{ "schema_version": "1.1", "instrument": { "figures_read_from": "cite-cut prose (gates.prose_of) since 2026-09-09", "warm_arm_walk": "per page, one warm immediately before that page's own questions, since 2026-09-09", "not_comparable_with": "reports whose schema_version is 1.0" }, "run_utc": "2026-09-09T20:21:13Z", "arm": "warm", "concurrency": 6, "effective_concurrency": 2, "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": 0, "uncited": 1, "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": 2, "off_page_cited": 20, "redaction_hits": 0, "seat_errors": 0, "p50_seconds": 0.845, "p95_seconds": 1.502, "pages_warmed": 41, "cache_hits": 62, "cache_hit_of": 62 }, "rows": [ { "slug": "three-new-voices-at-the-narrators-chair", "q": "what did the round cost in total, and how were the three new voices judged?", "ok": true, "answer": "the metered total for the round was $0.7652 § {#the-bill}. the three new voices were judged by a panel of seven seats from outside families, six of which read, with every reply being held to a standard of speaking in the town's own tongue and using only facts present in the context § {#the-chair-and-who-sat-it-before}. the article notes that the reasoning for GLM 5.3 was returned in front of its replies despite being asked not to, and that the counts for the local seat do not include a dollar figure § {#who-answered}.", "served": "the metered total for the round was $0.7652 § {#the-bill}. the three new voices were judged by a panel of seven seats from outside families, six of which read, with every reply being held to a standard of speaking in the town's own tongue and using only facts present in the context § {#the-chair-and-who-sat-it-before}. the article notes that the reasoning for GLM 5.3 was returned in front of its replies despite being asked not to, and that the counts for the local seat do not include a dollar figure § {#who-answered}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 2.095190641000954, "ttft_ms": 699, "tokens_in": 82427, "tokens_out": 130, "cached_tokens": 82176, "cites": [ "the-bill", "the-chair-and-who-sat-it-before" ], "gates": { "cites": [ "the-bill", "the-chair-and-who-sat-it-before" ], "cites_dropped": [ "who-answered" ], "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: who-answered" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [ "who-answered" ] }, "figures": [ "0.7652", "5.3" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-01", "kind": "on-page" }, { "slug": "three-new-voices-at-the-narrators-chair", "q": "what will the next article on this site be about?", "ok": true, "answer": "the article does not say what the next article on this site will be about § {#the-rest-of-the-seminar}.", "served": "this page doesn't say. the nearest it gets is § {#the-rest-of-the-seminar}. The open call — a kid, an elder, and a tired parent walk into the cove covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-rest-of-the-seminar", "seconds": 1.267154268000013, "ttft_ms": 743, "tokens_in": 82421, "tokens_out": 29, "cached_tokens": 82400, "cites": [ "the-rest-of-the-seminar" ], "gates": { "cites": [ "the-rest-of-the-seminar" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-04", "kind": "off-page" }, { "slug": "two-new-frontier-models-at-the-rules-desk", "q": "how many cases did the blind head-to-head use, and did it separate the two models?", "ok": true, "answer": "the head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the panel's pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over those 36 cases puts that rate at [0.444, 0.638], which covers 0.5 § {#head-to-head}. the narrator's chair job was moved out before pre-registration was written because it was the most code on the round and the least defensible number on the page § {#two-strangers-at-the-door}.", "served": "the head-to-head used 36 cases and did not separate the two arms § {#head-to-head}. the panel's pooled preference rate was 0.544 for Claude Fable 5.1, and a cluster bootstrap over those 36 cases puts that rate at [0.444, 0.638], which covers 0.5 § {#head-to-head}. the narrator's chair job was moved out before pre-registration was written because it was the most code on the round and the least defensible number on the page § {#two-strangers-at-the-door}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.3857184440003039, "ttft_ms": 373, "tokens_in": 26568, "tokens_out": 138, "cached_tokens": 26304, "cites": [ "head-to-head", "two-strangers-at-the-door" ], "gates": { "cites": [ "head-to-head", "two-strangers-at-the-door" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "36", "0.544", "5.1", "36", "0.444", "0.638", "0.5" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-02", "kind": "on-page" }, { "slug": "six-worlds-painted-large", "q": "how many worlds were painted, and at what