{ "schema_version": "1.1", "instrument": { "figures_read_from": "cite-cut prose (gates.prose_of) since 2026-09-09", "warm_arm_walk": "per page, one warm immediately before that page's own questions, since 2026-09-09", "not_comparable_with": "reports whose schema_version is 1.0" }, "run_utc": "2026-09-12T22:55:34Z", "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": 0, "sentences_kept": 138, "sentences_written": 140, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 2, "off_page_abstained_by_model": 19, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 0, "off_page_cited": 19, "redaction_hits": 0, "cite_overlap_p50": 0.6385000000000001, "cite_overlap_min": 0.0, "cite_overlap_max": 1.0, "cite_overlap_rows": 60, "seat_errors": 0, "p50_seconds": 1.026, "p95_seconds": 7.503, "pages_warmed": null, "cache_hits": null, "cache_hit_of": null }, "rows": [ { "slug": "three-new-voices-at-the-narrators-chair", "q": "what did the round cost in total, and how were the three new voices judged?", "ok": true, "answer": "The round's metered total came to $0.7652 § {#the-bill}. The three new voices were judged by a blind panel of seven seats from outside model families, six of which carried this round, reading lettered replies with no model names on them § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the panel's reading of the GLM 5.3 seat was not included because the chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}.", "served": "The round's metered total came to $0.7652 § {#the-bill}. The three new voices were judged by a blind panel of seven seats from outside model families, six of which carried this round, reading lettered replies with no model names on them § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the panel's reading of the GLM 5.3 seat was not included because the chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 11.125952493981458, "ttft_ms": 9813, "tokens_in": 82794, "tokens_out": 130, "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", "5.3" ], "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": "seven-seats-six-carried-and-where-their-zeros-sit", "overlap": 0.769 } ], "cite_overlap_p50": 0.769, "id": "on-01", "kind": "on-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. A seven-family panel produced a pooled preference rate of 0.544 for Claude Fable 5.1, and the resulting 95% cluster bootstrap interval of [0.444, 0.638] covers 0.5 § {#head-to-head}. The narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "served": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. A seven-family panel produced a pooled preference rate of 0.544 for Claude Fable 5.1, and the resulting 95% cluster bootstrap interval of [0.444, 0.638] covers 0.5 § {#head-to-head}. The narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.6905741809750907, "ttft_ms": 1803, "tokens_in": 26913, "tokens_out": 123, "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", "95", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "head-to-head", "overlap": 0.875 }, { "i": 1, "cite": "head-to-head", "overlap": 0.842 }, { "i": 2, "cite": "two-strangers-at-the-door", "overlap": 1.0 } ], "cite_overlap_p50": 0.875, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any worlds that were left out, moved, or not measured § {#for-the-technically-curious}.", "served": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any worlds that were left out, moved, or not measured § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5796424970030785, "ttft_ms": 263, "tokens_in": 3145, "tokens_out": 62, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1280", "40" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "for-the-technically-curious", "overlap": 0.857 }, { "i": 1, "cite": "for-the-technically-curious", "overlap": 0.167 } ], "cite_overlap_p50": 0.512, "id": "on-03", "kind": "on-page" }, { "slug": "the-beat-lab-asked-and-answered", "q": "how many answers does the page carry, and does any model run to make it?", "ok": true, "answer": "The page carries twenty-seven answers and no model is asked for any of them § {#where-these-answers-come-from}. The answers were drafted by AI agents and approved by humans, but no model ran to derive the page itself § {#who-ran-this-and-thanks}.", "served": "The page carries twenty-seven answers and no model is asked for any of them § {#where-these-answers-come-from}. The answers were drafted by AI agents and approved by humans, but no model ran to derive the page itself § {#who-ran-this-and-thanks}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6398867350071669, "ttft_ms": 309, "tokens_in": 4643, "tokens_out": 62, "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": 0.833 }, { "i": 1, "cite": "who-ran-this-and-thanks", "overlap": 0.9 } ], "cite_overlap_p50": 0.867, "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": 1.3102516670478508, "ttft_ms": 785, "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 of a raw render § {#how-to-listen}. The listening 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}. Thirty-two of the sixty-three clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}.", "served": "There are sixty-three players on the page, each playing a listening master of a raw render § {#how-to-listen}. The listening 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}. Thirty-two of the sixty-three clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.8137016179971397, "ttft_ms": 848, "tokens_in": 14463, "tokens_out": 