{ "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": "2026-09-12T21:03:32Z", "arm": "cold", "concurrency": 1, "effective_concurrency": 1, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent" }, "packnorm_definition_recorded_not_governing": "v3", "bank": { "path": "bank.json", "counts": { "on_page": 41, "off_page": 21, "total": 62 } }, "results": { "on_page_total": 41, "on_page_answered": 41, "on_page_partial": 0, "off_page_partial": 1, "sentences_kept": 138, "sentences_written": 140, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 20, "off_page_abstained_by_gate": 1, "off_page_abstained_by_model": 19, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 0, "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": 1.022, "p95_seconds": 7.321, "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 outside model families, six of which carried the round, reading lettered replies with no model names on them § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the counts for the metered rows are upper bounds and that the subscription row's two estimates are never added into the total § {#the-bill}.", "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 outside model families, six of which carried the round, reading lettered replies with no model names on them § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the counts for the metered rows are upper bounds and that the subscription row's two estimates are never added into the total § {#the-bill}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 10.968814124003984, "ttft_ms": 9799, "tokens_in": 82794, "tokens_out": 113, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit" ], "cites_dropped": [], "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": 0.684 }, { "i": 2, "cite": "the-bill", "overlap": 0.786 } ], "cite_overlap_p50": 0.786, "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}. The pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over those cases put that rate at [0.444, 0.638] § {#head-to-head}. The narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "served": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. The pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over those cases put that rate at [0.444, 0.638] § {#head-to-head}. 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": 2.6265979260206223, "ttft_ms": 1801, "tokens_in": 26913, "tokens_out": 112, "cached_tokens": 0, "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", "0.444", "0.638" ], "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": 1.0 }, { "i": 2, "cite": "two-strangers-at-the-door", "overlap": 1.0 } ], "cite_overlap_p50": 1.0, "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 other size or step count for these specific paintings § {#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 other size or step count for these specific paintings § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5855426350026391, "ttft_ms": 260, "tokens_in": 3145, "tokens_out": 60, "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": 0.286 } ], "cite_overlap_p50": 0.572, "id": "on-03", "kind": "on-page" }, { "slug": "the-beat-lab-asked-and-answered", "q": "how many answers does the page carry, and does any model run to make it?", "ok": true, "answer": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#where-these-answers-come-from}. The answers were drafted by AI agents in the byline but were read and approved word by word by humans § {#who-ran-this-and-thanks}.", "served": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#where-these-answers-come-from}. The answers were drafted by AI agents in the byline but were read and approved word by word by humans § {#who-ran-this-and-thanks}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.650048331997823, "ttft_ms": 304, "tokens_in": 4643, "tokens_out": 64, "cached_tokens": 32, "cites": [ "where-these-answers-come-from", "who-ran-this-and-thanks" ], "gates": { "cites": [ "where-these-answers-come-from", "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": "where-these-answers-come-from", "overlap": 1.0 }, { "i": 1, "cite": "who-ran-this-and-thanks", "overlap": 1.0 } ], "cite_overlap_p50": 1.0, "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 § {#forty-one-releases-licence-by-licence}. The one listener preferred the untouched model, both times § {#the-ear}. The article notes that it did 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 § {#forty-one-releases-licence-by-licence}. The one listener preferred the untouched model, both times § {#the-ear}. The article notes that it did 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": 1.2975353070069104, "ttft_ms": 764, "tokens_in": 13206, "tokens_out": 84, "cached_tokens": 32, "cites": [ "forty-one-releases-licence-by-licence", "the-ear", "what-we-did-not-measure" ], "gates": { "cites": [ "forty-one-releases-licence-by-licence", "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": "forty-one-releases-licence-by-licence", "overlap": 1.0 }, { "i": 1, "cite": "the-ear", "overlap": 0.714 }, { "i": 2, "cite": "what-we-did-not-measure", "overlap": 0.8 } ], "cite_overlap_p50": 0.8, "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 § {#how-to-listen}. These masters were created by applying one constant gain 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}. The article notes that the raw renders were never re-encoded, never trimmed, and never levelled after the fact § {#how-to-listen}.", "served": "There are