{ "schema_version": "1.0", "run_utc": "2026-09-09T19:16:52Z", "arm": "cold", "concurrency": 6, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent — the gemma-class seat's serving unit dropped --seed in the change that added the bearer (2026-09-09)" }, "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": 39, "non_verbatim_figures": 2, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 2, "off_page_abstained_by_model": 19, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 0, "off_page_cited": 19, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 4.217, "p95_seconds": 14.43 }, "rows": [ { "slug": "three-new-voices-at-the-narrators-chair", "q": "what did the round cost in total, and how were the three new voices judged?", "ok": true, "answer": "the metered total for the round was $0.7652 § {#the-bill}. the three new voices were judged by a panel of six families, as the zhipu chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. the article does not state what was moved or not measured, though it notes that the counts for the three new voices are not compared to the August rows § {#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 families, as the zhipu chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. the article does not state what was moved or not measured, though it notes that the counts for the three new voices are not compared to the August rows § {#what-changed-since-the-open-call}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.469370378001258, "ttft_ms": 12552, "tokens_in": 82427, "tokens_out": 113, "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" ], "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 arms § {#head-to-head}. the panel's pooled preference rate was 0.544 for Claude Fable 5.1, but a cluster bootstrap over the 36 cases put that rate at [0.444, 0.638], an interval that covers 0.5 § {#head-to-head}. the narrator's chair job was moved out before the pre-registration was written because it was the most code on the round and the least defensible number on the page § {#two-strangers-at-the-door}.", "served": "the blind head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the panel's pooled preference rate was 0.544 for Claude Fable 5.1, but a cluster bootstrap over the 36 cases put that rate at [0.444, 0.638], an interval that covers 0.5 § {#head-to-head}. the narrator's chair job was moved out before the pre-registration was written because it was the most code on the round and the least defensible number on the page § {#two-strangers-at-the-door}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.707000032998621, "ttft_ms": 3095, "tokens_in": 26568, "tokens_out": 142, "cached_tokens": 32, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "36", "0.544", "5.1", "36", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that thirty-nine renders were made to choose these six, with other subjects and worlds tried along the way and set aside by eye § {#for-the-technically-curious}.", "served": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that thirty-nine renders were made to choose these six, with other subjects and worlds tried along the way and set aside by eye § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.174614622999798, "ttft_ms": 283, "tokens_in": 2635, "tokens_out": 74, "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 § {#is-this-ai}. the answers are derived from the lab's question bank, which is one file in the lab's repository § {#where-these-answers-come-from}. nothing outside the twenty-seven gets an invented answer § {#nothing-outside-the-twenty-seven-gets-an-invented-answer}.", "served": "the page carries twenty-seven answers and no model is asked for any answer on this page § {#is-this-ai}. the answers are derived from the lab's question bank, which is one file in the lab's repository § {#where-these-answers-come-from}. nothing outside the twenty-seven gets an invented answer § {#nothing-outside-the-twenty-seven-gets-an-invented-answer}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.538954503999776, "ttft_ms": 367, "tokens_in": 4465, "tokens_out": 92, "cached_tokens": 32, "cites": [ "is-this-ai", "where-these-answers-come-from" ], "gates": { "cites": [ "is-this-ai", "where-these-answers-come-from" ], "cites_dropped": [ "nothing-outside-the-twenty-seven-gets-an-invented-answer" ], "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: nothing-outside-the-twenty-seven-gets-an-invented-answer" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "nothing-outside-the-twenty-seven-gets-an-invented-answer" ] }, "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 § {#forty-one-releases-licence-by-licence}. the one listener preferred the one-artist adapter over the untouched model on the request Schwerelos, though they noted the non-adapter version sounded way better on Basement Loop 7 § {#one-artist-instead-of-a-tag}. the article does not state what a DJ-curated subset of the 208 tracks would teach § {#what-we-did-not-measure}.", "served": "the adapter was trained on 159 tracks from 41 releases § {#forty-one-releases-licence-by-licence}. the one listener preferred the one-artist adapter over the untouched model on the request Schwerelos, though they noted the non-adapter version sounded way better on Basement Loop 7 § {#one-artist-instead-of-a-tag}. the article does not state what a DJ-curated subset of the 208 tracks would teach § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.982361282000056, "ttft_ms": 989, "tokens_in": 12906, "tokens_out": 115, "cached_tokens": 32, "cites": [ "forty-one-releases-licence-by-licence", "one-artist-instead-of-a-tag", "what-we-did-not-measure" ], "gates": { "cites": [ "forty-one-releases-licence-by-licence", "one-artist-instead-of-a-tag", "what-we-did-not-measure" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "159", "41", "7", "208" ], "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 players play a listening master of each one, which is the render with one constant gain applied and nothing else § {#how-to-listen}. 