{ "schema_version": "1.0", "run_utc": "2026-09-09T19:20:14Z", "arm": "warm", "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": 1, "off_page_abstained_by_model": 20, "off_page_flagged_but_not_verbatim": [], "on_page_abstained": 0, "off_page_cited": 20, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 1.005, "p95_seconds": 8.574 }, "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 came to $0.7652 § {#the-bill}. the three new voices were judged by a panel of six families, as the zhipu chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. the article does not state what was left out, moved, or not measured regarding the cost or the judging process, though it notes that the kit's screen refuses certain files and that the scoring method does not measure whether a model's use of context helps or hurts § {#what-this-page-does-not-say}.", "served": "the metered total for the round came to $0.7652 § {#the-bill}. the three new voices were judged by a panel of six families, as the zhipu chair went dark before it could read a page § {#seven-seats-six-carried-and-where-their-zeros-sit}. the article does not state what was left out, moved, or not measured regarding the cost or the judging process, though it notes that the kit's screen refuses certain files and that the scoring method does not measure whether a model's use of context helps or hurts § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 12.102373840998553, "ttft_ms": 10082, "tokens_in": 82427, "tokens_out": 138, "cached_tokens": 32, "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-bill", "seven-seats-six-carried-and-where-their-zeros-sit", "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": [ "0.7652" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-01", "kind": "on-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "the blind head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the panel's pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over the 36 cases puts that rate at [0.444, 0.638], an interval that covers 0.5 § {#head-to-head}. the narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "served": "the blind head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the panel's pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over the 36 cases puts that rate at [0.444, 0.638], an interval that covers 0.5 § {#head-to-head}. the narrator's chair job was moved out of this round before pre-registration was written § {#two-strangers-at-the-door}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 8.751710264999929, "ttft_ms": 2037, "tokens_in": 26568, "tokens_out": 126, "cached_tokens": 32, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "36", "0.544", "5.1", "36", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that thirty-nine renders were made to choose these six, and 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 thirty-nine renders were made to choose these six, and 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": 1.180242181999347, "ttft_ms": 642, "tokens_in": 2635, "tokens_out": 77, "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 § {#do-i-need-the-genie-to-make-a-beat}.", "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 § {#do-i-need-the-genie-to-make-a-beat}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.864300931998514, "ttft_ms": 302, "tokens_in": 4465, "tokens_out": 92, "cached_tokens": 32, "cites": [ "is-this-ai", "where-these-answers-come-from", "do-i-need-the-genie-to-make-a-beat" ], "gates": { "cites": [ "is-this-ai", "where-these-answers-come-from", "do-i-need-the-genie-to-make-a-beat" ], "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-04", "kind": "on-page" }, { "slug": "ten-minutes-with-living-artists", "q": "how many tracks and releases went into the adapter, and what did the one listener prefer?", "ok": true, "answer": "The adapter was trained on 159 tracks from 41 releases § {#forty-one-releases-licence-by-licence}. The one listener preferred the one-artist adapter version of the request Schwerelos, noting it might be slightly better than the untouched version § {#one-artist-instead-of-a-tag}. The article does not measure whether the untouched model is any good at this genre § {#what-we-did-not-measure}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#forty-one-releases-licence-by-licence}. The one listener preferred the one-artist adapter version of the request Schwerelos, noting it might be slightly better than the untouched version § {#one-artist-instead-of-a-tag}. The article does not measure whether the untouched model is any good at this genre § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 3.125341541001035, "ttft_ms": 2436, "tokens_in": 12906, "tokens_out": 100, "cached_tokens": 32, "cites": [ "forty-one-releases-licence-by-licence", "one-artist-instead-of-a-tag", "what-we-did-not-measure" ], "gates": { "cites": [ "forty-one-releases-licence-by-licence", "one-artist-instead-of-a-tag", "what-we-did-not-measure" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "159", "41" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-05", "kind": "on-page" }, { "slug": "listen-for-yourself", "q": "how many renders are on the page, and what was done to their loudness?", "ok": true, "answer": "there are sixty-three players on the page § {#how-to-listen}. the players play a listening master of each one, which is the render with one constant gain applied and nothing else § {#how-to-listen}. the gain is the smaller of two numbers: how far the clip sits from −16 LUFS, and how far its true peak sits from a −1 dBTP ceiling § {#how-to-listen}. thirty-two clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}. note that the article's own players stay raw and the raw renders are untouched in audio/ § {#how-to-listen}.", "served": "there are sixty-three players on the page § {#how-to-listen}. the