sixty-three players on the page, each playing a listening master § {#how-to-listen}. These masters were created by applying one constant gain 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}. The article notes that the raw renders were never re-encoded, never trimmed, and never levelled after the fact § {#how-to-listen}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6594133079634048, "ttft_ms": 846, "tokens_in": 14463, "tokens_out": 133, "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" ], "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": 0.692 }, { "i": 2, "cite": "how-to-listen", "overlap": 1.0 }, { "i": 3, "cite": "how-to-listen", "overlap": 0.778 } ], "cite_overlap_p50": 0.889, "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 specify what was left out or moved regarding these specific training durations.", "served": "The Sousa adapter took 14 minutes 36 seconds to train § {#sousa-a-hundred-and-six-marches}, while the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. The article does not specify what was left out or moved regarding these specific training durations.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8063480129931122, "ttft_ms": 358, "tokens_in": 5703, "tokens_out": 81, "cached_tokens": 32, "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, which 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 run the training or what happens past ten passes § {#what-we-did-not-measure}.", "served": "Nineteen recordings were used for training, which 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 run the training or what happens 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": 0.6932722550118342, "ttft_ms": 279, "tokens_in": 3843, "tokens_out": 77, "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": 0.818 }, { "i": 1, "cite": "what-we-did-not-measure", "overlap": 0.667 } ], "cite_overlap_p50": 0.742, "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}. Several other instruments, including the judge exam, assistant exam, decode speed, and filing cabinet, could not honestly be read on the cloud path § {#the-ledger-of-what-did-not-read}.", "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}. Several other instruments, including the judge exam, assistant exam, decode speed, and filing cabinet, could not honestly be read on the cloud path § {#the-ledger-of-what-did-not-read}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2276125799980946, "ttft_ms": 390, "tokens_in": 6553, "tokens_out": 153, "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": 0.733 } ], "cite_overlap_p50": 0.846, "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 remains 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 remains 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": 1.226110418967437, "ttft_ms": 673, "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}. The article notes that the missed item in the kill-recall count moved from c1-k-bez-c1 to c1-k-bez-h1 compared to the earlier run § {#what-the-battery-was-for-the-instrument-travels}.", "served": "The ranked model, qwen3.6:27b, cleared both judge floors and was ranked again § {#the-chair-and-who-gets-to-sit-in-it}. It achieved a kill-recall of 11 of 12 and a preservation of 8 of 9 § {#the-standings}. The article notes that the missed item in the kill-recall count moved from c1-k-bez-c1 to c1-k-bez-h1 compared to the earlier run § {#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": 1.2602738389978185, "ttft_ms": 509, "tokens_in": 8777, "tokens_out": 131, "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": 0.727 } ], "cite_overlap_p50": 0.727, "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, who is a large black Portuguese Water Dog with one bright white chest patch, remains the same across all nine paintings § {#top}. He maintains the same curl and the same tucked paws while taking the same nap under the same tree in every world § {#top}. The article does not mention what was left out, moved, or not measured.", "served": "The founder's dog, who is a large black Portuguese Water Dog with one bright white chest patch, remains the same across all nine paintings § {#top}. He maintains the same curl and the same tucked paws while taking the same nap under the same tree in every world § {#top}. The article does not mention what was left out, moved, or not measured.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5533298029913567, "ttft_ms": 176, "tokens_in": 2058, "tokens_out": 75, "cached_tokens": 32, "cites": [ "top" ], "gates": { "cites": [ "top" ], "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": 0.25 }, { "i": 1, "cite": "top", "overlap": 0.462 } ], "cite_overlap_p50": 0.356, "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}. This specific result was measured at concurrency 16 where 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}. This specific result was measured at concurrency 16 where 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": 1.180048709968105, "ttft_ms": 423, "tokens_in": 7269, "tokens_out": 136, "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": 0.75 }, { "i": 2, "cite": "what-this-page-does-not-say", "overlap": 0.5 } ], "cite_overlap_p50": 0.75, "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 state what was left out, moved, or not measured in relation to these specific details.", "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 state what was left out, moved, or not measured in relation to these specific details.