{ "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": "2026-09-12T16:05:38Z", "arm": "cold", "concurrency": 6, "effective_concurrency": 6, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent" }, "packnorm_definition_recorded_not_governing": "v3", "bank": { "path": "bank.json", "counts": { "on_page": 41, "off_page": 21, "total": 62 } }, "results": { "on_page_total": 41, "on_page_answered": 40, "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": 2, "off_page_cited": 19, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 4.257, "p95_seconds": 14.722, "pages_warmed": null, "cache_hits": null, "cache_hit_of": null }, "rows": [ { "slug": "three-new-voices-at-the-narrators-chair", "q": "what did the round cost in total, and how were the three new voices judged?", "ok": true, "answer": "The metered total for the round was $0.7652 § {#the-bill}. The three new voices were judged by a panel of six families, as the zhipu chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article does not specify if any specific costs or judging details were moved or not measured, though it notes that the metered total is the only total the bill draws § {#the-bill}.", "served": "The metered total for the round was $0.7652 § {#the-bill}. The three new voices were judged by a panel of six families, as the zhipu chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article does not specify if any specific costs or judging details were moved or not measured, though it notes that the metered total is the only total the bill draws § {#the-bill}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.76073527400149, "ttft_ms": 12443, "tokens_in": 82422, "tokens_out": 108, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.7652" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-01", "kind": "on-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. The pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over the 36 cases put that rate at [0.444, 0.638], an interval that 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}. The pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over the 36 cases put that rate at [0.444, 0.638], an interval that covers 0.5 § {#head-to-head}. The narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.503778770013014, "ttft_ms": 3306, "tokens_in": 26563, "tokens_out": 123, "cached_tokens": 32, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "36", "0.544", "5.1", "36", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any figures 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 figures that were left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 12.953030322008999, "ttft_ms": 390, "tokens_in": 2944, "tokens_out": 62, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-03", "kind": "on-page" }, { "slug": "the-beat-lab-asked-and-answered", "q": "how many answers does the page carry, and does any model run to make it?", "ok": true, "answer": "The page carries twenty-seven answers and no model is asked for them § {#is-this-ai}. These answers are provided instantly with no wish spent and nothing typed leaving the page § {#the-beat-lab}. Note that nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "served": "The page carries twenty-seven answers and no model is asked for them § {#is-this-ai}. These answers are provided instantly with no wish spent and nothing typed leaving the page § {#the-beat-lab}. Note that nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 12.990184038004372, "ttft_ms": 551, "tokens_in": 4460, "tokens_out": 66, "cached_tokens": 32, "cites": [ "is-this-ai" ], "gates": { "cites": [ "is-this-ai" ], "cites_dropped": [ "the-beat-lab" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-beat-lab" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-beat-lab" ] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-04", "kind": "on-page" }, { "slug": "ten-minutes-with-living-artists", "q": "how many tracks and releases went into the adapter, and what did the one listener prefer?", "ok": true, "answer": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener, who was unblinded, stated that the model was not very good at making good edm and that most of the samples were not pieces of music they would ever listen to for pleasure § {#twelve-requests-four-ways}. The article does not measure whether the untouched model is any good at this genre or whether an unlevelled corpus taught the adapter a level rather than a style § {#what-we-did-not-measure}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener, who was unblinded, stated that the model was not very good at making good edm and that most of the samples were not pieces of music they would ever listen to for pleasure § {#twelve-requests-four-ways}. The article does not measure whether the untouched model is any good at this genre or whether an unlevelled corpus taught the adapter a level rather than a style § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.17028732597828, "ttft_ms": 1570, "tokens_in": 12901, "tokens_out": 123, "cached_tokens": 32, "cites": [ "a-genre-not-a-composer", "twelve-requests-four-ways", "what-we-did-not-measure" ], "gates": { "cites": [ "a-genre-not-a-composer", "twelve-requests-four-ways", "what-we-did-not-measure" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 clip § {#how-to-listen}. The mastered copies have one constant gain applied and nothing else, such as no limiter, no compression, no equalisation, or no trimming § {#how-to-listen}. Thirty-two of these 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}. The article notes that the raw renders sit in `audio/` and are what every measured number on the page was read off § {#how-to-listen}.", "served": "There are sixty-three players on the page, each playing a listening master of a clip § {#how-to-listen}. The mastered copies have one constant gain applied and nothing else, such as no limiter, no compression, no equalisation, or no trimming § {#how-to-listen}. Thirty-two of these 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}. The article notes that the raw renders sit in `audio/` and are what every measured number on the page was read off § {#how-to-listen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.412254682014463, "ttft_ms": 