{ "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": "2026-09-12T16:08:15Z", "arm": "warm", "concurrency": 6, "effective_concurrency": 2, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent" }, "packnorm_definition_recorded_not_governing": "v3", "bank": { "path": "bank.json", "counts": { "on_page": 41, "off_page": 21, "total": 62 } }, "results": { "on_page_total": 41, "on_page_answered": 41, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 3, "off_page_abstained_by_model": 18, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 2, "off_page_cited": 18, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 0.856, "p95_seconds": 1.642, "pages_warmed": 41, "cache_hits": 62, "cache_hit_of": 62 }, "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 cost $0.7652 in total, according to the bill section § {#the-bill}. The three new voices were judged by a panel of six carrying seats from seven model families, with the zhipu chair having gone dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the metered total is the only total the bill draws and that the counts in the ledger are not a ranking § {#the-bill}.", "served": "The round cost $0.7652 in total, according to the bill section § {#the-bill}. The three new voices were judged by a panel of six carrying seats from seven model families, with the zhipu chair having gone dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the metered total is the only total the bill draws and that the counts in the ledger are not a ranking § {#the-bill}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.9538642069965135, "ttft_ms": 727, "tokens_in": 82422, "tokens_out": 110, "cached_tokens": 82368, "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": "three-new-voices-at-the-narrators-chair", "q": "what will the next article on this site be about?", "ok": false, "answer": "The article does not state what the next article on the site will be about § {#the-exam}.", "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": "gate", "abstain_section": "come-down-into-the-cove", "seconds": 1.1758961820160039, "ttft_ms": 664, "tokens_in": 82416, "tokens_out": 22, "cached_tokens": 82176, "cites": [], "gates": { "cites": [], "cites_dropped": [ "the-exam" ], "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-exam", "cite: no valid cite" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-exam" ] }, "figures": [], "figures_verbatim": true, "cites_valid": false, "redaction_hits": 0, "id": "off-04", "kind": "off-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. The pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over those 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 those 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": 1.3225383899989538, "ttft_ms": 432, "tokens_in": 26563, "tokens_out": 123, "cached_tokens": 26304, "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 for what was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any figures for what was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5884895179769956, "ttft_ms": 243, "tokens_in": 2944, "tokens_out": 63, "cached_tokens": 2688, "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": "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.", "abstained": true, "abstain_source": "model", "abstain_section": "who-ran-this-and-thanks", "seconds": 0.42994749700301327, "ttft_ms": 246, "tokens_in": 2943, "tokens_out": 29, "cached_tokens": 2912, "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": "the-beat-lab-asked-and-answered", "q": "how many answers does the page carry, and does any model run to make it?", "ok": true, "answer": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#where-these-answers-come-from}. No model ran to derive the page, as the answers were drafted by AI agents and approved by humans § {#who-ran-this-and-thanks}. Note that nothing you type leaves the page when asking a question about the lab § {#the-beat-lab}.", "served": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#where-these-answers-come-from}. No model ran to derive the page, as the answers were drafted by AI agents and approved by humans § {#who-ran-this-and-thanks}. Note that nothing you type leaves the page when asking a question about the lab § {#the-beat-lab}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6813089520146605, "ttft_ms": 230, "tokens_in": 4460, "tokens_out": 86, "cached_tokens": 4224, "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": [ "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's verdict was that the model is a weak instrument, noting that most samples were not pieces of music they would ever listen to for pleasure § {#twelve-requests-four-ways}. The article notes that 41 tracks were held back for a test not yet run and that the listener's preference for the control was only a slight lean on one request and a loss on another § {#one-artist-instead-of-a-tag}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener's verdict was that the model is a weak instrument, noting that most samples were not pieces of music they would ever listen to for pleasure § {#twelve-requests-four-ways}. The article notes that 41 tracks were held back for a test not yet run and that the listener's preference for the control was only a slight lean on one request and a loss on another § {#one-artist-instead-of-a-tag}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0611409569974057, "ttft_ms": 324, "tokens_in": 12901, "tokens_out": 124, "cached_tokens": 12640, "cites": [ "a-genre-not-a-composer", "twelve-requests-four-ways", "one-artist-instead-of-a-tag" ], "gates": { "cites": [ "a-genre-not-a-composer", "twelve-requests-four-ways", "one-artist-instead-of-a-tag" ], "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", "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 § {#how-to-listen}. The mastered copies are the renders with one constant gain applied and nothing else, where the gain