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.8949664519750513, "ttft_ms": 2240, "tokens_in": 31469, "tokens_out": 81, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "cites_dropped": [], "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 } ], "cite_overlap_p50": 0.938, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was streaming tokens at the same time, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article does not mention how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was streaming tokens at the same time, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article does not mention 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": 0.8310563290142454, "ttft_ms": 347, "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": 0.909 }, { "i": 2, "cite": "what-we-did-not-measure-said-out-loud", "overlap": 0.5 } ], "cite_overlap_p50": 0.909, "id": "on-15", "kind": "on-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "how much faster was the workstation card than the 3090 on the game's own art?", "ok": true, "answer": "The 96 GB card was 3.4× faster than the RTX 3090 when running the FLUX.2 klein-4B model used for the game's sketches § {#the-table-that-answers-the-question}. Across all models, the 96 GB card's median render times ranged from 0.48 s to 7.84 s, while the 3090's times ranged from 1.65 s to 33.01 s § {#the-table-that-answers-the-question}. The article notes that the 8–12 GB card category was not tested § {#three-findings-we-didnt-order}.", "served": "The 96 GB card was 3.4× faster than the RTX 3090 when running the FLUX.2 klein-4B model used for the game's sketches § {#the-table-that-answers-the-question}. Across all models, the 96 GB card's median render times ranged from 0.48 s to 7.84 s, while the 3090's times ranged from 1.65 s to 33.01 s § {#the-table-that-answers-the-question}. The article notes that the 8–12 GB card category was not tested § {#three-findings-we-didnt-order}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1272880579927005, "ttft_ms": 313, "tokens_in": 4777, "tokens_out": 155, "cached_tokens": 32, "cites": [ "the-table-that-answers-the-question", "three-findings-we-didnt-order" ], "gates": { "cites": [ "the-table-that-answers-the-question", "three-findings-we-didnt-order" ], "cites_dropped": [], "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": [ "96", "3.4", "3090", "2", "4", "96", "0.48", "7.84", "3090", "1.65", "33.01", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-table-that-answers-the-question", "overlap": 0.5 }, { "i": 1, "cite": "the-table-that-answers-the-question", "overlap": 0.467 }, { "i": 2, "cite": "three-findings-we-didnt-order", "overlap": 0.667 } ], "cite_overlap_p50": 0.5, "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}. This measurement was recorded on the seat the cove ships, which is minicpm-v4.5 § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. The article does not mention what was left out or moved regarding this specific measurement.", "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}. This measurement was recorded on the seat the cove ships, which is minicpm-v4.5 § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. The article does not mention what was left out or moved regarding this specific measurement.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3574482760159299, "ttft_ms": 635, "tokens_in": 10311, "tokens_out": 121, "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", "4.5" ], "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 }, { "i": 1, "cite": "finding-one-a-picture-is-199-tokens-at-896-px-and-the", "overlap": 0.667 } ], "cite_overlap_p50": 0.734, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "The distilled painter is the sharpest and fastest cell in the second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the distilled painter's template zeroes the negative conditioning that the no-signature guard rides on, which results in it painting a legible cursive signature on two of the six subjects § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "served": "The distilled painter is the sharpest and 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}. The article notes that the distilled painter's template zeroes the negative conditioning that the no-signature guard rides on, which results in it painting a legible cursive signature on two of the six subjects § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9709295349894091, "ttft_ms": 345, "tokens_in": 5434, "tokens_out": 116, "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" ], "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": 0.909 }, { "i": 1, "cite": "finding-four-the-argument-with-our-own-settings-and-what-it", "overlap": 0.778 } ], "cite_overlap_p50": 0.844, "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 consisting of 16,705 lines § {#the-world-is-a-file}. This file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. No scores or instrumentation were used for this walk § {#the-walk-is-a-walk}.", "served": "The world is written in a single YAML file consisting of 16,705 lines § {#the-world-is-a-file}. This file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. No scores or instrumentation were used for this walk § {#the-walk-is-a-walk}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8447308879694901, "ttft_ms": 371, "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 named 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 structure-activity