players play a listening master of each one, which is the render with one constant gain applied and nothing else § {#how-to-listen}. the gain is the smaller of two numbers: how far the clip sits from −16 LUFS, and how far its true peak sits from a −1 dBTP ceiling § {#how-to-listen}. thirty-two clips land at −16 LUFS exactly, while the other thirty-one are left at their raw level because their peaks already sit at the engine's own −1 dB ceiling § {#how-to-listen}. note that the article's own players stay raw and the raw renders are untouched in audio/ § {#how-to-listen}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.3744884930001717, "ttft_ms": 872, "tokens_in": 14176, "tokens_out": 166, "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 by the trainer's own clock § {#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 mention what was left out, moved, or not measured in relation to these specific training times.", "served": "the Sousa adapter took 14 minutes 36 seconds by the trainer's own clock § {#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 mention what was left out, moved, or not measured in relation to these specific training times.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.841862597000727, "ttft_ms": 342, "tokens_in": 5430, "tokens_out": 92, "cached_tokens": 32, "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings" ], "gates": { "cites": [ "sousa-a-hundred-and-six-marches", "bach-the-pianist-who-freed-her-own-recordings" ], "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 run 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 run 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": 0.6313675249984954, "ttft_ms": 277, "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": 1.4325096100001247, "ttft_ms": 208, "tokens_in": 6263, "tokens_out": 226, "cached_tokens": 6208, "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "gates": { "cites": [ "sixteen-of-nineteen", "two-local-models-sixteen-days-earlier", "the-ledger-of-what-did-not-read" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "5.3", "16/19", "84.2", "95", "62.4", "94.5", "14/19", "51.2", "88.2", "15/19", "56.7", "91.5", "4:26", "3.6", "27", "4:12", "16/19" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-09", "kind": "on-page" }, { "slug": "two-hours-on-battery", "q": "what speed did the mini pc hold on battery, and for how long?", "ok": true, "answer": "the mini pc held a speed of ~12 tokens/second for about two hours on battery § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. specifically, the four answers completed on battery averaged 11.87 tok/s § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. the article notes that 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}. specifically, the four answers completed on battery averaged 11.87 tok/s § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. the article notes that 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": 1.4845656739998958, "ttft_ms": 672, "tokens_in": 10856, "tokens_out": 136, "cached_tokens": 32, "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "gates": { "cites": [ "two-hours-at-12-tok-s-the-test-that-named-the-page" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "12", "12", "11.87", "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 with a kill-recall of 11/12 and a preservation of 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 with a kill-recall of 11/12 and a preservation of 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": 1.08347743000013, "ttft_ms": 497, "tokens_in": 8389, "tokens_out": 102, "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 remain constant across the nine paintings § {#for-the-technically-curious}. the dog is a large black Portuguese Water Dog with one bright white chest patch § {#for-the-technically-curious}. the article does not mention anything that was left out, moved, or not measured § {#for-the-technically-curious}.", "served": "the same dog, same curl, and same tucked paws remain constant across the nine paintings § {#for-the-technically-curious}. the dog is a large black Portuguese Water Dog with one bright white chest patch § {#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": 0.602448165000169, "ttft_ms": 182, "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": "on the dense arm, the 600 → 450 W cap costs 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. the article notes that it does not cover the cost of a long-context or prefill-heavy workload, which could move the 2% either way § {#what-this-page-does-not-say}.", "served": "on the dense arm, the 600 → 450 W cap costs 2.0% of throughput and buys back 138 W, 11 °C, and a 28% jump in efficiency § {#the-answer-in-one-paragraph}. the article notes that it does not cover the cost of a long-context or prefill-heavy workload, which could move the 2% either way § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0185421890000725, "ttft_ms": 419, "tokens_in": 7066, "tokens_out": 107, "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", "2" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-13", "kind": "on-page" }, { "slug": "how-the-beat-lab-works", "q": "where is the sound made, and how long does a typical wish take?", "ok": true, "answer": "every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. a typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. the article does not state what was left out, moved or not measured in relation to these specific details.", "served": "every sound in the Beat Lab is synthesised by the user's own browser § {#the-sound-is-made-on-your-device}. a typical wish takes about 4 s § {#what-happens-when-you-ask-the-genie}. the article does not state what was left out, moved or not measured in relation to these specific details.