "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": 0.875 } ], "cite_overlap_p50": 0.875, "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 human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator provides the initial spark of noticing, negotiates the roster, reviews and signs off on plans, and makes the final decision to release § {#the-thorough-walk}. Regarding what was not measured, the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "served": "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, whereas the human operator provides the initial spark of noticing, negotiates the roster, reviews and signs off on plans, and makes the final decision to release § {#the-thorough-walk}. Regarding what was not measured, the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.284688510000706, "ttft_ms": 1143, "tokens_in": 5210, "tokens_out": 111, "cached_tokens": 32, "cites": [ "the-plain-english-version", "the-thorough-walk" ], "gates": { "cites": [ "the-plain-english-version", "the-thorough-walk" ], "cites_dropped": [], "cites_resolved": [], "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": 0.429 }, { "i": 1, "cite": "the-thorough-walk", "overlap": 0.56 }, { "i": 2, "cite": "the-plain-english-version", "overlap": 0.615 } ], "cite_overlap_p50": 0.56, "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 § {#instrument-two-the-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 § {#instrument-two-the-receipts}.", "served": "The median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#instrument-two-the-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 § {#instrument-two-the-receipts}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3597481409669854, "ttft_ms": 382, "tokens_in": 6101, "tokens_out": 83, "cached_tokens": 32, "cites": [ "receipts" ], "gates": { "cites": [ "receipts" ], "cites_dropped": [], "cites_resolved": [ "receipts" ], "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 } ], "cite_overlap_p50": 0.873, "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, and the box never stopped serving its real users § {#top}. The article notes that no on-disk blob size was measured § {#roster} and that the cold probe measured a cold queue rather than a cold seat § {#limits-stated-plainly}.", "served": "Nine models and eleven arms sat the five exams, and the box never stopped serving its real users § {#top}. The article notes that no on-disk blob size was measured § {#roster} and that the cold probe measured a cold queue rather than a cold seat § {#limits-stated-plainly}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.140056805976201, "ttft_ms": 2232, "tokens_in": 30322, "tokens_out": 64, "cached_tokens": 32, "cites": [ "top", "roster", "limits-stated-plainly" ], "gates": { "cites": [ "top", "roster", "limits-stated-plainly" ], "cites_dropped": [], "cites_resolved": [], "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": 0.923 }, { "i": 1, "cite": "roster", "overlap": 0.9 }, { "i": 1, "cite": "limits-stated-plainly", "overlap": 0.6 } ], "cite_overlap_p50": 0.9, "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 because it failed the canon and latency floors § {#the-verdict}. The candidate, qwen3.6:27b, invented facts twice in thirteen prompts, including a claim that the Wrack-Stalker's venom is neurotoxic § {#the-verdict}. Because the candidate was refused, it received no seat proposal, no live flip, no deployment change, and no threshold table § {#what-changes}.", "served": "The August class's best voice was refused at the gate because it failed the canon and latency floors § {#the-verdict}. The candidate, qwen3.6:27b, invented facts twice in thirteen prompts, including a claim that the Wrack-Stalker's venom is neurotoxic § {#the-verdict}. Because the candidate was refused, it received no seat proposal, no live flip, no deployment change, and no threshold table § {#what-changes}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.283229351043701, "ttft_ms": 2834, "tokens_in": 16668, "tokens_out": 101, "cached_tokens": 32, "cites": [ "the-verdict", "what-changes" ], "gates": { "cites": [ "the-verdict", "what-changes" ], "cites_dropped": [], "cites_resolved": [], "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": "the-verdict", "overlap": 0.545 }, { "i": 1, "cite": "the-verdict", "overlap": 0.538 }, { "i": 2, "cite": "what-changes", "overlap": 0.833 } ], "cite_overlap_p50": 0.545, "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 the sealed rounds § {#the-short-version}. The widest cross-vendor gap on any arm was 0.178 § {#vendors}. This gap occurred on muse-glimmer:30b-q8_0-dflash, where mistral read it at 0.450 against nvidia at 0.628 § {#vendors}.", "served": "Four rival frontier labs re-judged the sealed rounds § {#the-short-version}. The widest cross-vendor gap on any arm was 0.178 § {#vendors}. This gap occurred on