161, "cached_tokens": 32, "cites": [ "how-to-listen" ], "gates": { "cites": [ "how-to-listen" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16", "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "how-to-listen", "overlap": 1.0 }, { "i": 1, "cite": "how-to-listen", "overlap": 0.714 }, { "i": 2, "cite": "how-to-listen", "overlap": 1.0 }, { "i": 3, "cite": "how-to-listen", "overlap": 0.955 } ], "cite_overlap_p50": 0.978, "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, moved, or not measured in relation to these specific training durations § {#the-bill}.", "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, moved, or not measured in relation to these specific training durations § {#the-bill}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8566271140007302, "ttft_ms": 358, "tokens_in": 5703, "tokens_out": 92, "cached_tokens": 32, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill" ], "cites_dropped": [], "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 }, { "i": 1, "cite": "the-bill", "overlap": 0.111 } ], "cite_overlap_p50": 0.455, "id": "on-07", "kind": "on-page" }, { "slug": "chopin-in-five-minutes", "q": "how many recordings were used, and how long did the training take by the trainer's clock?", "ok": true, "answer": "Nineteen recordings were used for training, and the process took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article notes that five recordings were held back for a test that has not yet run § {#five-minutes-of-training-honestly-accounted}.", "served": "Nineteen recordings were used for training, and the process took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article notes that five recordings were held back for a test that has not yet run § {#five-minutes-of-training-honestly-accounted}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6777689439477399, "ttft_ms": 281, "tokens_in": 3843, "tokens_out": 76, "cached_tokens": 32, "cites": [ "five-minutes-of-training-honestly-accounted" ], "gates": { "cites": [ "five-minutes-of-training-honestly-accounted" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4", "49" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "five-minutes-of-training-honestly-accounted", "overlap": 0.833 }, { "i": 1, "cite": "five-minutes-of-training-honestly-accounted", "overlap": 0.75 } ], "cite_overlap_p50": 0.791, "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 16/19 count § {#two-local-models-sixteen-days-earlier}. Several other local models were measured on this instrument, including gemma4:26b (the seat) which read 14/19 [51.2%, 88.2%] at think:false and 15/19 [56.7%, 91.5%] at think:true, gemma4:31b which read 12/19, and muse-glimmer:30b which read 13/19 § {#sixteen-of-nineteen}.", "served": "The glm-5.3-flash reference arm scored 16/19 — 84.2%, Wilson 95% interval [62.4%, 94.5%] on the tool bench § {#sixteen-of-nineteen}. Two local models, gemma4:12b and qwen3.6:27b, also landed on the exact same 16/19 count § {#two-local-models-sixteen-days-earlier}. Several other local models were measured on this instrument, including gemma4:26b (the seat) which read 14/19 [51.2%, 88.2%] at think:false and 15/19 [56.7%, 91.5%] at think:true, gemma4:31b which read 12/19, and muse-glimmer:30b which read 13/19 § {#sixteen-of-nineteen}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.601803203986492, "ttft_ms": 392, "tokens_in": 6553, "tokens_out": 221, "cached_tokens": 32, "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier" ], "gates": { "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier" ], "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", "4:26", "14/19", "51.2", "88.2", "15/19", "56.7", "91.5", "4:31", "12/19", "30", "13/19" ], "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": "sixteen-of-nineteen", "overlap": 0.68 } ], "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": 1.2106511649908498, "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 § {#what-the-battery-was-for-the-instrument-travels}.", "served": "The ranked model, qwen3.6:27b, cleared both judge floors and was ranked again § {#the-chair-and-who-gets-to-sit-in-it}. It achieved a kill-recall of 11 of 12 and a preservation of 8 of 9 § {#the-standings}. The article notes that the missed item in the kill-recall count moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2553755230037495, "ttft_ms": 508, "tokens_in": 8777, "tokens_out": 126, "cached_tokens": 32, "cites": [ "the-chair-and-who-gets-to-sit-in-it", "the-standings", "what-the-battery-was-for-the-instrument-travels" ], "gates": { "cites": [ "the-chair-and-who-gets-to-sit-in-it", "the-standings", "what-the-battery-was-for-the-instrument-travels" ], "cites_dropped": [], "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": 0.875 } ], "cite_overlap_p50": 0.8, "id": "on-11", "kind": "on-page" }, { "slug": "nine-worlds-one-dog", "q": "what stays the same across the nine paintings?", "ok": true, "answer": "The founder's dog, who is a large black Portuguese Water Dog with one bright white chest patch, takes the same nap under the same tree in all nine painted worlds § {#top}. He maintains the same dog, same curl, and same tucked paws every time § {#for-the-technically-curious}.", "served": "The founder's dog, who is a large black Portuguese Water Dog with one bright white chest patch, takes the same nap under the same tree in all nine painted worlds § {#top}. He maintains the same dog, same curl, and same tucked paws every time § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5124588320031762, "ttft_ms": 185, "tokens_in": 2058, "tokens_out": 66, "cached_tokens": 32, "cites": [ "top", "for-the-technically-curious" ], "gates": { "cites": [ "top", "for-the-technically-curious" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "top", "overlap": 0.526 }, { "i": 1, "cite": "for-the-technically-curious", "overlap": 0.444 } ], "cite_overlap_p50": 0.485, "id": "on-12", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what did the 450-watt cap cost the dense model, and what did it buy back?", "ok": true, "answer": "On the dense arm, the 600 → 450 W cap costs 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. At concurrency 16, the throughput moved from 94.6 to 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. The article notes that it did not measure the cost for long-context or prefill-heavy workloads § {#what-this-page-does-not-say}.", "served": "On the dense arm, the 600 → 450 W cap costs 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. At concurrency 16, the throughput moved from 94.6 to 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. The article notes that it did not measure the cost for long-context or prefill-heavy workloads § {#what-this-page-does-not-say}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1657474180101417, "ttft_ms": 422, "tokens_in": 7269, "tokens_out": 134, "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": 1.0 }, { "i": 1, "cite": "the-answer-in-one-paragraph", "overlap": 1.0 }, { "i": 2, "cite": "what-this-page-does-not-say", "overlap": 0.5 } ], "cite_overlap_p50": 1.0, "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 mention any measurements for what was left out, moved, or not measured § {#numbers-so-it-isnt-just-talk}.", "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 mention any measurements for what was left out, moved, or not measured § {#numbers-so-it-isnt-just-talk}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.019615638011601, "ttft_ms": 2243, "tokens_in": 31469, "tokens_out": 92, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "numbers-so-it-isnt-just-talk" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "numbers-so-it-isnt-just-talk" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-sound-is-made-on-your-device", "overlap": 0.875 }, { "i": 1, "cite": "what-happens-when-you-ask-the-genie", "overlap": 1.0 }, { "i": 2, "cite": "numbers-so-it-isnt-just-talk", "overlap": 0.167 } ], "cite_overlap_p50": 0.875, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was streaming tokens at the same time, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article does not measure how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was streaming tokens at the same time, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article does not measure how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8150638350052759, "ttft_ms": 348, "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}. For the z-image-turbo model, the 96 GB card was 3.9× faster than the 3090 § {#the-table-that-answers-the-question}. The article notes that it did not test 8–12 GB cards § {#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}. For the z-image-turbo model, the 96 GB card was 3.9× faster than the 3090 § {#the-table-that-answers-the-question}. The article notes that it did not test 8–12 GB cards § {#three-findings-we-didnt-order}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9741970659815706, "ttft_ms": 314, "tokens_in": 4777, "tokens_out": 126, "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", "3.9", "3090", "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": 0.625 }, { "i": 2, "cite": "three-findings-we-didnt-order", "overlap": 0.8 } ], "cite_overlap_p50": 0.625, "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 the minicpm-v4.5 model § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "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 the minicpm-v4.5 model § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2797616790048778, "ttft_ms": 636, "tokens_in": 10311, "tokens_out": 107, "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": 0.714 } ], "cite_overlap_p50": 0.757, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "The distilled painter is the fastest cell in the second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the distilled painter's template zeroes the negative conditioning that the no-signature guard rides on, resulting in 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 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, resulting in 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": 0.9307801329996437, "ttft_ms": 345, "tokens_in": 5434, "tokens_out": 110, "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": 0.9 }, { "i": 1, "cite": "finding-four-the-argument-with-our-own-settings-and-what-it", "overlap": 0.824 } ], "cite_overlap_p50": 0.862, "id": "on-18", "kind": "on-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "The world is written in a single YAML file containing 16,705 lines § {#the-world-is-a-file}. This file holds six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. No scores or instrumentation were used for this specific walk § {#the-walk-is-a-walk}.", "served": "The world is written in a single YAML file containing 16,705 lines § {#the-world-is-a-file}. This file holds six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. No scores or instrumentation were