is 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}. As a note, the article mentions that one render from round four is a byte-identical repeat of its own first untouched render and was kept in the records but not played here § {#how-to-check-these-clips}.", "served": "There are sixty-three players on the page § {#how-to-listen}. The mastered copies are the renders with one constant gain applied and nothing else, where the gain is 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}. As a note, the article mentions that one render from round four is a byte-identical repeat of its own first untouched render and was kept in the records but not played here § {#how-to-check-these-clips}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.4230194319970906, "ttft_ms": 326, "tokens_in": 14171, "tokens_out": 176, "cached_tokens": 13920, "cites": [ "how-to-listen", "how-to-check-these-clips" ], "gates": { "cites": [ "how-to-listen", "how-to-check-these-clips" ], "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", "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}. These times were recorded by the trainer's own clock § {#the-bill}. The article notes that it did not measure whether any merge sounds like a blend of its parents § {#what-we-did-not-measure}.", "served": "The Sousa adapter took 14 minutes 36 seconds to train § {#sousa-a-hundred-and-six-marches}, while the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. These times were recorded by the trainer's own clock § {#the-bill}. The article notes that it did not measure whether any merge sounds like a blend of its parents § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8470056089863647, "ttft_ms": 248, "tokens_in": 5425, "tokens_out": 111, "cached_tokens": 5184, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill", "what-we-did-not-measure" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "the-bill", "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": [ "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 § {#five-minutes-of-training-honestly-accounted}. The training took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article does not state whether a smaller GPU could have run this training § {#what-we-did-not-measure}.", "served": "Nineteen recordings were used for training § {#five-minutes-of-training-honestly-accounted}. The training took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article does not state whether a smaller GPU could have run this training § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6696324580116197, "ttft_ms": 229, "tokens_in": 3575, "tokens_out": 83, "cached_tokens": 3328, "cites": [ "five-minutes-of-training-honestly-accounted", "what-we-did-not-measure" ], "gates": { "cites": [ "five-minutes-of-training-honestly-accounted", "what-we-did-not-measure" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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 scored 14/19 [51.2%, 88.2%] at `think:false` and 15/19 [56.7%, 91.5%] at `think:true` for the `gemma4:26b` seat, while `qwen3.6:27b` and `gemma4:12b` both landed on the arm's exact count of 16/19 § {#sixteen-of-nineteen} § {#two-local-models-sixteen-days-earlier}. Four instruments could not be honestly read on the cloud path, three more never applied to a model that cannot hold a seat, and two were excluded because the cloud path does not enforce the `format` parameter § {#the-ledger-of-what-did-not-read} § {#three-checks-bracket-the-run}.", "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 scored 14/19 [51.2%, 88.2%] at `think:false` and 15/19 [56.7%, 91.5%] at `think:true` for the `gemma4:26b` seat, while `qwen3.6:27b` and `gemma4:12b` both landed on the arm's exact count of 16/19 § {#sixteen-of-nineteen} § {#two-local-models-sixteen-days-earlier}. Four instruments could not be honestly read on the cloud path, three more never applied to a model that cannot hold a seat, and two were excluded because the cloud path does not enforce the `format` parameter § {#the-ledger-of-what-did-not-read} § {#three-checks-bracket-the-run}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6801999040180817, "ttft_ms": 247, "tokens_in": 6258, "tokens_out": 259, "cached_tokens": 6016, "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read", "three-checks-bracket-the-run" ], "gates": { "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read", "three-checks-bracket-the-run" ], "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", "14/19", "51.2", "88.2", "15/19", "56.7", "91.5", "4:26", "3.6", "27", "4:12", "16/19" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-09", "kind": "on-page" }, { "slug": "the-same-sixteen", "q": "which of these models is the best one to use for my own project?", "ok": true, "answer": "The article does not answer which model is best to use for a project § {#a-different-kind-of-row}.", "served": "This page doesn't say. The nearest it gets is § {#a-different-kind-of-row}. How a Vision Model Sees: Eyes for a Machine That Reads covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "a-different-kind-of-row", "seconds": 0.4374587800120935, "ttft_ms": 254, "tokens_in": 6250, "tokens_out": 27, "cached_tokens": 6208, "cites": [ "a-different-kind-of-row" ], "gates": { "cites": [ "a-different-kind-of-row" ], "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-20", "kind": "off-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 stays 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 stays unmeasured by design § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2754064749751706, "ttft_ms": 343, "tokens_in": 10851, "tokens_out": 136, "cached_tokens": 10592, "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": "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's rate § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. It only notes that the whole-box wall draw was ~76 W generating on mains and ~78 W generating