[ES] El impacto ambiental de la inteligencia artificial: energía, agua y sostenibilidad

[ES] El impacto ambiental de la inteligencia artificial: energía, agua y sostenibilidad

Meteorology Matters is testing episodes in English and Spanish.

  • Seasons 1–100: English Episodes
  • Temporadas 101–200: Episodios en Español

La rápida integración de la Inteligencia Artificial (IA) en la vida cotidiana está impulsando una demanda creciente y sin precedentes de recursos computacionales, lo que genera una huella ambiental significativa y creciente. Este informe sintetiza datos clave sobre el consumo de energía y agua de la IA, su contribución a las emisiones de carbono y los residuos electrónicos, y las estrategias emergentes para mitigar estos impactos.

La principal carga ambiental de la IA reside en los enormes centros de datos necesarios para entrenar y operar sus modelos. Estas instalaciones consumieron el 4,4 % de la electricidad de EE. UU. en 2023, una cifra que se proyecta que se triplicará para 2028. A nivel mundial, el consumo de electricidad de los centros de datos se duplicará entre 2022 y 2026, alcanzando un nivel comparable al de todo Japón. Este aumento se debe principalmente a la IA generativa, que requiere energía constante y fiable, lo que aumenta la dependencia de los combustibles fósiles y obliga a ubicar los centros de datos en regiones con redes eléctricas con mayor contenido de carbono.

Más allá de la electricidad, la necesidad de agua de la IA para refrigerar su hardware está generando crisis agudas y localizadas. Los informes indican que el consumo de agua de las principales empresas tecnológicas ha aumentado hasta un 34 % en un solo año, lo que ha sobrecargado los suministros municipales, afectado a las comunidades locales y provocado protestas en regiones desde Estados Unidos hasta Sudamérica.

Un desafío crítico para abordar estos problemas es la falta generalizada de transparencia de las empresas tecnológicas, que tratan sus datos de consumo de recursos como secretos comerciales. Este enfoque de "caja negra" obstaculiza la regulación, la investigación y la rendición de cuentas públicas efectivas. En respuesta, están comenzando a surgir iniciativas legislativas y de estandarización en Estados Unidos y la Unión Europea para exigir la presentación de informes.

Si bien el costo energético de entrenar modelos como GPT-4 es inmenso (estimado en más de 50 gigavatios-hora), la mayor parte de la demanda energética de la IA (80-90 %) proviene ahora de la "inferencia", el uso diario de estos modelos por parte de miles de millones de usuarios. La trayectoria futura apunta a un consumo aún mayor, con el desarrollo de "agentes" de IA y "modelos de razonamiento" que podrían requerir órdenes de magnitud mayores de energía. Las soluciones propuestas se centran en una estrategia multifacética: desarrollar modelos y hardware de IA más eficientes, trasladar los centros de datos a fuentes de energía renovables y fomentar la investigación interdisciplinaria para guiar el desarrollo sostenible.

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Hurricane Ian: Investigation Shows Homeowners Insurance Companies Not Paying Up After 2 Years

Hurricane Ian: Investigation Shows Homeowners Insurance Companies Not Paying Up After 2 Years

A 60 Minutes report on insurer fraud in Florida following Hurricane Ian shows that numerous companies have systematically changed reports in order to deny homeowners of up to 90% of the payment they deserve after catastrophic losses. It focuses on the claims of several licensed adjusters, who allege that insurance carriers were purposefully altering damage reports to reduce payouts to homeowners. These adjusters claim that their reports were edited by desk adjusters who had never even visited the damaged properties, reducing the amount of money the homeowners received. The report alleges that this practice was widespread, affecting many homeowners who were left with significant damage and insufficient funds to repair their homes… and are still awaiting justice even today. While these charges have been presented to the Florida Attorney General’s office, they have failed to prosecute 2 years after Ian struck Southwest Florida in 2022.

3 Okt 202411min

Asheville - Climate Change “Safe Haven”?

Asheville - Climate Change “Safe Haven”?

We explore the devastating floods that hit Asheville, North Carolina, after Hurricane Helene, challenging the city's former reputation as a "climate haven." It explains that climate change is making intense rainfall events more frequent and severe, leaving even high-elevation areas vulnerable. Climate change is exacerbating flooding risks across the United States, including in Appalachia, where the terrain amplifies the impact of heavy rains. We also compare the recent floods to the "Great Flood" of 1916, highlighting the catastrophic devastation caused by heavy rainfall and emphasizing the historical context of similar events in the region. Damage from Helene is extensive, causing significant problems with infrastructure and prompting relief efforts as the full extent of the impact still remains unknown.

3 Okt 202410min

What’s Your Flood Risk? Tools to Help you Determine

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How to determine flood risk for properties in the United States. Yale Climate brings us tools and resources, categorized by the type of information they provide, and it critiques the accuracy and limitations of each. These tools are essential in an era of increasing flood risk due to climate change. We discuss the new Risk Rating 2.0 system implemented by the National Flood Insurance Program, which aims to ensure future payouts do not exceed premiums.

3 Okt 202411min

Hurricane Helene - Bomb after the Lull

Hurricane Helene - Bomb after the Lull

The 2024 Atlantic Hurricane season began as a beast with Hurricane Beryl setting the stage for what was predicted to be an overactive hurricane season. With an August and early September peak season lull, forecasters were questioning the reasoning for the season bottoming out. Then intro Hurricane Helene. Hurricane Helene made landfall in Florida as a category 4 hurricane with maximum sustained winds of 140 mph and a storm surge of 20 feet causing not only one of the highest surges seen in the state of Florida, but also some of the highest storm surge ever recorded in the Tampa Bay Area. As a weakening storm system, Helene continued to dump excess amounts of rain through parts of Georgia and Appalachia, causing serious flash flooding that has caused the death toll to spike in recent days as rescuers scramble to sift through the destruction. Some people are wondering how a warming climate may have been a factor in supercharging Helene

3 Okt 202411min

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