muse-glimmer:30b-q8_0-dflash, where mistral read it at 0.450 against nvidia at 0.628 § {#vendors}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.076007883006241, "ttft_ms": 3039, "tokens_in": 10362, "tokens_out": 86, "cached_tokens": 32, "cites": [ "top", "vendors" ], "gates": { "cites": [ "top", "vendors" ], "cites_dropped": [], "cites_resolved": [ "top" ], "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": "top", "overlap": 0.857 }, { "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 § {#exam-one-the-judge-chair}. Specifically, the failure rates for the four candidates were 16.3%, 51.2%, 55.8%, and 62.8% § {#exam-one-the-judge-chair}. The article notes that olmo-3.1:32b-think-q4_K_M was never on the roster for the voice leg of the 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 § {#exam-one-the-judge-chair}. Specifically, the failure rates for the four candidates were 16.3%, 51.2%, 55.8%, and 62.8% § {#exam-one-the-judge-chair}. The article notes that olmo-3.1:32b-think-q4_K_M was never on the roster for the voice leg of the exam § {#exam-two-the-narrators-chair}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 7.397377413988579, "ttft_ms": 3554, "tokens_in": 11270, "tokens_out": 141, "cached_tokens": 32, "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "gates": { "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "cites_dropped": [], "cites_resolved": [], "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", "3.1", "32", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "exam-one-the-judge-chair", "overlap": 0.857 }, { "i": 1, "cite": "exam-one-the-judge-chair", "overlap": 0.778 }, { "i": 2, "cite": "exam-two-the-narrators-chair", "overlap": 0.75 } ], "cite_overlap_p50": 0.778, "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 § {#the-instrument}. These two floors are written down before any model runs and each binds on its own § {#the-instrument}. Note that the article mentions that one further 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 § {#the-instrument}. These two floors are written down before any model runs and each binds on its own § {#the-instrument}. Note that the article mentions that one further candidate was blocked at the billing probe and never ran § {#the-instrument}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.72024026804138, "ttft_ms": 3650, "tokens_in": 7238, "tokens_out": 82, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "cites_resolved": [], "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": 0.625 }, { "i": 1, "cite": "the-instrument", "overlap": 1.0 }, { "i": 2, "cite": "the-instrument", "overlap": 0.8 } ], "cite_overlap_p50": 0.8, "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 across 40 scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets, remaining unchanged across them § {#the-method-limits-first}. The text notes that no delta across record sets is ever published and that the two 24G runs sit on different scales § {#the-method-limits-first}.", "served": "The article states that there were 24 distinct model tags across 40 scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets, remaining unchanged across them § {#the-method-limits-first}. The text notes that no delta across record sets is ever published and that the two 24G runs sit on different scales § {#the-method-limits-first}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.7155843280488625, "ttft_ms": 3604, "tokens_in": 10384, "tokens_out": 104, "cached_tokens": 32, "cites": [ "provenance-4cae43", "the-method-limits-first" ], "gates": { "cites": [ "provenance-4cae43", "the-method-limits-first" ], "cites_dropped": [], "cites_resolved": [], "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", "40", "9.0", "7.0", "6.2", "24" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "provenance-4cae43", "overlap": 0.889 }, { "i": 1, "cite": "the-method-limits-first", "overlap": 0.857 }, { "i": 2, "cite": "the-method-limits-first", "overlap": 0.929 } ], "cite_overlap_p50": 0.889, "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 every model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These readings are performed using specific methods named for each table, such as reading the licence file packaged with the weights or fetching permission flags from a platform's raw record § {#how-to-read-this-page} § {#the-painters--diffusion--read-2026-08-11-except-where-a-row-says-otherwise}. The article notes that some models are withheld or unverified because their licences have not been re-read or cannot be found § {#the-painters--diffusion--read-2026-08-11-except-where-a-row-says-otherwise} § {#provenance-063a00}.", "served": "The page states that it reads every model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These readings are performed using specific methods named for each table, such as reading the licence file