Google today announced the launch of the newly upgraded Gemini model series, which includes Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002. This update not only significantly enhances performance but also brings surprising price discounts, undoubtedly creating a buzz in the AI development community. Firstly, the most eye-catching aspect is the substantial price reduction. The usage cost of the new models has been halved, with a drop of over 50%. At the same time, performance has seen remarkable improvements.

In Maceió, Alagoas, Brazil, G20 leaders reached an important consensus this Friday, deciding to work together to combat misinformation and establish guidelines for the future development of artificial intelligence. This is the first time in G20 history that the issue of misinformation has been explicitly acknowledged, calling on digital platforms to enhance transparency and accountability. Source Note: Image generated by AI, image licensed from provider Midjourney. João Brant, Digital Policy Secretary under Brazilian President Lula, stated in an interview with the Associated Press that G20 representatives emphasized the importance of digital platforms.

The water consumption of data centers has skyrocketed, especially in Virginia, where it has nearly doubled from 2019 to 2023, reflecting a significant global demand for water resources. The water usage by tech giants Microsoft and Google indicates that substantial amounts of water are being consumed in areas facing water scarcity and extreme shortages. However, data centers struggle to implement closed-loop water recycling systems mainly because the water used for humidity control evaporates, particularly in dry regions, which may increase static electricity risks and be detrimental to equipment. As artificial intelligence becomes more widespread, the number of data centers and the demand for water resources continues to grow.

Australian telecom company Telstra and tech giant Microsoft have announced a deepening of their strategic partnership to promote AI innovation and digital transformation in Australia. The two companies will combine Microsoft's advanced AI technologies with Telstra's ultra-fast intercity fiber network, aiming to enhance the AI ecosystem and accelerate the digital transition. Microsoft sees Telstra as a strategic partner in expanding AI infrastructure in Australia, while Telstra's new fiber network will support Microsoft's infrastructure needs.

OpenAI and Anthropic may face losses of up to billions of dollars this year, primarily due to the high costs of training and operating AI models. OpenAI's AI training costs are expected to reach $3 billion, with personnel costs potentially hitting $1.5 billion and rental of Microsoft servers costing nearly $4 billion. Anthropic's situation is more severe, with projected expenses exceeding $2.7 billion, while its revenue is only one-fifth to one-tenth of OpenAI's. The costs of developing and operating AI models are facing intense competition, especially in multimodal scenarios.

Recently, the European Commission announced the launch of several funding programs for generative artificial intelligence. These programs will be implemented under the "Horizon Europe" work projects next year, with a total budget of up to 500 million euros. The goal of this plan is to help the European Union keep pace with the global pace in the field of artificial intelligence, especially in using technologies like ChatGPT to solve industrial issues in the real world.Image Source Note: The imag

July 10, 2024 —— Anthropic Inc. announced today that its AI development platform has introduced new features aimed at simplifying the development process for AI applications. The new features include the ability to generate, test, and evaluate prompts within the Anthropic console, as well as functions for automatically generating test cases and comparing outputs. Writing excellent prompts is now very simple, just describe the task to Claude. The console provides an built-in prompt generator su

At the Bosch Connected World conference, Elon Musk discussed topics such as artificial intelligence, autonomous vehicles, and robotics. Musk expressed concerns about the potential negative impacts of AI technology getting out of control. Tesla aims to achieve full self-driving capabilities and plans to expand into Europe and other regions. The pace of AI technology development is expected to double every six months. Musk predicts that by 2025, we may face a power bottleneck, as the energy consumption of chatbots each year could be enough to support a small country.

Baidu announced its Q4 and full-year financial report for 2023, with total revenue of 134.598 billion yuan and a net profit of 28.7 billion yuan. Revenue growth in Q4 was slightly slower than market expectations, while net profit surged by 44%. Baidu's AI development has been slow, and the market has not acknowledged this, leading to poor stock performance. However, Baidu still has a presence in the domestic AI field, with increasing usage of Wenxin Yiyan and Wenxin large model. Baidu is working hard to make the Wenxin large model a new growth point, collaborating with companies like Samsung and Honor. Baidu's PaddlePaddle community has become an AI learning and training community for AI learners. Baidu has launched multiple initiatives.

Google and Hugging Face recently announced a strategic partnership aimed at advancing open AI and machine learning. This collaboration will integrate Hugging Face's platform with Google Cloud's infrastructure, including Vertex AI, to make generative AI more accessible for developers. The partnership supports developers in quickly and cost-effectively training, fine-tuning, and serving open models on Google Cloud, utilizing AI to optimize infrastructure such as TPUs and GPUs.

ChatGPT has quietly updated a major feature, allowing users to @ any GPTs in the GPT Store during conversations, similar to mentioning someone in a group chat. Users have found that this update changes their interaction with GPTs, allowing for a shared context between different GPTs and opening new workflows. The number of GPTs in the GPT Store has exceeded three million, enabling users to combine different GPTs for more efficient task handling. GPT developers are also inspired, believing that...

As Tesla's stock price declines, Musk seeks more voting power to have a greater influence in the field of artificial intelligence. Tesla is not only an electric vehicle manufacturer but also focuses on AI and machine learning, investing over $1 billion. Musk stated that if his stake is below 25%, he may outsource AI projects, fearing the company could fall under the control of adverse forces. The CEO of Tesla believes the company operates like a group of startups, calling for a comparison with traditional automakers. Musk aims to increase his control over Tesla to more effectively drive AI and machine learning initiatives.

Recent surveys show that AI experts are astonished by the incredible pace of artificial intelligence development, highlighting the division between acceleration proponents and doomsayers in the tech community. The findings indicate that AI experts generally perceive a trend of comprehensive acceleration, with the feasibility of 32 different AI-related tasks brought forward by 1.0 years. For advanced machine intelligence (HLMI) and fully autonomous (FAOL) systems, experts believe their arrival times have been advanced by 13 years and 48 years, respectively, reflecting an optimistic outlook on the pace of automation. 15.6% of experts believe in the speed of AI development.

Adobe's outlook for future sales is lukewarm as generative AI tools fail to quickly boost performance, disappointing investors. The company has lowered its fiscal year revenue forecast to $21.4 billion, indicating that the contributions from generative AI products may take longer to materialize. The recurring revenue in the digital media segment for the new fiscal year falls short of expectations.

NVIDIA's CEO stated that the company will expand its partnerships with leading technology companies in Vietnam. NVIDIA has already invested $250 million in Vietnam and has collaborated with major tech firms. NVIDIA will deepen its partnerships with companies such as Viettel, FPT, Vingroup, and VNG.

At the China Entrepreneur Annual Conference, Zhou Hongyi discussed the craze for AI large models. He urged a rational understanding of the capabilities of large models, emphasizing not to overestimate their current abilities while also not underestimating their future potential. He reminded everyone to fully leverage the strengths of large models while addressing their shortcomings.

Singapore's Deputy Prime Minister Heng Swee Keat announced the national artificial intelligence strategy, aiming to train 15,000 machine learning scientists and engineers. Industry collaborations include partnerships with chip manufacturers and cloud service providers to enhance computing resources and serve tech giants' Asian headquarters. Singapore commits to government incentives to support AI startups, strengthen local talent training programs, and provide Graphics Processing Units (GPUs). This move will accelerate Singapore's growth in the AI field and provide new momentum for global innovation.