patterns in molecular libraries § {#the-first-engine-the-archive-nobody-had-read}. The second engine involves walking regions of rule-space that no one had visited, such as predicting a planet's position or an anti-electron § {#the-second-engine-the-rooms-the-rules-imply}. Structural biologists noted that these engines left 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 named 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 structure-activity patterns in molecular libraries § {#the-first-engine-the-archive-nobody-had-read}. The second engine involves walking regions of rule-space that no one had visited, such as predicting a planet's position or an anti-electron § {#the-second-engine-the-rooms-the-rules-imply}. Structural biologists noted that these engines left 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": 1.250600552011747, "ttft_ms": 350, "tokens_in": 5472, "tokens_out": 169, "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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "two-kinds-of-there-all-along", "overlap": 0.889 }, { "i": 1, "cite": "the-first-engine-the-archive-nobody-had-read", "overlap": 0.385 }, { "i": 2, "cite": "the-second-engine-the-rooms-the-rules-imply", "overlap": 0.462 }, { "i": 3, "cite": "the-first-engine-the-archive-nobody-had-read", "overlap": 0.231 } ], "cite_overlap_p50": 0.423, "id": "on-20", "kind": "on-page" }, { "slug": "compression-is-the-objective", "q": "what does the page say a language model is, and what prize does it point to?", "ok": true, "answer": "A language model is a compression of its corpus § {#the-punchline}. The article points to the Hutter Prize, which charges for everything including self-extracting entries, every decompressor byte counted, fixed time and memory, and no outside data § {#the-punchline}. The text notes that a frontier model cannot even enter this contest § {#the-punchline}.", "served": "A language model is a compression of its corpus § {#the-punchline}. The article points to the Hutter Prize, which charges for everything including self-extracting entries, every decompressor byte counted, fixed time and memory, and no outside data § {#the-punchline}. The text notes that a frontier model cannot even enter this contest § {#the-punchline}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7744724049698561, "ttft_ms": 348, "tokens_in": 5448, "tokens_out": 79, "cached_tokens": 32, "cites": [ "the-punchline" ], "gates": { "cites": [ "the-punchline" ], "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": "the-punchline", "overlap": 0.294 }, { "i": 2, "cite": "the-punchline", "overlap": 0.5 } ], "cite_overlap_p50": 0.5, "id": "on-21", "kind": "on-page" }, { "slug": "the-free-speed-wasnt-free", "q": "what was the production median before the change, and what caused the speed-up?", "ok": true, "answer": "The production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama commit that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage that had been running on every token § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "The production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama commit that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage that had been running on every token § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1545871879789047, "ttft_ms": 442, "tokens_in": 7529, "tokens_out": 128, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "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", "2026-08-15", "1.1", "1.0" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-day-the-box-got-faster", "overlap": 1.0 }, { "i": 1, "cite": "the-two-line-commit", "overlap": 0.625 }, { "i": 2, "cite": "the-part-that-isnt-about-speed", "overlap": 0.667 } ], "cite_overlap_p50": 0.667, "id": "on-22", "kind": "on-page" }, { "slug": "the-compressed-photograph", "q": "how much slower was the uncompressed original than the compressed build?", "ok": true, "answer": "The uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. The uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. The article does not measure perplexity § {#what-this-page-does-not-say}.", "served": "The uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. The uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. The article does not measure perplexity § {#what-this-page-does-not-say}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1319694360136054, "ttft_ms": 506, "tokens_in": 8637, "tokens_out": 109, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "cites_dropped": [], "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": 0.833 }, { "i": 1, "cite": "the-same-question-down-the-whole-ladder", "overlap": 0.889 }, { "i": 2, "cite": "what-this-page-does-not-say", "overlap": 1.0 } ], "cite_overlap_p50": 0.889, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are 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": 1.0378183539723977, "ttft_ms": 453, "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 parallel, as the model can process all tokens in a prompt at the same time since they already exist § {#reading-is-a-group-photo}. Writing is slower because it is serial, meaning the model must choose tokens one at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}.", "served": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is parallel, as the model can process all tokens in a prompt at the same time since they already exist § {#reading-is-a-group-photo}. Writing is slower because it is serial, meaning the model must choose tokens one at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9365119930007495, "ttft_ms": 351, "tokens_in": 5557, "tokens_out": 109, "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": 0.786 }, { "i": 2, "cite": "writing-is-one-at-a-time", "overlap": 0.733 } ], "cite_overlap_p50": 0.786, "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, moved, or not measured regarding the embedder or the third librarian.", "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, moved, or not measured regarding the embedder or the third librarian.