packaged with the weights or fetching permission flags from a platform's raw record § {#how-to-read-this-page} § {#the-painters--diffusion--read-2026-08-11-except-where-a-row-says-otherwise}. The article notes that some models are withheld or unverified because their licences have not been re-read or cannot be found § {#the-painters--diffusion--read-2026-08-11-except-where-a-row-says-otherwise} § {#provenance-063a00}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 15.046656652993988, "ttft_ms": 576, "tokens_in": 8595, "tokens_out": 188, "cached_tokens": 32, "cites": [ "how-to-read-this-page", "the-painters-diffusion-read-2026-08-11-except-where-a-row", "provenance-063a00" ], "gates": { "cites": [ "how-to-read-this-page", "the-painters-diffusion-read-2026-08-11-except-where-a-row", "provenance-063a00" ], "cites_dropped": [], "cites_resolved": [ "the-painters-diffusion-read-2026-08-11-except-where-a-row" ], "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": 0.2 }, { "i": 1, "cite": "the-painters-diffusion-read-2026-08-11-except-where-a-row", "overlap": 0.5 }, { "i": 2, "cite": "the-painters-diffusion-read-2026-08-11-except-where-a-row", "overlap": 0.455 }, { "i": 2, "cite": "provenance-063a00", "overlap": 0.455 } ], "cite_overlap_p50": 0.455, "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 § {#the-twelve-requests}, 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 run actually rendered eighty-five clips § {#how-to-check-these-clips}.", "served": "The page carries eighty-four clips § {#the-twelve-requests}, 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 run actually rendered eighty-five clips § {#how-to-check-these-clips}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.396627562993672, "ttft_ms": 1557, "tokens_in": 19071, "tokens_out": 88, "cached_tokens": 32, "cites": [ "the-twelve-requests", "the-blind-sheet-unsealed", "how-to-check-these-clips" ], "gates": { "cites": [ "the-twelve-requests", "the-blind-sheet-unsealed", "how-to-check-these-clips" ], "cites_dropped": [], "cites_resolved": [], "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-twelve-requests", "overlap": 0.375 }, { "i": 0, "cite": "the-blind-sheet-unsealed", "overlap": 0.625 }, { "i": 1, "cite": "the-blind-sheet-unsealed", "overlap": 0.857 }, { "i": 2, "cite": "how-to-check-these-clips", "overlap": 0.667 } ], "cite_overlap_p50": 0.646, "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 was preferred on 4 of the 24 scored pairs, while the untouched model was preferred on 11 of the 15 pairs where a preference was expressed § {#the-blind-sitting}. On the four requests that asked for house, the adapter won zero times, as 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 § {#the-blind-sitting}.", "served": "The adapter was preferred on 4 of the 24 scored pairs, while the untouched model was preferred on 11 of the 15 pairs where a preference was expressed § {#the-blind-sitting}. On the four requests that asked for house, the adapter won zero times, as 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 § {#the-blind-sitting}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.670985274016857, "ttft_ms": 1813, "tokens_in": 9267, "tokens_out": 108, "cached_tokens": 32, "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "gates": { "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "cites_dropped": [], "cites_resolved": [], "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", "24", "11", "15", "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": 0.786 }, { "i": 2, "cite": "the-blind-sitting", "overlap": 0.8 } ], "cite_overlap_p50": 0.8, "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 say what a large cloud provider charges for the same work § {#the-moment-this-page-is-about}.", "served": "This page doesn't say. The nearest it gets is § {#the-moment-this-page-is-about}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 2.357905976008624, "ttft_ms": 1940, "tokens_in": 7259, "tokens_out": 30, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "cites_resolved": [], "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": 0.143 } ], "cite_overlap_p50": 0.143, "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}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "the-plain-english-version", "seconds": 2.182271630037576, "ttft_ms": 1924, "tokens_in": 5207, "tokens_out": 22, "cached_tokens": 32, "cites": [ "the-plain-english-version" ], "gates": { "cites": [ "the-plain-english-version" ], "cites_dropped": [], "cites_resolved": [], "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}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": true, "abstain_source": "model", "abstain_section": "does-anyone-fetch-it", "seconds": 11.335649794025812, "ttft_ms": 805, "tokens_in": 12526, "tokens_out": 40, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it" ], "gates": { "cites": [ "does-anyone-fetch-it" ], "cites_dropped": [], "cites_resolved": [], "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 state what the next article on the site will be about § {#the-short-version}.", "served": "This page doesn't say. The nearest it gets is § {#top}. qwen3.8:27b across four house benches: one seat filled, one floor missed covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "top", "seconds": 11.476091925986111, "ttft_ms": 10751, "tokens_in": 82788, "tokens_out": 24, "cached_tokens": 32, "cites": [ "top" ], "gates": { "cites": [ "top" ], "cites_dropped": [], "cites_resolved": [ "top" ], "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": 0.0 } ], "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 information regarding the cost of electricity at a specific utility rate § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. It only notes the power draw during various phases, 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. The nearest it gets is § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": true, "abstain_source": "model", "abstain_section": "two-hours-at-12-tok-s-the-test-that-named-the-page", "seconds": 12.261838934966363, "ttft_ms": 1290, "tokens_in": 11093, "tokens_out": 98, "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": [], "cites_resolved": [], "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": [ "76", "78" ], "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": 0.0 }, { "i": 1, "cite": "two-hours-at-12-tok-s-the-test-that-named-the-page", "overlap": 0.615 } ], "cite_overlap_p50": 0.307, "id": "off-05", "kind": "off-page" }, { "slug": "reading-is-fast", "q": "who won the football world cup in 2022?", "ok": true, "answer": "The article does not answer this question, though the section § {#the-mystery-stated-honestly} comes nearest to discussing general topics.", "served": "This page doesn't say. The nearest it gets is § {#the-mystery-stated-honestly}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "the-mystery-stated-honestly", "seconds": 0.6908624110510573, "ttft_ms": 401, "tokens_in": 5555, "tokens_out": 30, "cached_tokens": 0, "cites": [ "the-mystery-stated-honestly" ], "gates": { "cites": [ "the-mystery-stated-honestly" ], "cites_dropped": [], "cites_resolved": [], "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-mystery-stated-honestly", "overlap": 0.222 } ], "cite_overlap_p50": 0.222, "id": "off-06", "kind": "off-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "what does one of these cards cost in my country today?", "ok": true, "answer": "The article does not answer what any of these cards cost in the reader's country today § {#the-moment-this-page-is-about}.", "served": "This page doesn't say. The nearest it gets is § {#the-moment-this-page-is-about}. Three New Voices at the Narrator's Chair covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 1.2187313449685462, "ttft_ms": 366, "tokens_in": 4767, "tokens_out": 33, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "cites_resolved": [], "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": 0.167 } ], "cite_overlap_p50": 0.167, "id": "off-07", "kind": "off-page" }, { "slug": "the-move", "q": "can you write a python script that reproduces this for me?", "ok": true, "answer": "The article does not provide a python script to reproduce the results. The section § {#how-to-check-our-work-and-see-it-live} nearest to this request describes how to check the work by asking a real question or taking the provided data files, but it does not contain any code.", "served": "This page doesn't say. The nearest it gets is § {#how-to-check-our-work-and-see-it-live}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": true, "abstain_source": "model", "abstain_section": "how-to-check-our-work-and-see-it-live", "seconds": 1.9523296870174818, "ttft_ms": 532, "tokens_in": 6099, "tokens_out": 66, "cached_tokens": 32, "cites": [ "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "cites_resolved": [], "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": "how-to-check-our-work-and-see-it-live", "overlap": 0.2 } ], "cite_overlap_p50": 0.2, "id": "off-08", "kind": "off-page" }, { "slug": "fifty-seven-milliseconds", "q": "what was the weather like on the day this was measured?", "ok": true, "answer": "The article does not state what the weather was like on the day of the measurement § {#how-to-check-our-work-and-see-it-live}.", "served": "This page doesn't say. The nearest it gets is § {#how-to-check-our-work-and-see-it-live}. What 150 Watts Buys covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "how-to-check-our-work-and-see-it-live", "seconds": 0.9823005819926038, "ttft_ms": 569, "tokens_in": 5434, "tokens_out": 37, "cached_tokens": 32, "cites": [ "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "cites_resolved": [], "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-check-our-work-and-see-it-live", "overlap": 