1198, "tokens_in": 14171, "tokens_out": 145, "cached_tokens": 32, "cites": [ "how-to-listen" ], "gates": { "cites": [ "how-to-listen" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 notes that the training times are based on the trainer's own clock § {#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 notes that the training times are based on the trainer's own clock § {#the-bill}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6258437739743385, "ttft_ms": 382, "tokens_in": 5425, "tokens_out": 86, "cached_tokens": 0, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3681645070028026, "ttft_ms": 437, "tokens_in": 3575, "tokens_out": 76, "cached_tokens": 32, "cites": [ "five-minutes-of-training-honestly-accounted" ], "gates": { "cites": [ "five-minutes-of-training-honestly-accounted" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "id": "on-08", "kind": "on-page" }, { "slug": "the-same-sixteen", "q": "what did glm-5.3-flash score on the tool bench, and what did the local models score?", "ok": true, "answer": "The reference arm `glm-5.3-flash:cloud` scored 16/19 — 84.2%, Wilson 95% interval [62.4%, 94.5%] on the tool bench § {#sixteen-of-nineteen}. Local models `qwen3.6:27b` and `gemma4:12b` both landed on the same 16/19 count § {#two-local-models-sixteen-days-earlier}, while the `gemma4:26b` seat read 14/19 [51.2%, 88.2%] at `think:false` and 15/19 [56.7%, 91.5%] at `think:true` § {#sixteen-of-nineteen}. Other local models like `gemma4:31b` scored 12/19 and `muse-glimmer:30b` scored 13/19 § {#two-local-models-sixteen-days-earlier}. Four instruments could not be honestly read on the cloud path, three never applied to a model that cannot hold a seat, and two were excluded because the schema was not enforced § {#the-ledger-of-what-did-not-read}.", "served": "The reference arm `glm-5.3-flash:cloud` scored 16/19 — 84.2%, Wilson 95% interval [62.4%, 94.5%] on the tool bench § {#sixteen-of-nineteen}. Local models `qwen3.6:27b` and `gemma4:12b` both landed on the same 16/19 count § {#two-local-models-sixteen-days-earlier}, while the `gemma4:26b` seat read 14/19 [51.2%, 88.2%] at `think:false` and 15/19 [56.7%, 91.5%] at `think:true` § {#sixteen-of-nineteen}. Other local models like `gemma4:31b` scored 12/19 and `muse-glimmer:30b` scored 13/19 § {#two-local-models-sixteen-days-earlier}. Four instruments could not be honestly read on the cloud path, three never applied to a model that cannot hold a seat, and two were excluded because the schema was not enforced § {#the-ledger-of-what-did-not-read}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 7.280093114997726, "ttft_ms": 498, "tokens_in": 6258, "tokens_out": 288, "cached_tokens": 32, "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "gates": { "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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", "3.6", "27", "4:12", "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, "id": "on-09", "kind": "on-page" }, { "slug": "two-hours-on-battery", "q": "what speed did the mini pc hold on battery, and for how long?", "ok": true, "answer": "The mini pc held a speed of ~12 tokens/second for about two hours on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. Specifically, the four answers completed on battery averaged 11.87 tok/s § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The article notes that 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 for about two hours on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. Specifically, the four answers completed on battery averaged 11.87 tok/s § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The article notes that the GPU-server half of the test remains unmeasured by design § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.83140582498163, "ttft_ms": 1049, "tokens_in": 10851, "tokens_out": 136, "cached_tokens": 32, "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "gates": { "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "12", "11.87" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 landed at a kill-recall of 11/12 and a preservation of 8/9 § {#what-the-battery-was-for-the-instrument-travels}. This result was considered tied to the previous 96 GB run because the preservation delta of one item is within the pre-registered two-item tie band § {#what-the-battery-was-for-the-instrument-travels}. Note that while the kill-recall count was identical, the specific missed item 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 landed at a kill-recall of 11/12 and a preservation of 8/9 § {#what-the-battery-was-for-the-instrument-travels}. This result was considered tied to the previous 96 GB run because the preservation delta of one item is within the pre-registered two-item tie band § {#what-the-battery-was-for-the-instrument-travels}. Note that while the kill-recall count was identical, the specific missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.893158484017476, "ttft_ms": 1118, "tokens_in": 8384, "tokens_out": 158, "cached_tokens": 32, "cites": [ "what-the-battery-was-for-the-instrument-travels" ], "gates": { "cites": [ "what-the-battery-was-for-the-instrument-travels" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.6", "27", "11/12", "8/9", "96" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-11", "kind": "on-page" }, { "slug": "nine-worlds-one-dog", "q": "what stays the same across the nine paintings?", "ok": true, "answer": "The same dog, curl, and tucked paws remain constant across all nine paintings § {#for-the-technically-curious}. The dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. The article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "The same dog, curl, and tucked paws remain constant across all nine paintings § {#for-the-technically-curious}. The dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. The article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.933307273022365, "ttft_ms": 328, "tokens_in": 1914, "tokens_out": 83, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 to 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}. This cost was measured at concurrency 16 where throughput moved from 94.6 to 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. The