on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. The text also mentions that it did not measure non-Q4 quantizations on CPU, sustained thermals past each arm's window, or fully-cold-disk loads § {#what-we-did-not-measure}.", "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": 1.3404752970091067, "ttft_ms": 354, "tokens_in": 10850, "tokens_out": 148, "cached_tokens": 10816, "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page", "what-we-did-not-measure" ], "gates": { "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page", "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": [ "76", "78", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-05", "kind": "off-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 with its previous 96 GB run because the preservation delta of one item is under the pre-registered two-item tie band § {#what-the-battery-was-for-the-instrument-travels}. The article notes that the 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 with its previous 96 GB run because the preservation delta of one item is under the pre-registered two-item tie band § {#what-the-battery-was-for-the-instrument-travels}. The article notes that the 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": 1.110818624991225, "ttft_ms": 262, "tokens_in": 8384, "tokens_out": 150, "cached_tokens": 8128, "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, same curl, and same 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 state what was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "The same dog, same curl, and same 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 state what was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6238165109825786, "ttft_ms": 185, "tokens_in": 1914, "tokens_out": 84, "cached_tokens": 1664, "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": "nine-worlds-one-dog", "q": "how many other readers have asked this same question?", "ok": true, "answer": "The article does not answer how many other readers have asked this same question § {#for-the-technically-curious}.", "served": "This page doesn't say. The nearest it gets is § {#for-the-technically-curious}.", "abstained": true, "abstain_source": "model", "abstain_section": "for-the-technically-curious", "seconds": 0.3459248009894509, "ttft_ms": 188, "tokens_in": 1915, "tokens_out": 27, "cached_tokens": 1888, "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": "off-17", "kind": "off-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}. At concurrency 16, the throughput moved from 94.6 to 92.7 tok/s per stream while the busy-window draw went from 586.5 to 448.4 W § {#the-answer-in-one-paragraph}. The article notes that it does not cover the cost of a long-context or prefill-heavy workload, which could move the 2% result § {#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}. At concurrency 16, the throughput moved from 94.6 to 92.7 tok/s per stream while the busy-window draw went from 586.5 to 448.4 W § {#the-answer-in-one-paragraph}. The article notes that it does not cover the cost of a long-context or prefill-heavy workload, which could move the 2% result § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2138610940019134, "ttft_ms": 269, "tokens_in": 7061, "tokens_out": 166, "cached_tokens": 6816, "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", "586.5", "448.4", "2" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-13", "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": 0.4785635430016555, "ttft_ms": 277, "tokens_in": 7051, "tokens_out": 30, "cached_tokens": 7008, "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-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 what was left out, moved, or not measured in relation to these specific details.", "served": "Every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not mention what was left out, moved, or not measured in relation to these specific details.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2212440299917944, "ttft_ms": 523, "tokens_in": 31311, "tokens_out": 81, "cached_tokens": 31072, "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": "how-the-beat-lab-works", "q": "what phone number reaches support?", "ok": true, "answer": "The article does not provide a phone number to reach support § {#what-it-is}.", "served": "This page doesn't say. The nearest it gets is § {#what-it-is}. The Beat Lab, asked and answered covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "what-it-is", "seconds": 0.8075745660171378, "ttft_ms": 540, "tokens_in": 31302, "tokens_out": 20, "cached_tokens": 31264, "cites": [ "what-it-is" ], "gates": { "cites": [ "what-it-is" ], "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-18", "kind": "off-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 is streaming tokens at the same time, the developer takes 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not instrument how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "The developer developed a picture in 1.54 seconds § {#the-developer}. When the typist is streaming tokens at the same time, the developer takes 1.82 seconds per sketch § {#one-card-both-jobs-at-once}. The article notes that it did not instrument how much traffic was present during the run § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7680575719859917, "ttft_ms": 259, "tokens_in": 5388, "tokens_out": 90, "cached_tokens": 5152, "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": "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": 0.42636310699163005, "ttft_ms": 264, "tokens_in": 5386, "tokens_out": 25, "cached_tokens": 5344, "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": "a-rig-your-friend-already-owns", "q": "how much faster was the workstation card than the 3090 on the game's own art?", "ok": true, "answer": "The article does not provide a single speed comparison for the game's own art, though it notes the 96 GB card is about 3.4× the 3090 for the