Group 1 - Microsoft's "landfill" plan involves collaborating with Vaulted Deep to collect human and animal waste, converting it into bio-sludge for deep underground storage to prevent greenhouse gas emissions [1] - The project aims to process over 4 million tons of carbon equivalent by 2038, with an estimated cost of $1.7 billion, allowing Microsoft to gain carbon credits and tax incentives under the U.S. 45Q tax credit mechanism [1] - The initiative reflects the broader trend of tech companies exploring unconventional carbon offset methods due to the increasing carbon footprint associated with AI development [2][6] Group 2 - Various innovative carbon offset methods are emerging globally, such as Iceland's Carbfix project that converts CO2 into rock and Switzerland's Climeworks capturing atmospheric CO2 for beverage production [2] - The "whale carbon credit" initiative recognizes whales as significant carbon sinks, allowing companies to purchase credits for whale conservation, thus promoting marine carbon absorption [3] - China's unique approaches to carbon reduction include seed paper for event credentials that can grow into plants and bamboo carbon trading that turns environmental protection into economic benefits [4][5] Group 3 - The "wind-solar-fish" integrated project in Jiangsu combines wind power, solar panels, and aquaculture for efficient resource utilization [5] - The "Carbon Benefit Tianfu" mechanism in Chengdu incentivizes low-carbon behaviors among citizens through rewards, making carbon reduction a part of daily life [5] - Critics argue that effective carbon reduction should focus on reducing emissions at the source rather than relying on purchasing carbon credits, highlighting the challenges faced by the AI industry in achieving carbon neutrality [6][7] Group 4 - China's AI development is characterized by proactive measures, such as the DeepSeek model that significantly reduces computational demands compared to traditional models, showcasing a commitment to sustainable practices [8] - The integration of green principles into technological innovation is essential for achieving a balance between development and environmental responsibility, positioning sustainability as a competitive advantage in the tech industry [8]

你对AI说的每一句「谢谢」， 也许正在悄悄被「记录在案」。 来源｜ APPSO（ID：appsolution） 封面来源 ｜ Unsplash APPSO . AI 第一新媒体，「超级个体」的灵感指南。 #AIGC #智能设备 #独特应用 #Generative AI 以下文章来源于APPSO ，作者发现明日产品的 朋友，你有没有对ChatGPT说过一句「谢谢」？ 最近，一位X网友向OpenAI CEO Sam Altman提问：「我很好奇，人们在和模型互动时频繁说『请』和『谢谢』，到底会让OpenAI多花多少钱的电 费？」 尽管没有精确的统计数据，但Altman还是半开玩笑地给出了一个估算——千万美元。他也顺势补了一句，这笔钱到底还是「花得值得」的。 去年底，百度发布了2024年度AI提示词。 数据显示，在文小言APP上，「答案」是最热的提示词，总计出现超过1亿次。而最常被敲进对话框的词汇还包括「为什么」「是什么」「帮我」「怎 么」，以及上千万次「谢谢」。 但你有没有想过， 每和AI说一句谢谢，究竟需要「吃」掉多少资源？ 凯特·克劳福德（Kate Crawford）在其著作《AI地图集》中指出，AI并非无形 ...