{ "schema_version": "1.1", "instrument": { "figures_read_from": "cite-cut prose (gates.prose_of) since 2026-09-09", "warm_arm_walk": "per page, one warm immediately before that page's own questions, since 2026-09-09", "not_comparable_with": "reports whose schema_version is 1.0" }, "run_utc": "2026-09-09T20:18:38Z", "arm": "cold", "concurrency": 6, "effective_concurrency": 6, "seat": { "url_host_withheld": true, "model": "gemma-4-26b-a4b-fp8", "class": "gemma-class", "seed": "no --seed flag sent — 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": 41, "non_verbatim_figures": 0, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 2, "off_page_abstained_by_model": 19, "off_page_flagged_but_not_verbatim": 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{#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 metered total are against a registered estimate of $0.70 and a ceiling of $0.75 § {#the-bill}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.682984463999674, "ttft_ms": 12543, "tokens_in": 82427, "tokens_out": 118, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.7652", "0.70", "0.75" ], "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 puts that rate at [0.444, 0.638], which 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 puts that rate at [0.444, 0.638], which 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": 14.758741752999413, "ttft_ms": 3072, "tokens_in": 26568, "tokens_out": 140, "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 other subjects and other worlds were 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 other subjects and other worlds were tried along the way and set aside by eye § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 13.092866122000487, "ttft_ms": 320, "tokens_in": 2635, "tokens_out": 64, "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": 13.597661134999726, "ttft_ms": 405, "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 § {#a-genre-not-a-composer}. The one listener, who was unblinded, stated that the only adapter they heard was the one that decided the rest of the night § {#the-ear}. The article does not state what the listener specifically preferred § {#the-ear}. The text notes that 63 files running twenty minutes or longer were thrown out § {#a-genre-not-a-composer}, eight tracks were kept on disk and out of training § {#forty-one-releases-licence-by-licence}, and it was never measured whether an unlevelled corpus taught the adapter a level rather than a style § {#what-we-did-not-measure}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener, who was unblinded, stated that the only adapter they heard was the one that decided the rest of the night § {#the-ear}. The article does not state what the listener specifically preferred § {#the-ear}. The text notes that 63 files running twenty minutes or longer were thrown out § {#a-genre-not-a-composer}, eight tracks were kept on disk and out of training § {#forty-one-releases-licence-by-licence}, and it was never measured whether an unlevelled corpus taught the adapter a level rather than a style § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 14.846322020001026, "ttft_ms": 1652, "tokens_in": 12906, "tokens_out": 164, "cached_tokens": 32, "cites": [ "a-genre-not-a-composer", "the-ear", "forty-one-releases-licence-by-licence", "what-we-did-not-measure" ], "gates": { "cites": [ "a-genre-not-a-composer", "the-ear", "forty-one-releases-licence-by-licence", "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", "63" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-05", "kind": "on-page" }, { "slug": "listen-for-yourself", "q": "how many renders are on the page, and what was done to their loudness?", "ok": true, "answer": "there are sixty-three players on the page § {#how-to-listen}. the 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}. 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 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, "abstain_section": null, "seconds": 14.808222101000865, "ttft_ms": 1010, "tokens_in": 14176, "tokens_out": 169, "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 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 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 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, "abstain_section": null, "seconds": 1.8847802299987961, "ttft_ms": 359, "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 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 does not state whether a smaller GPU could have run this training § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.217994713000735, "ttft_ms": 299, "tokens_in": 3580, "tokens_out": 68, "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": 6.445243186999505, "ttft_ms": 485, "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 § {#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 § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.1870316340009595, "ttft_ms": 1575, "tokens_in": 10856, "tokens_out": 91, "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" ], "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 § {#what-the-battery-was-for-the-instrument-travels}. this result was considered TIED because the preservation delta of one item is under the pre-registered two-item tie band § {#what-the-battery-was-for-the-instrument-travels}. the article notes that the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "served": "the ranked model qwen3.6:27b landed at kill-recall 11/12 and preservation 8/9 § {#what-the-battery-was-for-the-instrument-travels}. this result was considered TIED because the preservation delta of one item is under the pre-registered two-item tie band § {#what-the-battery-was-for-the-instrument-travels}. the article notes that the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 5.366149367000617, "ttft_ms": 973, "tokens_in": 8389, "tokens_out": 139, "cached_tokens": 32, "cites": [ "what-the-battery-was-for-the-instrument-travels" ], "gates": { "cites": [ "what-the-battery-was-for-the-instrument-travels" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.6", "27", "11/12", "8/9" ], "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, "abstain_section": null, "seconds": 4.01796074000049, "ttft_ms": 360, "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 model 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. the article notes that it did not measure the cost for a long-context or prefill-heavy workload, nor did it measure the regime where the MoE model might hit the ceiling § {#what-this-page-does-not-say}.", "served": "the 600 → 450 W cap costs the dense model 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. the article notes that it did not measure the cost for a long-context or prefill-heavy workload, nor did it measure the regime where the MoE model might hit the ceiling § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.536099498000112, "ttft_ms": 643, "tokens_in": 7066, "tokens_out": 111, "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" ], "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 on their device § {#the-sound-is-made-on-your-device}. a typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. the