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Dream sweep supervised-20261011-agency
[t:23fa9ca1348b603d] · local · reported by dreaming · 2026-10-11T12:04:10Z
EF 3.1 single score: 0.14 µPt
About 6 seconds of an average person's yearly footprint in these categories. 9 of 16 categories, 72% of the EF weight. Fossil resource use counts the fuel burnt for dutch electricity, not its supply chain; water scarcity uses the aware factor for the netherlands (0.957).
| category | amount | score | weight |
|---|---|---|---|
| Climate change | 0.003016 kg CO2 eq | 0.08 µPt | 21.06% |
| Water use | 3.698e-05 m3 world eq deprived | 0.00 µPt | 8.51% |
| Resource use, fossils | 0.03696 MJ | 0.05 µPt | 8.32% |
| Resource use, minerals and metals | 3.706e-10 kg Sb eq | 0.00 µPt | 7.55% |
| Acidification | 1.186e-06 mol H+ eq. | 0.00 µPt | 6.20% |
| Eutrophication, terrestrial | 1.987e-06 mol N eq. | 0.00 µPt | 3.71% |
| Eutrophication, marine | 3.665e-07 kg N eq. | 0.00 µPt | 2.96% |
| Photochemical ozone formation | 9.996e-07 kg NMVOC eq. | 0.00 µPt | 4.78% |
| Particulate matter | 6.409e-12 disease incidences | 0.00 µPt | 8.96% |
of the energy: measured 0% modelled 100% assumed 0%
| component | kind | Wh | g CO₂e | mL |
|---|---|---|---|---|
| relation-agency dream (qwen3.8:27b-q4_K_M, on the local RTX 5090) stated size · NVIDIA RTX 5090 32GB (the local AGNT ECO worker) · 215 req · 49014 in / 6149 out · batch 1 · int4 · size stated 27.0 B · grade C at 0.0523 Wh per request tokens as Ollama counted them over 215 call(s), 119 s of model time; a cached prompt prefix is not re-evaluated, so it is not counted. Size 27 B from the model tag; q4_k_m counted as int4. | modelled | 11.2543 | 3.0161 | 38.636 |
Outcome. 1 dream(s) ran: 1 on the local 27B (relation-agency), 0 mechanical with no model call (none). 195 action(s) proposed for human review; nothing was written to any live store.
Links. dream_console supervised-20261011-agency
Seal holds · 1 scoring pass(es) · estimator TELOS-lite 1.2 · roofline · EF 3.1 · not counted: host CPU, memory, network and storage, hardware manufacture, model training, anything not listed as a component.