{ "schema_version": "1.0", "run_utc": "2026-09-09T18:40:24Z", "arm": "cold", "concurrency": 1, "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": 39, "off_page": 21, "total": 60 } }, "results": { "on_page_total": 39, "on_page_answered": 32, "non_verbatim_figures": 2, "uncited": 0, "off_page_total": 21, "off_page_abstained": 9, "off_page_abstained_by_gate": 3, "off_page_abstained_by_model": 6, "on_page_abstained": 7, "off_page_cited": 18, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 0.97, "p95_seconds": 7.257 }, "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 seven seats from outside families, six of which read, with every reply being held to a standard of speaking in the town's own tongue and using only facts present in the context § {#the-chair-and-who-sat-it-before}. the article notes that the reasoning before the GLM 5.3 replies 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 seven seats from outside families, six of which read, with every reply being held to a standard of speaking in the town's own tongue and using only facts present in the context § {#the-chair-and-who-sat-it-before}. the article notes that the reasoning before the GLM 5.3 replies was counted and withheld § {#what-changed-since-the-open-call}.", "abstained": false, "abstain_source": null, "seconds": 10.906321829000262, "ttft_ms": 9692, "tokens_in": 82427, "tokens_out": 117, "cached_tokens": 32, "cites": [ "the-bill", "the-chair-and-who-sat-it-before", "what-changed-since-the-open-call" ], "gates": { "cites": [ "the-bill", "the-chair-and-who-sat-it-before", "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 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, and a cluster bootstrap over those 36 cases puts 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 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, and a cluster bootstrap over those 36 cases puts 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, "seconds": 2.7738740600007077, "ttft_ms": 1762, "tokens_in": 26568, "tokens_out": 141, "cached_tokens": 0, "cites": [ 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"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, "seconds": 0.5733014380002714, "ttft_ms": 198, "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 one of the lab's own written ones, kept in the page § {#is-this-ai}. 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 § {#is-this-ai}. the answers are one of the lab's own written ones, kept in the page § {#is-this-ai}. nothing outside the twenty-seven gets an invented answer § {#the-beat-lab}.", "abstained": false, "abstain_source": null, "seconds": 0.6664737720002449, "ttft_ms": 299, "tokens_in": 4465, "tokens_out": 70, "cached_tokens": 32, "cites": [ "is-this-ai" ], "gates": { "cites": [ "is-this-ai" ], "cites_dropped": [ "the-beat-lab" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "cite: 1 cite(s) not in this page's anchors: the-beat-lab" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-beat-lab" ] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-04", "kind": "on-page" }, { "slug": "ten-minutes-with-living-artists", "q": "how many tracks and releases went into the adapter, and what did the one listener prefer?", "ok": true, "answer": "the adapter was trained on 159 tracks from 41 releases § {#forty-one-releases-licence-by-licence}. the one listener preferred the one-artist adapter for the request `Schwerelos (original mix)` but preferred the non-adapter version for `Basement Loop 7` § {#one-artist-instead-of-a-tag}. the article does not measure whether the untouched model is any good at this genre § {#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 for the request `Schwerelos (original mix)` but preferred the non-adapter version for `Basement Loop 7` § {#one-artist-instead-of-a-tag}. the article does not measure whether the untouched model is any good at this genre § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "seconds": 1.4181192659998487, "ttft_ms": 765, "tokens_in": 12906, "tokens_out": 109, "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" ], "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 clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}. as a note, the raw renders sit in audio/ and are what every measured number on this page was read off § {#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 clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}. as a note, the raw renders sit in audio/ and are what every measured number on this page was read off § {#how-to-listen}.", "abstained": false, "abstain_source": null, "seconds": 1.8567838389999451, "ttft_ms": 822, "tokens_in": 14176, "tokens_out": 170, "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 and the Bach adapter took 8 minutes 23 seconds to train § {#sousa-a-hundred-and-six-marches} § {#bach-the-pianist-who-freed-her-own-recordings}. the article does not state what was left out, moved, or not measured in relation to these specific training times § {#what-we-did-not-measure}.", "served": "the Sousa adapter took 14 minutes 36 seconds and the Bach adapter took 8 minutes 23 seconds to train § {#sousa-a-hundred-and-six-marches} § {#bach-the-pianist-who-freed-her-own-recordings}. the article does not state what was left out, moved, or not measured in relation to these specific training times § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "seconds": 0.862713194999742, "ttft_ms": 332, "tokens_in": 5430, "tokens_out": 98, "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 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 notes that it did not measure whether a smaller GPU could have run this training § {#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 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, "seconds": 0.6424539520003236, "ttft_ms": 274, "tokens_in": 3580, "tokens_out": 71, "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}. the article notes that the judge exam, the assistant exam, decode speed, and the filing cabinet could not honestly be read on this path § {#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}. the article notes that the judge exam, the assistant exam, decode speed, and the filing cabinet could not honestly be read on this path § {#the-ledger-of-what-did-not-read}.", "abstained": false, "abstain_source": null, "seconds": 1.5934487200001968, "ttft_ms": 376, "tokens_in": 6263, "tokens_out": 225, "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": false, "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 it did not measure battery-vs-plugged behavior for the gpu-server half § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "served": "this page doesn't say. the nearest it gets is § {#two-hours-at-12-tok-s-the-test-that-named-the-page}; The outside judges — four rival labs re-check our work covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 1.2217156200003956, "ttft_ms": 654, "tokens_in": 10856, "tokens_out": 95, "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": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "12", "12", "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 qwen3.6:27b model, which was RANKED on the 96 GB card, cleared both judge floors and was RANKED again on the 24 GB card § {#the-chair-and-who-gets-to-sit-in-it} § {#what-the-battery-was-for-the-instrument-travels}. the article notes that while the kill-recall count was identical, the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "served": "the qwen3.6:27b model, which was RANKED on the 96 GB card, cleared both judge floors and was RANKED again on the 24 GB card § {#the-chair-and-who-gets-to-sit-in-it} § {#what-the-battery-was-for-the-instrument-travels}. the article notes that while the kill-recall count was identical, the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "abstained": false, "abstain_source": null, "seconds": 1.2583463569999367, "ttft_ms": 486, "tokens_in": 8389, "tokens_out": 136, "cached_tokens": 32, "cites": [ "the-chair-and-who-gets-to-sit-in-it", "what-the-battery-was-for-the-instrument-travels" ], "gates": { "cites": [ "the-chair-and-who-gets-to-sit-in-it", "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", "96", "24" ], "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 stay the same across the nine paintings § {#for-the-technically-curious}. the dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. the article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "the same dog, same curl, and same tucked paws stay the same across the nine paintings § {#for-the-technically-curious}. the dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. the article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "seconds": 0.6046001139993677, "ttft_ms": 182, "tokens_in": 1919, "tokens_out": 86, "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, the throughput moved from 94.6 → 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. the article notes that a long-context or prefill-heavy workload shifts the compute/bandwidth balance and 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, the throughput moved from 94.6 → 92.7 tok/s per stream § {#the-answer-in-one-paragraph}. the article notes that a long-context or prefill-heavy workload shifts the compute/bandwidth balance and could move the 2% either way § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "seconds": 1.1963328040001215, "ttft_ms": 409, "tokens_in": 7066, "tokens_out": 141, "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", "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 is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}, and 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 in relation to these specific details.", "served": "every sound is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}, and 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 in relation to these specific details.", "abstained": false, "abstain_source": null, "seconds": 2.8336964529999022, "ttft_ms": 2181, "tokens_in": 30947, "tokens_out": 78, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist was streaming tokens at the same time, the developer took 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much traffic there was § {#what-we-did-not-measure-said-out-loud}.", "served": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist was streaming tokens at the same time, the developer took 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much traffic there was § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "seconds": 0.7912428130002809, "ttft_ms": 333, "tokens_in": 5393, "tokens_out": 85, "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 for the FLUX.2 klein-4B sketch artist § {#the-table-that-answers-the-question}. this model is described as the game's own sketch artist § {#the-table-that-answers-the-question}. the article does not measure performance on 8–12 GB cards § {#three-findings-we-didnt-order}.", "served": "the 96 GB card was 3.4× faster than the RTX 3090 for the FLUX.2 klein-4B sketch artist § {#the-table-that-answers-the-question}. this model is described as the game's own sketch artist § {#the-table-that-answers-the-question}. the article does not measure performance on 8–12 GB cards § {#three-findings-we-didnt-order}.", "abstained": false, "abstain_source": null, "seconds": 0.8228091420005512, "ttft_ms": 298, "tokens_in": 4456, "tokens_out": 101, "cached_tokens": 32, "cites": [ "the-table-that-answers-the-question", "three-findings-we-didnt-order" ], "gates": { "cites": [ "the-table-that-answers-the-question", "three-findings-we-didnt-order" ], "cites_dropped": [], "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", "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": false, "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 measurements for this specific size § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "served": "this page doesn't say. the nearest it gets is § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}; qwen3.8:27b across four house benches: one seat filled, one floor missed covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 1.1852752610002426, "ttft_ms": 