environment

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#environment

Rising seas will swallow New Orleans. People need to start relocating now

Hacker News Top · 2026-05-25 Cached

A new scientific analysis warns that New Orleans may be surrounded by the Gulf of Mexico by the end of the century due to sea level rise, and calls for immediate planning for relocation to avoid chaos.

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#environment

Why We've Filed a Referendum

Hacker News Top · 2026-05-22 Cached

A resident-led organization called B.E.A.R. has filed a referendum to stop the Stratos Project Data Center in Box Elder County, Utah, citing lack of transparency, unfair tax breaks, water and environmental concerns, and inadequate public input.

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#environment

Why do data centers use fresh water?

Reddit r/ArtificialInteligence · 2026-05-22

This article questions why data centers use fresh water and suggests that coolant water could be recycled and cooled underground, similar to automotive systems, to reduce water consumption.

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#environment

Estimated Emissions and Water Consumption from the Proposed Stratos Data Center

Reddit r/singularity · 2026-05-20 Cached

This article from Utah Clean Energy estimates the proposed Stratos data center in Utah would consume 9 GW of electricity from on-site gas plants, doubling the state's peak demand, and produce significant emissions and water consumption.

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#environment

The biggest data center ever is becoming a huge problem in Utah

The Verge · 2026-05-20 Cached

Utah has approved the Stratos Project, a massive data center spanning 40,000 acres that will consume 9GW of power, raising concerns about environmental damage and water usage despite claims of boosting American AI dominance.

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#environment

Reducing Government Costs and Increasing Access to Greenspaces in the United Kingdom with DINO

Meta AI Blog · 2026-02-08

The UK government is utilizing Meta's DINOv2 model to optimize reforestation efforts, aiming to reduce costs and improve access to greenspaces.

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#environment

Universe

OpenAI Blog · 2016-12-05 Cached

OpenAI Universe is a software platform that enables RL agents to interact with any existing computer program through a VNC-based interface, supporting parallel environment execution at 60 FPS with human demonstrations and automated reward extraction.

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