article does not mention how long the sound takes to be built, only how long the wish takes § {#what-happens-when-you-ask-the-genie}.", "served": "every sound is synthesised by the user's own browser on their device § {#the-sound-is-made-on-your-device}. a typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. the article does not mention how long the sound takes to be built, only how long the wish takes § {#what-happens-when-you-ask-the-genie}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.228490843001055, "ttft_ms": 3112, "tokens_in": 30947, "tokens_out": 96, "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 is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article does not specify what was left out, moved, or not measured beyond noting that the run did not instrument how much live 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 is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article does not specify what was left out, moved, or not measured beyond noting that the run did not instrument how much live traffic there was § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.1245127490001323, "ttft_ms": 355, "tokens_in": 5393, "tokens_out": 101, "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}. for the 512×512 live default sketch size, the 96 GB card's median is 0.26 s compared to the 3090's 0.88 s § {#the-sketch-ladder-the-number-the-game-lives-on}. the article notes that it did not test 8–12 GB cards § {#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}. for the 512×512 live default sketch size, the 96 GB card's median is 0.26 s compared to the 3090's 0.88 s § {#the-sketch-ladder-the-number-the-game-lives-on}. the article notes that it did not test 8–12 GB cards § {#three-findings-we-didnt-order}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.16029145200082, "ttft_ms": 349, "tokens_in": 4456, "tokens_out": 144, "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", "512", "512", "96", "0.26", "3090", "0.88", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-16", "kind": "on-page" }, { "slug": "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 tokens or prefill times that were left out, moved, or not measured § {#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 tokens or prefill times that were left out, moved, or not measured § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.986050884001088, "ttft_ms": 645, "tokens_in": 10022, "tokens_out": 105, "cached_tokens": 32, "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "gates": { "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "896", "199", "184" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "the distilled painter is the sharpest and fastest cell in the whole second run at 0.62 s § {#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 at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article notes that the published pages serve compressed derivatives which add a small floor to every number § {#how-to-check-our-work-and-see-it-live}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6125348770001438, "ttft_ms": 614, "tokens_in": 5221, "tokens_out": 85, "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" ], "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 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}. no scores or instrumentation were used for this walk § {#the-walk-has-three-stations}.", "served": "the world is written in one 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}. no scores or instrumentation were used for this walk § {#the-walk-has-three-stations}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.002545277999161, "ttft_ms": 378, "tokens_in": 5903, "tokens_out": 85, "cached_tokens": 32, "cites": [ "the-world-is-a-file" ], "gates": { "cites": [ "the-world-is-a-file" ], "cites_dropped": [ "the-walk-has-three-stations" ], "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-walk-has-three-stations" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "the-walk-has-three-stations" ] }, "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": 4.1472392579999, "ttft_ms": 353, "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 self-extracting entries and every decompressor byte counted § {#what-we-can-show-you}. the text notes that the model's own bits, or weights, sit on a separate ledger line and are not charged in the next-token training loss § {#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 self-extracting entries and every decompressor byte counted § {#what-we-can-show-you}. the text notes that the model's own bits, or weights, sit on a separate ledger line and are not charged in the next-token training loss § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.4095376419991226, "ttft_ms": 510, "tokens_in": 5260, "tokens_out": 106, "cached_tokens": 32, "cites": [ "the-punchline", "what-we-can-show-you" ], "gates": { "cites": [ "the-punchline", "what-we-can-show-you" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-21", "kind": "on-page" }, { "slug": "the-free-speed-wasnt-free", "q": "what was the production median before the change, and what caused the speed-up?", "ok": true, "answer": "the production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. the speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage from the sampler pipeline § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "the production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. the speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which removed a penalties stage from the sampler pipeline § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.486364857000808, "ttft_ms": 617, "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 provide a direct comparison of the uncompressed original's speed against the q4_k_m build, though it notes the q8 build was 28% slower than the q4 build § {#the-same-brain-at-two-compressions}. the text notes 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 provide a direct comparison of the uncompressed original's speed against the q4_k_m build, though it notes the q8 build was 28% slower than the q4 build § {#the-same-brain-at-two-compressions}. the text notes it does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.3743530480005575, "ttft_ms": 877, "tokens_in": 8235, "tokens_out": 118, "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 the performance of 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 the performance of big cloud models § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.096330972000942, "ttft_ms": 448, "tokens_in": 7434, "tokens_out": 128, "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, "abstain_section": null, "seconds": 3.115074810000806, "ttft_ms": 570, "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 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": 8.797345065000627, "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 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 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": 11.1062569730002, "ttft_ms": 964, "tokens_in": 14843, "tokens_out": 150, "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": 