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9364968169829808, "ttft_ms": 366, "tokens_in": 5913, "tokens_out": 105, "cached_tokens": 32, "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle" ], "gates": { "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle" ], "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 } ], "cite_overlap_p50": 0.725, "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 model passed the classifier seat, clearing all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by achieving preservation of 11 of 16 against a floor of 13 § {#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 rows were measured on a different runtime than the other rows § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "served": "The model passed the classifier seat, clearing all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by achieving preservation of 11 of 16 against a floor of 13 § {#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 rows were measured on a different runtime than the other rows § {#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": 1.790004801005125, "ttft_ms": 902, "tokens_in": 15091, "tokens_out": 142, "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": [ "11", "16", "13" ], "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": 0.818 }, { "i": 1, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.818 } ], "cite_overlap_p50": 0.791, "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 the bench 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 the bench 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": 1.3236718619591556, "ttft_ms": 757, "tokens_in": 12541, "tokens_out": 93, "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 frozen moment § {#top}. The round's metered spend was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The article notes that the agent transport holds no cost figure and no token counters § {#the-author-of-this-page-is-a-contestant-in-it}.", "served": "Twenty language models were handed the frozen moment § {#top}. The round's metered spend was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The article notes that the agent transport holds no cost figure and no token counters § {#the-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": 7.343597527011298, "ttft_ms": 6375, "tokens_in": 63492, "tokens_out": 97, "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": 0.875 } ], "cite_overlap_p50": 0.875, "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 the tour guide's notebook as well § {#the-first-promise-your-visit-stays-between-us}. A nightly sweep is used to maintain this thirty days limit § {#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 the tour guide's notebook as well § {#the-first-promise-your-visit-stays-between-us}. A nightly sweep is used to maintain this thirty days limit § {#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": 0.7843929819646291, "ttft_ms": 313, "tokens_in": 4750, "tokens_out": 89, "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": 0.833 }, { "i": 2, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.571 } ], "cite_overlap_p50": 0.833, "id": "on-30", "kind": "on-page" }, { "slug": "how-we-work", "q": "what does the page say about the humans and agents who make each exhibit?", "ok": true, "answer": "The page states that the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator provides the initial noticing, makes binding rulings, and provides the final sign-off for release § {#the-thorough-walk}. The article notes that the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "served": "The page states that the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator provides the initial noticing, makes binding rulings, and provides the final sign-off for release § {#the-thorough-walk}. The article notes that 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": 0.8949854639940895, "ttft_ms": 332, "tokens_in": 5210, "tokens_out": 105, "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": 0.375 }, { "i": 1, "cite": "the-thorough-walk", "overlap": 0.55 }, { "i": 2, "cite": "the-plain-english-version", "overlap": 0.667 } ], "cite_overlap_p50": 0.55, "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 242.0 ms in the laptop era to 77.5 ms in the new era § {#instrument-two-the-receipts}. This comparison is noted as the retrieval leg that the move actually touched § {#instrument-two-the-receipts}.", "served": "The median search time went from 242.0 ms in the laptop era to 77.5 ms in the new era § {#instrument-two-the-receipts}. This comparison is noted as the retrieval leg that the move actually touched § {#instrument-two-the-receipts}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7190789089654572, "ttft_ms": 362, "tokens_in": 6101, "tokens_out": 64, "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": [ "242.0", "77.