Technology & Future Trends - The pace of change is exponential, requiring proactive shaping of the future rather than passive waiting [1] - Technology is evolving faster than our systems and minds, leading to significant changes in the next 10 years, potentially equivalent to the last 100 years [3] - The focus is shifting from job titles to skills, adaptability, and purpose, emphasizing problem-solving and life design [4] - Emerging platforms are expanding to protect emotional values beyond financial assets [7] Finance & Money - Money is evolving to be intelligent, contextual, connected, customized, and risk-aware, with smart wallets automating savings and investments [6] - Money is transitioning from a physical form to a cloud-based, intelligent, and interactive form, humanizing finance [7] - Over 70% of Gen Z and millennials prefer digital-first platforms powered by AI, quantum computing, blockchain, decentralized financing, and programmable currencies [8] AI & Human Role - AI will create 170 million jobs while replacing 92 million jobs over the next 5 years, according to the World Economic Forum [10] - The emphasis should be on humans being elevated by machines, leveraging empathy, critical thinking, and imagination [9] - The focus should be on how we choose to use AI to build a flexible, meaningful, and inclusive world [9][10] Meaning Economy - People are seeking alignment, values, identity, and purpose beyond paychecks, indicating a shift towards a meaning economy [8] - Profit and purpose are becoming partners, highlighting the importance of values in the modern economy [9]

Data Analysis & Critical Thinking - Flawed data leads to flawed actions, impacting companies, workplaces, governments, and institutions [6] - Critical thinking about data is essential for inclusive, empowering, and accurate actions [7] - Data gaps occur when information is missed or the right questions aren't asked to the right people [9] - Confirmation bias and pre-existing beliefs can skew the interpretation of data [13][14] - Biases in data creation and sharing can lead to skewed actions [14][17] - Overwhelming volume of data can lead to reliance on easily accessible but inaccurate data points [18] Data Manipulation & Misinformation - Disinformation involves deliberately manipulating data to serve specific interests [25] - Media moguls can significantly impact narratives and public perception [26] - AI can amplify existing data flaws and create new ones [31] Examples of Data Flaws - The myth that carrots provide night vision originated from a British propaganda campaign [3][4] - Car crash test mannequins primarily based on male body proportions lead to higher injury rates for women (40-70% more likely to be moderately to seriously injured) [7][8][10] - A 2014 report incorrectly stated 3,000 kidnappings in Nigeria when the actual number was around 300 [20] - Human trafficking affects 40 to 50 million people, representing 05% of the global population [22]

[Music] Right. Before I begin my presentation, quick show of hands. How many of you have followed an order in the past 24 hours. Hands up if you have followed any sort of order.Right. Hands down. Now take a moment to think what was the order.I have a shocking statistic for you all today that reveals some disturbing nature about humans. Did you know that 65% people were willing to shock a stranger. That came from Mgrim's 1963 experiment.It was considered controversial as he studied how ordinary people would ...

[Music] Uh yeah, thanks a lot and first of all hello to everyone. So this is quite an extremely pleasurable moment for myself to be back here at my alma matter to share my views on lessons beyond syllabus. I mean it was here that I was that I first learned.Reach high for the stars lie hidden in your soul. Dream deep for every dream leads the goal. At PI Sangi, I have had many proudful and joyful moments.Stuff that I have learned, lot of stuff that I've learned and memories that I've cherished and continue t ...

Let me start by asking question in the last week your usage of generative AI how much would you quantify usage of generative AI in the last week 50% 60% 80% maybe 100% for some of you out of this usage how much did you actually follow the guidance of these gen AI tools Did you follow the suggestion to go to a restaurant, to plan a trip, or professionally speaking, just following the recommendation of doing a marketing strategy or strategic recommendation for a business plan or a suggestion to present to you ...

于这是一个拥有学术循环的组织，这个组织决定了他们能做出来 R1，相比之下算法本身反而没有那么 重要了。时代的发展在不断向前，当下创新的算法也许随时会被淘汰，但一个优秀的组织却始终推动 着科技的洪流。 学术循环：通过组织级别的 Critical Thinking 持续做出原子化的创新，进而推动科学边界 事实上，组织强度能够带来创新，而创新能带来胜利。这个模式在过去十几年一直在重复，比如字节 后发先至，在推荐系统的正面战场上胜过了腾讯、Meta、Google，这是因为字节的早期组织带来了有 效创新。 早期的 OpenAI 也符合这个规律，Ilya 构造出了强有力的学术组织，带来了显著的学术创 新，进而做出了 ChatGPT，远远拉开了所有竞争者，进而获得了 100b 以上的估值。这些现象说明了 如果有特定的组织结构，创新就能自然发生。而如果没有这些结构，创新可能很难大规模发生。 从更高的角度看，DeepSeek、OpenAI、字节跳动（早期的）等几家公司都拥有 学术循环，只是具体 路径不同，我们可以用以下表格来比较： 学术循环揭示了一个深刻的真理：创新的本质不在于技术工具或方法论，而在于我们如何组织集体思 考。当 ...