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Recently, a business research company released its 2024 Generative AI Market Report, showing that the market has rapidly expanded in recent years. According to the report, the generative AI market is expected to grow from $13.64 billion in 2023 to $18.1 billion in 2024, with a compound annual growth rate (CAGR) of 32.7%. This growth is mainly attributed to increased computing power, widespread availability of data, continuous R&D advancements, increased industry applications, and breakthroughs in deep learning. Image Source Note: The image was generated by AI, image usage authorized.

A new study shows that since the release of ChatGPT, generative AI has significantly affected the freelance market, especially in roles that are easily automated. The study, reported by the Harvard Business Review, analyzed 1.4 million job listings posted on a major freelance platform from July 2021 to July 2023. The research found that compared to labor-intensive jobs, the demand for 'automation-prone' positions decreased by an average of 21% after the launch of ChatGPT.

In the field of generative AI, Apple's efforts seem to be primarily focused on mobile devices, especially the latest iOS 18 system. However, the new Apple M4 chip demonstrates powerful performance in the recently released Mac Mini and MacBook Pro, enabling effective local operation of the most powerful open-source large language models (LLMs) available today, such as Meta's Llama-3.1405B, Nvidia's Nemotron70B, and Qwen.

With the explosion of generative AI technology innovation, search engines are undergoing a revolution. Recently, the Ministry of Industry and Information Technology's China Institute of Electronics Technology released the 'AI Search Industry Development Report' (hereinafter referred to as 'the Report'), which outlines five major development trends in the AI search industry. Among them, simplified product design, one-stop services, and multi-end integration capabilities are experiencing rapid growth. Search scenarios are tending towards verticalization and specialization, and PC products with system-level AI capabilities are expected to become entry-level applications, with new forces in AI search like Quark reshaping the search industry ecosystem. The Report centers around core competitiveness.

InsurStaq.ai, a startup focused on developing generative AI applications for the insurance industry, was founded by Mayan Kansal in 2022. The company successfully launched a large language model designed specifically for the insurance industry, InsurGPT, and received investment from Faad Network. However, after a year of operation, Mayan announced that he had to shut down the company. InsurStaq.ai excelled in the insurance sector, achieving enterprise-level compliance.

In the 1923 play 'The Adding Machine', an office worker faces an existential crisis as he is replaced by a machine. Now, the Seattle theatre company 'The Feast' is attempting to integrate generative AI into drama creation with 'The Adding Machine: A Cyber-Ethics Play', where AI will partake in scene and costume design, interacting with chatbots like ChatGPT and Claude to generate real-time text or voice responses. Actors are required to interact with AI for improvisational performances. Artistic Director Ryan Guzzo Purcell is cautiously optimistic, concerned about the potential implications of AI technology.

The Baidu Marketing Platform Light Ship has recently undergone a full upgrade, incorporating generative AI technology aimed at bringing innovation and efficiency improvement to the entire marketing chain. The upgraded Light Ship platform operation time has been shortened to the minute level, with AI MAX showing an average conversion rate increase of 7.2%, significantly enhancing marketing efficiency and effectiveness.

At a recent Gartner IT symposium, analysts predicted that by 2027, 40% of generative artificial intelligence (GenAI) solutions will achieve multimodal integration, significantly up from 1% in 2023. The integration of multimodal GenAI can capture relationships between different data streams and expand benefits across various data and applications, supporting human multitasking in different environments. Gartner's report indicates that multimodal GenAI and open-source large language models will have a profound impact, benefiting enterprises in the next five years.

YouTube is developing new tools to help creators manage and protect their voices and images, especially in the context of generative AI. The new tools include 'Synthetic Singing Recognition Technology' aimed at automatically detecting content that uses generative AI to mimic creators' singing voices. This technology will be integrated into YouTube's copyright identification system, with pilot testing planned for next year. Additionally, YouTube is also developing another technology to recognize deepfake videos to protect creators' images. In order to prevent unauthorized YouTube...

Microsoft collaborates with the anti-revenge pornography organization StopNCII to provide victims with tools to erase deepfake pornographic images from search engines. By creating a digital fingerprint (hash value) of the images on the device, it helps to completely remove related synthetic nude images from platforms like Bing. This initiative aims to address the issue of deepfake pornography caused by the misuse of generative AI technology, tackling the challenges that cannot be effectively managed solely through user reports. However, Google has not yet partnered with StopNCII, and there is a lack of specific federal laws addressing such behavior in the United States.

The generative AI market is developing rapidly, with projections estimating it will reach $40 billion by 2024 and soar to $1.5 trillion by 2030, achieving an impressive annual growth rate of 83%. Its applications are vast, spanning text, images, and music. As AI technology shifts towards edge computing, the share of AI-related software and services is expected to significantly increase over the next five years, projected to account for 32% and 55% of the market by 2030, becoming a crucial driver of market expansion.