used for this specific walk § {#the-walk-is-a-walk}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8485009780270047, "ttft_ms": 374, "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 already sitting in archives, such as co-evolution fingerprints or molecular shapes in a library § {#the-first-engine-the-archive-nobody-had-read} § {#two-kinds-of-there-all-along}. The second engine involves walking regions of rule-space that no one has visited, such as a planet's position in 1631 or an anti-electron § {#the-second-engine-the-rooms-the-rules-imply} § {#two-kinds-of-there-all-along}. Structural biologists noted that these engines leave out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "served": "The two engines 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 already sitting in archives, such as co-evolution fingerprints or molecular shapes in a library § {#the-first-engine-the-archive-nobody-had-read} § {#two-kinds-of-there-all-along}. The second engine involves walking regions of rule-space that no one has visited, such as a planet's position in 1631 or an anti-electron § {#the-second-engine-the-rooms-the-rules-imply} § {#two-kinds-of-there-all-along}. Structural biologists noted that these engines leave out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.4100409329985268, "ttft_ms": 350, "tokens_in": 5472, "tokens_out": 199, "cached_tokens": 32, "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read", "the-second-engine-the-rooms-the-rules-imply" ], "gates": { "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read", "the-second-engine-the-rooms-the-rules-imply" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1631" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "two-kinds-of-there-all-along", "overlap": 0.889 }, { "i": 1, "cite": "the-first-engine-the-archive-nobody-had-read", "overlap": 0.357 }, { "i": 1, "cite": "two-kinds-of-there-all-along", "overlap": 0.357 }, { "i": 2, "cite": "the-second-engine-the-rooms-the-rules-imply", "overlap": 0.462 }, { "i": 2, "cite": "two-kinds-of-there-all-along", "overlap": 0.308 }, { "i": 3, "cite": "the-first-engine-the-archive-nobody-had-read", "overlap": 0.231 } ], "cite_overlap_p50": 0.357, "id": "on-20", "kind": "on-page" }, { "slug": "compression-is-the-objective", "q": "what does the page say a language model is, and what prize does it point to?", "ok": true, "answer": "A language model is a compression of its corpus § {#the-punchline}. The article points to the Hutter Prize, which charges for everything including self-extracting entries and every decompressor byte counted § {#the-punchline}. The text notes that a frontier model cannot even enter this prize because the weights outweigh the file by more than a hundred times § {#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 and every decompressor byte counted § {#the-punchline}. The text notes that a frontier model cannot even enter this prize because the weights outweigh the file by more than a hundred times § {#the-punchline}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.785527010972146, "ttft_ms": 346, "tokens_in": 5448, "tokens_out": 81, "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": 0.333 }, { "i": 2, "cite": "the-punchline", "overlap": 0.467 } ], "cite_overlap_p50": 0.467, "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 § {#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 § {#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": 1.085727328027133, "ttft_ms": 438, "tokens_in": 7529, "tokens_out": 116, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "138.6", "1,982", "1.1", "1.0" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-day-the-box-got-faster", "overlap": 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× the speed of the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. In the 08-19 pair, the q8 build was 28% slower in tokens per second than the q4 build § {#the-same-brain-at-two-compressions}. The article does not explicitly state the exact speed difference between the uncompressed original and the q4 build, though it notes the uncompressed original's speed was 58.1 tok/s compared to the q4 build's 129.4 tok/s § {#the-same-question-down-the-whole-ladder}. The text notes it does not measure perplexity § {#what-this-page-does-not-say}.", "served": "The uncompressed original was 3.4× the speed of the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. In the 08-19 pair, the q8 build was 28% slower in tokens per second than the q4 build § {#the-same-brain-at-two-compressions}. The article does not explicitly state the exact speed difference between the uncompressed original and the q4 build, though it notes the uncompressed original's speed was 58.1 tok/s compared to the q4 build's 129.4 tok/s § {#the-same-question-down-the-whole-ladder}. The text notes it does not measure perplexity § {#what-this-page-does-not-say}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.5169127660337836, "ttft_ms": 506, "tokens_in": 8637, "tokens_out": 177, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "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", "08-19", "8", "28", "4", "4", "58.1", "4", "129.