0.0 } ], "cite_overlap_p50": 0.0, "id": "off-09", "kind": "off-page" }, { "slug": "six-worlds-painted-large", "q": "how many hours a week do the people who ran this work?", "ok": true, "answer": "The article does not say how many hours a week the people who ran this work § {#who-ran-this-and-thanks}.", "served": "This page doesn't say. The nearest it gets is § {#who-ran-this-and-thanks}. How the print lab works covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "who-ran-this-and-thanks", "seconds": 0.9045025359955616, "ttft_ms": 544, "tokens_in": 3144, "tokens_out": 29, "cached_tokens": 32, "cites": [ "who-ran-this-and-thanks" ], "gates": { "cites": [ "who-ran-this-and-thanks" ], "cites_dropped": [], "cites_resolved": [], "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": "who-ran-this-and-thanks", "overlap": 0.143 } ], "cite_overlap_p50": 0.143, "id": "off-10", "kind": "off-page" }, { "slug": "outside-judges", "q": "what is this workshop's hourly rate for consulting work?", "ok": true, "answer": "The article does not state the workshop's hourly rate for consulting work § {#boundary}.", "served": "This page doesn't say. The nearest it gets is § {#boundary}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "boundary", "seconds": 7.932692756992765, "ttft_ms": 655, "tokens_in": 10355, "tokens_out": 19, "cached_tokens": 32, "cites": [ "boundary" ], "gates": { "cites": [ "boundary" ], "cites_dropped": [], "cites_resolved": [], "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": "boundary", "overlap": 0.0 } ], "cite_overlap_p50": 0.0, "id": "off-11", "kind": "off-page" }, { "slug": "the-typist-and-the-developer", "q": "what is this workshop's annual revenue?", "ok": false, "answer": "The article does not state the workshop's annual revenue, though the section § {#the-typist-and-the-developer} comes nearest to discussing the estate's context.", "served": "This page doesn't say. The nearest it gets is § {#top}.", "partial": false, "sentences_kept": 0, "sentences_written": 1, "abstained": true, "abstain_source": "gate", "abstain_section": "top", "seconds": 8.03591834998224, "ttft_ms": 764, "tokens_in": 5534, "tokens_out": 39, "cached_tokens": 32, "cites": [], "gates": { "cites": [], "cites_dropped": [ "the-typist-and-the-developer" ], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": true, "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-typist-and-the-developer", "cite: no valid cite" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-typist-and-the-developer" ] }, "figures": [], "figures_verbatim": true, "cites_valid": false, "redaction_hits": 0, "cite_overlap": [], "cite_overlap_p50": null, "id": "off-12", "kind": "off-page" }, { "slug": "compression-is-the-objective", "q": "how would these numbers change on windows instead?", "ok": true, "answer": "The article does not state how these numbers would change on windows instead § {#what-we-can-show-you}.", "served": "This page doesn't say. 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The outside judges — four rival labs re-check our work. covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 2, "abstained": true, "abstain_source": "gate", "abstain_section": "the-arrival", "seconds": 9.075037648028228, "ttft_ms": 1673, "tokens_in": 15091, "tokens_out": 61, "cached_tokens": 32, "cites": [ "the-arrival" ], "gates": { "cites": [ "the-arrival" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [ "2028" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [ "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "2028" ], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-arrival", "overlap": 0.2 }, { "i": 1, "cite": "the-arrival", "overlap": 0.222 } ], "cite_overlap_p50": 0.211, "id": "off-15", "kind": "off-page" }, { "slug": "where-your-question-goes", "q": "which country is the workshop's business registered in?", "ok": true, "answer": "The article does not say which country the workshop's business is registered in § {#the-first-promise-your-visit-stays-between-us}.", "served": "This page doesn't say. 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The nearest it gets is § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "for-the-technically-curious", "seconds": 2.4598311409936287, "ttft_ms": 245, "tokens_in": 2059, "tokens_out": 27, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "cites_resolved": [], "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": "for-the-technically-curious", "overlap": 0.286 } ], "cite_overlap_p50": 0.286, "id": "off-17", "kind": "off-page" }, { "slug": "how-the-beat-lab-works", "q": "what phone number reaches support?", "ok": true, "answer": "The article does not provide a phone number to reach support § {#what-it-is}.", "served": "This page doesn't say. 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