8.502886103000492, "ttft_ms": 1380, "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-words-this-page-leans-on}.", "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-words-this-page-leans-on}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 9.76808780400097, "ttft_ms": 6530, "tokens_in": 63362, "tokens_out": 86, "cached_tokens": 32, "cites": [ "the-kid", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-words-this-page-leans-on" ], "gates": { "cites": [ "the-kid", "2-2826-over-56-metered-calls-against-38-49-of-caps", "the-words-this-page-leans-on" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "2.2826" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-29", "kind": "on-page" }, { "slug": "where-your-question-goes", "q": "how long does every notebook on the server keep its entries?", "ok": true, "answer": "every notebook on the server now keeps thirty days instead of a century § {#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}. a nightly sweep runs to hold this thirty days limit § {#the-first-promise-your-visit-stays-between-us}.", "served": "every notebook on the server now keeps thirty days instead of a century § {#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}. a nightly sweep runs to hold this thirty days limit § {#the-first-promise-your-visit-stays-between-us}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 9.183996473000661, "ttft_ms": 314, "tokens_in": 4310, "tokens_out": 90, "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}. the human operator provides the spark through noticing, proposes the work, and holds the final authority to sign off on release § {#the-thorough-walk}. agents perform recon, propose additions to the roster, draft executable plans, and audit those plans through a hardening panel § {#the-thorough-walk}. the human makes the work true by deciding what is worth testing and what the numbers mean, while agents make the work bigger by testing more models and verifying more claims § {#the-thorough-walk}. the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "served": "the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. the human operator provides the spark through noticing, proposes the work, and holds the final authority to sign off on release § {#the-thorough-walk}. agents perform recon, propose additions to the roster, draft executable plans, and audit those plans through a hardening panel § {#the-thorough-walk}. the human makes the work true by deciding what is worth testing and what the numbers mean, while agents make the work bigger by testing more models and verifying more claims § {#the-thorough-walk}. the voice trial's original five questions were never persisted, so a rebuilt probe was used instead § {#the-plain-english-version}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 11.298299363999831, "ttft_ms": 405, "tokens_in": 4735, "tokens_out": 156, "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": 4.314145673999519, "ttft_ms": 379, "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}. the serving box did not stop serving, as 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}. the serving box did not stop serving, as serving stayed up all day § {#what-the-day-actually-settled}. the article notes that no on-disk blob size was measured § {#roster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.469897437000327, "ttft_ms": 2140, "tokens_in": 29978, "tokens_out": 71, "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": true, "answer": "the candidate was refused because it invented facts twice in thirteen prompts § {#the-verdict}. this refusal means there is no seat proposal, no live flip, no deployment change, and no thresholds published for a dead rung § {#the-verdict}. the article notes that the unmeasurable state of neighbouring exhibits does not appear here because every floor was measurable § {#the-verdict}.", "served": "the candidate was refused because it invented facts twice in thirteen prompts § {#the-verdict}. this refusal means there is no seat proposal, no live flip, no deployment change, and no thresholds published for a dead rung § {#the-verdict}. the article notes that the unmeasurable state of neighbouring exhibits does not appear here because every floor was measurable § {#the-verdict}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.4596360529994854, "ttft_ms": 998, "tokens_in": 16350, "tokens_out": 79, "cached_tokens": 32, "cites": [ "the-verdict" ], "gates": { "cites": [ "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 the sealed rounds § {#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 the sealed rounds § {#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, "abstain_section": null, "seconds": 2.9497279389997857, "ttft_ms": 1244, "tokens_in": 10010, "tokens_out": 60, "cached_tokens": 32, "cites": [ "vendors", "boundary" ], "gates": { "cites": [ "vendors", "boundary" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.178" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-35", "kind": "on-page" }, { "slug": "august-arrivals", "q": "how many models landed that week, and what share broke the response contract?", "ok": true, "answer": "four fresh models 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}. as a note, OLMo 3.1 32B Think was an arm that never ran the voice leg § {#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}. as a note, OLMo 3.1 32B Think was an arm that never ran the voice leg § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 4.377207413999713, "ttft_ms": 1219, "tokens_in": 10941, "tokens_out": 119, "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 to clear the floors § {#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 to clear the floors § {#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, "abstain_section": null, "seconds": 2.983242270998744, "ttft_ms": 442, "tokens_in": 6992, "tokens_out": 79, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "23/27", "13/16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-37", "kind": "on-page" }, { "slug": "voice-trials", "q": "how many model tags were tried, and what does the anchor model read?", "ok": true, "answer": "the article states that 24 distinct model tags were scored across 40 runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three 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 24 distinct model tags were scored across 40 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": 3.672366236000016, "ttft_ms": 894, "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": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "24", "40", "9.0", "7.0", "6.2", "2026-08" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-38", "kind": "on-page" }, { "slug": "licences", "q": "what does the page say it does with each model's licence?", "ok": true, "answer": "the page reads each licence in full, rather than skimming for a name, to determine what it asks of the workshop and what it permits the user § {#how-to-read-this-page}. the method for each read is named once per table so that the reader can repeat the process themselves § {#how-to-read-this-page}. the 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