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-same-question-down-the-whole-ladder", "overlap": 1.0 }, { "i": 1, "cite": "the-same-brain-at-two-compressions", "overlap": 0.8 }, { "i": 2, "cite": "the-same-question-down-the-whole-ladder", "overlap": 0.667 }, { "i": 3, "cite": "what-this-page-does-not-say", "overlap": 0.75 } ], "cite_overlap_p50": 0.775, "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": 1.0400883770198561, "ttft_ms": 455, "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}. In contrast, writing is serial because the model must choose one token at a time, and 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}. In contrast, writing is serial because the model must choose one token at a time, and 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": 0.9373240399872884, "ttft_ms": 352, "tokens_in": 5557, "tokens_out": 108, "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": 0.786 } ], "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 publisher errata to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not state what was left out, moved, or not measured in relation to these specific components.", "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 publisher errata to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not state what was left out, moved, or not measured in relation to these specific components.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9341039299615659, "ttft_ms": 365, "tokens_in": 5913, "tokens_out": 104, "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 qwen3.8:27b 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 missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the judge seat's publication was unruled § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "served": "The qwen3.8:27b model passed the classifier seat, clearing all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the judge seat's publication was unruled § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.828259836009238, "ttft_ms": 905, "tokens_in": 15091, "tokens_out": 147, "cached_tokens": 32, "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "gates": { "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.8", "27", "13", "11", "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-classifier-seat-five-gates-all-pass-faster", "overlap": 0.579 }, { "i": 0, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.684 }, { "i": 1, "cite": "the-classifier-seat-five-gates-all-pass-faster", "overlap": 0.778 }, { "i": 1, "cite": "the-judge-seat-and-the-floor-it-missed", "overlap": 0.556 } ], "cite_overlap_p50": 0.631, "id": "on-27", "kind": "on-page" }, { "slug": "llms-txt", "q": "did any ai crawler fetch the file in the first thirty days, and how big is the largest measured llms-full file?", "ok": true, "answer": "No AI crawler asked for the file in thirty days of logs § {#does-anyone-fetch-it}. The largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that it does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-bench-if-the-map-arrives-does-it-help}.", "served": "No AI crawler asked for the file in thirty days of logs § {#does-anyone-fetch-it}. The largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that it does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-bench-if-the-map-arrives-does-it-help}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3183966159704141, "ttft_ms": 758, "tokens_in": 12541, "tokens_out": 92, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "gates": { "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "30.7" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "does-anyone-fetch-it", "overlap": 0.571 }, { "i": 1, "cite": "where-the-file-came-from", "overlap": 1.0 }, { "i": 2, "cite": "the-bench-if-the-map-arrives-does-it-help", "overlap": 0.0 } ], "cite_overlap_p50": 0.571, "id": "on-28", "kind": "on-page" }, { "slug": "the-open-call", "q": "how many models were handed the frozen moment, and what did the round cost?", "ok": true, "answer": "Twenty language models were handed the frozen moment § {#top}. The metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The article notes that the agent transport holds no cost figure and no token counters § {#the-author-of-this-page-is-a-contestant-in-it}.", "served": "Twenty language models were handed the frozen moment § {#top}. The metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. The article notes that the agent transport holds no cost figure and no token counters § {#the-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": 7.583511740027461, "ttft_ms": 6594, "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": 0.75 }, { "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 all notebooks, including the tour guide's, and is maintained by a nightly sweep § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, the notebooks were set to keep their lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "served": "Every notebook on the server now keeps thirty days of entries § {#the-first-promise-your-visit-stays-between-us}. This rule applies to all notebooks, including the tour guide's, and is maintained by a nightly sweep § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, the notebooks were set to keep their lines for up to a hundred years § {#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": 0.8767756529850885, "ttft_ms": 312, "tokens_in": 4750, "tokens_out": 107, "cached_tokens": 32, "cites": [ "the-first-promise-your-visit-stays-between-us" ], "gates": { "cites": [ "the-first-promise-your-visit-stays-between-us" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.875 }, { "i": 1, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.778 }, { "i": 2, "cite": "the-first-promise-your-visit-stays-between-us", "overlap": 