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 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 does not mention any renders that were not measured or moved, though it notes that the raw renders sit in `audio/` § {#how-to-listen}.", "served": "there are sixty-three players on the page § {#how-to-listen}. the players play a listening master of each one, which is the render with one constant gain applied and nothing else § {#how-to-listen}. 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 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 does not mention any renders that were not measured or moved, though it notes that the raw renders sit in `audio/` § {#how-to-listen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.730369593000432, "ttft_ms": 1652, "tokens_in": 14176, "tokens_out": 173, "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} and the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. the article does not specify what was left out, moved, or not measured in relation to these specific training durations § {#what-we-did-not-measure}.", "served": "the Sousa adapter took 14 minutes 36 seconds to train § {#sousa-a-hundred-and-six-marches} and the Bach adapter took 8 minutes 23 seconds § {#bach-the-pianist-who-freed-her-own-recordings}. the article does not specify what was left out, moved, or not measured in relation to these specific training durations § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6680941930007975, "ttft_ms": 357, "tokens_in": 5430, "tokens_out": 98, "cached_tokens": 0, "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 went into training, and the training took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. the article does not state how long the training would take on a smaller GPU, noting that the test is queued § {#what-we-did-not-measure}.", "served": "nineteen recordings went into training, and the training took 4 minutes 49 seconds by the trainer's own clock § {#five-minutes-of-training-honestly-accounted}. the article does not state how long the training would take on a smaller GPU, noting that the test is queued § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.23536589700052, "ttft_ms": 296, "tokens_in": 3580, "tokens_out": 76, "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 honestly be read on the cloud path, three more never applied to a model that cannot hold a seat, and two read § {#the-ledger-of-what-did-not-read}.", "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 honestly be read on the cloud path, three more never applied to a model that cannot hold a seat, and two read § {#the-ledger-of-what-did-not-read}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.925651598001423, "ttft_ms": 446, "tokens_in": 6263, "tokens_out": 226, "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}. the article notes that the gpu-server half of the test stays unmeasured by design because its outage machine sheds the GPU within 30 seconds rather than carrying it § {#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}. the article notes that the gpu-server half of the test stays unmeasured by design because its outage machine sheds the GPU within 30 seconds rather than carrying it § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.34645958800138, "ttft_ms": 677, "tokens_in": 10856, "tokens_out": 107, "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", "12", "30", "12" ], "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 kill-recall 11/12 and preservation 8/9 when re-examined on the 24 GB card § {#the-chair-and-who-gets-to-sit-in-it}. this result is considered TIED with the previous 96 GB run because the preservation delta of one item is within the pre-registered two-item tie band § {#the-chair-and-who-gets-to-sit-in-it}. note that the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#the-chair-and-who-gets-to-sit-in-it}.", "served": "the ranked model qwen3.6:27b landed at kill-recall 11/12 and preservation 8/9 when re-examined on the 24 GB card § {#the-chair-and-who-gets-to-sit-in-it}. this result is considered TIED with the previous 96 GB run because the preservation delta of one item is within the pre-registered two-item tie band § {#the-chair-and-who-gets-to-sit-in-it}. note that the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#the-chair-and-who-gets-to-sit-in-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.186872485999629, "ttft_ms": 1123, "tokens_in": 8389, "tokens_out": 159, "cached_tokens": 32, "cites": [ "the-chair-and-who-gets-to-sit-in-it" ], "gates": { "cites": [ "the-chair-and-who-gets-to-sit-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": [ "3.6", "27", "11/12", "8/9", "24", "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 the nine paintings § {#for-the-technically-curious}. the dog is a large black Portuguese Water Dog with one bright white chest patch who is rendered taking the same nap under the same tree in every world § {#for-the-technically-curious}. the article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "the same dog, same curl, and same tucked paws remain constant across the nine paintings § {#for-the-technically-curious}. the dog is a large black Portuguese Water Dog with one bright white chest patch who is rendered taking the same nap under the same tree in every world § {#for-the-technically-curious}. the article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.909427106000294, "ttft_ms": 1034, "tokens_in": 1919, "tokens_out": 99, "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": "the 600 → 450 W cap costs the dense arm 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, this resulted in 94.6 → 92.7 tok/s per stream, a busy-window draw of 586.5 → 448.4 W, a peak temperature of 83 → 72 °C, and efficiency of 0.161 → 0.206 tok/s per watt § {#the-answer-in-one-paragraph}. the article notes that it did not measure a long-context or prefill-heavy workload, which could move the 2% either way § {#what-this-page-does-not-say}.", "served": "the 600 → 450 W cap costs the dense arm 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, this resulted in 94.6 → 92.7 tok/s per stream, a busy-window draw of 586.5 → 448.4 W, a peak temperature of 83 → 72 °C, and efficiency of 0.161 → 0.206 tok/s per watt § {#the-answer-in-one-paragraph}. the article notes that it did not measure a long-context or prefill-heavy workload, which could move the 2% either way § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.773418374001267, "ttft_ms": 1305, "tokens_in": 7066, "tokens_out": 196, "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", "83", "72", "0.161", "0.206", "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 what was left out, moved or not measured regarding the sound or the wish duration § {#numbers-so-it-isnt-just-talk}.", "served": "every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. a typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. the article does not state what was left out, moved or not measured regarding the sound or the wish duration § {#numbers-so-it-isnt-just-talk}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.087568442000702, "ttft_ms": 2872, "tokens_in": 30947, "tokens_out": 95, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "numbers-so-it-isnt-just-talk" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "numbers-so-it-isnt-just-talk" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much live traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much live traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.0201004310001736, "ttft_ms": 393, "tokens_in": 5393, "tokens_out": 89, "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 is 3.4× faster than the RTX 3090 when running the FLUX.2 klein-4B sketch artist § {#the-table-that-answers-the-question}. the article does not provide a single speed comparison for the entire art stack, though it notes that the 96 GB card is about 3.4× the 3090 and 2.7–2.9× the laptop down the resolution ladder § {#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": "the 96 GB card is 3.4× faster than the RTX 3090 when running the FLUX.2 klein-4B sketch artist § {#the-table-that-answers-the-question}. the article does not provide a single speed comparison for the entire art stack, though it notes that the 96 GB card is about 3.4× the 3090 and 2.7–2.9× the laptop down the resolution ladder § {#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}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9766292459989927, "ttft_ms": 341, "tokens_in": 4456, "tokens_out": 150, "cached_tokens": 32, "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", "96", "3.4", "3090", "2.7", "2.9", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-16", "kind": "on-page" }, { "slug": "how-a-vision-model-sees", "q": "how many tokens does an 896 px picture become, and how long does its prefill take?", "ok": true, "answer": "an 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. the article does not mention any other token counts or timings for this specific resolution § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "served": "an 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. the article does not mention any other token counts or timings for this specific resolution § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.238360494000517, "ttft_ms": 684, "tokens_in": 10022, "tokens_out": 99, "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", "199", "896", "199", "896" ], "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 at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article does not explicitly state what was left out, moved, or not measured in direct relation to this specific painter's speed § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "served": "the distilled painter is the sharpest and fastest cell in the whole second run at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article does not explicitly state what was left out, moved, or not measured in direct relation to this specific painter's speed § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.9581001090009522, "ttft_ms": 355, "tokens_in": 5221, "tokens_out": 97, "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" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-18", "kind": "on-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "the world is written in a single YAML file that is 16,705 lines § {#the-world-is-a-file}. this file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. the article does not mention any other file sizes or what was left out of the file's measurement § {#the-world-is-a-file}.", "served": "the world is written in a single YAML file that is 16,705 lines § {#the-world-is-a-file}. this file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. the article does not mention any other file sizes or what was left out of the file's measurement § {#the-world-is-a-file}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.9586402350014396, "ttft_ms": 492, "tokens_in": 5903, "tokens_out": 97, "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 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 archive like the sequence databases and the Protein Data Bank all at once § {#the-first-engine-the-archive-nobody-had-read}. the second engine involves a compression that captures a generating rule to emit entries that no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply}. structural biologists noted that these engines left out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "served": "the two engines 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 archive like the sequence databases and the Protein Data Bank all at once § {#the-first-engine-the-archive-nobody-had-read}. the second