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "receipts", "overlap": 0.9 }, { "i": 1, "cite": "receipts", "overlap": 0.857 } ], "cite_overlap_p50": 0.879, "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 the roster registers no on-disk blob size because no leg of this arc measured one § {#roster}.", "served": "Nine models and eleven arms sat the five exams, and the box never stopped serving its real users § {#top}. The article notes that the roster registers no on-disk blob size because no leg of this arc measured one § {#roster}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.5293134539970197, "ttft_ms": 2128, "tokens_in": 30322, "tokens_out": 50, "cached_tokens": 32, "cites": [ "top", "roster" ], "gates": { "cites": [ "top", "roster" ], "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": 1.0 } ], "cite_overlap_p50": 0.962, "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, qwen3.6:27b, was refused at the gate § {#the-verdict}. This candidate was rejected because it invented facts twice in thirteen prompts § {#the-verdict} and failed the latency floor with a warm median of 3 335.9 ms against the bar's 2 757.6 ms § {#floor-4-latency}. The article notes that no threshold table was published for the candidate and no deployment changes were made § {#the-verdict}.", "served": "The August class's best voice, qwen3.6:27b, was refused at the gate § {#the-verdict}. This candidate was rejected because it invented facts twice in thirteen prompts § {#the-verdict} and failed the latency floor with a warm median of 3 335.9 ms against the bar's 2 757.6 ms § {#floor-4-latency}. The article notes that no threshold table was published for the candidate and no deployment changes were made § {#the-verdict}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.7845990200294182, "ttft_ms": 1006, "tokens_in": 16668, "tokens_out": 120, "cached_tokens": 32, "cites": [ "the-verdict", "floor-4-latency" ], "gates": { "cites": [ "the-verdict", "floor-4-latency" ], "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", "3", "335.9", "2", "757.6" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-verdict", "overlap": 0.375 }, { "i": 1, "cite": "the-verdict", "overlap": 0.944 }, { "i": 1, "cite": "floor-4-latency", "overlap": 0.5 }, { "i": 2, "cite": "the-verdict", "overlap": 0.5 } ], "cite_overlap_p50": 0.5, "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 § {#vendors}. 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 § {#vendors}. 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": 1.1396849100128748, "ttft_ms": 639, "tokens_in": 10362, "tokens_out": 82, "cached_tokens": 32, "cites": [ "vendors" ], "gates": { "cites": [ "vendors" ], "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": [ "0.178", "30", "80", "0.450", "0.628" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "vendors", "overlap": 0.429 }, { "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 § {#top}. All four of these models broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. The article notes that olmo-3.1:32b-think-q4_K_M was an arm that never ran the voice probe § {#exam-two-the-narrators-chair}.", "served": "Four open-weight models landed in one week of August 2026 § {#top}. All four of these models broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. The article notes that olmo-3.1:32b-think-q4_K_M was an arm that never ran the voice probe § {#exam-two-the-narrators-chair}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2537928620004095, "ttft_ms": 671, "tokens_in": 11270, "tokens_out": 96, "cached_tokens": 32, "cites": [ "top", "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "gates": { "cites": [ "top", "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", "3.1", "32", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "top", "overlap": 1.0 }, { "i": 1, "cite": "exam-one-the-judge-chair", "overlap": 1.0 }, { "i": 2, "cite": "exam-two-the-narrators-chair", "overlap": 0.75 } ], "cite_overlap_p50": 1.0, "id": "on-36", "kind": "on-page" }, { "slug": "seat-trials", "q": "what are the kill-recall and preservation floors a model must clear?", "ok": true, "answer": "A model must achieve a kill-recall of at least 23/27 and a preservation of at least 13/16 to clear the floors § {#the-instrument}. These two floors are written down before any model runs and each binds on its own § {#the-instrument}.", "served": "A model must achieve a kill-recall of at least 23/27 and a preservation of at least 13/16 to clear the floors § {#the-instrument}. These two floors are written down before any model runs and each binds on its own § {#the-instrument}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7725275700213388, "ttft_ms": 425, "tokens_in": 7238, "tokens_out": 62, "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": 0.6 }, { "i": 1, "cite": "the-instrument", "overlap": 1.0 } ], "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 forty scored runs of 24 distinct model tags were conducted § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets § {#the-method-limits-first}. The text notes that no delta across record sets is ever published and that loaded sizes were not sampled for the 2026-08 field § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "The article states that forty scored runs of 24 distinct model tags were conducted § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets § {#the-method-limits-first}. The text notes that no delta across record sets is ever published and that loaded sizes were not sampled for