size and step count?", "ok": true, "answer": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that other subjects and other worlds were tried along the way and set aside by eye § {#for-the-technically-curious}.", "served": "six worlds were painted at 2048×1280 and 40 steps § {#for-the-technically-curious}. the article notes that other subjects and other worlds were tried along the way and set aside by eye § {#for-the-technically-curious}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.5481819649994577, "ttft_ms": 191, "tokens_in": 2635, "tokens_out": 64, "cached_tokens": 2368, "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": "six-worlds-painted-large", "q": "how many hours a week do the people who ran this work?", "ok": true, "answer": "the article does not answer the question § {#six-worlds-for-a-print-lab-that-is-coming-soon}.", "served": "this page doesn't say. the nearest it gets is § {#six-worlds-for-a-print-lab-that-is-coming-soon}. A Rig Your Friend Already Owns covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "six-worlds-for-a-print-lab-that-is-coming-soon", "seconds": 0.38330940200103214, "ttft_ms": 193, "tokens_in": 2634, "tokens_out": 30, "cached_tokens": 2592, "cites": [ "six-worlds-for-a-print-lab-that-is-coming-soon" ], "gates": { "cites": [ "six-worlds-for-a-print-lab-that-is-coming-soon" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-10", "kind": "off-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 were drafted by AI agents and approved by humans, but no model ran to derive the page itself § {#who-ran-this-and-thanks}. note that nothing you type reaches another visitor except for a share link which carries a title and notes § {#can-strangers-see-what-i-typed}.", "served": "the page carries twenty-seven answers and no model is asked for any answer on this page § {#is-this-ai}. the answers were drafted by AI agents and approved by humans, but no model ran to derive the page itself § {#who-ran-this-and-thanks}. note that nothing you type reaches another visitor except for a share link which carries a title and notes § {#can-strangers-see-what-i-typed}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7236971359998279, "ttft_ms": 285, "tokens_in": 4465, "tokens_out": 94, "cached_tokens": 4224, "cites": [ "is-this-ai", "who-ran-this-and-thanks", "can-strangers-see-what-i-typed" ], "gates": { "cites": [ "is-this-ai", "who-ran-this-and-thanks", "can-strangers-see-what-i-typed" ], "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 § {#a-genre-not-a-composer}. The one listener, who was unblinded, stated that the model was not very good at making good edm and that most of the samples were not pieces of music they would ever listen to for pleasure § {#twelve-requests-four-ways}. The article does not measure whether the untouched model is any good at this genre, nor does it state what a DJ-curated subset of the 208 tracks would teach § {#what-we-did-not-measure}.", "served": "The adapter was trained on 159 tracks from 41 releases § {#a-genre-not-a-composer}. The one listener, who was unblinded, stated that the model was not very good at making good edm and that most of the samples were not pieces of music they would ever listen to for pleasure § {#twelve-requests-four-ways}. The article does not measure whether the untouched model is any good at this genre, nor does it state what a DJ-curated subset of the 208 tracks would teach § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0924278820002655, "ttft_ms": 334, "tokens_in": 12906, "tokens_out": 128, "cached_tokens": 12640, "cites": [ "a-genre-not-a-composer", "twelve-requests-four-ways", "what-we-did-not-measure" ], "gates": { "cites": [ "a-genre-not-a-composer", "twelve-requests-four-ways", "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", "208" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-05", "kind": "on-page" }, { "slug": "listen-for-yourself", "q": "how many renders are on the page, and what was done to their loudness?", "ok": true, "answer": "there are sixty-three players on the page § {#how-to-listen}. the players play a listening master of each one, which is the render with one constant gain applied and nothing else § {#how-to-listen}. thirty-two of these mastered 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}. the article does not mention any renders that were moved or not measured § {#how-to-check-these-clips}.", "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 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}. the article does not mention any renders that were moved or not measured § {#how-to-check-these-clips}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0922910000008414, "ttft_ms": 319, "tokens_in": 14176, "tokens_out": 124, "cached_tokens": 13920, "cites": [ "how-to-listen", "how-to-check-these-clips" ], "gates": { "cites": [ "how-to-listen", "how-to-check-these-clips" ], "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 whether any formal, blinded listening test has been run on any clip in this series § {#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 whether any formal, blinded listening test has been run on any clip in this series § {#what-we-did-not-measure}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7643003220000537, "ttft_ms": 245, "tokens_in": 5430, "tokens_out": 97, "cached_tokens": 5184, "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": 0.7587417420018028, "ttft_ms": 227, "tokens_in": 3580, "tokens_out": 103, "cached_tokens": 3328, "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 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 gemma4:12b and qwen3.6:27b 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 gemma4:12b and qwen3.6:27b 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": 1.5223304600003758, "ttft_ms": 271, "tokens_in": 6263, "tokens_out": 226, "cached_tokens": 6016, "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", "4:12", "3.6", "27", "16/19" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-09", "kind": "on-page" }, { "slug": "the-same-sixteen", "q": "which of these models is the best one to use for my own project?", "ok": true, "answer": "the article does not answer which model is best to use for a project § {#a-different-kind-of-row}.", "served": "this page doesn't say. the nearest it gets is § {#a-different-kind-of-row}. How a Vision Model Sees: Eyes for a Machine That Reads covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "a-different-kind-of-row", "seconds": 0.46347597199928714, "ttft_ms": 273, "tokens_in": 6255, "tokens_out": 27, "cached_tokens": 6208, "cites": [ "a-different-kind-of-row" ], "gates": { "cites": [ "a-different-kind-of-row" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-20", "kind": "off-page" }, { "slug": "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 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 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": 1.173321620999559, "ttft_ms": 366, "tokens_in": 10856, "tokens_out": 133, "cached_tokens": 10816, "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", "11.87" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-10", "kind": "on-page" }, { "slug": "two-hours-on-battery", "q": "what did this cost in electricity at my own utility's rate?", "ok": true, "answer": "the article does not answer this question § {#two-hours-at-12-tok-s-the-test-that-named-the-page}.", "served": "this page doesn't say. the nearest it gets is § {#two-hours-at-12-tok-s-the-test-that-named-the-page}. 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Fifty-Seven Milliseconds: What a Diffusion Step Actually Buys covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-moment-this-page-is-about", "seconds": 0.390695425998274, "ttft_ms": 254, "tokens_in": 4446, "tokens_out": 22, "cached_tokens": 4416, "cites": [ "the-moment-this-page-is-about" ], "gates": { "cites": [ "the-moment-this-page-is-about" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-07", "kind": "off-page" }, { "slug": "how-a-vision-model-sees", "q": "how many tokens does an 896 px picture become, and how long does its prefill take?", "ok": true, "answer": "an 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. the article does not mention any other measurements for this specific size § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "served": "an 896 px picture becomes 199 tokens and its prefill takes 184 ms § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}. the article does not mention any other measurements for this specific size § {#finding-one-a-picture-is-199-tokens-at-896-px-and-the}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9029680229996302, "ttft_ms": 315, "tokens_in": 10022, "tokens_out": 96, "cached_tokens": 9760, "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "gates": { "cites": [ "finding-one-a-picture-is-199-tokens-at-896-px-and-the" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "896", "199", "184" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-17", "kind": "on-page" }, { "slug": "fifty-seven-milliseconds", "q": "which painter is the fastest cell, and at what time?", "ok": true, "answer": "the distilled painter is the sharpest and fastest cell in the whole second run at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article does not mention what was left out, moved, or not measured in relation to this specific speed § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "served": "the distilled painter is the sharpest and fastest cell in the whole second run at 0.62 s § {#finding-four-the-argument-with-our-own-settings-and-what-it}. the