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China National Petroleum Corporation Limited officially released its latest Kunlun large model with 300 billion parameters in Beijing. This significant achievement marks another important breakthrough for China in the field of large model technology, demonstrating the rapid progress and innovative capabilities of state-owned enterprises in the field of artificial intelligence. The new Kunlun large model has made remarkable improvements compared to the previous 700-billion-parameter version released in November 2024. The parameters of the language large model increased from 700 billion to 300 billion, the parameters of the vision large model increased from 3 billion to 44 billion, while those of the multimodal large model were...

Google X's 'moonshot factory' has recently announced the independent development of a new startup, Heritable Agriculture. This new company aims to improve the way crops grow using data and machine learning technologies. Heritable Agriculture stated in a press release that plants are efficient and astonishing systems: 'Plants are solar-powered, carbon-negative self-assembling machines that rely on sunlight and water to thrive.' However, agriculture puts immense pressure on the Earth and its resources.

Recently, an analysis by The Guardian revealed that there may be serious misleading practices by tech companies in handling the environmental impact of their AI data centers. The emission data reported by tech giants like Microsoft, Google, Meta, and Apple significantly diverges from reality. According to this analysis, the actual emissions from these companies are 662% higher than the figures they officially disclose, and this is just the tip of the iceberg, as this study only covers data from 2020 to 2022. Image source note: Image generated by AI, image licensed from service provider Midjou.

A study commissioned by Amazon Web Services (AWS) reveals that using AWS data centers for compute-intensive or artificial intelligence (AI) workloads results in a significant 98% reduction in carbon emissions compared to on-premises data centers. Accenture's research indicates that migrating IT workloads to cloud data centers is an effective strategy to minimize environmental footprints. AWS's global infrastructure is 4.1 times more efficient than on-premises data centers, and Indian organizations have the potential to achieve a 99% reduction in carbon emissions by optimizing AI workloads on AWS. This is attributed to AWS's hardware utilization.

According to The Guardian, Google's increasing reliance on energy-intensive data centers to support its new artificial intelligence products is at risk of undermining its goal of reducing its carbon footprint. Data released by Google on Tuesday showed that its greenhouse gas emissions have grown by 48% over the past five years. The company attributes the growth to the energy consumption of data centers and supply chain emissions. In its annual environmental report, Google also revealed that emis

Using AI to generate images, write emails, or ask chatbots contributes a certain burden to the planet. The energy consumed to generate an image using AI is equivalent to charging a mobile phone fully. The energy consumption for generating text is lower, as generating text 1000 times only consumes 16% of a mobile phone's charging capacity. The use of large generative AI models is more energy-intensive than smaller models.

{1: The UK government will allocate £4 million for green artificial intelligence projects aimed at achieving net-zero emissions by 2050. 2: The project includes using AI to predict the timing of energy production from the grid and achieving decarbonization in agriculture. 3: This initiative aims to promote the development of the clean energy sector and create new job opportunities.}