{ "schema_version": "1.0", "run_utc": "2026-09-09T19:15:09Z", "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": 41, "off_page": 21, "total": 62 } }, "results": { "on_page_total": 41, "on_page_answered": 39, "non_verbatim_figures": 2, "uncited": 0, "off_page_total": 21, "off_page_abstained": 21, "off_page_abstained_by_gate": 3, "off_page_abstained_by_model": 18, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 0, "off_page_cited": 18, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 0.968, "p95_seconds": 7.197 }, "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 carried this round, reading lettered replies blind § {#seven-seats-six-carried-and-where-their-zeros-sit}. the article notes that the reasoning for GLM 5.3 was counted and withheld § {#what-changed-since-the-open-call}.", "served": "the metered total for the round was $0.7652 § {#the-bill}. the three new voices were judged by a panel of seven seats from outside families, six of which carried this round, reading lettered replies blind § {#seven-seats-six-carried-and-where-their-zeros-sit}. the article notes that the reasoning for GLM 5.3 was counted and withheld § {#what-changed-since-the-open-call}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 15.682557211999665, "ttft_ms": 12923, "tokens_in": 82427, "tokens_out": 101, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "what-changed-since-the-open-call" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "what-changed-since-the-open-call" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.7652", "5.3" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-01", "kind": "on-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "the head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the pooled preference rate was 0.544 for Claude Fable 5.1, but the panel's interval of [0.444, 0.638] covers 0.5 § {#head-to-head}. the narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "served": "the head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the pooled preference rate was 0.544 for Claude Fable 5.1, but the panel's interval of [0.444, 0.638] covers 0.5 § {#head-to-head}. the narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.5712985709997156, "ttft_ms": 1759, "tokens_in": 26568, "tokens_out": 112, "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", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that thirty-nine renders were made to choose these six, with other subjects and other worlds tried along the way and set aside by eye § {#for-the-technically-curious}.", "served": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that thirty-nine renders were made to choose these six, with other subjects and other worlds tried along the way and set aside by eye § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5721895349997794, "ttft_ms": 195, "tokens_in": 2635, "tokens_out": 75, "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 own 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 own 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": 0.7841359939993708, "ttft_ms": 299, "tokens_in": 4465, "tokens_out": 93, "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, preferred the one-artist control over the untouched model on the request Schwerelos, though they noted the adapter version might be slightly better § {#one-artist-instead-of-a-tag}. the article does not state what the listener preferred regarding the wide adapter § {#the-ear}. the text notes that 63 files running twenty minutes or longer were thrown out § {#a-genre-not-a-composer} and that 41 tracks were held back for a test not yet run § {#forty-one-releases-licence-by-licence}.", "served": "the adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. the one listener, who was unblinded, preferred the one-artist control over the untouched model on the request Schwerelos, though they noted the adapter version might be slightly better § {#one-artist-instead-of-a-tag}. the article does not state what the listener preferred regarding the wide adapter § {#the-ear}. the text notes that 63 files running twenty minutes or longer were thrown out § {#a-genre-not-a-composer} and that 41 tracks were held back for a test not yet run § {#forty-one-releases-licence-by-licence}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6885319709999749, "ttft_ms": 760, "tokens_in": 12906, "tokens_out": 157, "cached_tokens": 32, "cites": [ "a-genre-not-a-composer", "one-artist-instead-of-a-tag", "the-ear", "forty-one-releases-licence-by-licence" ], "gates": { "cites": [ "a-genre-not-a-composer", "one-artist-instead-of-a-tag", "the-ear", "forty-one-releases-licence-by-licence" ], "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", "41" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-05", "kind": "on-page" }, { "slug": "listen-for-yourself", "q": "how many renders are on the page, and what was done to their loudness?", "ok": true, "answer": "there are sixty-three players on the page § {#how-to-listen}. the players play a listening master of each one, which is the render with one constant gain applied and nothing else § {#how-to-listen}. thirty-two of these mastered copies land at −16 LUFS exactly, while the other thirty-one are left at their raw level § {#how-to-listen}. as a note, the article's own players stay raw and the raw renders are untouched in audio/ and in the article's data kit § {#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}. thirty-two of these mastered copies land at −16 LUFS exactly, while the other thirty-one are left at their raw level § {#how-to-listen}. as a note, the article's own players stay raw and the raw renders are untouched in audio/ and in the article's data kit § {#how-to-listen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.5828523349991883, "ttft_ms": 828, "tokens_in": 14176, "tokens_out": 121, "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" ], "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": 0.8691896100008307, "ttft_ms": 344, "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, whether the tempo and key were actually honoured, or