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.898829593999835, "ttft_ms": 2246, "tokens_in": 30947, "tokens_out": 80, "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 notes that it did not instrument how much live traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "served": "the developer developed a picture in 1.54 seconds § {#the-developer}. when the typist is streaming tokens at the same time, the developer takes 1.82 seconds § {#one-card-both-jobs-at-once}. the article notes that it did not instrument how much live traffic there was during the run § {#what-we-did-not-measure-said-out-loud}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8163377060009225, "ttft_ms": 340, "tokens_in": 5393, "tokens_out": 89, "cached_tokens": 32, "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "gates": { "cites": [ "the-developer", "one-card-both-jobs-at-once", "what-we-did-not-measure-said-out-loud" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "1.54", "1.82" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-15", "kind": "on-page" }, { "slug": "a-rig-your-friend-already-owns", "q": "how much faster was the workstation card than the 3090 on the game's own art?", "ok": true, "answer": "the 96 GB card was 3.4× faster than the 3090 when running the game's sketch artist, FLUX.2 klein-4B § {#the-table-that-answers-the-question}. the article does not provide a single speed comparison for the entire art stack, though it notes that the 3090 is enthusiast hardware rather than median hardware § {#what-this-means-for-the-game}. the researchers did not measure 8–12 GB cards § {#three-findings-we-didnt-order}.", "served": "the 96 GB card was 3.4× faster than the 3090 when running the game's sketch artist, FLUX.2 klein-4B § {#the-table-that-answers-the-question}. the article does not provide a single speed comparison for the entire art stack, though it notes that the 3090 is enthusiast hardware rather than median hardware § {#what-this-means-for-the-game}. the researchers did not measure 8–12 GB cards § {#three-findings-we-didnt-order}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9423738160003268, "ttft_ms": 302, "tokens_in": 4456, "tokens_out": 123, "cached_tokens": 32, "cites": [ "the-table-that-answers-the-question", "what-this-means-for-the-game", "three-findings-we-didnt-order" ], "gates": { "cites": [ "the-table-that-answers-the-question", "what-this-means-for-the-game", "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", "3090", "8-12" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-16", "kind": "on-page" }, { "slug": "how-a-vision-model-sees", "q": "how many tokens does an 896 px picture become, and how long does its prefill take?", "ok": true, "answer": "an 896 px picture becomes 199 tokens and 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": 1.245931412000573, "ttft_ms": 630, "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", "199", "896", "199", "896" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "the distilled painter is the sharpest and fastest cell in the whole second run at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article does not mention what was left out, moved, or not measured in relation to this specific painter § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "served": "the distilled painter is the sharpest and fastest cell in the whole second run at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article does not mention what was left out, moved, or not measured in relation to this specific painter § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8302972709989263, "ttft_ms": 337, "tokens_in": 5221, "tokens_out": 92, "cached_tokens": 32, "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it" ], "gates": { "cites": [ "finding-four-the-argument-with-our-own-settings-and-what-it" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "0.62" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-18", "kind": "on-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "the world is written in 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, as the measuring starts alongside this piece and runs all week § {#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, as the measuring starts alongside this piece and runs all week § {#the-walk-has-three-stations}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.892649542000072, "ttft_ms": 367, "tokens_in": 5903, "tokens_out": 97, "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 patterns that were already in the archive but required a reader wide enough to hold them all at once § {#the-first-engine-the-archive-nobody-had-read}, while the second engine involves a rule captured well enough that it emits entries no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply}. structural biologists noted that what was left out included 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 patterns that were already in the archive but required a reader wide enough to hold them all at once § {#the-first-engine-the-archive-nobody-had-read}, while the second engine involves a rule captured well enough that it emits entries no row of the data contains § {#the-second-engine-the-rooms-the-rules-imply}. structural biologists noted that what was left out included 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": 1.191108836001149, "ttft_ms": 343, "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 a corpus § {#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 for in the next-token training loss § {#the-punchline}.", "served": "the article states that the weights are the compression, acting as the codebook for a corpus § {#the-punchline}. it points to the Hutter Prize, which charges for everything including self-extracting entries 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 for in the next-token training loss § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9000988749994576, "ttft_ms": 