FLUX.2 klein-4B sketch artist § {#the-table-that-answers-the-question}. For the sketch artist at the 512×512 live default size, the 96 GB card's median is 0.26 s compared to the 3090's 0.88 s § {#the-sketch-ladder-the-number-the-game-lives-on}. The article notes that 8–12 GB cards were not tested § {#three-findings-we-didnt-order}.", "served": "This page doesn't say. The nearest it gets is § {#the-table-that-answers-the-question}. Fifty-Seven Milliseconds: What a Diffusion Step Actually Buys covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-table-that-answers-the-question", "seconds": 1.1306129489967134, "ttft_ms": 252, "tokens_in": 4451, "tokens_out": 163, "cached_tokens": 4192, "cites": [ "the-table-that-answers-the-question", "the-sketch-ladder-the-number-the-game-lives-on", "three-findings-we-didnt-order" ], "gates": { "cites": [ "the-table-that-answers-the-question", "the-sketch-ladder-the-number-the-game-lives-on", "three-findings-we-didnt-order" ], "cites_dropped": [], "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": [ "96", "3.4", "3090", "2", "4", "512", "512", "96", "0.26", "3090", "0.88", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-16", "kind": "on-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}. 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": 0.4611196060141083, "ttft_ms": 257, "tokens_in": 4441, "tokens_out": 33, "cached_tokens": 4416, "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": "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 what was left out, moved, or not measured in relation to this specific figure.", "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 what was left out, moved, or not measured in relation to this specific figure.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7669492150016595, "ttft_ms": 313, "tokens_in": 10017, "tokens_out": 76, "cached_tokens": 9760, "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, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "served": "The distilled painter is the sharpest and fastest cell in the whole second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7922569249931257, "ttft_ms": 261, "tokens_in": 5216, "tokens_out": 93, "cached_tokens": 4960, "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it", "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it", "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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": "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": 0.4999461139959749, "ttft_ms": 266, "tokens_in": 5216, "tokens_out": 37, "cached_tokens": 5184, "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": "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}. 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 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}. 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": 0.7893408759846352, "ttft_ms": 253, "tokens_in": 5898, "tokens_out": 99, "cached_tokens": 5664, "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 a reader wide enough to hold an existing archive all at once, while the second involves a rule captured well enough to emit entries that no row of the data contains § {#two-kinds-of-there-all-along}. Structural biologists noted that what was left out of the protein-structure prediction problem included 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 a reader wide enough to hold an existing archive all at once, while the second involves a rule captured well enough to emit entries that no row of the data contains § {#two-kinds-of-there-all-along}. Structural biologists noted that what was left out of the protein-structure prediction problem included 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": 0.9692323110066354, "ttft_ms": 241, "tokens_in": 5245, "tokens_out": 135, "cached_tokens": 4992, "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read" ], "gates": { "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-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": [], "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 a frontier model cannot enter because it charges for everything, including the decompressor bytes § {#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 a frontier model cannot enter because it charges for everything, including the decompressor bytes § {#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": 0.911574425001163, "ttft_ms": 262, "tokens_in": 5255, "tokens_out": 115, "cached_tokens": 4992, "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": "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}. The compressed photograph — what those Q4_K_M tags actually mean covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "how-to-check-our-work-and-see-it-live", "seconds": 0.48188286798540503, "ttft_ms": 268, "tokens_in": 5246, "tokens_out": 33, "cached_tokens": 5216, "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-13", "kind": "off-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 resulted in the sampler skipping the penalties stage § {#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 resulted in the sampler skipping the penalties stage § {#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": 0.9567676080041565, "ttft_ms": 259, "tokens_in": 7248, "tokens_out": 125, "cached_tokens": 7008, "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}. Specifically, 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 notes that it 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}. Specifically, 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 notes that it does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9185215850011446, "ttft_ms": 267, "tokens_in": 8230, "tokens_out": 114, "cached_tokens": 8000, "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 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 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 