614, "tokens_in": 10022, "tokens_out": 96, "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": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "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, recording 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "served": "the distilled painter is the sharpest and fastest cell in the whole second run, recording 0.62 s at 4 steps § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "abstained": false, "abstain_source": null, "seconds": 0.8113516889998209, "ttft_ms": 333, "tokens_in": 5221, "tokens_out": 90, "cached_tokens": 32, "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it", "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it", "how-to-check-our-work-and-see-it-live" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.62", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-18", "kind": "on-page" }, { "slug": "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 one YAML file consisting of 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 this specific count § {#the-world-is-a-file}.", "served": "the world is written in one YAML file consisting of 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 this specific count § {#the-world-is-a-file}.", "abstained": false, "abstain_source": null, "seconds": 0.8759618919993954, "ttft_ms": 358, "tokens_in": 5903, "tokens_out": 94, "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": false, "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 all at once, such as co-evolution fingerprints or a rule about which shapes kill bacteria § {#the-first-engine-the-archive-nobody-had-read}. the second engine involves a compression that captures a generating rule to emit entries no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply}. structural biologists noted that for single proteins, the problem was solved, but they also listed what that left out, such as how proteins pair up, how they move, and what one mutation does § {#since-1994-a-contest-has-graded-protein-structure-predictions}.", "served": "this page doesn't say. the nearest it gets is § {#two-kinds-of-there-all-along}; Everyone on the payroll, three at the table — dense models, mixtures of experts, and active weights covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 1.3103907810000237, "ttft_ms": 335, "tokens_in": 5250, "tokens_out": 183, "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": [ "since-1994-a-contest-has-graded-protein-structure-predictions" ], "new_noun_tokens": [ "since-1994-a-contest-has-graded-protein-structure-predictions" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "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", "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "since-1994-a-contest-has-graded-protein-structure-predictions" ], "new_noun_tokens_withheld": 0, "cites_dropped": [ "since-1994-a-contest-has-graded-protein-structure-predictions" ] }, "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 a corpus § {#the-punchline}. it points to the Hutter Prize, which charges for everything including self-extracting entries, every decompressor byte counted, fixed time and memory, and no outside data § {#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 are the compression, acting as the codebook for a corpus § {#the-punchline}. it points to the Hutter Prize, which charges for everything including self-extracting entries, every decompressor byte counted, fixed time and memory, and no outside data § {#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, "seconds": 0.9102826019998247, "ttft_ms": 335, "tokens_in": 5260, "tokens_out": 107, "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 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 caused the sampler to skip the penalties stage § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "the production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. the speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which caused the sampler to skip the penalties stage § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "seconds": 1.1172214810003425, "ttft_ms": 422, "tokens_in": 7253, "tokens_out": 125, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-two-line-commit", "the-part-that-isnt-about-speed" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "138.6", "1,982", "2026-08-15", "1.1", "1.0" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-22", "kind": "on-page" }, { "slug": "the-compressed-photograph", "q": "how much slower was the uncompressed original than the compressed build?", "ok": true, "answer": "the uncompressed original was 3.4× slower than the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. the article does not explicitly state the speed difference between the uncompressed original and the q4_k_m build, though it notes the q8 build is 28% slower than the q4 build § {#the-same-brain-at-two-compressions}. the text 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}. the article does not explicitly state the speed difference between the uncompressed original and the q4_k_m build, though it notes the q8 build is 28% slower than the q4 build § {#the-same-brain-at-two-compressions}. the text notes that it does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "seconds": 1.1521137669997188, "ttft_ms": 481, "tokens_in": 8235, "tokens_out": 117, "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", "4", "8", "28", "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, "seconds": 1.137488217000282, "ttft_ms": 435, "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, as the model can process every token in the prompt at the same time since the text already exists § {#reading-is-a-group-photo}. writing is slower because it is serial, as the model must choose 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 state that the forty-to-one ratio is a constant § {#what-this-page-does-not-say}.", "served": "the median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. reading is faster because it is parallel, as the model can process every token in the prompt at the same time since the text already exists § {#reading-is-a-group-photo}. 