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Podcast: Älva reads Merleau-Ponty, English and Swedish
[t:2120e44b26a4eef8] · claude-code · reported by claude-code · 2026-09-22T19:16:02Z
· generation 1, amends 5a5e048af2c0e42b
EF 3.1 single score: 10.50 µPt
About 12 minutes of an average person's yearly footprint in these categories. 4 of 16 categories, 45% of the EF weight. Fossil resource use is estimated from all primary energy, which overstates it; water scarcity uses the aware world average (1.0); the dutch factor is not loaded.
| category | amount | score | weight |
|---|---|---|---|
| Climate change | 0.1644 kg CO2 eq | 4.58 µPt | 21.06% |
| Water use | 0.003141 m3 world eq deprived | 0.02 µPt | 8.51% |
| Resource use, fossils | 4.588 MJ | 5.87 µPt | 8.32% |
| Resource use, minerals and metals | 2.02e-08 kg Sb eq | 0.02 µPt | 7.55% |
of the energy: measured 0% modelled 0% assumed 100%
| component | kind | Wh | g CO₂e | mL |
|---|---|---|---|---|
| Claude session on 20 September, Fable 5.1 (measured) anthropic/claude-fable-5.1 · NVIDIA H100 SXM5 80GB · 329 req · 1622112 in / 735346 out · batch 32 · bf16 · size inferred 105.8 B · grade G? at 1.6257 Wh per request Measured from this Claude Code session's own transcript: every request on 20 September 2026 (09:56 to 16:18 UTC), 329 requests on claude-fable-5-1. Prompt tokens are the ones actually computed (fresh input plus cache writes); 159,160,084 more were read from the prompt cache and are not recomputed, and loading that cache is not modelled, which makes this low rather than high. The day's work is the whole of this folder's ACTIONS.md, so it includes what grew out of the episode: the standpoint layer, the sensor repairs and café topic 321. The model's size is not published, so it is inferred from i | assumed | 534.8666 | 143.3442 | 2798.957 |
| Claude session on 20 September, Opus 5 (measured) anthropic/claude-opus-5 · NVIDIA H100 SXM5 80GB · 22 req · 68877 in / 17831 out · batch 32 · bf16 · size inferred 78.0 B · grade E? at 0.5306 Wh per request Measured from this Claude Code session's own transcript: every request on 20 September 2026 (09:56 to 16:18 UTC), 22 requests on claude-opus-5. Prompt tokens are the ones actually computed (fresh input plus cache writes); 1,704,629 more were read from the prompt cache and are not recomputed, and loading that cache is not modelled, which makes this low rather than high. The day's work is the whole of this folder's ACTIONS.md, so it includes what grew out of the episode: the standpoint layer, the sensor repairs and café topic 321. The model's size is not published, so it is inferred from its pri | assumed | 11.6741 | 3.1287 | 61.091 |
| Swedish translation with GPT-SW3 40B, on the local RTX 5090 stated size · NVIDIA RTX 5090 32GB (the local AGNT ECO worker) · 40 req · 48000 in / 16000 out · batch 1 · int4 · size stated 40.0 B · grade F at 0.9436 Wh per request 40B is the model's published size. The run was not timed and its tokens were not logged, so the counts are estimated: the Swedish text is about 26,000 characters, roughly 7,500 tokens, and the pipeline ran twice with the fix-up pass, with three input tokens for every output token. A 40B model only fits the 32 GB card quantised, so int4 is assumed. Local means no cooling tower, so no on-site water. | assumed | 37.7442 | 10.1155 | 129.576 |
| Voice, English, the render that was kept 23885.0 character × 0.000364 Wh Characters are measured: 22,392 spoken, 848 of voiced titles and 645 for the corrected sign-off. ElevenLabs publishes no energy figure, so the factor is an order-of-magnitude assumption: this episode was spoken at a measured 14.3 characters a second, so 1,000 characters is about 70 seconds of audio; generation is assumed to run 35 times faster than real time on a 700 W accelerator drawing 595 W, with 1.1 facility overhead: 2 s x 595 W x 1.1 = 1,309 J = 0.364 Wh per 1,000 characters. | assumed | 8.6941 | 2.3300 | 45.496 |
| Voice, English, the second render that was thrown away 33408.0 character × 0.000364 Wh Measured from the credits: 55,800 characters were spent on the English episode against 22,392 kept, because a second render was started while the first was still running. Same assumed factor as the kept render. This line is the session's sufficiency finding: it cost more than the kept audio and produced nothing. | assumed | 12.1605 | 3.2590 | 63.636 |
| Voice, Swedish 22400.0 character × 0.000364 Wh 22,400 characters, measured, on Turbo v2.5 with the Swedish language code, no fallbacks. Same assumed factor. | assumed | 8.1536 | 2.1852 | 42.668 |
Outcome. Two episodes published: English (café topic 319, 27.6 min) and Swedish (café topic 322, 30.6 min), 88 chips checked before posting, and the work that grew out of them the same day. Not counted: ingesting the seven Merleau-Ponty books into the library, a shared job serving other work.
Links. cafe_topic 319 · cafe_topic 322 · local_path 260920_podcast
Seal holds · 2 scoring pass(es) · estimator TELOS-lite 1.1 · roofline · EF 3.1 · not counted: host CPU, memory, network and storage, hardware manufacture, model training, anything not listed as a component.