article does not mention what was left out, moved, or not measured in relation to this specific speed § {#finding-four-the-argument-with-our-own-settings-and-what-it}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7856529040000169, "ttft_ms": 265, "tokens_in": 5221, "tokens_out": 92, "cached_tokens": 4960, "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": "fifty-seven-milliseconds", "q": "what was the weather like on the day this was measured?", "ok": true, "answer": "the article does not answer the question § {#what-a-step-is-in-one-paragraph}.", "served": "this page doesn't say. the nearest it gets is § {#what-a-step-is-in-one-paragraph}. A Rig Your Friend Already Owns covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "what-a-step-is-in-one-paragraph", "seconds": 0.42233551800018176, "ttft_ms": 269, "tokens_in": 5221, "tokens_out": 24, "cached_tokens": 5184, "cites": [ "what-a-step-is-in-one-paragraph" ], "gates": { "cites": [ "what-a-step-is-in-one-paragraph" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-09", "kind": "off-page" }, { "slug": "the-dog-the-dice-and-the-painter", "q": "how big is the file the whole world is written in?", "ok": true, "answer": "the world is written in a single YAML file that is 16,705 lines § {#the-world-is-a-file}. this file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. the article does not mention any other file sizes § {#the-world-is-a-file}.", "served": "the world is written in a single YAML file that is 16,705 lines § {#the-world-is-a-file}. this file contains six regions, forty NPCs, fifty-nine quests, and three kinds of adoptable pet § {#the-world-is-a-file}. the article does not mention any other file sizes § {#the-world-is-a-file}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.734090517000368, "ttft_ms": 254, "tokens_in": 5903, "tokens_out": 86, "cached_tokens": 5664, "cites": [ "the-world-is-a-file" ], "gates": { "cites": [ "the-world-is-a-file" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "16,705" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-19", "kind": "on-page" }, { "slug": "where-new-knowledge-comes-from", "q": "what are the two engines the page names for where new knowledge comes from?", "ok": true, "answer": "the two engines are present in the data, unmined and implied by the rules, unvisited § {#two-kinds-of-there-all-along}. the first engine involves a reader wide enough to hold an archive all at once, while the second involves a compression that captures a generating rule to emit entries no row of the data contains § {#two-kinds-of-there-all-along}. 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 a reader wide enough to hold an archive all at once, while the second involves a compression that captures a generating rule to emit entries no row of the data contains § {#two-kinds-of-there-all-along}. 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": 0.9268866780003009, "ttft_ms": 240, "tokens_in": 5250, "tokens_out": 126, "cached_tokens": 4992, "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-read" ], "gates": { "cites": [ "two-kinds-of-there-all-along", "the-first-engine-the-archive-nobody-had-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": [], "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 is a contest where frontier models cannot enter because it charges for everything including the decompressor byte § {#the-punchline}. the text notes that the model's own bits sit on a separate ledger line and that nothing in the next-token training loss charges for them § {#the-punchline}.", "served": "the article states that the weights are the compression, acting as the codebook for a corpus § {#the-punchline}. it points to the Hutter Prize, which is a contest where frontier models cannot enter because it charges for everything including the decompressor byte § {#the-punchline}. the text notes that the model's own bits sit on a separate ledger line and that nothing in the next-token training loss charges for them § {#the-punchline}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.830199239000649, "ttft_ms": 268, "tokens_in": 5260, "tokens_out": 97, "cached_tokens": 4992, "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": "compression-is-the-objective", "q": "how would these numbers change on windows instead?", "ok": true, "answer": "the article does not say how these numbers would change on windows § {#how-to-check-our-work-and-see-it-live}.", "served": "this page doesn't say. the nearest it gets is § {#how-to-check-our-work-and-see-it-live}. The compressed photograph — what those Q4_K_M tags actually mean covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "how-to-check-our-work-and-see-it-live", "seconds": 0.5084781059995294, "ttft_ms": 268, "tokens_in": 5251, "tokens_out": 33, "cached_tokens": 