{ "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": "2026-09-12T16:03:52Z", "arm": "cold", "concurrency": 1, "effective_concurrency": 1, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent" }, "packnorm_definition_recorded_not_governing": "v3", "bank": { "path": "bank.json", "counts": { "on_page": 41, "off_page": 21, "total": 62 } }, "results": { "on_page_total": 41, "on_page_answered": 41, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 4, "off_page_abstained_by_model": 17, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 1, "off_page_cited": 17, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 1.054, "p95_seconds": 7.658, "pages_warmed": null, "cache_hits": null, "cache_hit_of": null }, "rows": [ { "slug": "three-new-voices-at-the-narrators-chair", "q": "what did the round cost in total, and how were the three new voices judged?", "ok": true, "answer": "The metered total for the round was $0.7652 § {#the-bill}. The three new voices were judged by a panel of six carried seats, which were selected from seven total seats after one seat was retired for the round § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the reasoning for GLM 5.3 was counted and withheld § {#what-changed-since-the-open-call}.", "served": "The metered total for the round was $0.7652 § {#the-bill}. The three new voices were judged by a panel of six carried seats, which were selected from seven total seats after one seat was retired for the round § {#seven-seats-six-carried-and-where-their-zeros-sit}. The article notes that the reasoning for GLM 5.3 was counted and withheld § {#what-changed-since-the-open-call}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 12.71793784800684, "ttft_ms": 11632, "tokens_in": 82422, "tokens_out": 102, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "what-changed-since-the-open-call" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "what-changed-since-the-open-call" ], "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", "5.3" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-01", "kind": "on-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "The blind head-to-head used 36 cases and did not separate the two models § {#head-to-head}. The pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over 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": 2.9017732990032528, "ttft_ms": 1990, "tokens_in": 26563, "tokens_out": 123, "cached_tokens": 0, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "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 worlds that were left out, moved, or not measured § {#for-the-technically-curious}.", "served": "Six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. The article does not mention any worlds that were left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6515431510051712, "ttft_ms": 335, "tokens_in": 2944, "tokens_out": 62, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1280", "40" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-03", "kind": "on-page" }, { "slug": "the-beat-lab-asked-and-answered", "q": "how many answers does the page carry, and does any model run to make it?", "ok": true, "answer": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#where-these-answers-come-from}. The answers are derived from the lab's own question bank and are not written twice § {#the-beat-lab}. Nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "served": "The page carries twenty-seven answers and no model is asked for any answer on this page § {#where-these-answers-come-from}. The answers are derived from the lab's own question bank and are not written twice § {#the-beat-lab}. Nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7626778569829185, "ttft_ms": 374, "tokens_in": 4460, "tokens_out": 74, "cached_tokens": 32, "cites": [ "where-these-answers-come-from" ], "gates": { "cites": [ "where-these-answers-come-from" ], "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 preferred the non-adapter version of the request \"Basement Loop 7\" because the adapter version added \"weird clippy hi hats\" § {#one-artist-instead-of-a-tag}. The article notes that the 63 files that ran twenty minutes or longer were thrown out and the best training pass for the fourth adapter was never saved to disk § {#a-genre-not-a-composer} § {#where-part-two-left-off}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener preferred the non-adapter version of the request \"Basement Loop 7\" because the adapter version added \"weird clippy hi hats\" § {#one-artist-instead-of-a-tag}. The article notes that the 63 files that ran twenty minutes or longer were thrown out and the best training pass for the fourth adapter was never saved to disk § {#a-genre-not-a-composer} § {#where-part-two-left-off}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.5954668470076285, "ttft_ms": 832, "tokens_in": 12901, "tokens_out": 129, "cached_tokens": 32, "cites": [ "a-genre-not-a-composer", "one-artist-instead-of-a-tag", "where-part-two-left-off" ], "gates": { "cites": [ "a-genre-not-a-composer", "one-artist-instead-of-a-tag", "where-part-two-left-off" ], "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", "7", "63" ], "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 listening masters are created by applying one constant gain to the raw renders, which 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 these clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}. The article notes that the raw renders sit in `audio/` and were never re-encoded, trimmed, or levelled after the fact § {#how-to-listen}.", "served": "There are sixty-three players on the page § {#how-to-listen}. The listening masters are created by applying one constant gain to the raw renders, which 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 these clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}. The article notes that the raw renders sit in `audio/` and were never re-encoded, trimmed, or levelled after the fact § {#how-to-listen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.9431824990024325, "ttft_ms": 947, "tokens_in": 14171, "tokens_out": 159, "cached_tokens": 32, "cites": [ "how-to-listen" ], "gates": { "cites": [ "how-to-listen" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16", "16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-06", "kind": "on-page" }, { "slug": "half-an-hour-with-dead-composers", "q": "how long did the Sousa and Bach adapters take to train?", "ok": true, "answer": "The Sousa adapter took 14 minutes 36 seconds to train § {#sousa-a-hundred-and-six-marches}, while the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. The article notes that the better-loss Sousa checkpoint was never applied to the shipped adapter § {#sousa-a-hundred-and-six-marches}, and it did not perform a formal, blinded listening test to see if 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}. The article notes that the better-loss Sousa checkpoint was never applied to the shipped adapter § {#sousa-a-hundred-and-six-marches}, and it did not perform a formal, blinded listening test to see if any merge sounds like a blend of its parents § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1210510759847239, "ttft_ms": 397, "tokens_in": 5425, "tokens_out": 132, "cached_tokens": 32, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "what-we-did-not-measure" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings", "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, and the process took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article notes that it did not measure whether a smaller GPU could have run this training § {#what-we-did-not-measure}.", "served": "Nineteen recordings were used for training, and the process took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. The article notes that it did not measure whether a smaller GPU could have run this training § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7514389170100912, "ttft_ms": 367, "tokens_in": 3575, "tokens_out": 72, "cached_tokens": 32, "cites": [ "five-minutes-of-training-honestly-accounted", "what-we-did-not-measure" ], "gates": { "cites": [ "five-minutes-of-training-honestly-accounted", "what-we-did-not-measure" ], "cites_dropped": [], "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 arm, which is the 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 never applied to a model that cannot hold a seat, and two were excluded because the bench's checkers fail correct answers on string matches § {#the-ledger-of-what-did-not-read} § {#sixteen-of-nineteen}.", "served": "The arm, which is the 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 never applied to a model that cannot hold a seat, and two were excluded because the bench's checkers fail correct answers on string matches § {#the-ledger-of-what-did-not-read} § {#sixteen-of-nineteen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.803909256006591, "ttft_ms": 462, "tokens_in": 6258, "tokens_out": 248, "cached_tokens": 32, "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "gates": { "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "5.3", "16/19", "84.2", "95", "62.4", "94.5", "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": "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 it did not measure the GPU-server half of the outage test § {#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 it did not measure the GPU-server half of the outage test § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.5750305529800244, "ttft_ms": 771, "tokens_in": 10851, "tokens_out": 136, "cached_tokens": 32, "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "gates": { "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "12", "11.87" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-10", "kind": "on-page" }, { "slug": "the-instrument-travels", "q": "when the frozen exam moved to the smaller card, where did the ranked model land?", "ok": true, "answer": "The ranked model qwen3.6:27b landed at a kill-recall of 11/12 and a preservation of 8/9 when re-examined on the smaller card § {#what-the-battery-was-for-the-instrument-travels}. This result was considered tied with the 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}. A note on the data indicates that while the kill-recall count was identical, the specific missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "served": "The ranked model qwen3.6:27b landed at a kill-recall of 11/12 and a preservation of 8/9 when re-examined on the smaller card § {#what-the-battery-was-for-the-instrument-travels}. This result was considered tied with the 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}. A note on the data indicates that while the kill-recall count was identical, the specific missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.513201364025008, "ttft_ms": 541, "tokens_in": 8384, "tokens_out": 171, "cached_tokens": 32, "cites": [ "what-the-battery-was-for-the-instrument-travels" ], "gates": { "cites": [ "what-the-battery-was-for-the-instrument-travels" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.6", "27", "11/12", "8/9", "96" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-11", "kind": "on-page" }, { "slug": "nine-worlds-one-dog", "q": "what stays the same across the nine paintings?", "ok": true, "answer": "The same dog, curl, and tucked paws remain constant across all nine paintings § {#for-the-technically-curious}. The dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. The article does not state what was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "The same dog, curl, and tucked paws remain constant across all nine paintings § {#for-the-technically-curious}. The dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. The article does not state what was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.6366973310068715, "ttft_ms": 234, "tokens_in": 1914, "tokens_out": 82, "cached_tokens": 32, "cites": [ "for-the-technically-curious" ], "gates": { "cites": [ "for-the-technically-curious" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-12", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what did the 450-watt cap cost the dense model, and what did it buy back?", "ok": true, "answer": "On the dense arm, the 600 to 450 W cap costs 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. 