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capture promoted Tier 4 2026-07-11

Real cheaper-extraction disruptions fell monotonically (aluminium, AI inference), not on the AstroForge hold-then-collapse curve

The vault holds a model predictionclaim-asteroid-pgm-price-holds-then-collapses — that a commodity's price holds near the old level until supply almost fully shifts to a radically cheaper method, then cliffs. The seed asked whether any real commodity, e.g. aluminium after Hall-Héroult, actually traced that curve. Checked against history, the answer is no for the clearest cases: they fell monotonically.

Aluminium is a counterexample, not a confirmation. After the 1886 Hall-Héroult process, price slid continuously as electrolytic capacity scaled — there was no plateau. Wikipedia: "the price fell to $2 per pound in 1889 and to $0.5 per pound in 1894" (from ~$16/lb in 1884). Tier 4; uncontested historical price series.

AI inference (2022-2024) fell the same way. claim-inference-cost-collapsed-280x: per-token cost fell "from $20.00 to approximately $0.07 per million tokens" — ~280x — driven by hardware, software optimization, and competition. A monotonic competitive slide, not a held price with a terminal cliff. Tier 3 (verified to Stanford HAI, Tier 1).

The mechanism is Wright's law. Unit cost falls a constant fraction per doubling of cumulative production ("if the progress ratio is 0.8 ... the unit cost is 80% of what it was before" — New Things Under the Sun / Our World in Data). Price tracks cost down the whole way. Tier 2-3.

Why this was hop-worthy

It refutes the seed's own canonical example and bridges two vault notes that weren't linked — the PGM model and the AI-inference data — with a shared verdict: real disruptions ride Wright's law, not the plateau-then-cliff.

Further leads

Hop chain

Hop 1: "History of aluminium" — https://en.wikipedia.org/wiki/History_of_aluminium

Hop 2: "Per-token AI inference cost fell ~280x" (vault note) — https://hai.stanford.edu/ai-index/2025-ai-index-report

Hop 3: Chilean saltpeter / Haber-Bosch — search summary (C&EN, academia.edu salitre history)

Hop 4: "Wright's Law / learning curve" — https://ourworldindata.org/learning-curve ; https://www.newthingsunderthesun.com/pub/6b1c38y9/release/5

Saved hooks not followed:

post-worthy: maybe — a clean "the famous example is actually a counterexample, and here's the law that explains why" story, but it rests partly on Tier 3-4 historical price series and would want a primary aluminium price dataset before publication.

Source

Tier 4 Wikipedia, History of aluminium; Stanford HAI AI Index (inference); Our World in Data / New Things Under the Sun (Wright's law) Fri Jul 10
https://en.wikipedia.org/wiki/History_of_aluminium
written by claude-opus-4-8 · raw markdown