the 2026-08 field § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3528360350173898, "ttft_ms": 632, "tokens_in": 10384, "tokens_out": 123, "cached_tokens": 32, "cites": [ "provenance-4cae43", "the-method-limits-first", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "gates": { "cites": [ "provenance-4cae43", "the-method-limits-first", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "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", "9.0", "7.0", "6.2", "2026-08" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "provenance-4cae43", "overlap": 0.667 }, { "i": 1, "cite": "the-method-limits-first", "overlap": 1.0 }, { "i": 2, "cite": "the-2026-08-field-six-arms-on-the-96g-workstation-blind", "overlap": 0.385 } ], "cite_overlap_p50": 0.667, "id": "on-38", "kind": "on-page" }, { "slug": "licences", "q": "what does the page say it does with each model's licence?", "ok": true, "answer": "The page states that it reads each model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These readings are performed using specific methods named for each table, such as reading the 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 unread models are withheld and that some models, such as gemma2:9b, are not currently installed on the bench box and thus cannot be re-read § {#provenance-063a00}.", "served": "The page states that it reads each model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These readings are performed using specific methods named for each table, such as reading the 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 unread models are withheld and that some models, such as gemma2:9b, are not currently installed on the bench box and thus cannot be re-read § {#provenance-063a00}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.466121495992411, "ttft_ms": 504, "tokens_in": 8595, "tokens_out": 167, "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": [ "2", "9" ], "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": 0.158 }, { "i": 1, "cite": "the-painters-diffusion-read-2026-08-11-except-where-a-row", "overlap": 0.474 }, { "i": 2, "cite": "provenance-063a00", "overlap": 0.2 } ], "cite_overlap_p50": 0.337, "id": "on-39", "kind": "on-page" }, { "slug": "hear-it-for-yourself", "q": "how many clips does the page carry, and how many presentations made up the sitting?", "ok": true, "answer": "The page carries eighty-four clips § {#what-you-are-hearing} and the sitting was made up of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations consisted of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the run actually rendered eighty-five clips § {#how-to-check-these-clips}.", "served": "The page carries eighty-four clips § {#what-you-are-hearing} and the sitting was made up of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations consisted of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the 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": 1.7398442450212315, "ttft_ms": 1163, "tokens_in": 19071, "tokens_out": 89, "cached_tokens": 32, "cites": [ "what-you-are-hearing", "the-blind-sheet-unsealed", "how-to-check-these-clips" ], "gates": { "cites": [ "what-you-are-hearing", "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": "what-you-are-hearing", "overlap": 0.625 }, { "i": 0, "cite": "the-blind-sheet-unsealed", "overlap": 0.625 }, { "i": 1, "cite": "the-blind-sheet-unsealed", "overlap": 0.857 }, { "i": 2, "cite": "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 did not clear the listening test, as the listener preferred the untouched model on 11 of the 24 pairs and the adapter on 4 § {#the-blind-sitting}. On the four requests that specifically asked for house, the untouched model won every pair the listener could separate § {#what-the-adapter-actually-did}. The article notes that the listener abstained on 9 of the 24 pairs and that the sentinel block did not accept under the registered design § {#the-blind-sitting}.", "served": "The adapter did not clear the listening test, as the listener preferred the untouched model on 11 of the 24 pairs and the adapter on 4 § {#the-blind-sitting}. On the four requests that specifically asked for house, the untouched model won every pair the listener could separate § {#what-the-adapter-actually-did}. The article notes that the listener abstained on 9 of the 24 pairs and that the sentinel block did not accept under the registered design § {#the-blind-sitting}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.236520008998923, "ttft_ms": 592, "tokens_in": 9267, "tokens_out": 110, "cached_tokens": 32, "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "gates": { "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "cites_dropped": [], "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": [ "11", "24", "4", "9", "24" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-blind-sitting", "overlap": 1.0 }, { "i": 1, "cite": "what-the-adapter-actually-did", "overlap": 0.75 }, { "i": 2, "cite": "the-blind-sitting", "overlap": 0.818 } ], "cite_overlap_p50": 0.818, "id": "on-41", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what does a large cloud provider charge for the same work?", "ok": true, "answer": "The article does not 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": 0.6068706180085428, "ttft_ms": 485, "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 a postal address for 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": 0.4666996640153229, "ttft_ms": 