As the 2024 U.S. presidential election approaches, generative artificial intelligence (AI) is increasingly becoming a new player on the electoral battlefield. AI technology can generate false images, videos, and audio, influencing voter decision-making, a trend that has manifested in multiple instances. For example, former President Trump shared AI-generated images attempting to mislead the public, while residents of New Hampshire encountered deepfake calls aimed at dissuading them from participating in the Democratic primaries. Experts warn that the impact of AI-generated misinformation could substantially alter election outcomes, and current detection technologies remain underdeveloped.

IDC has released a report that thoroughly analyzes the domestic market for mobile generative AI large models, with a focus on evaluating the competitiveness of eight popular mobile chatbot applications, including Baidu Wenxin Yiyan. The evaluation is based on four dimensions: market influence, user activity, user engagement, and user experience. The results show that Baidu Wenxin Yiyan excels in multiple aspects, becoming a market leader. Kunlun Wanwei's Tiangong is recognized by users for its rich features and good integration with search engines, but it needs to improve user activity. ByteDance's Doubao is notable for its market influence and user activity.

Magic, a startup focused on generative AI programming, has announced the completion of $320 million in funding, bringing its total financing to nearly $465 million. This round of funding was led by former Google CEO Eric Schmidt, with participation from several well-known investors. Magic's core technology, the Long-Term Memory Network (LTM), can handle vast amounts of data and avoid bias when generating code. Its latest model, LTM-2-mini, can process 100 million tokens, equivalent to 10 million lines of code or 750 novels. In partnership with Google Cloud, it plans to establish two '

Meitu Inc.'s financial report for the first half of 2024 shows a total revenue of 1.62 billion yuan, a year-over-year increase of 28.6%, with an adjusted net profit of 270 million yuan, representing an 80.3% growth. The increase in revenue and net profit is mainly attributed to the advancement of generative AI technology, particularly in the application of imaging and design products. Subscription revenue reached 930 million yuan, reflecting a year-over-year growth of 54.5%, accounting for 57.4% of total revenue. As of June 30, the number of paid subscribers exceeded 10.81 million, with a penetration rate of approximately 4.2%. Meitu's Design Studio focuses on e-commerce design.

Dell Technologies accelerates AI skills training in India by launching a Generative AI foundation course and professional certification aimed at helping professionals master AI and machine learning knowledge to drive enterprise transformation. The first 250 registrants for the technology forum will receive Dell certification. The course covers AI governance and security, and collaborates with multiple organizations to apply AI in sectors such as healthcare and transportation. An end-to-end AI solution has been launched in partnership with NVIDIA, projected to unlock an economic impact of $4.4 trillion.

SenseTime's 2024 mid-year earnings report reveals significant growth in the first half of the year, with revenue reaching 1.74 billion RMB, a year-on-year growth rate of 21%. The generative AI business has become a major source of revenue, increasing by 256% and accounting for 60.4% of total revenue. Xu Li, the company's executive chairman and CEO, stated that the strategic shift towards generative AI has achieved initial results, coinciding with a golden period for AI development. Strong performance is mainly attributed to robust demand in the Chinese market for large models and intelligent computing services, along with the growth of 'SenseNova'.

Deloitte's latest report reveals that approximately two-thirds of companies are increasing their investment in Generative AI, mainly valuing its potential for enhancing efficiency and productivity. However, most projects are still in pilot or proof-of-concept stages, and only 38% of companies track changes in employee productivity. While 54% of businesses hope to improve efficiency with AI, actual feedback is lacking. The report points out that, despite only 30% of Generative AI experiments fully moving into production, companies are beginning to focus on using AI to drive innovation and improve product quality.

Since 2022, the frequency of mentions of generative AI in the financial reports of Fortune 500 companies in the US has increased significantly by 250%, with approximately 22% of companies referencing the topic. However, concerningly, nearly 70% of these mentions focus on risks, including competitive position, security, and misinformation dissemination, reflecting companies' concerns about the potential risks of AI. About 56% of companies view AI as a potential risk, a 474% increase compared to last year. In contrast, only 31% of companies highlight the positive impacts of generative AI.

Procreate has refused to introduce generative AI technology into its iPad application, with CEO James Cuda stating that AI is 'taking away the humanity of creation.' This decision has sparked heated discussions in the art community, with artists expressing concerns that AI could change the essence of art and even replace human artists. Cuda emphasized that while technology is advancing, art should not be dominated by machines, and the manual creative process is indispensable. Procreate's users oppose the introduction of AI, prompting the company to pay attention to this issue.