article notes that it did not measure the cost for a long-context or prefill-heavy workload § {#what-this-page-does-not-say}.", "served": "On the dense arm, the 600 to 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}. This cost was measured at concurrency 16 where throughput moved from 94.6 to 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. The article notes that it did not measure the cost for a long-context or prefill-heavy workload § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.659365726984106, "ttft_ms": 1399, "tokens_in": 7061, "tokens_out": 138, "cached_tokens": 32, "cites": [ "the-answer-in-one-paragraph", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-answer-in-one-paragraph", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-13", "kind": "on-page" }, { "slug": "how-the-beat-lab-works", "q": "where is the sound made, and how long does a typical wish take?", "ok": true, "answer": "Every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not provide a measurement for how long the sound takes to be made, only that it is built from raw waveforms the instant it plays § {#the-sound-is-made-on-your-device}.", "served": "Every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not provide a measurement for how long the sound takes to be made, only that it is built from raw waveforms the instant it plays § {#the-sound-is-made-on-your-device}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.294193122012075, "ttft_ms": 2903, "tokens_in": 31311, "tokens_out": 104, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was also streaming tokens, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not instrument how much live traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist was also streaming tokens, the developer took 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not instrument how much live traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.9864634670084342, "ttft_ms": 347, "tokens_in": 5388, "tokens_out": 88, "cached_tokens": 32, "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "gates": { "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 game's sketch artist, FLUX.2 klein-4B, § {#the-table-that-answers-the-question}. This speed comparison is based on the median seconds per render across all of the model's timed renders, § {#the-table-that-answers-the-question}. The article notes that it did not test 8–12 GB cards, § {#three-findings-we-didnt-order} and it did not include model load times in its timing, § {#the-shape-of-the-run}.", "served": "The 96 GB card was 3.4× faster than the RTX 3090 when running the game's sketch artist, FLUX.2 klein-4B, § {#the-table-that-answers-the-question}. This speed comparison is based on the median seconds per render across all of the model's timed renders, § {#the-table-that-answers-the-question}. The article notes that it did not test 8–12 GB cards, § {#three-findings-we-didnt-order} and it did not include model load times in its timing, § {#the-shape-of-the-run}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.4432958060060628, "ttft_ms": 331, "tokens_in": 4451, "tokens_out": 142, "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": [ "the-shape-of-the-run" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-shape-of-the-run" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-shape-of-the-run" ] }, "figures": [ "96", "3.4", "3090", "2", "4", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-16", "kind": "on-page" }, { "slug": "how-a-vision-model-sees", "q": "how many tokens does an 896 px picture become, and how long does its prefill take?", "ok": true, "answer": "An 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. The article does not mention any other specific token counts or prefill times for this resolution § {#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}. The article does not mention any other specific token counts or prefill times for this resolution § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.1765853939868975, "ttft_ms": 1017, "tokens_in": 10017, "tokens_out": 101, "cached_tokens": 32, "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "gates": { "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "896", "199", "184" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "The distilled painter is the sharpest and fastest cell in the whole second run, recorded at 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, causing it to paint a legible cursive signature on two of the six subjects § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "served": "The distilled painter is the sharpest and fastest cell in the whole second run, recorded at 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, causing it to paint a legible cursive signature on two of the six subjects § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.177995425008703, "ttft_ms": 388, "tokens_in": 5216, "tokens_out": 114, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "id": "on-18", "kind": "on-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "The world is written in a single YAML file that contains 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}. The article does not specify the file's size in bytes, though it notes that two copies are byte-identical § {#the-world-is-a-file}.", "served": "The world is written in a single YAML file that contains 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}. The article does not specify the file's size in bytes, though it notes that two copies are byte-identical § {#the-world-is-a-file}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.9549327490094583, "ttft_ms": 862, "tokens_in": 5898, "tokens_out": 100, "cached_tokens": 32, "cites": [ "the-world-is-a-file" ], "gates": { "cites": [ "the-world-is-a-file" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16,705" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 existing in archives, such as co-evolution fingerprints or structure-activity patterns in molecular libraries § {#the-first-engine-the-archive-nobody-had-read} § {#two-kinds-of-there-all-along}. The second engine involves a rule that captures a generating rule to emit entries no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply} § {#two-kinds-of-there-all-along}. Structural