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": 1.3894699049997143, "ttft_ms": 474, "tokens_in": 7061, "tokens_out": 167, "cached_tokens": 32, "cites": [ "the-answer-in-one-paragraph", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-answer-in-one-paragraph", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "600", "450", "2.0", "138", "11", "28", "16", "94.6", "92.7", "586.5", "448.4", "2" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-13", "kind": "on-page" }, { "slug": "how-the-beat-lab-works", "q": "where is the sound made, and how long does a typical wish take?", "ok": true, "answer": "Every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not state how long the process of making a sound takes, only how long the wish takes § {#what-happens-when-you-ask-the-genie}.", "served": "Every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. A typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. The article does not state how long the process of making a sound takes, only how long the wish takes § {#what-happens-when-you-ask-the-genie}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.0921323460061103, "ttft_ms": 2296, "tokens_in": 31311, "tokens_out": 98, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "The developer developed a picture in 1.54 seconds § {#the-developer}. When a full token stream was present, the time for a sketch increased to 1.82 seconds § {#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 a full token stream was present, the time for a sketch increased to 1.82 seconds § {#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": 0.8993447270186152, "ttft_ms": 410, "tokens_in": 5388, "tokens_out": 88, "cached_tokens": 32, "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "gates": { "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1.54", "1.82" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-15", "kind": "on-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "how much faster was the workstation card than the 3090 on the game's own art?", "ok": true, "answer": "The 96 GB card was 3.4× faster than the RTX 3090 when rendering the game's sketch artist, FLUX.2 klein-4B, at the 512×512 live default resolution § {#the-table-that-answers-the-question}. This comparison is based on median render times of 0.48 s for the 96 GB card versus 1.65 s for the 3090 § {#the-table-that-answers-the-question}. The article notes that 8–12 GB cards were not tested § {#speed-class-survives-the-hardware-drop}.", "served": "The 96 GB card was 3.4× faster than the RTX 3090 when rendering the game's sketch artist, FLUX.2 klein-4B, at the 512×512 live default resolution § {#the-table-that-answers-the-question}. This comparison is based on median render times of 0.48 s for the 96 GB card versus 1.65 s for the 3090 § {#the-table-that-answers-the-question}. The article notes that 8–12 GB cards were not tested § {#speed-class-survives-the-hardware-drop}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.142972497997107, "ttft_ms": 377, "tokens_in": 4451, "tokens_out": 147, "cached_tokens": 32, "cites": [ "the-table-that-answers-the-question" ], "gates": { "cites": [ "the-table-that-answers-the-question" ], "cites_dropped": [ "speed-class-survives-the-hardware-drop" ], "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: speed-class-survives-the-hardware-drop" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "speed-class-survives-the-hardware-drop" ] }, "figures": [ "96", "3.4", "3090", "2", "4", "512", "512", "0.48", "96", "1.65", "3090", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-16", "kind": "on-page" }, { "slug": "how-a-vision-model-sees", "q": "how many tokens does an 896 px picture become, and how long does its prefill take?", "ok": true, "answer": "An 896 px picture becomes 199 tokens and has a prefill time of 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 measurement.", "served": "An 896 px picture becomes 199 tokens and has a prefill time of 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 measurement.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1829702389950398, "ttft_ms": 714, "tokens_in": 10017, "tokens_out": 78, "cached_tokens": 32, "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "gates": { "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "896", "199", "184" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "The distilled painter is the sharpest and fastest cell in the second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the distilled painter did not take the tier because its template zeroes the negative conditioning that the no-signature guard rides on § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "served": "The distilled painter is the sharpest and fastest cell in the second run, recording a time of 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. The article notes that the distilled painter did not take the tier because its template zeroes the negative conditioning that the no-signature guard rides on § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.978664458001731, "ttft_ms": 417, "tokens_in": 5216, "tokens_out": 105, "cached_tokens": 32, "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it" ], "gates": { "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.62", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-18", "kind": "on-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "The world is written in a single YAML file 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 mention the file's storage size in bytes § {#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 mention the file's storage size in bytes § {#the-world-is-a-file}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8997856590140145, "ttft_ms": 414, "tokens_in": 5898, "tokens_out": 89, "cached_tokens": 32, "cites": [ "the-world-is-a-file" ], "gates": { "cites": [ "the-world-is-a-file" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16,705" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-19", "kind": "on-page" }, { "slug": "where-new-knowledge-comes-from", "q": "what are the two engines the page names for where new knowledge comes from?", "ok": true, "answer": "The two engines named for where new knowledge comes from are present in the data, unmined, and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. The first engine involves