engine involves a compression that captures a generating rule to emit entries that no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply}. structural biologists noted that these engines left out how proteins pair up, how they move, and what one mutation does § {#the-first-engine-the-archive-nobody-had-read}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9939678239989007, "ttft_ms": 342, "tokens_in": 5250, "tokens_out": 157, "cached_tokens": 32, "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read", "the-second-engine-the-rooms-the-rules-imply" ], "gates": { "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read", "the-second-engine-the-rooms-the-rules-imply" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-20", "kind": "on-page" }, { "slug": "compression-is-the-objective", "q": "what does the page say a language model is, and what prize does it point to?", "ok": true, "answer": "the article states that the weights are the compression, acting as the codebook for the corpus the model was trained on § {#the-punchline}. it points to the Hutter Prize, which charges for everything including every decompressor byte counted § {#what-we-can-show-you}. the text notes that the model's own bits sit on a separate ledger line and that nothing in the next-token training loss charges for them § {#the-punchline}.", "served": "the article states that the weights are the compression, acting as the codebook for the corpus the model was trained on § {#the-punchline}. it points to the Hutter Prize, which charges for everything including every decompressor byte counted § {#what-we-can-show-you}. the text notes that the model's own bits sit on a separate ledger line and that nothing in the next-token training loss charges for them § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.146071695999126, "ttft_ms": 366, "tokens_in": 5260, "tokens_out": 98, "cached_tokens": 32, "cites": [ "the-punchline", "what-we-can-show-you" ], "gates": { "cites": [ "the-punchline", "what-we-can-show-you" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-21", "kind": "on-page" }, { "slug": "the-free-speed-wasnt-free", "q": "what was the production median before the change, and what caused the speed-up?", "ok": true, "answer": "the production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. the speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage that was running on every token § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "the production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. the speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage that was running on every token § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.4528829980008595, "ttft_ms": 441, "tokens_in": 7253, "tokens_out": 127, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "138.6", "1,982", "2026-08-15", "1.1", "1.0" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-22", "kind": "on-page" }, { "slug": "the-compressed-photograph", "q": "how much slower was the uncompressed original than the compressed build?", "ok": true, "answer": "the uncompressed original was 3.4× the speed of the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. the 8-bit copy was 28% slower in tokens per second than the q4 build § {#the-same-brain-at-two-compressions}. the article does not explicitly state the exact speed difference between the uncompressed original and the q4 build, though it notes the original is slower § {#the-same-question-down-the-whole-ladder}. the text notes it does not measure perplexity § {#what-this-page-does-not-say}.", "served": "the uncompressed original was 3.4× the speed of the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. the 8-bit copy was 28% slower in tokens per second than the q4 build § {#the-same-brain-at-two-compressions}. the article does not explicitly state the exact speed difference between the uncompressed original and the q4 build, though it notes the original is slower § {#the-same-question-down-the-whole-ladder}. the text notes it does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.479694992998702, "ttft_ms": 810, "tokens_in": 8235, "tokens_out": 140, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "cites_dropped": [], "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", "8", "28", "4", "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}, and the two numbers in a model name are the payroll and the meeting § {#the-tag-with-two-numbers}. the article notes that it does not measure the latency trade-off of streaming experts from system RAM § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an} and does not measure any big cloud models § {#what-this-page-does-not-say}.", "served": "the true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}, and the two numbers in a model name are the payroll and the meeting § {#the-tag-with-two-numbers}. the article notes that it does not measure the latency trade-off of streaming experts from system RAM § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an} and does not measure any big cloud models § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.2844454049991327, "ttft_ms": 735, "tokens_in": 7434, "tokens_out": 126, "cached_tokens": 32, "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an", "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": [ "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 since the text already exists, whereas writing is serial because the answer does not yet exist § {#the-mystery-stated-honestly}. the article does not say what the ratio is for all workloads, only that it is forty-to-one for this specific workload on this card § {#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 since the text already exists, whereas writing is serial because the answer does not yet exist § {#the-mystery-stated-honestly}. the article does not say what the ratio is for all workloads, only that it is forty-to-one for this specific