biologists noted that these engines left out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "served": "The two engines named are present in the data, unmined, and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. The first engine involves reading patterns already existing in archives, such as co-evolution fingerprints or structure-activity patterns in molecular libraries § {#the-first-engine-the-archive-nobody-had-read} § {#two-kinds-of-there-all-along}. The second engine involves a rule that captures a generating rule to emit entries no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply} § {#two-kinds-of-there-all-along}. Structural biologists noted that these engines left out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.321573069988517, "ttft_ms": 353, "tokens_in": 5245, "tokens_out": 187, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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": "The article states that the weights of a language model are the compression, acting as a codebook for the corpus it was trained on § {#the-punchline}. It points to the Hutter Prize, which is a competition where frontier models cannot enter because it charges for every decompressor byte and requires the compressor to be trained from scratch on the file it compresses § {#what-we-can-show-you}. The text notes that the model's own bits, or weights, sit on a separate ledger line and are not charged for in the next-token training loss § {#the-punchline}.", "served": "The article states that the weights of a language model are the compression, acting as a codebook for the corpus it was trained on § {#the-punchline}. It points to the Hutter Prize, which is a competition where frontier models cannot enter because it charges for every decompressor byte and requires the compressor to be trained from scratch on the file it compresses § {#what-we-can-show-you}. The text notes that the model's own bits, or weights, sit on a separate ledger line and are not charged for in the next-token training loss § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9590504840016365, "ttft_ms": 413, "tokens_in": 5255, "tokens_out": 125, "cached_tokens": 32, "cites": [ "the-punchline", "what-we-can-show-you" ], "gates": { "cites": [ "the-punchline", "what-we-can-show-you" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "id": "on-21", "kind": "on-page" }, { "slug": "the-free-speed-wasnt-free", "q": "what was the production median before the change, and what caused the speed-up?", "ok": true, "answer": "The production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage from the sampler pipeline § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "The production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage from the sampler pipeline § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9854786259820685, "ttft_ms": 584, "tokens_in": 7248, "tokens_out": 125, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "138.6", "1,982", "2026-08-15", "1.1", "1.0" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-22", "kind": "on-page" }, { "slug": "the-compressed-photograph", "q": "how much slower was the uncompressed original than the compressed build?", "ok": true, "answer": "The uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. The uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. The article does not measure perplexity § {#what-this-page-does-not-say}.", "served": "The uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. The uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. The article does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.6011103390192147, "ttft_ms": 1127, "tokens_in": 8230, "tokens_out": 109, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.4", "4", "58.1", "4", "134.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are the payroll, which represents the parameters hired, trained, and taking up space, and the meeting, which represents the parameters that actually show up for any given token § {#the-tag-with-two-numbers}. The article notes that the vision tower was excluded from the active-path arithmetic for the live seat § {#the-arithmetic-that-catches-a-mixture-red-handed}.", "served": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are the payroll, which represents the parameters hired, trained, and taking up space, and the meeting, which represents the parameters that actually show up for any given token § {#the-tag-with-two-numbers}. The article notes that the vision tower was excluded from the active-path arithmetic for the live seat § {#the-arithmetic-that-catches-a-mixture-red-handed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.8972804170043673, "ttft_ms": 1081, "tokens_in": 7429, "tokens_out": 125, "cached_tokens": 32, "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-arithmetic-that-catches-a-mixture-red-handed" ], "gates": { "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-arithmetic-that-catches-a-mixture-red-handed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 every token in the prompt at the same time since the text already exists § {#reading-is-a-group-photo}. In contrast, writing is serial because the model must choose tokens one at a time as the future of the sentence does not yet exist § {#writing-is-one-at-a-time}. The article notes that it does not say the ratio is a constant § {#what-this-page-does-not-say}.", "served": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is parallel, as the model can process every token in the prompt at the same time since the text already exists § {#reading-is-a-group-photo}. In contrast, writing is serial because the model must choose tokens one at a time as the future of the sentence does not yet exist § {#writing-is-one-at-a-time}. The article notes that it does not say the ratio is a constant § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.0478496860014275, "ttft_ms": 1125, "tokens_in": 5287, "tokens_out": 135, "cached_tokens": 32, "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-25", "kind": "on-page" }, { "slug": "three-librarians", "q": "how many dimensions does the embedder's map have, and what does the third librarian do?", "ok": true, "answer": "The embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. The third librarian works only within the aisle of the specific game being asked about, picking up the edition's rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not state what was left out, moved, or not measured regarding the librarian's specific actions § {#the-third-librarian-never-left-your-aisle}.", "served": "The embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. The third librarian works only within the aisle of the specific game being asked about, picking up the edition's rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not state what was left out, moved, or not measured regarding the librarian's specific actions § {#the-third-librarian-never-left-your-aisle}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.933039010997163, "ttft_ms": 369, "tokens_in": 5668, "tokens_out": 121, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "id": "on-26", "kind": "on-page" }, { "slug": "the-new-kid", "q": "which seat did the new model pass, and which floor did it miss?", "ok": true, "answer": "The qwen3.8:27b model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} but failed the judge seat § {#the-judge-seat-and-the-floor-it-missed} by achieving preservation 11 of 16 against a floor of 13. The article notes that no baseline was scored for the classifier seat and that the judge seat's results are not independently checkable because they are lane data § {#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 § {#the-classifier-seat-five-gates-all-pass-faster} but failed the judge seat § {#the-judge-seat-and-the-floor-it-missed} by achieving preservation 11 of 16 against a floor of 13. The article notes that no baseline was scored for the classifier seat and that the judge seat's results are not independently checkable because they are lane data § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 9.415555596991908, "ttft_ms": 914, "tokens_in": 14838, "tokens_out": 143, "cached_tokens": 32, "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "gates": { "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.8", "27", "11", "16", "13" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 requested the llms.txt file during the initial thirty-day period, though the article notes that twenty-six AI-crawler requests arrived in the thirty-four hours after that count closed § {#measured-again-after-publication}. The largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article does not provide a measurement for the total number of tokens in that file, offering only an estimate of eight million tokens at four bytes each § {#where-the-file-came-from}.", "served": "No AI crawler requested the llms.txt file during the initial thirty-day period, though the article notes that twenty-six AI-crawler requests arrived in the thirty-four hours after that count closed § {#measured-again-after-publication}. The largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article does not provide a measurement for the total number of tokens in that file, offering only an estimate of eight million tokens at four bytes each § {#where-the-file-came-from}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.983505037991563, "ttft_ms": 1273, "tokens_in": 12269, "tokens_out": 121, "cached_tokens": 32, "cites": [ "measured-again-after-publication", "where-the-file-came-from" ], "gates": { "cites": [ "measured-again-after-publication", "where-the-file-came-from" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 models were handed the frozen bytes § {#five-things-before-any-figure}. 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 models were handed the frozen bytes § {#five-things-before-any-figure}. 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}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.770783228013897, "ttft_ms": 7153, "tokens_in": 63357, "tokens_out": 104, "cached_tokens": 32, "cites": [ "five-things-before-any-figure", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "gates": { "cites": [ "five-things-before-any-figure", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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, which is maintained by a sweep that runs every night § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, the rules were set to keep lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "served": "Every notebook on the server now keeps thirty days of entries § {#the-first-promise-your-visit-stays-between-us}. This rule applies to all notebooks, including the tour guide's, which is maintained by a sweep that runs every night § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, the rules were set to keep lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.436972866009455, "ttft_ms": 1417, "tokens_in": 4542, "tokens_out": 109, "cached_tokens": 32, "cites": [ "the-first-promise-your-visit-stays-between-us" ], "gates": { "cites": [ "the-first-promise-your-visit-stays-between-us" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-30", "kind": "on-page" }, { "slug": "how-we-work", "q": "what does the page say about the humans and agents who make each exhibit?", "ok": true, "answer": "The human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator provides the initial spark of noticing, negotiates the roster, reviews and signs off on hardened plans, and holds the final authority for release § {#the-thorough-walk}. The human makes the work true by deciding what is worth testing and what the numbers mean, while agents make the work bigger by testing more models and verifying more claims § {#the-thorough-walk}. The article notes that the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "served": "The human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator provides the initial spark of noticing, negotiates the roster, reviews and signs off on hardened plans, and holds the final authority for release § {#the-thorough-walk}. The human makes the work true by deciding what is worth testing and what the numbers mean, while agents make the work bigger by testing more models and verifying more claims § {#the-thorough-walk}. The article notes that the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 