342, "tokens_in": 5260, "tokens_out": 102, "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 allowed the server to skip the penalties stage § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "served": "the production median was 138.6 tok/s over 1,982 live rulings on 2026-08-15 § {#the-day-the-box-got-faster}. the speed-up was caused by an ollama upgrade that changed the default repeat_penalty from 1.1 to 1.0, which allowed the server to skip the penalties stage § {#the-two-line-commit}. the article notes that the quality half of this change remains unmeasured § {#the-part-that-isnt-about-speed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.1310526760007633, "ttft_ms": 430, "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× the speed of the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. the q8 build was 28% slower in tokens per second than the q4 build § {#the-same-brain-at-two-compressions}. the article does not explicitly state the exact speed difference between the uncompressed original and the q4 build, though it notes the uncompressed original hauls 3.4× its bytes at 0.43× its speed § {#the-same-brain-at-two-compressions}. the article notes it does not measure perplexity § {#what-this-page-does-not-say}.", "served": "the uncompressed original was 3.4× the speed of the trained-4-bit build § {#the-same-question-down-the-whole-ladder}. the q8 build was 28% slower in tokens per second than the q4 build § {#the-same-brain-at-two-compressions}. the article does not explicitly state the exact speed difference between the uncompressed original and the q4 build, though it notes the uncompressed original hauls 3.4× its bytes at 0.43× its speed § {#the-same-brain-at-two-compressions}. the article notes it does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3662178720005613, "ttft_ms": 489, "tokens_in": 8235, "tokens_out": 155, "cached_tokens": 32, "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.4", "4", "8", "28", "4", "4", "3.4", "0.43" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "the true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. the two numbers in a model name are the payroll, which are the parameters hired, trained, and taking up space, and the meeting, which are the parameters that actually show up for any given token § {#the-tag-with-two-numbers}. the article does not measure the latency trade of streaming experts from system RAM § {#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}. the two numbers in a model name are the payroll, which are the parameters hired, trained, and taking up space, and the meeting, which are the parameters that actually show up for any given token § {#the-tag-with-two-numbers}. the article does not measure the latency trade of streaming experts from system RAM § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.136004044999936, "ttft_ms": 441, "tokens_in": 7434, "tokens_out": 125, "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, as the model can process every token in a 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 one token at a time and cannot pick a future token until the previous one exists § {#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 a 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 one token at a time and cannot pick a future token until the previous one exists § {#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": 1.090445075000389, "ttft_ms": 338, "tokens_in": 5292, "tokens_out": 141, "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 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": 0.9907759220004664, "ttft_ms": 359, "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 model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} and failed the judge seat § {#the-judge-seat-and-the-floor-it-missed} by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge-seat rows were measured on 0.32.9 while the model ran on 0.32.13 § {#the-classifier-seat-five-gates-all-pass-faster} § {#what-it-ran-on}.", "served": "the model passed the classifier seat § {#the-classifier-seat-five-gates-all-pass-faster} and failed the judge seat § {#the-judge-seat-and-the-floor-it-missed} by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge-seat rows were measured on 0.32.9 while the model ran on 0.32.13 § {#the-classifier-seat-five-gates-all-pass-faster} § {#what-it-ran-on}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.8508641079988593, "ttft_ms": 900, "tokens_in": 14843, "tokens_out": 158, "cached_tokens": 32, "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed", "what-it-ran-on" ], "gates": { "cites": [ "the-classifier-seat-five-gates-all-pass-faster", "the-judge-seat-and-the-floor-it-missed", "what-it-ran-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": [ "13", "11", "16", "0.32", "9", "0.32", "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": 1.3662414600003103, "ttft_ms": 756, "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 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 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": 7.569878217000223, "ttft_ms": 6672, "tokens_in": 63362, "tokens_out": 83, "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", "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 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 is used 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 is used to hold this thirty days limit § {#the-first-promise-your-visit-stays-between-us}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7783944849998079, "ttft_ms": 295, "tokens_in": 4310, "tokens_out": 91, "cached_tokens": 32, "cites": [ "the-first-promise-your-visit-stays-between-us" ], "gates": { "cites": [ "the-first-promise-your-visit-stays-between-us" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-30", "kind": "on-page" }, { "slug": "how-we-work", "q": "what