patterns already in an archive that require a reader wide enough to hold them all at once § {#two-kinds-of-there-all-along}. The second engine involves a compression that captures a generating rule and emits entries that no row of the data contains § {#two-kinds-of-there-all-along}. Structural biologists noted that these engines left out how proteins pair up, how they move, and what one mutation does § {#since-1994-a-contest-has-graded-protein-structure-predictions-the-only-way-that-settles-anything-blind}.", "served": "The two engines named for where new knowledge comes from are present in the data, unmined, and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. The first engine involves patterns already in an archive that require a reader wide enough to hold them all at once § {#two-kinds-of-there-all-along}. The second engine involves a compression that captures a generating rule and emits entries that no row of the data contains § {#two-kinds-of-there-all-along}. Structural biologists noted that these engines left out how proteins pair up, how they move, and what one mutation does § {#since-1994-a-contest-has-graded-protein-structure-predictions-the-only-way-that-settles-anything-blind}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3596125449985266, "ttft_ms": 425, "tokens_in": 5245, "tokens_out": 173, "cached_tokens": 32, "cites": [ "two-kinds-of-there-all-along" ], "gates": { "cites": [ "two-kinds-of-there-all-along" ], "cites_dropped": [ "since-1994-a-contest-has-graded-protein-structure-predictions-the-only-way-that-settles-anything-blind" ], "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: since-1994-a-contest-has-graded-protein-structure-predictions-the-only-way-that-settles-anything-blind" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "since-1994-a-contest-has-graded-protein-structure-predictions-the-only-way-that-settles-anything-blind" ] }, "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, serving as the codebook for a corpus § {#the-punchline}. It points to the Hutter Prize, which is a competition where frontier models cannot enter because it charges for every decompressor byte and requires the compressor to be trained from scratch on the file it compresses § {#the-punchline}. 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, serving as the codebook for a corpus § {#the-punchline}. It points to the Hutter Prize, which is a competition where frontier models cannot enter because it charges for every decompressor byte and requires the compressor to be trained from scratch on the file it compresses § {#the-punchline}. 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": 1.0558174670150038, "ttft_ms": 419, "tokens_in": 5255, "tokens_out": 116, "cached_tokens": 32, "cites": [ "the-punchline" ], "gates": { "cites": [ "the-punchline" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-21", "kind": "on-page" }, { "slug": "the-free-speed-wasnt-free", "q": "what was the production median before the change, and what caused the speed-up?", "ok": true, "answer": "The production median before the change was 138.6 tok/s over 1,982 live rulings § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama commit that changed the default repeat_penalty from 1.1 to 1.0, which caused the server to skip the penalties stage in the sampling pipeline § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "The production median before the change was 138.6 tok/s over 1,982 live rulings § {#the-day-the-box-got-faster}. The speed-up was caused by an ollama commit that changed the default repeat_penalty from 1.1 to 1.0, which caused the server to skip the penalties stage in the sampling pipeline § {#the-two-line-commit}. The article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1318634589842986, "ttft_ms": 460, "tokens_in": 7248, "tokens_out": 120, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "138.6", "1,982", "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": 1.2085655650007538, "ttft_ms": 557, "tokens_in": 8230, "tokens_out": 114, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.4", "4", "58.1", "4", "134.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are the payroll and the meeting § {#the-tag-with-two-numbers}. The article notes that the vision tower was excluded from the active-path arithmetic § {#the-arithmetic-that-catches-a-mixture-red-handed}.", "served": "The true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. The two numbers in a model name are the payroll and the meeting § {#the-tag-with-two-numbers}. The article notes that the vision tower was excluded from the active-path arithmetic § {#the-arithmetic-that-catches-a-mixture-red-handed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.023528976016678, "ttft_ms": 496, "tokens_in": 7429, "tokens_out": 94, "cached_tokens": 32, "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-arithmetic-that-catches-a-mixture-red-handed" ], "gates": { "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-arithmetic-that-catches-a-mixture-red-handed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "14.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-24", "kind": "on-page" }, { "slug": "reading-is-fast", "q": "what was the median reading speed, and why is reading faster than writing?", "ok": true, "answer": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is parallel, as the text already exists and every token's math can happen at the same time § {#reading-is-a-group-photo}. Writing is slower because it is serial, as the model must choose tokens one at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}. The article does not mention what was left out, moved, or not measured § {#what-this-page-does-not-say}.", "served": "The median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. Reading is faster because it is parallel, as the text already exists and every token's math can happen at the same time § {#reading-is-a-group-photo}. Writing is slower because it is serial, as the model must choose tokens one at a time because the future of the sentence does not yet exist § {#writing-is-one-at-a-time}. The article does not mention what was left out, moved, or not measured § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1608119029842783, "ttft_ms": 