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}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0437176550040022, "ttft_ms": 290, "tokens_in": 7429, "tokens_out": 130, "cached_tokens": 7168, "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an" ], "gates": { "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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": "three-at-the-table", "q": "what would this measurement look like at twice the batch size?", "ok": true, "answer": "The article does not say what this measurement would look like at twice the batch size § {#what-this-page-does-not-say}.", "served": "This page doesn't say. The nearest it gets is § {#what-this-page-does-not-say}. The compressed photograph — what those Q4_K_M tags actually mean covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "what-this-page-does-not-say", "seconds": 0.5061939700099174, "ttft_ms": 298, "tokens_in": 7416, "tokens_out": 31, "cached_tokens": 7392, "cites": [ "what-this-page-does-not-say" ], "gates": { "cites": [ "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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-19", "kind": "off-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, meaning every token's math can happen at the same time since the text already exists § {#reading-is-a-group-photo}. Writing is slower because it is serial, as 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}. 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, meaning every token's math can happen at the same time since the text already exists § {#reading-is-a-group-photo}. Writing is slower because it is serial, as 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}. 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": 1.0167656559788156, "ttft_ms": 270, "tokens_in": 5287, "tokens_out": 135, "cached_tokens": 5024, "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": "reading-is-fast", "q": "who won the football world cup in 2022?", "ok": true, "answer": "The article does not answer this 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": 0.4031090759963263, "ttft_ms": 276, "tokens_in": 5285, "tokens_out": 19, "cached_tokens": 5248, "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": "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 the aisle of the specific game being asked about, picking up that edition's rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not mention what was left out, moved, or not measured regarding the embedder or the third librarian § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "served": "The embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. The third librarian works only the aisle of the specific game being asked about, picking up that edition's rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. The article does not mention what was left out, moved, or not measured regarding the embedder or the third librarian § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9201612850010861, "ttft_ms": 245, "tokens_in": 5668, "tokens_out": 125, "cached_tokens": 5408, "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle", "the-nerd-shelf-the-numbers-from-the-shipped-configuration" ], "gates": { "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle", "the-nerd-shelf-the-numbers-from-the-shipped-configuration" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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} and missed the judge seat preservation floor of 13 § {#the-judge-seat-and-the-floor-it-missed}. It achieved 11 of 16 in preservation § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the judge seat's publication remains unruled § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "served": "The qwen3.8:27b model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} and missed the judge seat preservation floor of 13 § {#the-judge-seat-and-the-floor-it-missed}. It achieved 11 of 16 in preservation § {#the-judge-seat-and-the-floor-it-missed}. The article notes that no baseline was scored for the classifier seat and that the judge seat's publication remains unruled § {#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": 1.3385042939917184, "ttft_ms": 380, "tokens_in": 14838, "tokens_out": 154, "cached_tokens": 14592, "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", "13", "11", "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-27", "kind": "on-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 results published in 2028 § {#the-arrival}.", "served": "This page doesn't say. The nearest it gets is § {#the-arrival}. The Instrument Travels covers it more directly.", "abstained": true, "abstain_source": "gate", "abstain_section": "the-arrival", "seconds": 0.5833970759995282, "ttft_ms": 398, "tokens_in": 14838, "tokens_out": 23, "cached_tokens": 14784, "cites": [ "the-arrival" ], "gates": { "cites": [ "the-arrival" ], "cites_dropped": [], "new_noun_tokens": [ "2028" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "2028" ], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-15", "kind": "off-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 original twenty-six day period § {#measured-again-after-publication}, and the largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that the largest file is estimated at eight million tokens at four bytes each § {#where-the-file-came-from}.", "served": "No AI crawler requested the llms.txt file during the original twenty-six day period § {#measured-again-after-publication}, and the largest measured llms-full file weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that the largest file is estimated at eight million tokens at four bytes each § {#where-the-file-came-from}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9515118069830351, "ttft_ms": 382, "tokens_in": 12269, "tokens_out": 87, "cached_tokens": 12224, "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": "llms-txt", "q": "how many people subscribe to this