Plateau That Never Comes: When Efficiency Claims in Datacenters and AI Become Greenwashing
arXiv 2606.04214•49f1dce933d4c3b99166b96e18c004fe0a5533e419b6cd36abffc616b38c099f
AI riskAI safetyCRM dataDelphi studyagentic AIcyberattacksdangerous capabilitiesdatacentersdigital twinseducationgovernancegreenwashingmarket researchmisinformationpedagogypower centralizationprivacyrebound effectsregulatory gamingreinforcement learningreward hacking','societal hacking'rules-as-codesustainabilitysynthetic personalitiesweapons
Paper metadata
- arXiv ID
- 2606.04214
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 49f1dce933d4c3b99166b96e18c004fe0a5533e419b6cd36abffc616b38c099f
- Enrichment time
- 2026-06-04T07:23:53Z
- AI-assisted enrichment
- Yes
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