417, "tokens_in": 5287, "tokens_out": 137, "cached_tokens": 32, "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "reading-is-a-group-photo", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "5,415" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-25", "kind": "on-page" }, { "slug": "three-librarians", "q": "how many dimensions does the embedder's map have, and what does the third librarian do?", "ok": true, "answer": "The embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. The third librarian works only the aisle of the specific game being asked about by picking up that edition's rulebook and any matched correction documents § {#the-third-librarian-never-left-your-aisle}. The article does not state what was moved or not measured § {#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 by picking up that edition's rulebook and any matched correction documents § {#the-third-librarian-never-left-your-aisle}. The article does not state what was moved or not measured § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9745693400036544, "ttft_ms": 389, "tokens_in": 5668, "tokens_out": 108, "cached_tokens": 32, "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle", "the-nerd-shelf-the-numbers-from-the-shipped-configuration" ], "gates": { "cites": [ "the-second-librarian-searches-by-meaning", "the-third-librarian-never-left-your-aisle", "the-nerd-shelf-the-numbers-from-the-shipped-configuration" ], "cites_dropped": [], "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 by scoring 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. The article notes that the classifier seat's G1 result of 0/20 was based on about 40 intended offensive items rather than the full amount § {#the-classifier-seat-five-gates-all-pass-faster}.", "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 by scoring 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. The article notes that the classifier seat's G1 result of 0/20 was based on about 40 intended offensive items rather than the full amount § {#the-classifier-seat-five-gates-all-pass-faster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.752691778994631, "ttft_ms": 991, "tokens_in": 14838, "tokens_out": 124, "cached_tokens": 32, "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "gates": { "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.8", "27", "13", "11", "16", "0/20", "40" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-27", "kind": "on-page" }, { "slug": "llms-txt", "q": "did any ai crawler fetch the file in the first thirty days, and how big is the largest measured llms-full file?", "ok": true, "answer": "No AI crawler fetched the llms.txt file in the first thirty days of the logs, though the article notes that twenty-six AI-crawler requests arrived in the thirty-four hours after that count closed § {#measured-again-after-publication}. The largest llms-full file measured weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that the benchmark does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-bench-if-the-map-arrives-does-it-help}.", "served": "No AI crawler fetched the llms.txt file in the first thirty days of the logs, though the article notes that twenty-six AI-crawler requests arrived in the thirty-four hours after that count closed § {#measured-again-after-publication}. The largest llms-full file measured weighs 30.7 MiB § {#where-the-file-came-from}. The article notes that the benchmark does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-bench-if-the-map-arrives-does-it-help}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6156889319827314, "ttft_ms": 856, "tokens_in": 12269, "tokens_out": 123, "cached_tokens": 32, "cites": [ "measured-again-after-publication", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "gates": { "cites": [ "measured-again-after-publication", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "30.7" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-28", "kind": "on-page" }, { "slug": "the-open-call", "q": "how many models were handed the frozen moment, and what did the round cost?", "ok": true, "answer": "Twenty arms were seated to answer 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 arms were seated to answer 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": 7.785745565983234, "ttft_ms": 6719, "tokens_in": 63357, "tokens_out": 106, "cached_tokens": 32, "cites": [ "five-things-before-any-figure", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "gates": { "cites": [ "five-things-before-any-figure", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "2.2826" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-29", "kind": "on-page" }, { "slug": "where-your-question-goes", "q": "how long does every notebook on the server keep its entries?", "ok": true, "answer": "Every notebook on the server now keeps thirty days of entries § {#the-first-promise-your-visit-stays-between-us}. This rule applies to all notebooks, including the tour guide's, and is maintained by a nightly sweep § {#the-first-promise-your-visit-stays-between-us}. The article notes that previously, the 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, the 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": 0.9344425220042467, "ttft_ms": 374, "tokens_in": 4542, "tokens_out": 107, "cached_tokens": 32, "cites": [ "the-first-promise-your-visit-stays-between-us" ], "gates": { "cites": [ "the-first-promise-your-visit-stays-between-us" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-30", "kind": "on-page" }, { "slug": "how-we-work", "q": "what does the page say about the humans and agents who make each exhibit?", "ok": true, "answer": "The human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator handles noticing, reviewing, steering, and final release § {#the-thorough-walk}. The article notes that the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-thorough-walk}.", "served": "The human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. Agents perform tasks such as recon, planning, hardening, and drafting, whereas the human operator handles noticing, reviewing, steering, and final release § {#the-thorough-walk}. The article notes that