0.8 } ], "cite_overlap_p50": 0.8, "id": "on-30", "kind": "on-page" }, { "slug": "how-we-work", "q": "what does the page say about the humans and agents who make each exhibit?", "ok": true, "answer": "The article states that the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, drafting, and auditing, while the human operator provides the initial spark of noticing, makes binding rulings, and provides the final sign-off for release § {#the-thorough-walk}. The human makes the work true by deciding what is worth testing and what the numbers mean, whereas agents make the work bigger by testing more models and verifying more claims § {#the-thorough-walk}. Regarding what was not measured, the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "served": "The article states that the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, drafting, and auditing, while the human operator provides the initial spark of noticing, makes binding rulings, and provides the final sign-off for release § {#the-thorough-walk}. The human makes the work true by deciding what is worth testing and what the numbers mean, whereas agents make the work bigger by testing more models and verifying more claims § {#the-thorough-walk}. Regarding what was not measured, the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "partial": false, "sentences_kept": 4, "sentences_written": 4, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1217477360041812, "ttft_ms": 336, "tokens_in": 5210, "tokens_out": 148, "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": 0.5 }, { "i": 2, "cite": "the-thorough-walk", "overlap": 0.824 }, { "i": 3, "cite": "the-plain-english-version", "overlap": 0.615 } ], "cite_overlap_p50": 0.557, "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 change represents 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 change represents 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": 0.7115329809603281, "ttft_ms": 371, "tokens_in": 6101, "tokens_out": 62, "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 stayed in service throughout the trials § {#top}. The article notes that no on-disk blob size was measured and that the roster registers no such figure § {#roster}.", "served": "Nine models and eleven arms sat the five exams, and the box stayed in service throughout the trials § {#top}. The article notes that no on-disk blob size was measured and that the roster registers no such figure § {#roster}.", "partial": false, "sentences_kept": 2, "sentences_written": 2, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.5311286879586987, "ttft_ms": 2131, "tokens_in": 30322, "tokens_out": 49, "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": 1.0 }, { "i": 1, "cite": "roster", "overlap": 0.889 } ], "cite_overlap_p50": 0.945, "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}. The 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}. No threshold table was published for the candidate because it failed its gate § {#the-verdict}.", "served": "The August class's best voice, qwen3.6:27b, was refused at the gate § {#the-verdict}. The 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}. No threshold table was published for the candidate because it failed its gate § {#the-verdict}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.735605442954693, "ttft_ms": 1010, "tokens_in": 16668, "tokens_out": 111, "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": 0.714 } ], "cite_overlap_p50": 0.607, "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": 1.1371853300370276, "ttft_ms": 641, "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 the fresh models were unmeasurable because each 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 had no row in the voice record set § {#exam-two-the-narrators-chair}.", "served": "Four open-weight models landed in one week of August 2026 § {#top}. All four of the fresh models were unmeasurable because each 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 had no row in the voice record set § {#exam-two-the-narrators-chair}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3122356730164029, "ttft_ms": 692, "tokens_in": 11270, "tokens_out": 101, "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": 0.714 } ], "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 were written down before any model ran 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 were written down before any model ran 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": 0.7725355839938857, "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 there were 24 distinct model tags across 40 scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets § {#the-method-limits-first}. No delta across record sets is ever published, and the article notes that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "The article states that there were 24 distinct model tags across 40 scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets § {#the-method-limits-first}. No delta across record sets is ever published, and the article notes that the 2026-08 field never sampled a per-arm resident size § {#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": 1.3926762790069915, "ttft_ms": 631, "tokens_in": 10384, "tokens_out": 127, "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", "40", "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": 0.889 }, { "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": 0.571 } ], "cite_overlap_p50": 