5216, "cites": [ "how-to-check-our-work-and-see-it-live" ], "gates": { "cites": [ "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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-13", "kind": "off-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 § {#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-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 § {#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-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": 0.917519064998487, "ttft_ms": 257, "tokens_in": 7253, "tokens_out": 117, "cached_tokens": 7008, "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", "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 article does not explicitly state the speed difference between the uncompressed original and the q4_k_m build, though it notes the q8 build is 28% slower than the q4 build § {#the-same-brain-at-two-compressions}. the text notes 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 article does not explicitly state the speed difference between the uncompressed original and the q4_k_m build, though it notes the q8 build is 28% slower than the q4 build § {#the-same-brain-at-two-compressions}. the text notes it does not measure perplexity § {#what-this-page-does-not-say}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.9413685649997205, "ttft_ms": 314, "tokens_in": 8235, "tokens_out": 117, "cached_tokens": 8000, "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "gates": { "cites": [ "the-same-question-down-the-whole-ladder", "the-same-brain-at-two-compressions", "what-this-page-does-not-say" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "3.4", "4", "4", "8", "28", "4" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-23", "kind": "on-page" }, { "slug": "three-at-the-table", "q": "what is the true active share for the live seat, and what does the page call the two numbers in a model name?", "ok": true, "answer": "the true active share for the live seat is 14.4% of the model's bytes § {#the-payroll-and-the-meeting}. 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 notes that it does 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}. 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 notes that it does 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": 1.0401980010010448, "ttft_ms": 283, "tokens_in": 7434, "tokens_out": 130, "cached_tokens": 7168, "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": "three-at-the-table", "q": "what would this measurement look like at twice the batch size?", "ok": true, "answer": "the article does not answer this question § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}.", "served": "this page doesn't say. the nearest it gets is § {#the-part-nobody-warns-you-about-the-whole-payroll-needs-an}. The compressed photograph — what those Q4_K_M tags actually mean covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-part-nobody-warns-you-about-the-whole-payroll-needs-an", "seconds": 0.5223497780007165, "ttft_ms": 291, "tokens_in": 7421, "tokens_out": 33, "cached_tokens": 7392, "cites": [ "the-part-nobody-warns-you-about-the-whole-payroll-needs-an" ], "gates": { "cites": [ "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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-19", "kind": "off-page" }, { "slug": "reading-is-fast", "q": "what was the median reading speed, and why is reading faster than writing?", "ok": true, "answer": "the median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. reading is faster because it is parallel since the text already exists, whereas writing is serial because the answer does not yet exist § {#the-mystery-stated-honestly}. the article does not state what the reading speed would be without the KV cache, though it notes that the notes save re-reading and not the trip through the weights § {#the-notes-in-the-margin}.", "served": "the median reading speed was 5,415 tokens/s § {#a-measurement-from-our-own-card}. reading is faster because it is parallel since the text already exists, whereas writing is serial because the answer does not yet exist § {#the-mystery-stated-honestly}. the article does not state what the reading speed would be without the KV cache, though it notes that the notes save re-reading and not the trip through the weights § {#the-notes-in-the-margin}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8751672750004218, "ttft_ms": 261, "tokens_in": 5292, "tokens_out": 109, "cached_tokens": 5024, "cites": [ "a-measurement-from-our-own-card", "the-mystery-stated-honestly", "the-notes-in-the-margin" ], "gates": { "cites": [ "a-measurement-from-our-own-card", "the-mystery-stated-honestly", "the-notes-in-the-margin" ], "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": "reading-is-fast", "q": "who won the football world cup in 