the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-thorough-walk}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8542490749969147, "ttft_ms": 367, "tokens_in": 4982, "tokens_out": 92, "cached_tokens": 32, "cites": [ "the-plain-english-version", "the-thorough-walk" ], "gates": { "cites": [ "the-plain-english-version", "the-thorough-walk" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-31", "kind": "on-page" }, { "slug": "the-move", "q": "what did the median search time go from and to after the move?", "ok": true, "answer": "The median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#instrument-two-the-receipts}. The article notes that the move put the database, the search index, and the reranker on a server-class VPS, but generation stays 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 § {#instrument-two-the-receipts}. The article notes that the move put the database, the search index, and the reranker on a server-class VPS, but generation stays on the original GPU box § {#what-moved}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8431372079940047, "ttft_ms": 426, "tokens_in": 5978, "tokens_out": 77, "cached_tokens": 32, "cites": [ "what-moved" ], "gates": { "cites": [ "what-moved" ], "cites_dropped": [ "instrument-two-the-receipts" ], "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: instrument-two-the-receipts" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "instrument-two-the-receipts" ] }, "figures": [ "242", "77.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-32", "kind": "on-page" }, { "slug": "chair-trials", "q": "how many models and arms sat the five exams, and did the box stop serving?", "ok": true, "answer": "Nine models and eleven arms were part of the roster, though only five of the eleven arms sat all five chairs § {#roster}. The box did not stop serving, as the serving probes confirmed that the live app stayed up all day § {#the-box-and-a-disclaimer-we-keep-making-richer}. The article notes that no on-disk blob size was measured and that the registry contains no ordering of models by margin § {#roster} § {#how-to-read-this-page}.", "served": "Nine models and eleven arms were part of the roster, though only five of the eleven arms sat all five chairs § {#roster}. The box did not stop serving, as the serving probes confirmed that the live app stayed up all day § {#the-box-and-a-disclaimer-we-keep-making-richer}. The article notes that no on-disk blob size was measured and that the registry contains no ordering of models by margin § {#roster} § {#how-to-read-this-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9089008449809626, "ttft_ms": 2090, "tokens_in": 29973, "tokens_out": 110, "cached_tokens": 32, "cites": [ "roster", "the-box-and-a-disclaimer-we-keep-making-richer", "how-to-read-this-page" ], "gates": { "cites": [ "roster", "the-box-and-a-disclaimer-we-keep-making-richer", "how-to-read-this-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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-33", "kind": "on-page" }, { "slug": "cove-voice-head-to-head", "q": "what happened to the August class's best voice at the cove's gate?", "ok": true, "answer": "The article does not state what happened to the August class's best voice at the cove's gate § {#floor-1-canon}. The text only 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": 1.397852412017528, "ttft_ms": 973, "tokens_in": 16345, "tokens_out": 64, "cached_tokens": 32, "cites": [ "floor-1-canon" ], "gates": { "cites": [ "floor-1-canon" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-34", "kind": "on-page" }, { "slug": "outside-judges", "q": "how many outside labs re-judged, and what was the widest cross-vendor gap?", "ok": true, "answer": "Four rival labs re-judged the sealed rounds § {#vendors}. The widest cross-vendor gap on any arm was 0.178 § {#vendors}. 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": 1.1014910080120899, "ttft_ms": 621, "tokens_in": 10005, "tokens_out": 81, "cached_tokens": 32, "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": "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 never sat the voice exam § {#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 never sat the voice exam § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.422292641014792, "ttft_ms": 669, "tokens_in": 10936, "tokens_out": 129, "cached_tokens": 32, "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "gates": { "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "10", "16.3", "51.2", "55.8", "62.8", "3.1", "32", "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": 0.8466795929998625, "ttft_ms": 412, "tokens_in": 6987, "tokens_out": 79, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": 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": "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 scored across 40 runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets, remaining unchanged across them § {#the-method-limits-first}. No delta across record sets is ever published, and the article notes that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "The article states that 24 distinct model tags were scored across 40 runs § {#provenance-4cae43}. The anchor model reads 9.0, 7.0, and 6.2 on three different record sets, remaining unchanged across them § {#the-method-limits-first}. No delta across record sets is ever published, and the article notes that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3418506540183444, "ttft_ms": 568, "tokens_in": 10109, "tokens_out": 131, "cached_tokens": 32, "cites": [ "provenance-4cae43", "the-method-limits-first", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "gates": { "cites": [ "provenance-4cae43", "the-method-limits-first", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "24", "40", "9.0", "7.0", "6.2", "2026-08" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-38", "kind": "on-page" }, { "slug": "licences", "q": "what does the page say it does with each model's licence?", "ok": true, "answer": "The page states that every dated row represents a licence text that has been read in full by the workshop's agents § {#how-to-read-this-page}. The method for each read is named once per table so that the process can be repeated § {#how-to-read-this-page}. The ledger is re-read whenever a seat changes or a model updates, and every row is given a fresh read at least every six months § {#why-this-page-is-called-living}. As a note, the article mentions that some models are withheld or unverified because their licences have not been re-read this cycle § {#the-new-painters-the-new-arrivals-diffusion-bench-all-read-2026-08-23}.", "served": "The page states that every dated row represents a licence text that has been read in full by the workshop's agents § {#how-to-read-this-page}. The method for each read is named once per table so that the process can be repeated § {#how-to-read-this-page}. The ledger is re-read whenever a seat changes or a model updates, and every row is given a fresh read at least every six months § {#why-this-page-is-called-living}. As a note, the article mentions that some models are withheld or unverified because their licences have not been re-read this cycle § {#the-new-painters-the-new-arrivals-diffusion-bench-all-read-2026-08-23}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.5016939159831963, "ttft_ms": 611, "tokens_in": 8383, "tokens_out": 167, "cached_tokens": 32, "cites": [ "how-to-read-this-page", "why-this-page-is-called-living" ], "gates": { "cites": [ "how-to-read-this-page", "why-this-page-is-called-living" ], "cites_dropped": [ "the-new-painters-the-new-arrivals-diffusion-bench-all-read-2026-08-23" ], "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-new-painters-the-new-arrivals-diffusion-bench-all-read-2026-08-23" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-new-painters-the-new-arrivals-diffusion-bench-all-read-2026-08-23" ] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-39", "kind": "on-page" }, { "slug": "hear-it-for-yourself", "q": "how many clips does the page carry, and how many presentations made up the sitting?", "ok": true, "answer": "The page carries eighty-four clips § {#three-sets-of-bytes-and-which-one-the-player-fetches}, while the sitting consisted of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations were comprised of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the twenty-four half-strength renders were never put in front of anyone § {#the-blind-sheet-unsealed}.", "served": "The page carries eighty-four clips § {#three-sets-of-bytes-and-which-one-the-player-fetches}, while the sitting consisted of thirty-six presentations § {#the-blind-sheet-unsealed}. These presentations were comprised of twenty-four scoring pairs and twelve sentinels § {#the-blind-sheet-unsealed}. The article notes that the twenty-four half-strength renders were never put in front of anyone § {#the-blind-sheet-unsealed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.8201180500036571, "ttft_ms": 1123, "tokens_in": 18661, "tokens_out": 107, "cached_tokens": 32, "cites": [ "three-sets-of-bytes-and-which-one-the-player-fetches", "the-blind-sheet-unsealed" ], "gates": { "cites": [ "three-sets-of-bytes-and-which-one-the-player-fetches", "the-blind-sheet-unsealed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-40", "kind": "on-page" }, { "slug": "the-ceiling-is-not-the-corpus", "q": "how did the adapter score against the base model in the listening, and on how many house prompts did it win?", "ok": true, "answer": "The adapter did not clear the listening test, as no large effect was detected in its favour and 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 how many house prompts the adapter won, though it notes the adapter won four pairs that were requests for something other than house § {#what-the-adapter-actually-did}.", "served": "The adapter did not clear the listening test, 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 how many house prompts the adapter won, though it notes the adapter won four pairs that were requests for something other than house § {#what-the-adapter-actually-did}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2350357129762415, "ttft_ms": 566, "tokens_in": 8749, "tokens_out": 111, "cached_tokens": 32, "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "gates": { "cites": [ "the-blind-sitting", "what-the-adapter-actually-did" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-41", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what does a large cloud provider charge for the same work?", "ok": true, "answer": "The article does not say what a large cloud provider charges for the same work § {#the-moment-this-page-is-about}.", "served": "This page doesn't say. The nearest it gets is § {#the-moment-this-page-is-about}. 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": 0.5950820299913175, "ttft_ms": 422, "tokens_in": 7051, "tokens_out": 30, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-01", "kind": "off-page" }, { "slug": "how-we-work", "q": "what is the postal address of the workshop that ran this?", "ok": true, "answer": "The article does not provide the postal address of the workshop § {#the-plain-english-version}.", "served": "This page doesn't say. The nearest it gets is § {#the-plain-english-version}. The open call — a kid, an elder, and a tired parent walk into the cove. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-plain-english-version", "seconds": 0.45460406702477485, "ttft_ms": 330, "tokens_in": 4979, "tokens_out": 22, "cached_tokens": 32, "cites": [ "the-plain-english-version" ], "gates": { "cites": [ "the-plain-english-version" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-02", "kind": "off-page" }, { "slug": "llms-txt", "q": "how many people subscribe to this site's feed?", "ok": true, "answer": "The article does not provide information regarding how many people subscribe to the 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": 0.9411749329883605, "ttft_ms": 745, "tokens_in": 12254, "tokens_out": 28, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it" ], "gates": { "cites": [ "does-anyone-fetch-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-03", "kind": "off-page" }, { "slug": "three-new-voices-at-the-narrators-chair", "q": "what will the next article on this site be about?", "ok": 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": 10.238543368002865, "ttft_ms": 9843, "tokens_in": 