workload on this card § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.0958649620006327, "ttft_ms": 863, "tokens_in": 5292, "tokens_out": 107, "cached_tokens": 32, "cites": [ "a-measurement-from-our-own-card", "the-mystery-stated-honestly", "what-this-page-does-not-say" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "the-mystery-stated-honestly", "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 game being asked about, picking up the edition's own rulebook and any matched correction documents to rank passages by the map of meaning § {#the-third-librarian-never-left-your-aisle}. the article does not state what was left out, moved, or not measured regarding these specific components § {#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 game being asked about, picking up the edition's own rulebook and any matched correction documents to rank passages by the map of meaning § {#the-third-librarian-never-left-your-aisle}. the article does not state what was left out, moved, or not measured regarding these specific components § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.406577493999066, "ttft_ms": 368, "tokens_in": 5673, "tokens_out": 124, "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 on all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by achieving preservation 11 of 16 against a floor of 13 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge seat's preservation floor miss is not a demonstration that the arm cannot preserve § {#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 on all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by achieving preservation 11 of 16 against a floor of 13 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge seat's preservation floor miss is not a demonstration that the arm cannot preserve § {#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": 11.78193512800135, "ttft_ms": 907, "tokens_in": 14843, "tokens_out": 151, "cached_tokens": 32, "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "gates": { "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.8", "27", "11", "16", "13" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-27", "kind": "on-page" }, { "slug": "llms-txt", "q": "did any ai crawler fetch the file in the first thirty days, and how big is the largest measured llms-full file?", "ok": true, "answer": "no AI crawler asked for the llms.txt file in the thirty days of logs measured § {#does-anyone-fetch-it}. the largest llms-full file measured weighs 30.7 MiB § {#where-the-file-came-from}. the article notes that the bench does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-bench-if-the-map-arrives-does-it-help}.", "served": "no AI crawler asked for the llms.txt file in the thirty days of logs measured § {#does-anyone-fetch-it}. the largest llms-full file measured weighs 30.7 MiB § {#where-the-file-came-from}. the article notes that the bench does not measure crawling, fetching, adoption, or agent behaviour in the wild § {#the-bench-if-the-map-arrives-does-it-help}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.580426754000655, "ttft_ms": 1244, "tokens_in": 12274, "tokens_out": 99, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "gates": { "cites": [ "does-anyone-fetch-it", "where-the-file-came-from", "the-bench-if-the-map-arrives-does-it-help" ], "cites_dropped": [], "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 handed the frozen bytes § {#the-kid} and the metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. 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 handed the frozen bytes § {#the-kid} and the metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. 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": 10.56530244699934, "ttft_ms": 6504, "tokens_in": 63362, "tokens_out": 95, "cached_tokens": 32, "cites": [ "the-kid", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-author-of-this-page-is-a-contestant-in-it" ], "gates": { "cites": [ "the-kid", "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", "2-2826", "56", "38-49" ], "figures_verbatim": false, "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 § {#the-first-promise-your-visit-stays-between-us}. this rule applies to the tour guide's notebook as well § {#the-first-promise-your-visit-stays-between-us}. 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 § {#the-first-promise-your-visit-stays-between-us}. this rule applies to the tour guide's notebook as well § {#the-first-promise-your-visit-stays-between-us}. 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": 9.984547040001416, "ttft_ms": 320, "tokens_in": 4310, "tokens_out": 96, "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 recon, write executable plans, audit and harden those plans, execute the signed plans, and draft the articles § {#the-thorough-walk}. the human operator notices the initial spark, negotiates the roster, reviews and edits the hardened plans, steers execution at checkpoints, and provides the final word on release § {#the-thorough-walk}. 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, write executable plans, audit and harden those plans, execute the signed plans, and draft the articles § {#the-thorough-walk}. the human operator notices the initial spark, negotiates the roster, reviews and edits the hardened plans, steers execution at checkpoints, and provides the final word on release § {#the-thorough-walk}. 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": 10.567834637999113, "ttft_ms": 6441, "tokens_in": 4735, "tokens_out": 120, "cached_tokens": 32, "cites": [ "the-plain-english-version", "the-thorough-walk" ], "gates": { "cites": [ "the-plain-english-version", "the-thorough-walk" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-31", "kind": "on-page" }, { "slug": "the-move", "q": "what did the median search time go from and to after the move?", "ok": true, "answer": "the median search time went from 242 ms in the laptop era to 77.5 ms in the new era § {#receipts}. 