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 state that the forty-to-one ratio is a constant § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "seconds": 1.07785575699927, "ttft_ms": 335, "tokens_in": 5292, "tokens_out": 140, "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 game being asked about, picking up the edition's own rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. the article does not state what was left out, moved, or not measured regarding the embedder or the third librarian § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "served": "the embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. the third librarian works only the aisle of the game being asked about, picking up the edition's own rulebook and any matched correction documents to rank passages by meaning § {#the-third-librarian-never-left-your-aisle}. the article does not state what was left out, moved, or not measured regarding the embedder or the third librarian § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": null, "seconds": 1.0386640830001852, "ttft_ms": 353, "tokens_in": 5673, "tokens_out": 125, "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} but failed the judge seat by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge seat's results are not independently checkable because they are lane data § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "served": "the qwen3.8:27b model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} but failed the judge seat by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge seat's results are not independently checkable because they are lane data § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "abstained": false, "abstain_source": null, "seconds": 1.7587842070006445, "ttft_ms": 884, "tokens_in": 14843, "tokens_out": 145, "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" ], "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 measurement of the largest file is an estimate rather than a measured count every other token figure on the page carries § {#where-the-file-came-from}.", "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 measurement of the largest file is an estimate rather than a measured count every other token figure on the page carries § {#where-the-file-came-from}.", "abstained": false, "abstain_source": null, "seconds": 1.3586254009996992, "ttft_ms": 741, "tokens_in": 12274, "tokens_out": 95, "cached_tokens": 32, "cites": [ "does-anyone-fetch-it", "where-the-file-came-from" ], "gates": { "cites": [ "does-anyone-fetch-it", "where-the-file-came-from" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "30.7" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-28", "kind": "on-page" }, { "slug": "the-open-call", "q": "how many models were handed the frozen moment, and what did the round cost?", "ok": false, "answer": "twenty arms were handed the frozen bytes § {#the-kid} and the metered spend 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": "this page doesn't say. the nearest it gets is § {#the-words-this-page-leans-on}; Three New Voices at the Narrator's Chair covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 7.276169416999437, "ttft_ms": 6325, "tokens_in": 63362, "tokens_out": 92, "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": [ "2-2826-over-56-metered-calls-against-38-49-of-caps" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": true, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "figure: 2 figure(s) absent", "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "2-2826-over-56-metered-calls-against-38-49-of-caps" ], "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 notebooks were set to keep their lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "served": "every notebook on the server now keeps thirty days § {#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 notebooks were set to keep their lines for up to a hundred years § {#the-first-promise-your-visit-stays-between-us}.", "abstained": false, "abstain_source": null, "seconds": 0.7967379219999202, "ttft_ms": 353, "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 bench with checkpoints, and draft the article § {#the-thorough-walk}. the human operator notices the initial spark, negotiates the roster, shapes and signs off on the plan, steers execution, and provides the final word for 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 bench with checkpoints, and draft the article § {#the-thorough-walk}. the human operator notices the initial spark, negotiates the roster, shapes and signs off on the plan, steers execution, and provides the final word for 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, "seconds": 0.9474321779998718, "ttft_ms": 315, "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, "seconds": 0.7539189600001919, "ttft_ms": 367, "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, though only five of the eleven arms sat all five chairs § {#roster}. serving stayed up all day § {#what-the-day-actually-settled}. the article notes that no on-disk blob size was measured § {#roster}.", "served": "nine models and eleven arms sat the five chairs, though only five of the eleven arms sat all five chairs § {#roster}. serving stayed up all day § {#what-the-day-actually-settled}. the article notes that no on-disk blob size was measured § {#roster}.", "abstained": false, "abstain_source": null, "seconds": 2.5677354640001795, "ttft_ms": 2086, "tokens_in": 29978, "tokens_out": 62, "cached_tokens": 32, "cites": [ "roster", "what-the-day-actually-settled" ], "gates": { "cites": [ "roster", "what-the-day-actually-settled" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-33", "kind": "on-page" }, { "slug": "cove-voice-head-to-head", "q": "what happened to the August class's best voice at the cove's gate?", "ok": false, "answer": "the August arrivals' warmest voice was the one model that invented names for the drowned diver, twice § {#floor-1-canon}. this model was a charming narrator who invents