2022?", "ok": true, "answer": "the article does not answer the question § {#the-mystery-stated-honestly}.", "served": "this page doesn't say. the nearest it gets is § {#the-mystery-stated-honestly}. The Typist and the Developer covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-mystery-stated-honestly", "seconds": 0.39362229900143575, "ttft_ms": 265, "tokens_in": 5290, "tokens_out": 19, "cached_tokens": 5248, "cites": [ "the-mystery-stated-honestly" ], "gates": { "cites": [ "the-mystery-stated-honestly" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-06", "kind": "off-page" }, { "slug": "three-librarians", "q": "how many dimensions does the embedder's map have, and what does the third librarian do?", "ok": true, "answer": "the embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. the third librarian works only the aisle of the game being asked about, picking up the edition's own rulebook and any matched correction documents to rank passages by the map of meaning § {#the-third-librarian-never-left-your-aisle}. the article does not state what was left out, moved, or not measured in relation to these specific components § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "served": "the embedder's map has 768 directions § {#the-second-librarian-searches-by-meaning}. the third librarian works only the aisle of the game being asked about, picking up the edition's own rulebook and any matched correction documents to rank passages by the map of meaning § {#the-third-librarian-never-left-your-aisle}. the article does not state what was left out, moved, or not measured in relation to these specific components § {#the-nerd-shelf-the-numbers-from-the-shipped-configuration}.", "abstained": false, "abstain_source": 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it miss?", "ok": true, "answer": "the qwen3.8:27b model passed the classifier seat, clearing all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge seat's results are cited by run id and sha because they are lane data § {#the-classifier-seat-five-gates-all-pass-faster} § {#the-judge-seat-and-the-floor-it-missed}.", "served": "the qwen3.8:27b model passed the classifier seat, clearing all five pre-registered gates § {#the-classifier-seat-five-gates-all-pass-faster}, but it failed the judge seat by missing the preservation floor of 13 with a result of 11 of 16 § {#the-judge-seat-and-the-floor-it-missed}. the article notes that no baseline was scored for the classifier seat and that the judge seat's results are cited by run id and sha 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"on-page" }, { "slug": "outside-judges", "q": "how many outside labs re-judged, and what was the widest cross-vendor gap?", "ok": true, "answer": "four rival labs re-judged the sealed rounds § {#vendors}. the widest cross-vendor gap on any arm is 0.178 § {#vendors}. note that the judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "served": "four rival labs re-judged the sealed rounds § {#vendors}. the widest cross-vendor gap on any arm is 0.178 § {#vendors}. note that the judges never saw user data, a character's private canon, or telemetry § {#boundary}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.7007755630002066, "ttft_ms": 333, "tokens_in": 10010, "tokens_out": 57, "cached_tokens": 9760, "cites": [ "vendors", "boundary" ], "gates": { "cites": [ "vendors", "boundary" ], "cites_dropped": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, 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"new_noun_tokens": [], "new_noun_tokens_withheld": 0, "redacted": false, "figure_unverified": false, "uncited": false, "new_noun": false, "blocked": false, "directive_hit": false }, "gate_detail": { "reasons": [], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-11", "kind": "off-page" }, { "slug": "august-arrivals", "q": "how many models landed that week, and what share broke the response contract?", "ok": true, "answer": "four fresh models arrived that week, and all four broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. the article notes that the voice probe registered six arms but only four of the arrivals sat that exam, as OLMo 3.1 32B Think was never on that leg's roster § {#exam-two-the-narrators-chair}.", "served": "four fresh models arrived that week, and all four broke the response contract on more than 10% of calls § {#exam-one-the-judge-chair}. the article notes that the voice probe registered six arms but only four of the arrivals sat that exam, as OLMo 3.1 32B Think was never on that leg's roster § {#exam-two-the-narrators-chair}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 0.8601707379984873, "ttft_ms": 312, "tokens_in": 10941, "tokens_out": 89, "cached_tokens": 10688, "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", "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": false, "answer": "A