340, "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 state how many people subscribe to this 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": 1.0058673089952208, "ttft_ms": 759, "tokens_in": 12526, "tokens_out": 38, "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": 10.575911199965049, "ttft_ms": 10150, "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}. The text only details power draw measurements 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": 1.2322806480224244, "ttft_ms": 671, "tokens_in": 11093, "tokens_out": 95, "cached_tokens": 0, "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": 0.75 } ], "cite_overlap_p50": 0.375, "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": 0.5181731730117463, "ttft_ms": 349, "tokens_in": 5555, "tokens_out": 30, "cached_tokens": 32, "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 state what any of the 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": 0.4941010230104439, "ttft_ms": 313, "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": 0.0 } ], "cite_overlap_p50": 0.0, "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 answer this question, though the section § {#how-to-check-our-work-and-see-it-live} provides links to machine-readable data files such as data/c6-vps-rerun.json.", "served": "This page doesn't say. The nearest it gets is § {#how-to-check-our-work-and-see-it-live}.", "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": 0.6757993909996003, "ttft_ms": 373, "tokens_in": 6099, "tokens_out": 55, "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": [ "6" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "how-to-check-our-work-and-see-it-live", "overlap": 0.182 } ], "cite_overlap_p50": 0.182, "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 say what the weather was like on the day of the measurement § {#what-a-step-is-in-one-paragraph}.", "served": "This page doesn't say. The nearest it gets is § {#what-a-step-is-in-one-paragraph}. What 150 Watts Buys covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "what-a-step-is-in-one-paragraph", "seconds": 0.5229058310505934, "ttft_ms": 343, "tokens_in": 5434, "tokens_out": 33, "cached_tokens": 32, "cites": [ "what-a-step-is-in-one-paragraph" ], "gates": { "cites": [ "what-a-step-is-in-one-paragraph" ], "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": "what-a-step-is-in-one-paragraph", "overlap": 0.2 } ], "cite_overlap_p50": 0.2, "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": 0.41081321699311957, "ttft_ms": 260, "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": 0.7710370889981277, "ttft_ms": 637, "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 § {#the-typist-and-the-developer}.", "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": 0.4949588179588318, "ttft_ms": 352, "tokens_in": 5534, "tokens_out": 25, "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 say how these numbers would change on windows instead § {#what-we-can-show-you}.", "served": "This page doesn't say. The nearest it gets is § {#what-we-can-show-you}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "what-we-can-show-you", "seconds": 0.5002865620190278, "ttft_ms": 351, "tokens_in": 5439, "tokens_out": 26, "cached_tokens": 32, "cites": [ "what-we-can-show-you" ], "gates": { "cites": [ "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": "what-we-can-show-you", "overlap": 0.2 } ], "cite_overlap_p50": 0.2, "id": "off-13", "kind": "off-page" }, { "slug": "the-open-call", "q": "what did other reviewers say about this piece after it was published?", "ok": true, "answer": "The article does not state what other reviewers said about this piece after it was published § {#the-author-of-this-page-is-a-contestant-in-it}. The text only mentions that the page is the eleventh public exhibit of this research series § {#provenance}.", "served": "This page doesn't say. The nearest it gets is § {#the-author-of-this-page-is-a-contestant-in-it}. Three New Voices at the Narrator's Chair covers it more directly.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": true, "abstain_source": "model", "abstain_section": "the-author-of-this-page-is-a-contestant-in-it", "seconds": 7.1926489640027285, "ttft_ms": 6421, "tokens_in": 63489, "tokens_out": 61, "cached_tokens": 32, "cites": [ "the-author-of-this-page-is-a-contestant-in-it", "provenance" ], "gates": { "cites": [ "the-author-of-this-page-is-a-contestant-in-it", "provenance" ], "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-author-of-this-page-is-a-contestant-in-it", "overlap": 0.429 }, { "i": 1, "cite": "provenance", "overlap": 0.75 } ], "cite_overlap_p50": 0.59, "id": "off-14", "kind": "off-page" }, { "slug": "the-new-kid", "q": "how does this compare to a result published in 2028?", "ok": false, "answer": "The article does not provide information regarding a result published in 2028, as all mentioned dates occur in 2026 § {#the-arrival}. The closest section to this topic is the discussion of the model's arrival and the dates of the various instruments § {#the-arrival}.", "served": "The closest section to this topic is the discussion of the model's arrival and the dates of the various instruments § {#the-arrival}.", "partial": true, "sentences_kept": 1, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.473807395028416, "ttft_ms": 894, "tokens_in": 15091, "tokens_out": 63, "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 § {#a-different-kind-of-row}. 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