site's feed?", "ok": true, "answer": "The article does not say how many people subscribe to this site's feed § {#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": 0.5798974990029819, "ttft_ms": 361, "tokens_in": 12254, "tokens_out": 26, "cached_tokens": 12000, "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": "the-open-call", "q": "how many models were handed the frozen moment, and what did the round cost?", "ok": true, "answer": "Twenty models were seated and answered 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 seated and answered 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": 1.7581946190039162, "ttft_ms": 661, "tokens_in": 63357, "tokens_out": 106, "cached_tokens": 63328, "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": "the-open-call", "q": "what did other reviewers say about this piece after it was published?", "ok": true, "answer": "The article does not state what other reviewers said about this piece after it was published § {#the-author-of-this-page-is-a-contestant-in-it}.", "served": "This page doesn't say. The nearest it gets is § {#the-author-of-this-page-is-a-contestant-in-it}. Three New Voices at the Narrator's Chair covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-author-of-this-page-is-a-contestant-in-it", "seconds": 1.2384544079832267, "ttft_ms": 598, "tokens_in": 63354, "tokens_out": 40, "cached_tokens": 63104, "cites": [ "the-author-of-this-page-is-a-contestant-in-it" ], "gates": { "cites": [ "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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-14", "kind": "off-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, some notebook rules were set to keep lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "served": "Every notebook on the server now keeps thirty days of entries § {#the-first-promise-your-visit-stays-between-us}. This rule applies to all notebooks, including the tour guide's, and is maintained by a nightly sweep § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, some notebook rules were set to keep lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.848358935007127, "ttft_ms": 250, "tokens_in": 4542, "tokens_out": 107, "cached_tokens": 4288, "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": "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 § {#the-first-promise-your-visit-stays-between-us}.", "served": "This page doesn't say. The nearest it gets is § {#the-first-promise-your-visit-stays-between-us}. The map nobody picks up — and whether it helps when it arrives. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-first-promise-your-visit-stays-between-us", "seconds": 0.47726309299468994, "ttft_ms": 255, "tokens_in": 4541, "tokens_out": 34, "cached_tokens": 4512, "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": "off-16", "kind": "off-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 recon, propose additions to rosters, write executable plans, audit those plans, execute the bench, and draft articles § {#the-thorough-walk}. The human operator notices sparks of interest, negotiates the roster, shapes the plan, reviews hardened drafts, steers execution at checkpoints, and provides the final word on release § {#the-thorough-walk}. Regarding what was left out, the article notes that the voice trial's original five questions were never persisted § {#the-thorough-walk}.", "served": "The human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform recon, propose additions to rosters, write executable plans, audit those plans, execute the bench, and draft articles § {#the-thorough-walk}. The human operator notices sparks of interest, negotiates the roster, shapes the plan, reviews hardened drafts, steers execution at checkpoints, and provides the final word on release § {#the-thorough-walk}. Regarding what was left out, the article notes that the voice trial's original five questions were never persisted § {#the-thorough-walk}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9495088169933297, "ttft_ms": 255, "tokens_in": 4982, "tokens_out": 128, "cached_tokens": 4736, "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": "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": 0.39879093601484783, "ttft_ms": 261, "tokens_in": 4979, "tokens_out": 22, "cached_tokens": 4928, "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": "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 change represents the retrieval leg that the move actually touched § {#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 change represents the retrieval leg that the move actually touched § {#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": 0.7394404130172916, "ttft_ms": 262, "tokens_in": 5978, "tokens_out": 85, "cached_tokens": 5728, "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": "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": 0.36566672701155767, "ttft_ms": 268, "tokens_in": 5976, "tokens_out": 14, "cached_tokens": 5952, "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": "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 serving box did not stop serving, as the article states that serving stayed up all day § {#what-the-day-actually-settled}. The article notes that no on-disk blob size was measured § {#roster}.", "served": "Nine models and eleven arms sat the five chairs, with only five of the eleven arms sitting all five chairs § {#roster}. The serving box did not stop serving, as the article states that serving stayed up all day § {#what-the-day-actually-settled}. The article notes that no on-disk blob size was measured § {#roster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0082587579963729, "ttft_ms": 435, "tokens_in": 29973, "tokens_out": 75, "cached_tokens": 29728, "cites": [ "roster", "what-the-day-actually-settled" ], "gates": { "cites": [ "roster", "what-the-day-actually-settled" ], "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-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}. It only mentions 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": 0.761620581994066, "ttft_ms": 337, "tokens_in": 16345, "tokens_out": 63, "cached_tokens": 16096, "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}. 