does the page say about the humans and agents who make each exhibit?", "ok": true, "answer": "the human generates and judges while the agent amplifies and verifies § {#the-plain-english-version}. agents perform recon, write executable plans, audit and harden those plans, execute the signed plans with checkpoints, and draft the articles § {#the-thorough-walk}. the human operator notices the initial spark, negotiates the roster, shapes the plan, reviews and edits the hardened versions, steers execution, and provides the final sign-off 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 signed plans with checkpoints, and draft the articles § {#the-thorough-walk}. the human operator notices the initial spark, negotiates the roster, shapes the plan, reviews and edits the hardened versions, steers execution, and provides the final sign-off 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": 0.9782492740014277, "ttft_ms": 371, "tokens_in": 4735, "tokens_out": 126, "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 stayed 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 stayed on the original GPU box § {#what-moved}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.743424184000105, "ttft_ms": 368, "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 sat the five chairs, though only five of the eleven arms sat all five chairs § {#roster}. serving stayed up all day § {#what-the-day-actually-settled}. the article notes that no on-disk blob size was measured § {#roster}.", "served": "nine models and eleven arms sat the five chairs, though only five of the eleven arms sat all five chairs § {#roster}. serving stayed up all day § {#what-the-day-actually-settled}. the article notes that no on-disk blob size was measured § {#roster}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.6159809159998986, "ttft_ms": 2130, "tokens_in": 29978, "tokens_out": 62, "cached_tokens": 32, "cites": [ "roster", "what-the-day-actually-settled" ], "gates": { "cites": [ "roster", "what-the-day-actually-settled" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-33", "kind": "on-page" }, { "slug": "cove-voice-head-to-head", "q": "what happened to the August class's best voice at the cove's gate?", "ok": true, "answer": "the candidate from the August arrivals, which was the panel's warmest voice, invented names for the drowned diver twice § {#floor-1-canon}. this behavior meant that a charming narrator who invents canon is a worse narrator than a stiff one who doesn't § {#floor-1-canon}. the article does not state what happened to that specific model at the cove's gate, though it discusses the current candidate's refusal § {#the-verdict}.", "served": "the candidate from the August arrivals, which was the panel's warmest voice, invented names for the drowned diver twice § {#floor-1-canon}. this behavior meant that a charming narrator who invents canon is a worse narrator than a stiff one who doesn't § {#floor-1-canon}. the article does not state what happened to that specific model at the cove's gate, though it discusses the current candidate's refusal § {#the-verdict}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.6074910140014254, "ttft_ms": 989, "tokens_in": 16350, "tokens_out": 97, "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 serve a user and only saw model outputs over public-domain text and published game canon, never 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 serve a user and only saw model outputs over public-domain text and published game canon, never user data, a character's private canon, or telemetry § {#boundary}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.143522947000747, "ttft_ms": 629, "tokens_in": 10010, "tokens_out": 87, "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}. the specific failure rates for the cohort were 16.3%, 51.2%, 55.8% and 62.8% § {#exam-one-the-judge-chair}. olmo 3.1 32b think was an arm that never ran the voice probe, which is a gap in the paperwork rather than in the record § {#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}. the specific failure rates for the cohort were 16.3%, 51.2%, 55.8% and 62.8% § {#exam-one-the-judge-chair}. olmo 3.1 32b think was an arm that never ran the voice probe, which is a gap in the paperwork rather than in the record § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.4197491119994083, "ttft_ms": 677, "tokens_in": 10941, "tokens_out": 127, "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 thresholds are written down before any model runs and each floor binds on its own § {#the-instrument}. note that the article mentions one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "served": "a model must achieve a kill-recall ≥ 23/27 and a preservation ≥ 13/16 § {#the-instrument}. these thresholds are written down before any model runs and each floor binds on its own § {#the-instrument}. note that the article mentions one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8347952980002447, "ttft_ms": 415, "tokens_in": 6992, "tokens_out": 76, "cached_tokens": 32, "cites": [ "the-instrument" ], "gates": { "cites": [ "the-instrument" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "23/27", "13/16" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-37", "kind": "on-page" }, { "slug": "voice-trials", "q": "how many model tags were tried, and what does the anchor model read?", "ok": true, "answer": "the article states that there were 24 distinct model tags across 40 scored runs § {#provenance-4cae43}. the anchor model reads 9.0 on the first scale, 7.0 on the second, and 6.2 on the third § {#the-method-limits-first}. as a note, the article mentions that no delta across record sets is ever published and that the 2026-08 field never sampled a per-arm resident size § 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