what happens past ten passes § {#what-it-sounds-like-on-its-own} § {#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, whether the tempo and key were actually honoured, or what happens past ten passes § {#what-it-sounds-like-on-its-own} § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8190181919999304, "ttft_ms": 277, "tokens_in": 3580, "tokens_out": 103, "cached_tokens": 32, "cites": [ "five-minutes-of-training-honestly-accounted", "what-it-sounds-like-on-its-own", "what-we-did-not-measure" ], "gates": { "cites": [ "five-minutes-of-training-honestly-accounted", "what-it-sounds-like-on-its-own", "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 `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 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 `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 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, "abstain_section": null, "seconds": 1.6069040129987116, "ttft_ms": 378, "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", "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 it did not measure the gpu-server half of the outage machine § {#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 it did not measure the gpu-server half of the outage machine § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1984443769997597, "ttft_ms": 654, "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", "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 ranked model qwen3.6:27b landed at kill-recall 11/12 and preservation 8/9 § {#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}. the article notes that the missed item moved from c1-k-bez-c1 to c1-k-bez-h1 § {#what-the-battery-was-for-the-instrument-travels}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.036822612000833, "ttft_ms": 489, "tokens_in": 8389, "tokens_out": 96, "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 what 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 what was left out, moved, or not measured § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5890560139996524, "ttft_ms": 172, "tokens_in": 1919, "tokens_out": 85, "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 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 could move the 2% either way § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1457001469989336, "ttft_ms": 411, "tokens_in": 7066, "tokens_out": 134, "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 mention how long the genie's voice takes to arrive when it is not a repeat § {#numbers-so-it-isnt-just-talk}.", "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 mention how long the genie's voice takes to arrive when it is not a repeat § {#numbers-so-it-isnt-just-talk}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.9045659709991014, "ttft_ms": 2179, "tokens_in": 30947, "tokens_out": 92, "cached_tokens": 32, "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "numbers-so-it-isnt-just-talk" ], "gates": { "cites": [ "the-sound-is-made-on-your-device", "what-happens-when-you-ask-the-genie", "numbers-so-it-isnt-just-talk" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-14", "kind": "on-page" }, { "slug": "the-typist-and-the-developer", "q": "how long did the developer take to develop one picture?", "ok": true, "answer": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8091972860001988, "ttft_ms": 334, "tokens_in": 5393, "tokens_out": 88, "cached_tokens": 32, "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "gates": { "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1.54", "1.82" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-15", "kind": "on-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "how much faster was the workstation card than the 3090 on the game's own art?", "ok": true, "answer": "the 96 GB card was 3.4× faster than the RTX 3090 when running the game's sketch artist, FLUX.2 klein-4B § {#the-table-that-answers-the-question}. for the live sketch size of 512×512, the 96 GB card's median was 0.26 s compared to the 3090's 0.88 s § {#the-sketch-ladder-the-number-the-game-lives-on}. the article notes that 8–12 GB cards were not tested § {#three-findings-we-didnt-order}.", "served": "the 96 GB card was 3.4× faster than the RTX 3090 when running the game's sketch artist, FLUX.2 klein-4B § {#the-table-that-answers-the-question}. for the live sketch size of 512×512, the 96 GB card's median was 0.26 s compared to the 3090's 0.88 s § {#the-sketch-ladder-the-number-the-game-lives-on}. the article notes that 8–12 GB cards were not tested § {#three-findings-we-didnt-order}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.061648406999666, "ttft_ms": 299, "tokens_in": 4456, "tokens_out": 147, "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 what was left out or moved regarding these specific measurements.", "served": "an 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. the article does not mention what was left out or moved regarding these specific measurements.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0388813319987094, "ttft_ms": 617, "tokens_in": 10022, "tokens_out": 70, "cached_tokens": 32, "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "gates": { "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "896", "199", "184", "199", "896" ], "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, "abstain_section": null, "seconds": 0.8251324530010606, "ttft_ms": 334, "tokens_in": 5221, "tokens_out": 91, "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 that is 16,705 lines § {#the-world-is-a-file}. this file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. the article does not mention what was left out of the file, only that the calendar is deliberately not on the limner's list § {#the-painter-paints-the-state}.", "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}. the article does not mention what was left out of the file, only that the calendar is deliberately not on the limner's list § {#the-painter-paints-the-state}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9279151280006772, "ttft_ms": 362, "tokens_in": 5903, "tokens_out": 