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 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}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8576851170219015, "ttft_ms": 345, "tokens_in": 10005, "tokens_out": 81, "cached_tokens": 9760, "cites": [ "vendors" ], "gates": { "cites": [ "vendors" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "id": "on-35", "kind": "on-page" }, { "slug": "outside-judges", "q": "what is this workshop's hourly rate for consulting work?", "ok": true, "answer": "The article does not provide information regarding 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": 0.5780362419900484, "ttft_ms": 357, "tokens_in": 9998, "tokens_out": 30, "cached_tokens": 9952, "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": "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-q4_K_M was on the residency census but was never on the roster for the voice leg § {#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-q4_K_M was on the residency census but was never on the roster for the voice leg § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0905548479931895, "ttft_ms": 313, "tokens_in": 10936, "tokens_out": 133, "cached_tokens": 10688, "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", "4" ], "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": true, "answer": "A model must achieve a kill-recall of at least 23/27 and a preservation of at least 13/16 § {#the-instrument}. These two floors were written down before any model ran and each binds on its own § {#the-instrument}. The article notes that one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "served": "A model must achieve a kill-recall of at least 23/27 and a preservation of at least 13/16 § {#the-instrument}. These two floors were written down before any model ran and each binds on its own § {#the-instrument}. The article notes that one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8615504070185125, "ttft_ms": 265, "tokens_in": 6987, "tokens_out": 79, "cached_tokens": 6752, "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": 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, "id": "on-37", "kind": "on-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. The nearest it gets is § {#the-instrument}. The Instrument Travels covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-instrument", "seconds": 0.4877026620088145, "ttft_ms": 271, "tokens_in": 6983, "tokens_out": 21, "cached_tokens": 6944, "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": 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-21", "kind": "off-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 § {#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 § {#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": 1.0100720199989155, "ttft_ms": 241, "tokens_in": 10109, "tokens_out": 131, "cached_tokens": 9856, "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 each licence is read in full by the workshop's agents, with the specific method for each read named once per table above the corresponding row § {#how-to-read-this-page}. The ledger records the date the licence text was last read in full, what the licence asks of the workshop, and what it permits the reader § {#how-to-read-this-page}. The article notes that unread models are withheld and that some models, such as gemma2:9b, are not currently installed on the bench box and therefore cannot be re-read § {#provenance-063a00}.", "served": "The page states that each licence is read in full by the workshop's agents, with the specific method for each read named once per table above the corresponding row § {#how-to-read-this-page}. The ledger records the date the licence text was last read in full, what the licence asks of the workshop, and what it permits the reader § {#how-to-read-this-page}. The article notes that unread models are withheld and that some models, such as gemma2:9b, are not currently installed on the bench box and therefore cannot be re-read § {#provenance-063a00}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0354058710217942, "ttft_ms": 263, "tokens_in": 8383, "tokens_out": 135, "cached_tokens": 8128, "cites": [ "how-to-read-this-page", "provenance-063a00" ], "gates": { "cites": [ "how-to-read-this-page", "provenance-063a00" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "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, "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 composed 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 composed 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": 1.0321255649905652, "ttft_ms": 332, "tokens_in": 18661, "tokens_out": 107, "cached_tokens": 18400, "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 threshold, as no large effect was detected in its favour and what direction there is runs toward the untouched model § {#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 any house prompts that the adapter won § {#what-the-adapter-actually-did}.", "served": "The adapter did not clear the listening threshold, as no large effect was detected in its favour and what direction there is runs toward the untouched model § {#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 any house prompts that the adapter won § {#what-the-adapter-actually-did}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8543670100043528, "ttft_ms": 306, "tokens_in": 8749, "tokens_out": 94, "cached_tokens": 8480, "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" } ], "verdicts": { "on_page_answered": true, "non_verbatim_figures": true, "off_page_abstained": true, "redaction_hits": true, "p50_warm_seconds": true, "p95_warm_seconds": true }, "passed": true }