0.889, "id": "on-38", "kind": "on-page" }, { "slug": "licences", "q": "what does the page say it does with each model's licence?", "ok": true, "answer": "The page states that it reads each model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These reads are performed using specific methods, such as reading the file packaged with the weights or fetching raw permission flags from a platform's record § {#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 so their shipped licence cannot be re-read § {#the-brains-chat-vision-memory-all-read-2026-08-11}.", "served": "The page states that it reads each model's licence first-hand and stamps it with the date it was last read in full § {#how-to-read-this-page}. These reads are performed using specific methods, such as reading the file packaged with the weights or fetching raw permission flags from a platform's record § {#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 so their shipped licence cannot be re-read § {#the-brains-chat-vision-memory-all-read-2026-08-11}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.4568718829541467, "ttft_ms": 505, "tokens_in": 8595, "tokens_out": 168, "cached_tokens": 32, "cites": [ "how-to-read-this-page", "the-painters-diffusion-read-2026-08-11-except-where-a-row", "the-brains-chat-vision-memory-all-read-2026-08-11" ], "gates": { "cites": [ "how-to-read-this-page", "the-painters-diffusion-read-2026-08-11-except-where-a-row", "the-brains-chat-vision-memory-all-read-2026-08-11" ], "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": "the-painters-diffusion-read-2026-08-11-except-where-a-row", "overlap": 0.438 }, { "i": 2, "cite": "the-brains-chat-vision-memory-all-read-2026-08-11", "overlap": 0.529 } ], "cite_overlap_p50": 0.529, "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}. 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On the four requests that specifically asked for house, the adapter won zero times, with the untouched model being chosen for all five preferences expressed in that subgroup § {#what-the-adapter-actually-did}. The article notes that the listener abstained on 9 of the 24 pairs and that a check on whether the untouched model had a systematic preference over itself was never run § {#the-blind-sitting}.", "served": "The adapter did not clear the listening test, as the untouched model was preferred on 11 of the 24 scored pairs § {#the-blind-sitting}. On the four requests that specifically asked for house, the adapter won zero times, with the untouched model being chosen for all five preferences expressed in that subgroup § {#what-the-adapter-actually-did}. The article notes that the listener abstained on 9 of the 24 pairs and that a check on whether the untouched model had a systematic preference over itself was never run § {#the-blind-sitting}.", "partial": false, "sentences_kept": 3, "sentences_written": 3, "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3218208180041984, "ttft_ms": 593, "tokens_in": 9267, "tokens_out": 120, "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", "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": 0.706 }, { "i": 2, "cite": "the-blind-sitting", "overlap": 0.733 } ], "cite_overlap_p50": 0.733, "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": 0.6134499509935267, "ttft_ms": 435, "tokens_in": 7259, "tokens_out": 30, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-moment-this-page-is-about", "overlap": 0.143 } ], "cite_overlap_p50": 0.143, "id": "off-01", "kind": "off-page" }, { "slug": "how-we-work", "q": "what is the postal address of the workshop that ran this?", "ok": true, "answer": "The article does not provide the postal address of the workshop § {#the-plain-english-version}.", "served": "This page doesn't say. The nearest it gets is § {#the-plain-english-version}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "the-plain-english-version", "seconds": 0.46900923299835995, "ttft_ms": 341, "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. 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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": 10.38749558001291, "ttft_ms": 9971, "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": 1.243928115000017, "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 chatbot behavior.", "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": 0.5275458410033025, "ttft_ms": 351, "tokens_in": 5555, "tokens_out": 31, "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": 0.3 } ], "cite_overlap_p50": 0.3, "id": "off-06", "kind": "off-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "what does one of these cards cost in my country today?", "ok": true, "answer": "The article does not answer what any of these cards cost in the reader's country today § {#the-moment-this-page-is-about}.", "served": "This page doesn't say. The nearest it gets is § {#the-moment-this-page-is-about}. Three New Voices at the Narrator's Chair covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 0.4923538030125201, "ttft_ms": 312, "tokens_in": 4767, "tokens_out": 33, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "the-moment-this-page-is-about", "overlap": 0.167 } ], "cite_overlap_p50": 0.167, "id": "off-07", "kind": "off-page" }, { "slug": "the-move", "q": "can you write a python script that reproduces this for me?", "ok": true, "answer": "The article does not answer this question, though the section § {#how-to-check-our-work-and-see-it-live} provides links to machine-readable data files