11.076476888993056, "ttft_ms": 6041, "tokens_in": 4982, "tokens_out": 151, "cached_tokens": 32, "cites": [ "the-plain-english-version", "the-thorough-walk" ], "gates": { "cites": [ "the-plain-english-version", "the-thorough-walk" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-31", "kind": "on-page" }, { "slug": "the-move", "q": "what did the median search time go from and to after the move?", "ok": true, "answer": "The median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#receipts}. This comparison is considered the cleanest because it is the leg the move actually touched and cannot be confounded by model changes § {#receipts}. The article notes that the move put the database, search index, and reranker on a server-class VPS, but generation stayed on the original GPU box § {#what-moved}.", "served": "The median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#receipts}. This comparison is considered the cleanest because it is the leg the move actually touched and cannot be confounded by model changes § {#receipts}. The article notes that the move put the database, search index, and reranker on a server-class VPS, but generation stayed on the original GPU box § {#what-moved}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.806381214002613, "ttft_ms": 387, "tokens_in": 5978, "tokens_out": 96, "cached_tokens": 32, "cites": [ "receipts", "what-moved" ], "gates": { "cites": [ "receipts", "what-moved" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "242", "77.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 chairs, with only five of the eleven arms sitting all five chairs § {#roster}. The box did not stop serving, as the serving probes showed the app was served for all twenty-six registered asks § {#serving-probes}. The article notes that no on-disk blob size was measured and that the residency figure for gemma4:12b was read as found rather than under bench control § {#roster}.", "served": "Nine models and eleven arms sat the five chairs, with only five of the eleven arms sitting all five chairs § {#roster}. The box did not stop serving, as the serving probes showed the app was served for all twenty-six registered asks § {#serving-probes}. The article notes that no on-disk blob size was measured and that the residency figure for gemma4:12b was read as found rather than under bench control § {#roster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.919268388999626, "ttft_ms": 2259, "tokens_in": 29973, "tokens_out": 96, "cached_tokens": 32, "cites": [ "roster", "serving-probes" ], "gates": { "cites": [ "roster", "serving-probes" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4:12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-33", "kind": "on-page" }, { "slug": "cove-voice-head-to-head", "q": "what happened to the August class's best voice at the cove's gate?", "ok": true, "answer": "The article does not state what happened to the August class's best voice at the cove's gate § {#floor-1-canon}. The text only notes that the panel's warmest voice from the August arrivals was a model that invented names for the drowned diver twice § {#floor-1-canon}.", "served": "This page doesn't say. The nearest it gets is § {#floor-1-canon}. The August arrivals — the fresh class sits the house exams. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "floor-1-canon", "seconds": 4.218912147014635, "ttft_ms": 2498, "tokens_in": 16345, "tokens_out": 64, "cached_tokens": 32, "cites": [ "floor-1-canon" ], "gates": { "cites": [ "floor-1-canon" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 labs re-judged the sealed rounds § {#vendors}. The widest cross-vendor gap on any arm was 0.178 § {#vendors}. The article notes that the cloud judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "served": "Four rival labs re-judged the sealed rounds § {#vendors}. The widest cross-vendor gap on any arm was 0.178 § {#vendors}. The article notes that the cloud judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.039646278019063, "ttft_ms": 2775, "tokens_in": 10005, "tokens_out": 60, "cached_tokens": 32, "cites": [ "vendors", "boundary" ], "gates": { "cites": [ "vendors", "boundary" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.178" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 fresh models arrived that week, and all four broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. Specifically, the failure rates for the cohort were 16.3%, 51.2%, 55.8%, and 62.8% § {#exam-one-the-judge-chair}. The article notes that OLMo 3.1 32B Think was on the residency census but never ran the voice probe § {#exam-two-the-narrators-chair}.", "served": "Four fresh models arrived that week, and all four broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. Specifically, the failure rates for the cohort were 16.3%, 51.2%, 55.8%, and 62.8% § {#exam-one-the-judge-chair}. The article notes that OLMo 3.1 32B Think was on the residency census but never ran the voice probe § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 6.362509547994705, "ttft_ms": 3085, "tokens_in": 10936, "tokens_out": 121, "cached_tokens": 32, "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "gates": { "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "10", "16.3", "51.2", "55.8", "62.8", "3.1", "32" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-36", "kind": "on-page" }, { "slug": "seat-trials", "q": "what are the kill-recall and preservation floors a model must clear?", "ok": false, "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 thresholds are part of a trial consisting of 43 claim-cases drawn from a 113-row human-verified answer key § {#the-instrument}. The article notes that one further candidate was blocked at the billing probe and never ran § {#the-instrument}.", "served": "This page doesn't say. The nearest it gets is § {#what-to-take-with-you}. The Instrument Travels covers it more directly.", "abstained": true, "abstain_source": "gate", "abstain_section": "what-to-take-with-you", "seconds": 3.2112495139881503, "ttft_ms": 421, "tokens_in": 6987, "tokens_out": 97, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": true }, "gate_detail": { "reasons": [ "directive: self-stamp-01" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "23/27", "13/16", "43", "113" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-37", "kind": "on-page" }, { "slug": "voice-trials", "q": "how many model tags were tried, and what does the anchor model read?", "ok": true, "answer": "The article states that 24 distinct model tags were tried across 40 scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets, remaining unchanged across them § {#the-method-limits-first}. As a note, the article mentions that no delta across record sets is ever published and 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 24 distinct model tags were tried across 40 scored runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets, remaining unchanged across them § {#the-method-limits-first}. As a note, the article mentions that no delta across record sets is ever published and that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.20671421897714, "ttft_ms": 620, "tokens_in": 10109, "tokens_out": 136, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 licence in full rather than skimming for a name § {#how-to-read-this-page}. For the brains section, the method involves using ollama show --license to read the file packaged with the weights themselves § {#the-brains-chat-vision-memory-all-read-2026-08-11}. The diffusion models are read via the creator's permission flags from civitai.com/api/v1/models/ and the licence files at their source repositories § {#the-painters-diffusion-read-2026-08-11-except-where-a-row-says-otherwise}. The article notes that some models are unread, quarantined, or withheld § {#provenance-063a00}.", "served": "The page states that it reads each licence in full rather than skimming for a name § {#how-to-read-this-page}. For the brains section, the method involves using ollama show --license to read the file packaged with the weights themselves § {#the-brains-chat-vision-memory-all-read-2026-08-11}. The diffusion models are read via the creator's permission flags from civitai.com/api/v1/models/ and the licence files at their source repositories § {#the-painters-diffusion-read-2026-08-11-except-where-a-row-says-otherwise}. The article notes that some models are unread, quarantined, or withheld § {#provenance-063a00}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 15.101703474007081, "ttft_ms": 1108, "tokens_in": 8383, "tokens_out": 178, "cached_tokens": 32, "cites": [ "how-to-read-this-page", "the-brains-chat-vision-memory-all-read-2026-08-11", "provenance-063a00" ], "gates": { "cites": [ "how-to-read-this-page", "the-brains-chat-vision-memory-all-read-2026-08-11", "provenance-063a00" ], "cites_dropped": [ "the-painters-diffusion-read-2026-08-11-except-where-a-row-says-otherwise" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-painters-diffusion-read-2026-08-11-except-where-a-row-says-otherwise" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-painters-diffusion-read-2026-08-11-except-where-a-row-says-otherwise" ] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "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 § {#three-sets-of-bytes-and-which-one-the-player-fetches}, while the sitting consisted of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations were comprised of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the twenty-four half-strength renders were never put in front of anyone § {#the-blind-sheet-unsealed}.", "served": "The page carries eighty-four clips § {#three-sets-of-bytes-and-which-one-the-player-fetches}, while the sitting consisted of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations were comprised of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the twenty-four half-strength renders were never put in front of anyone § {#the-blind-sheet-unsealed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.443415181012824, "ttft_ms": 1887, "tokens_in": 18661, "tokens_out": 107, "cached_tokens": 32, "cites": [ "three-sets-of-bytes-and-which-one-the-player-fetches", "the-blind-sheet-unsealed" ], "gates": { "cites": [ "three-sets-of-bytes-and-which-one-the-player-fetches", "the-blind-sheet-unsealed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-40", "kind": "on-page" }, { "slug": "the-ceiling-is-not-the-corpus", "q": "how did the adapter score against the base model in the listening, and on how many house prompts did it win?", "ok": true, "answer": "The adapter did not clear the listening test, as no large effect was detected in its favour and the lean toward the untouched model was not itself established § {#the-blind-sitting}. On the four requests that asked for house, the listener expressed a preference for the untouched model all five times § {#what-the-adapter-actually-did}. The article does not mention how many house prompts the adapter won, though it notes that the listener expressed a preference five times on those requests § {#what-the-adapter-actually-did}.", "served": "The adapter did not clear the listening test, as no large effect was detected in its favour and the lean toward the untouched model was not itself established § {#the-blind-sitting}. On the four requests that asked for house, the listener expressed a preference for the untouched model all five times § {#what-the-adapter-actually-did}. The article does not mention how many house prompts the adapter won, though it notes that the listener expressed a preference five times on those requests § {#what-the-adapter-actually-did}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.710755779000465, "ttft_ms": 1759, "tokens_in": 8749, "tokens_out": 110, "cached_tokens": 32, "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "gates": { "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-41", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what does a large cloud provider charge for the same work?", "ok": true, "answer": "The article does not answer 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}. Two Hours at 12 tok/s — On Battery covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 0.9208603150036652, "ttft_ms": 450, "tokens_in": 7051, "tokens_out": 30, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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}. The open call — a kid, an elder, and a tired parent walk into the cove. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-plain-english-version", "seconds": 0.7743140130187385, "ttft_ms": 536, "tokens_in": 4979, "tokens_out": 22, "cached_tokens": 32, "cites": [ "the-plain-english-version" ], "gates": { "cites": [ "the-plain-english-version" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 answer how many people subscribe to this site's feed, though it discusses request counts for files in § {#does-anyone-fetch-it}.", "served": "This page doesn't say. The nearest it gets is § {#does-anyone-fetch-it}. Where your question goes — a plain-english walk. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "does-anyone-fetch-it", "seconds": 11.132588457025122, "ttft_ms": 774, "tokens_in": 12254, "tokens_out": 35, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it" ], "gates": { "cites": [ "does-anyone-fetch-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "off-03", "kind": "off-page" }, { "slug": "three-new-voices-at-the-narrators-chair", "q": "what will the next article on this site be about?", "ok": true, "answer": "The article does not state what the next article on the site will be about, though it mentions that the current page is part of a series of exhibits including exhibit eleven § {#come-down-into-the-cove} and exhibit forty § {#the-chair-and-who-sat-it-before}.", "served": "This page doesn't say. The nearest it gets is § {#come-down-into-the-cove}. The open call — a kid, an elder, and a tired parent walk into the cove. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "come-down-into-the-cove", "seconds": 12.333621505997144, "ttft_ms": 10432, "tokens_in": 82416, "tokens_out": 66, "cached_tokens": 32, "cites": [ "come-down-into-the-cove", "the-chair-and-who-sat-it-before" ], "gates": { "cites": [ "come-down-into-the-cove", "the-chair-and-who-sat-it-before" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 answer what this cost in electricity at the reader's own utility rate § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The text only provides the power draw during the test, noting ~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}. The outside judges — four rival labs re-check our work. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "two-hours-at-12-tok-s-the-test-that-named-the-page", "seconds": 16.66231515799882, "ttft_ms": 10462, "tokens_in": 10850, "tokens_out": 100, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 the question § {#the-mystery-stated-honestly}.", "served": "This page doesn't say. The nearest it gets is § {#the-mystery-stated-honestly}. The Typist and the Developer covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-mystery-stated-honestly", "seconds": 10.213215764000779, "ttft_ms": 9978, "tokens_in": 5285, "tokens_out": 19, "cached_tokens": 32, "cites": [ "the-mystery-stated-honestly" ], "gates": { "cites": [ "the-mystery-stated-honestly" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 the question about the current cost of these cards in the reader's country § {#the-moment-this-page-is-about}.", "served": "This page doesn't say. The nearest it gets is § {#the-moment-this-page-is-about}. Fifty-Seven Milliseconds: What a Diffusion Step Actually Buys covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 1.1632629050000105, "ttft_ms": 336, "tokens_in": 4441, "tokens_out": 35, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 § {#the-machine}.", "served": "This page doesn't say. The nearest it gets is § {#the-machine}. The August arrivals — the fresh class sits the house exams. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-machine", "seconds": 0.7986773890152108, "ttft_ms": 454, "tokens_in": 5976, "tokens_out": 14, "cached_tokens": 32, "cites": [ "the-machine" ], "gates": { "cites": [ "the-machine" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "id": "off-08", "kind": "off-page" }, { "slug": "fifty-seven-milliseconds", "q": "what was the weather like on the day this was measured?", "ok": true, "answer": "The article does not state what the weather was like on the day of the measurement § {#how-to-check-our-work-and-see-it-live}.", "served": "This page doesn't say. The nearest it gets is § {#how-to-check-our-work-and-see-it-live}. A Rig Your Friend Already Owns covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "how-to-check-our-work-and-see-it-live", "seconds": 1.1141988059971482, "ttft_ms": 548, "tokens_in": 5216, "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": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 state 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.", "abstained": true, "abstain_source": "model", "abstain_section": "who-ran-this-and-thanks", "seconds": 6.219051025022054, "ttft_ms": 365, "tokens_in": 2943, "tokens_out": 29, "cached_tokens": 32, "cites": [ "who-ran-this-and-thanks" ], "gates": { "cites": [ "who-ran-this-and-thanks" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": 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, "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 § {#the-rest-of-the-seminar}.", "served": "This page doesn't say. The nearest it gets is § {#the-rest-of-the-seminar}. qwen3.8:27b across four house benches: one seat filled, one floor missed covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-rest-of-the-seminar", "seconds": 7.964157815004, "ttft_ms": 647, "tokens_in": 9998, "tokens_out": 28, "cached_tokens": 32, "cites": [ "the-rest-of-the-seminar" ], "gates": { "cites": [ "the-rest-of-the-seminar" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 § {#the-typist}. Reading is fast, writing is slow — why AI answers arrive word by word covers it more directly.", "abstained": true, "abstain_source": "gate", "abstain_section": "the-typist", "seconds": 7.714442012977088, "ttft_ms": 620, "tokens_in": 5386, "tokens_out": 25, "cached_tokens": 32, "cites": [], "gates": { "cites": [], "cites_dropped": [ "the-typist-and-the-developer" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": true, "new_noun": false, "blocked": 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, "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 § {#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}. 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