canon, which the article states is a worse narrator than a stiff one who does not § {#floor-1-canon}. the article does not mention what happened to this specific model at the cove's gate § {#the-verdict}.", "served": "this page doesn't say. the nearest it gets is § {#the-verdict}; The August arrivals — the fresh class sits the house exams covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 1.522243585999604, "ttft_ms": 972, "tokens_in": 16350, "tokens_out": 86, "cached_tokens": 32, "cites": [ "floor-1-canon", "the-verdict" ], "gates": { "cites": [ "floor-1-canon", "the-verdict" ], "cites_dropped": [], "new_noun_tokens": [ "floor-1-canon" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "floor-1-canon" ], "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}. the article notes that the cloud judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "served": "four rival labs re-judged every sealed round of the chair trials and the voice addendum § {#vendors}. the widest cross-vendor gap on any arm is 0.178 § {#vendors}. the article notes that the cloud judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "abstained": false, "abstain_source": null, "seconds": 1.0293036550001489, "ttft_ms": 618, "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 fresh models landed 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}. olmo 3.1 32b think was an arm that never ran the voice probe, and the article notes it is a gap in their paperwork rather than a result that was quietly set aside § {#exam-two-the-narrators-chair}.", "served": "four fresh models landed 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}. olmo 3.1 32b think was an arm that never ran the voice probe, and the article notes it is a gap in their paperwork rather than a result that was quietly set aside § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "seconds": 1.4635497419994863, "ttft_ms": 666, "tokens_in": 10941, "tokens_out": 136, "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}. the article notes that one further 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}. the article notes that one further candidate was blocked at the billing probe and never ran § {#the-instrument}.", "abstained": false, "abstain_source": null, "seconds": 0.8208208930000183, "ttft_ms": 407, "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": false, "answer": "the article states that 24 distinct model tags were tried across 40 scored runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three different record sets § {#the-method-limits-first}. as a note, the article mentions that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "this page doesn't say. the nearest it gets is § {#the-method-limits-first}; Three New Voices at the Narrator's Chair covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 1.2724226999998791, "ttft_ms": 566, "tokens_in": 10114, "tokens_out": 120, "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": [ "provenance-4cae43", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": true, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "figure: 1 figure(s) absent", "new noun: 2 token(s) the article does not carry" ], "new_noun_tokens": [ "provenance-4cae43", "the-2026-08-field-six-arms-on-the-96g-workstation-blind" ], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "24", "40", "4", "43", "9.0", "7.0", "6.2", "2026-08", "2026-08", "96" ], "figures_verbatim": false, "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": false, "answer": "The page states that each row carries the licence, the day it was last read in full, what that licence asks of us, and what it permits you § {#how-to-read-this-page}. The method for each read is named once per table so that the reader can repeat the read themselves § {#how-to-read-this-page}. As a note, the article mentions that the 12b tag ships the Apache body without the appendix and that the qwen3-vl ships the licence twice § {#the-brains-chat-vision-memory-all-read-2026-08-11}.", "served": "this page doesn't say. the nearest it gets is § {#how-to-read-this-page}; The open call — a kid, an elder, and a tired parent walk into the cove covers it more directly.", "abstained": true, "abstain_source": "gate", "seconds": 1.6791670979991977, "ttft_ms": 896, "tokens_in": 8388, "tokens_out": 135, "cached_tokens": 32, "cites": [ "how-to-read-this-page", "the-brains-chat-vision-memory-all-read-2026-08-11" ], "gates": { "cites": [ "how-to-read-this-page", "the-brains-chat-vision-memory-all-read-2026-08-11" ], "cites_dropped": [], "new_noun_tokens": [ "the-brains-chat-vision-memory-all-read-2026-08-11" ], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": true, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [ "new noun: 1 token(s) the article does not carry" ], "new_noun_tokens": [ "the-brains-chat-vision-memory-all-read-2026-08-11" ], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "12", "3", "2026-08-11" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-39", "kind": "on-page" }, { "slug": "what-150-watts-buys", "q": "what does a large cloud provider charge for the same work?", "ok": true, "answer": "the article does not answer the question § {#the-dial-and-who-notices}.", "served": "this page doesn't say. the nearest it gets is § {#the-dial-and-who-notices}; 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How a Vision Model Sees: Eyes for a Machine That Reads covers it more directly.", "abstained": true, "abstain_source": "model", "seconds": 0.5394639699998152, "ttft_ms": 382, "tokens_in": 6255, "tokens_out": 27, "cached_tokens": 32, "cites": [ "a-different-kind-of-row" ], "gates": { "cites": [ "a-different-kind-of-row" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-20", "kind": "off-page" }, { "slug": "seat-trials", "q": "how many models will sit this exam next year?", "ok": true, "answer": "the article does not answer how many models will sit this exam next year § {#the-instrument}.", "served": "this page doesn't say. the nearest it gets is § {#the-instrument}; 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