104, "cached_tokens": 32, "cites": [ "the-world-is-a-file", "the-painter-paints-the-state" ], "gates": { "cites": [ "the-world-is-a-file", "the-painter-paints-the-state" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16,705" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-19", "kind": "on-page" }, { "slug": "where-new-knowledge-comes-from", "q": "what are the two engines the page names for where new knowledge comes from?", "ok": true, "answer": "the two engines are present in the data, unmined and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. the first engine involves a reader wide enough to hold an archive 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 § {#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 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 § {#the-first-engine-the-archive-nobody-had-read}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.2796326320003573, "ttft_ms": 337, "tokens_in": 5250, "tokens_out": 178, "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, serving as the codebook for a corpus § {#the-punchline}. it points to the Hutter Prize, which charges for everything including self-extracting entries and every decompressor byte counted § {#the-punchline}. the text notes that the model's own bits sit on a separate ledger line and nothing in the next-token training loss charges for them § {#the-punchline}.", "served": "the article states that the weights are the compression, serving as the codebook for a corpus § {#the-punchline}. it points to the Hutter Prize, which charges for everything including self-extracting entries and every decompressor byte counted § {#the-punchline}. the text notes that the model's own bits sit on a separate ledger line and nothing in the next-token training loss charges for them § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8343749279993062, "ttft_ms": 335, "tokens_in": 5260, "tokens_out": 93, "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 server to skip the penalties stage in the sampling pipeline § {#the-hunt-change-one-thing}. 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 server to skip the penalties stage in the sampling pipeline § {#the-hunt-change-one-thing}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1484669290002785, "ttft_ms": 421, "tokens_in": 7253, "tokens_out": 131, "cached_tokens": 32, "cites": [ "the-day-the-box-got-faster", "the-hunt-change-one-thing", "the-part-that-isnt-about-speed" ], "gates": { "cites": [ "the-day-the-box-got-faster", "the-hunt-change-one-thing", "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 uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. the article 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 uncompressed original's speed was 58.1 tok/s compared to the trained-4-bit build's 134.4 tok/s § {#the-same-question-down-the-whole-ladder}. the article does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1021586419992673, "ttft_ms": 480, "tokens_in": 8235, "tokens_out": 109, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.4", "4", "58.1", "4", "134.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "the true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}, and the two numbers in a model name are the payroll and the meeting § {#the-tag-with-two-numbers}. the article notes that it did not measure the speed of streaming experts in from system RAM per token § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "served": "the true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}, and the two numbers in a model name are the payroll and the meeting § {#the-tag-with-two-numbers}. the article notes that it did not measure the speed of streaming experts in from system RAM per token § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.014613625999118, "ttft_ms": 435, "tokens_in": 7434, "tokens_out": 104, "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" ], "gates": { "cites": [ "the-payroll-and-the-meeting", "the-tag-with-two-numbers", "the-part-nobody-warns-you-about-the-whole-payroll-needs-an" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "14.4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-24", "kind": "on-page" }, { "slug": "reading-is-fast", "q": "what was the median reading speed, and why is reading faster than writing?", "ok": true, "answer": "the median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. reading is faster because it is parallel since the text already exists, whereas writing is serial because the answer does not yet exist § {#writing-is-one-at-a-time}. the article does not mention what was left out, moved, or not measured § {#what-this-page-does-not-say}.", "served": "the median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. reading is faster because it is parallel since the text already exists, whereas writing is serial because the answer does not yet exist § {#writing-is-one-at-a-time}. the article does not mention what was left out, moved, or not measured § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8488304279999284, "ttft_ms": 335, "tokens_in": 5292, "tokens_out": 96, "cached_tokens": 32, "cites": [ "a-measurement-from-our-own-card", "writing-is-one-at-a-time", "what-this-page-does-not-say" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "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 moved or not measured § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "served": "the embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. the third librarian works only the aisle of the 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 moved or not measured § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9798694340006477, "ttft_ms": 352, "tokens_in": 5673, "tokens_out": 116, "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": 1.7906209269985993, "ttft_ms": 881, "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 measurement of the largest file is an estimate based on a four-bytes-per-token rule of thumb § {#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 based on a four-bytes-per-token rule of thumb § {#where-the-file-came-from}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3269654269988678, "ttft_ms": 737, "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": true, "answer": "twenty arms were seated to answer the frozen bytes § {#five-things-before-any-figure}. the metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. as a note, the three agent-transport arms hold no cost figure and no token counters § {#limits}.", "served": "twenty arms were seated to answer the frozen bytes § {#five-things-before-any-figure}. the metered spend for the round was $2.2826 § {#2-2826-over-56-metered-calls-against-38-49-of-caps}. as a note, the three agent-transport arms hold no cost figure and no token counters § {#limits}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 7.25226573800137, "ttft_ms": 6330, "tokens_in": 63362, "tokens_out": 90, "cached_tokens": 32, "cites": [ "five-things-before-any-figure", "2-2826-over-56-metered-calls-against-38-49-of-caps" ], "gates": { "cites": [ "five-things-before-any-figure", "2-2826-over-56-metered-calls-against-38-49-of-caps" ], "cites_dropped": [ "limits" ], "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: limits" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "limits" ] }, "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, "abstain_section": null, "seconds": 0.7935540180005773, "ttft_ms": 292, "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 the plan, reviews and edits the hardened version, 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 the plan, reviews and edits the hardened version, 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, "abstain_section": null, "seconds": 0.9558002109988593, "ttft_ms": 309, "tokens_in": 4735, "tokens_out": 123, "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 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 move put the database, the search index, and the reranker on a server-class VPS, but generation stays on the original GPU box § {#what-moved}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7284861650005041, "ttft_ms": 365, "tokens_in": 5983, "tokens_out": 67, "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 were part of the roster, though only five of the eleven arms sat all five chairs § {#roster}. the 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 were part of the roster, though only five of the eleven arms sat all five chairs § {#roster}. the 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": 2.6336542509998253, "ttft_ms": 2090, "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 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 explicitly state what happened to that specific model at the cove's gate § {#the-verdict}.", "served": "the August arrivals' warmest voice was the one model that invented names for the drowned diver, twice § {#floor-1-canon}. 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 explicitly state what happened to that specific model at the cove's gate § {#the-verdict}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.5261049990003812, "ttft_ms": 970, "tokens_in": 16350, "tokens_out": 87, "cached_tokens": 32, "cites": [ "floor-1-canon", "the-verdict" ], "gates": { "cites": [ "floor-1-canon", "the-verdict" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-34", "kind": "on-page" }, { "slug": "outside-judges", "q": "how many outside labs re-judged, and what was the widest cross-vendor gap?", "ok": true, "answer": "four rival labs re-judged every sealed round of the chair trials and the voice addendum § {#vendors}. the widest cross-vendor gap on any arm is 0.178 § {#vendors}. 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, "abstain_section": null, "seconds": 1.0309461180004291, "ttft_ms": 619, "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 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}. 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": 1.3447369259993138, "ttft_ms": 668, "tokens_in": 10941, "tokens_out": 115, "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, "abstain_section": null, "seconds": 0.8289359370010061, "ttft_ms": 411, "tokens_in": 6992, "tokens_out": 75, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "23/27", "13/16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-37", "kind": "on-page" }, { "slug": "voice-trials", "q": "how many model tags were tried, and what does the anchor model read?", "ok": true, "answer": "the article states that there were 24 distinct model tags tried across 40 scored runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three record sets, unchanged each time § {#the-method-limits-first}. as a note, the article mentions that the 2026-08 field never sampled a per-arm resident size § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "the article states that there were 24 distinct model tags tried across 40 scored runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three record sets, unchanged each time § {#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": 1.2808636859990656, 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text that has been read in full by the workshop agents § {#how-to-read-this-page}. the method for each read is named once per table so that a reader can repeat the read themselves § {#how-to-read-this-page}. the ledger is re-read whenever a seat changes or a model updates, and every row is given a fresh read at least every six months § {#why-this-page-is-called-living}. as a note, the article mentions that some models are withheld or quarantined because their licences have not been re-read this cycle § {#the-painters-diffusion-read-2026-08-11-except-where-a-row-says-otherwise}.", "served": "the page states that every dated row represents a licence text that has been read in full by the workshop agents § {#how-to-read-this-page}. the method for each read is named once per table so that a reader can repeat the read themselves § {#how-to-read-this-page}. the ledger is re-read whenever a seat changes or a model updates, and every row is given a fresh read at least every six months § 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