Kimi Smart Assistant, a subsidiary of Moon's Dark Side, announces the evolution of the Kimi Exploration Version, introducing three major inference abilities: Enhanced Search Intent, Source Analysis, and Chain Thinking. The Enhanced Search Intent capability allows Kimi Exploration Version to convert abstract and ambiguous questions into specific queries, expanding users' true search intentions. The Source Analysis capability enables Kimi Exploration Version to filter through a vast number of search results to select sources that are more authoritative and reliable, providing traceable links down to the paragraph level. The Chain Thinking capability allows Kimi Exploration Version to handle reasoning based on a chain of thought.

Recently, the results of an AI weapon scanning pilot project in New York City left many astonished. The scanning equipment provided by a tech company named Evolv failed to detect a single gun but flagged 12 knives instead. The image source note: Images generated by AI, Image licensed by service provider Midjourney. This trial, which started at the end of July, lasted only a month and produced disappointing results. According to CBS New York, although the equipment detected 12 knives, it did not result in any arrests.

Recently, researchers at Microsoft have introduced a novel AI framework called Auto Evol-Instruct, which can automatically evolve instructional datasets without any human intervention.In the field of artificial intelligence, the development of large language models (LLMs) is crucial, especially in enhancing their ability to follow detailed instructions. Researchers have been exploring ways to improve the datasets used to train LLMs to enhance their performance and adaptability.Traditional evolut

["The generative artificial intelligence market is expected to grow by 65% in the next two years, according to a recent report, and the industry is projected to become a $100 billion sector by 2026.", "OpenAI's ChatGPT became the fastest-growing application in history in just two months, demonstrating the immense potential of generative AI.", "Global demand for generative artificial intelligence continues to rise, with the United States, China, and Germany being the main growth countries in this market.", "The generative artificial intelligence market is expected to continue growing in the future."]

In the video, Guo Degang performs crosstalk in English, which is actually a reinterpretation involving AI technology from a Chinese company called Shiyun Technology. Their product HeyGen is an 'artifact' for AI voice translation and mimicry. HeyGen's traffic has surged against the trend, with users queuing for 7,000 videos, including a Chinese-speaking video featuring Taylor Swift. HeyGen has successfully completed two rounds of financing worth millions of dollars, becoming the latest hit AI application in the domestic market. HeyGen has launched a paid version, but it's yet to be seen if it can effectively address the pain points in video production.

ChatGPT has quietly undergone a major update, now supporting the upload of various files for analysis and the automatic invocation of multiple tools in combination. After the update, ChatGPT possesses a Bing-like style, allowing it to understand which functions to invoke based on user instructions. ChatGPT can use GPT-4V to comprehend image content, utilize Dall-E to generate new images, and then create reports with GPT-4V. Many entrepreneurs are concerned that their innovative ideas can easily be realized by ChatGPT. The evolution of ChatGPT is astonishing and poses a threat to many startup projects.

Recent survey results show that 91% of retailers in the ANZ region are investing in generative artificial intelligence to adapt to the changing needs of shoppers. Millennials show a strong interest in generative AI for shopping, with 52% of millennial consumers expressing a desire to use this technology when seeking gift inspiration. The influence of social media in retail is growing significantly, with digital channels becoming a crucial way to meet the increasing demand. The lines between physical stores and the digital world are becoming increasingly blurred, and loyalty programs are continuously improving as retailers strive to enhance shopper loyalty and market share.

The first year of generative AI has been characterized by technological tools and application exploration, and now it has entered the second stage of proving user value. The biggest issue currently is not a lack of use cases but the inability to continuously demonstrate value. In this second stage, generative AI will focus more on solving real user problems and aligning with human needs. Sequoia Capital believes that excellent generative AI companies will facilitate smoother workflows and produce better outputs. Sequoia Capital has updated the generative AI market map, shifting from a technological model to a classification by application area.