like 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": 0.6604778440087102, "ttft_ms": 422, "tokens_in": 6099, "tokens_out": 52, "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": 0.273 } ], "cite_overlap_p50": 0.273, "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 § {#how-to-check-our-work-and-see-it-live}.", "served": "This page doesn't say. The nearest it gets is § {#how-to-check-our-work-and-see-it-live}. What 150 Watts Buys covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "how-to-check-our-work-and-see-it-live", "seconds": 0.5473578699748032, "ttft_ms": 346, "tokens_in": 5434, "tokens_out": 37, "cached_tokens": 32, "cites": [ "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "how-to-check-our-work-and-see-it-live", "overlap": 0.0 } ], "cite_overlap_p50": 0.0, "id": "off-09", "kind": "off-page" }, { "slug": "six-worlds-painted-large", "q": "how many hours a week do the people who ran this work?", "ok": true, "answer": "The article does not say how many hours a week the people who ran this work § {#who-ran-this-and-thanks}.", "served": "This page doesn't say. The nearest it gets is § {#who-ran-this-and-thanks}. How the print lab works covers it more directly.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "who-ran-this-and-thanks", "seconds": 0.4113572270143777, "ttft_ms": 262, "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": 0.7810283849830739, "ttft_ms": 644, "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": 0.497885224991478, "ttft_ms": 354, "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. 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The closest section to this topic is the provenance section, which describes how the page was authored and audited § {#provenance}.", "served": "This page doesn't say. The nearest it gets is § {#top}. 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": "top", "seconds": 7.047037188021932, "ttft_ms": 6433, "tokens_in": 63489, "tokens_out": 50, "cached_tokens": 32, "cites": [ "top", "provenance" ], "gates": { "cites": [ "top", "provenance" ], "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 }, { "i": 1, "cite": "provenance", "overlap": 0.429 } ], "cite_overlap_p50": 0.214, "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 any information regarding a result published in 2028 § {#the-limits}.", "served": "This page doesn't say. The nearest it gets is § {#the-arrival}. The outside judges — four rival labs re-check our work. covers it more directly.", "partial": false, "sentences_kept": 0, "sentences_written": 1, "abstained": true, "abstain_source": "gate", "abstain_section": "the-arrival", "seconds": 1.106323132000398, "ttft_ms": 896, "tokens_in": 15091, "tokens_out": 24, "cached_tokens": 32, "cites": [], "gates": { "cites": [], "cites_dropped": [ "the-limits" ], "cites_resolved": [], "new_noun_tokens": [ "2028" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": true, "new_noun": true, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-limits", "cite: no valid cite", "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "2028" ], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-limits" ] }, "figures": [], "figures_verbatim": true, "cites_valid": false, "redaction_hits": 0, "cite_overlap": [], "cite_overlap_p50": null, "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 state which country the workshop's business is registered in, though it mentions a datacenter where they rent a computer § {#the-second-promise-the-trip-your-question-takes}.", "served": "This page doesn't say. 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The nearest it gets is § {#for-the-technically-curious}.", "partial": false, "sentences_kept": 1, "sentences_written": 1, "abstained": true, "abstain_source": "model", "abstain_section": "for-the-technically-curious", "seconds": 0.3079414119711146, "ttft_ms": 173, "tokens_in": 2059, "tokens_out": 27, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "cites_resolved": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "section_marker": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "cite_overlap": [ { "i": 0, "cite": "for-the-technically-curious", "overlap": 0.286 } ], "cite_overlap_p50": 0.286, "id": "off-17", "kind": "off-page" }, { "slug": "how-the-beat-lab-works", "q": "what phone number reaches support?", "ok": true, "answer": "The article does not provide a phone number to reach support § {#what-it-is}. The closest information regarding contact is the small ✎ button under the board used to send feedback to the humans in the workshop § {#what-the-lab-does-with-what-you-give-it}.", "served": "This page doesn't say. 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The nearest it gets is § {#a-different-kind-of-row}. 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": "a-different-kind-of-row", "seconds": 0.5687182730180211, "ttft_ms": 399, "tokens_in": 6545, "tokens_out": 29, "cached_tokens": 32, "cites": [ "a-different-kind-of-row" ], "gates": { "cites": [ "a-different-kind-of-row" ], "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": "a-different-kind-of-row", "overlap": 0.5 } ], "cite_overlap_p50": 0.5, "id": "off-20", "kind": "off-page" }, { "slug": "seat-trials", "q": "how many models will sit this exam next year?", "ok": true, "answer": "The article does not state how many models will sit this exam next year § {#the-instrument}.", "served": "This page doesn't say. 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