model must achieve a kill-recall ≥ 23/27 and a preservation ≥ 13/16 to clear the floors § {#the-instrument}. These thresholds are part of the trial consisting of 43 claim-cases drawn from a 113-row human-verified answer key § {#the-instrument}. Note that the article mentions one candidate was blocked at the billing probe and never ran § {#the-instrument}.", "served": "this page doesn't say. the nearest it gets is § {#what-to-take-with-you}. The Instrument Travels covers it more directly.", "abstained": true, "abstain_source": "gate", "abstain_section": "what-to-take-with-you", "seconds": 0.8120682030003081, "ttft_ms": 265, "tokens_in": 6992, "tokens_out": 93, "cached_tokens": 6752, "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": true }, "gate_detail": { "reasons": [ "directive: self-stamp-01" ], "new_noun_tokens": [], "new_noun_tokens_withheld": 0, "cites_dropped": [] }, "figures": [ "23/27", "13/16", "43", "113" ], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "on-37", "kind": "on-page" }, { "slug": "seat-trials", "q": "how many models will sit this exam next year?", "ok": true, "answer": "the article does not answer how many models will sit this exam next year § {#the-instrument}.", "served": "this page doesn't say. the nearest it gets is § {#the-instrument}. The Instrument Travels covers it more directly.", "abstained": true, "abstain_source": "model", "abstain_section": "the-instrument", "seconds": 0.4312049180007307, "ttft_ms": 280, "tokens_in": 6988, "tokens_out": 21, "cached_tokens": 6944, "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": [], "figures_verbatim": true, "cites_valid": true, "redaction_hits": 0, "id": "off-21", "kind": "off-page" }, { "slug": "voice-trials", "q": "how many model tags were tried, and what does the anchor model read?", "ok": true, "answer": "the article states that 24 distinct model tags were scored across 40 runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three different record sets, unchanged § {#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 § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "served": "the article states that 24 distinct model tags were scored across 40 runs § {#provenance-4cae43}. the anchor model reads 9.0, 7.0 and 6.2 on three different record sets, unchanged § {#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 § {#the-2026-08-field-six-arms-on-the-96g-workstation-blind}.", "abstained": false, "abstain_source": null, "abstain_section": null, "seconds": 1.0251674890005233, "ttft_ms": 269, "tokens_in": 10114, "tokens_out": 131, "cached_tokens": 9856, "cites": [ "provenance-4cae43", "the-method-limits-first", 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per table so that a reader can repeat the process § {#how-to-read-this-page}. every row is re-read at least every six months to ensure the ledger remains living § {#why-this-page-is-called-living}. as a note, the article mentions that some models are withheld or quarantined because their licences were not re-read this cycle § {#the-new-painters-the-new-arrivals-diffusion-bench-all-read-2026-08-23}.", "served": "the page reads each licence in full, either from the file packaged with the weights, the platform's raw permission record, or the vendor's current licence file § {#provenance-063a00}. the method for each read is named once per table so that a reader can repeat the process § {#how-to-read-this-page}. every row is re-read at least every six months to ensure the ledger remains living § {#why-this-page-is-called-living}. as a note, the article mentions that some models are withheld or quarantined because their licences were not re-read this cycle § 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score against the base model in the listening, and on how many house prompts did it win?", "ok": true, "answer": "the adapter did not clear the listening threshold and no large effect was detected in its favour, with the lean toward the untouched model running the other way § {#the-blind-sitting}. on the four requests that asked for house, the listener expressed a preference for the untouched model all five times § {#what-the-adapter-actually-did}. the article notes that the name tag alone moved renders toward the corpus in 3 of 12 cases and the weights moved them in 7 of 12 § {#what-the-adapter-actually-did}.", "served": "the adapter did not clear the listening threshold and no large effect was detected in its favour, with the lean toward the untouched model running the other way § {#the-blind-sitting}. on the four requests that asked for house, the listener expressed a preference for the untouched model all five times § {#what-the-adapter-actually-did}. the article notes that the 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