82416, "tokens_out": 22, "cached_tokens": 32, "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-hours-on-battery", "q": "what did this cost in electricity at my own utility's rate?", "ok": true, "answer": "The article does not state what this cost in electricity at the reader's own utility's rate § {#the-question-our-gpu-benches-never-ask}.", "served": "This page doesn't say. The nearest it gets is § {#the-question-our-gpu-benches-never-ask}. The outside judges — four rival labs re-check our work. covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-question-our-gpu-benches-never-ask", "seconds": 0.8966832059959415, "ttft_ms": 654, "tokens_in": 10850, "tokens_out": 38, "cached_tokens": 0, "cites": [ "the-question-our-gpu-benches-never-ask" ], "gates": { "cites": [ "the-question-our-gpu-benches-never-ask" ], "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-05", "kind": "off-page" }, { "slug": "reading-is-fast", "q": "who won the football world cup in 2022?", "ok": true, "answer": "The article does not answer this question, though the section § {#the-mystery-stated-honestly} comes nearest to discussing general topics.", "served": "This page doesn't say. The nearest it gets is § {#the-mystery-stated-honestly}. The Typist and the Developer covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-mystery-stated-honestly", "seconds": 0.5129346059984528, "ttft_ms": 395, "tokens_in": 5285, "tokens_out": 30, "cached_tokens": 32, "cites": [ "the-mystery-stated-honestly" ], "gates": { "cites": [ "the-mystery-stated-honestly" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-06", "kind": "off-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "what does one of these cards cost in my country today?", "ok": true, "answer": "The article does not answer 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": 0.4752991769928485, "ttft_ms": 300, "tokens_in": 4441, "tokens_out": 33, "cached_tokens": 32, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-07", "kind": "off-page" }, { "slug": "the-move", "q": "can you write a python script that reproduces this for me?", "ok": true, "answer": "The article does not answer whether a python script can be written to reproduce this § {#the-machine}. The text focuses on describing the migration of the production stack and the results of the serving bench and debug ledger measurements § {#instrument-one} § {#instrument-two}.", "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": 0.6728209299908485, "ttft_ms": 366, "tokens_in": 5976, "tokens_out": 56, "cached_tokens": 32, "cites": [ "the-machine" ], "gates": { "cites": [ "the-machine" ], "cites_dropped": [ "instrument-one", "instrument-two" ], "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: 2 cite(s) not in this page's anchors: instrument-one, instrument-two" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "instrument-one", "instrument-two" ] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-08", "kind": "off-page" }, { "slug": "fifty-seven-milliseconds", "q": "what was the weather like on the day this was measured?", "ok": true, "answer": "The article does not say what the weather was like on the day of the measurement § {#how-to-check-our-work-and-see-it-live}.", "served": "This page doesn't say. The nearest it gets is § {#how-to-check-our-work-and-see-it-live}. 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": 0.5464662580052391, "ttft_ms": 333, "tokens_in": 5216, "tokens_out": 37, "cached_tokens": 32, "cites": [ "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-09", "kind": "off-page" }, { "slug": "six-worlds-painted-large", "q": "how many hours a week do the people who ran this work?", "ok": true, "answer": "The article does not state how many hours a week the people who ran this work § {#who-ran-this-and-thanks}.", "served": "This page doesn't say. The nearest it gets is § {#who-ran-this-and-thanks}. How the print lab works covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "who-ran-this-and-thanks", "seconds": 0.41127382501144893, "ttft_ms": 253, "tokens_in": 2943, "tokens_out": 29, "cached_tokens": 32, "cites": [ "who-ran-this-and-thanks" ], "gates": { "cites": [ "who-ran-this-and-thanks" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-10", "kind": "off-page" }, { "slug": "outside-judges", "q": "what is this workshop's hourly rate for consulting work?", "ok": true, "answer": "The article does not answer the question about 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": 0.8249626379983965, "ttft_ms": 620, "tokens_in": 9998, "tokens_out": 31, "cached_tokens": 32, "cites": [ "the-rest-of-the-seminar" ], "gates": { "cites": [ "the-rest-of-the-seminar" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-11", "kind": "off-page" }, { "slug": "the-typist-and-the-developer", "q": "what is this workshop's annual revenue?", "ok": false, "answer": "The article does not state the workshop's annual revenue § {#the-typist-and-the-developer}.", "served": "This page doesn't say. The nearest it gets is § {#the-typist}. Reading is fast, writing is slow — why AI answers arrive word by word covers it more directly.", "abstained": true, "abstain_source": "gate", "abstain_section": "the-typist", "seconds": 0.495351435005432, "ttft_ms": 347, "tokens_in": 5386, "tokens_out": 25, "cached_tokens": 32, "cites": [], "gates": { "cites": [], "cites_dropped": [ "the-typist-and-the-developer" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": true, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-typist-and-the-developer", "cite: no valid cite" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-typist-and-the-developer" ] }, "figures": [], "figures_verbatim": true, "cites_valid": false, "redaction_hits": 0, "id": "off-12", "kind": "off-page" }, { "slug": "compression-is-the-objective", "q": "how would these numbers change on windows instead?", "ok": true, "answer": "The article does not state how these numbers would change on windows § {#what-we-can-show-you}.", "served": "This page doesn't say. The nearest it gets is § {#what-we-can-show-you}. 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The nearest it gets is § {#the-words-this-page-leans-on}. 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