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@cz_binance: Bitcoin surpassed 20.07 million coins mined as of August 2026, leaving only 4.4% more supply. I'd estimate 10-20% of ex…

X AI KOLs Following ↗ · 2026-08-15 Cached

Bitcoin has surpassed 20.07 million coins mined as of August 2026, leaving only 4.4% more supply, with an estimated 10-20% of bitcoins lost, making it a deflationary asset.

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#mining

@a16z: .@AppliedInt CEO Qasar Younis says physical AI can't arrive fast enough: "By putting self-driving and intelligence on m…

X AI KOLs Timeline ↗ · 2026-07-28 Cached

AppliedInt CEO Qasar Younis emphasizes the urgent need for physical AI to address labor shortages and dangerous jobs in farming, trucking, and mining, predicting rapid and significant impact.

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#mining

Optimizing Lithium Production Decisions under Geological, Demand, and Pricing Uncertainties: A POMDP Framework for Multi-Objective Decision Making

arXiv cs.AI ↗ · 2026-06-18 Cached

This paper proposes a POMDP framework for multi-objective decision making in lithium production, addressing geological, demand, and pricing uncertainties to optimize mine opening and extraction method selection. The approach outperforms human-inspired heuristics by dynamically adapting to shifting price regimes through belief state planning.

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#mining

Copper at ATH, resource inflation rampant. Ore grades declining globally. There is no abundance. Just people made redundant. Stop gaslighting.

Reddit r/artificial ↗ · 2026-06-08

An opinion piece argues that AI and automation cannot solve resource inflation and declining ore grades, criticizing the belief that technology alone will create abundance without breakthroughs in material science.

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#mining

AI Infrastructure Has a Physical Weak Spot Nobody Talks About Enough - Copper Supply Shocks

Reddit r/artificial ↗ · 2026-05-26

An earthquake in Chile disrupting copper production highlights the vulnerability of AI infrastructure to raw material supply shocks, as copper is critical for data centers and grid expansion.

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#mining

Don't know where your data is from? Bayesian modeling for unknown coordinates

Hacker News Top ↗ · 2026-05-24 Cached

The article explains how to use Bayesian modeling with Gaussian processes to handle spatial data where the coordinates are observed with error, using a dataset of uranium and vanadium concentrations from Walker Lake as an example.

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