Core Insights - The article emphasizes that AI does not understand human emotions or social niceties, such as politeness or gratitude, and operates solely on keyword recognition and semantic patterns [2][3][4] - It highlights that AI's responses are based on pattern recognition from vast datasets rather than genuine understanding or emotional engagement [4][10] - The article suggests that effective communication with AI should be clear and concise, avoiding unnecessary polite phrases that do not enhance the quality of interaction [5][6][19] Communication with AI - AI recognizes low-information words like "please" and "thank you" as noise, which do not contribute additional information to the request [5][7] - The effectiveness of AI communication relies on the clarity and structure of the prompts rather than the politeness of the language used [18][20] - Research indicates that while polite language may activate certain response patterns in service-oriented AI, it does not significantly improve the accuracy of the output [15][16] Practical Recommendations - To enhance AI responsiveness, users should provide specific, clear, and structured prompts, detailing the context and desired outcomes [19][20] - The article advises against relying on polite expressions to improve AI performance, emphasizing that clarity and logical structure are more effective [18][20] - Users are encouraged to focus on the content and format of their requests to achieve better results from AI systems [19]

Group 1 - The 27th China Association for Science and Technology Annual Conference will be held from July 1 to July 31 in Beijing, featuring 1 main forum, 98 thematic forums, and 4 parallel forums [1] - The main forum is scheduled for July 6, with notable speakers including five vice presidents of the China Association for Science and Technology, discussing topics such as quantum technology, biomanufacturing, deep-sea technology, artificial intelligence, and agriculture [1] - The conference aims to release major scientific issues, engineering challenges, and industrial technology problems for 2025, establishing a "guiding standard" for the continuous output of original and disruptive scientific achievements [1] Group 2 - The "Frontiers in Pattern Recognition and Artificial Intelligence" thematic forum will take place on July 6, focusing on the development of pattern recognition and artificial intelligence, including breakthroughs and governance [2] - The 2025 China Science and Technology Journal Development Forum, one of the four parallel forums, will be held on July 10, highlighting the growth of high-impact journals in China, with 56 journals ranked in the top three internationally and 24 ranked first in their fields [2] - The forum will feature five key experts presenting reports and will include four thematic discussion sections to explore innovative development paths for Chinese scientific journals [2]

Group 1 - SoftBank's investment strategy has been criticized for causing significant damage to the companies it invests in and distorting industry behavior [1][55] - The venture capital industry is experiencing a herd mentality, where institutions and partners are afraid to make unique decisions, leading to decreased industry returns and cyclical volatility [7][56] - The current investment environment in artificial intelligence is seen as a potential super cycle, but there are concerns about how to participate effectively without investing in highly capital-intensive projects [8][9] Group 2 - Early success in an investment career can build credibility but may also lead to skipping important learning experiences [5] - The importance of maintaining discipline in investment strategies is highlighted, as fear and greed often influence decision-making [7] - The relationship between founders and investors is crucial, with successful founders often benefiting from close collaboration with their investors [13] Group 3 - The traditional venture capital model can coexist with large investment institutions, but smaller firms must navigate the challenges posed by large funds like SoftBank [10] - The investment landscape is shifting, with a need for smaller firms to leverage their strengths in early-stage investments while managing relationships with larger funds [10][56] - The importance of having a clear value proposition and understanding the target market is emphasized when evaluating new investment opportunities [22][23] Group 4 - The experience of investing in companies like Snowflake illustrates the risks of underestimating the speed of changes in the venture capital market [26][27] - The need for a balance between price sensitivity and investment confidence is crucial, as overemphasis on price can lead to missed opportunities [34] - The venture capital industry is cyclical, and while there may be periods of lower returns, historical trends suggest that the industry will eventually normalize [46][47]