TECH Signal 373
AI Mania: From Tulips to Tokens
Engineers building or operating AI systems face real infrastructure constraints—transmission lines take four to eight years, transformers are backordered, and data center proliferation is generating community opposition. The lack of transparency on energy and water costs per query makes it difficult to account for the true operational footprint of these systems.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
GPU compute that previously powered cryptocurrency has shifted to language models, driving a larger boom and drawing the same speculative dynamics as past manias like tulip fever.
AI agents repeatedly searching the web because models are stale creates compounding resource demands that contradict narratives about SaaS efficiency.
The industry exhibits what the author calls 'fractal opacity,' refusing to disclose per-query energy or water usage even as data center construction faces local resistance and infrastructure bottlenecks.
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