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 § {#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": 6.3605057500008115, "ttft_ms": 5515, "tokens_in": 5983, "tokens_out": 71, "cached_tokens": 32, "cites": [ "receipts", "what-moved" ], "gates": { "cites": [ "receipts", "what-moved" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "242", "77.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-32", "kind": "on-page" }, { "slug": "chair-trials", "q": "how many models and arms sat the five exams, and did the box stop serving?", "ok": true, "answer": "nine models and eleven arms sat the five chairs, and serving stayed up all day § {#the-box-and-a-disclaimer-we-keep-making-richer}. the article notes that no on-disk blob size was registered because no leg of this arc measured one § {#roster}.", "served": "nine models and eleven arms sat the five chairs, and serving stayed up all day § {#the-box-and-a-disclaimer-we-keep-making-richer}. the article notes that no on-disk blob size was registered because no leg of this arc measured one § {#roster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.933159525000519, "ttft_ms": 2200, "tokens_in": 29978, "tokens_out": 64, "cached_tokens": 32, "cites": [ "the-box-and-a-disclaimer-we-keep-making-richer", "roster" ], "gates": { "cites": [ "the-box-and-a-disclaimer-we-keep-making-richer", "roster" ], "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 August arrivals' warmest voice was the one model that invented names for the drowned diver, twice § {#floor-1-canon}. the article does not state what happened to that specific model at the cove's gate § {#the-verdict}.", "served": "the August arrivals' warmest voice was the one model that invented names for the drowned diver, twice § {#floor-1-canon}. the article does not state what happened to that specific model at the cove's gate § {#the-verdict}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.388936305000243, "ttft_ms": 2468, "tokens_in": 16350, "tokens_out": 52, "cached_tokens": 32, "cites": [ "floor-1-canon", "the-verdict" ], "gates": { "cites": [ "floor-1-canon", "the-verdict" ], "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 every sealed round of the chair trials and the voice addendum § {#vendors}. the widest cross-vendor gap on any arm is 0.178 § {#vendors}. as a note, the cloud judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "served": "four rival labs re-judged every sealed round of the chair trials and the voice addendum § {#vendors}. the widest cross-vendor gap on any arm is 0.178 § {#vendors}. as a note, the cloud judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.488534553000136, "ttft_ms": 662, "tokens_in": 10010, "tokens_out": 69, "cached_tokens": 32, "cites": [ "vendors", "boundary" ], "gates": { "cites": [ "vendors", "boundary" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.178" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-35", "kind": "on-page" }, { "slug": "august-arrivals", "q": "how many models landed that week, and what share broke the response contract?", "ok": true, "answer": "four models arrived that week, and all four broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. the failure rates for these models were 16.3%, 51.2%, 55.8%, and 62.8% § {#exam-one-the-judge-chair}. olmo 3.1 32B Think was an arm that never ran the voice probe, and the reason why it was left off is a part the authors cannot receipt § {#exam-two-the-narrators-chair}.", "served": "four models arrived that week, and all four broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. the failure rates for these models were 16.3%, 51.2%, 55.8%, and 62.8% § {#exam-one-the-judge-chair}. olmo 3.1 32B Think was an arm that never ran the voice probe, and the reason why it was left off is a part the authors cannot receipt § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.471168949999992, "ttft_ms": 910, "tokens_in": 10941, "tokens_out": 128, "cached_tokens": 32, "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "gates": { "cites": [ "exam-one-the-judge-chair", "exam-two-the-narrators-chair" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "10", "16.3", "51.2", "55.8", "62.8", "3.1", "32" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-36", "kind": "on-page" }, { "slug": "seat-trials", "q": "what are the kill-recall and preservation floors a model must clear?", "ok": true, "answer": "A model must achieve a kill-recall ≥ 23/27 and a preservation ≥ 13/16 § {#the-instrument}. These floors are written down before any model runs and each binds on its own § {#the-instrument}. Note that the article mentions one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "served": "A model must achieve a kill-recall ≥ 23/27 and a preservation ≥ 13/16 § {#the-instrument}. These floors are written down before any model runs and each binds on its own § {#the-instrument}. Note that the article mentions one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.047208440000759, "ttft_ms": 856, "tokens_in": 6992, "tokens_out": 75, "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 there were 24 distinct model tags across 40 scored runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three record sets, unchanged § {#the-method-limits-first}. as a note, the article mentions that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "the article states that there were 24 distinct model tags across 40 scored runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three record sets, unchanged § {#the-method-limits-first}. as a note, the article mentions 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": 3.840654593999716, "ttft_ms": 1023, "tokens_in": 10114, "tokens_out": 121, "cached_tokens": 32, "cites": [ "provenance-4cae43", "the-method-limits-first", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "gates": { "cites": [ 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