一谈到记忆，有很多朋友会有类似的感受： 昨天晚上吃了什么，干了什么，完全断片了。 …… 我也如此。就在此刻，我发现书桌上放着一听刚打开的可乐，却丝毫回忆不起来自己什么时候把它从冰箱里拿出来的——莫不是「田螺姑娘」吧？怎么可 能！我该不是得了阿兹海默症吧？！ 先别急着担心。这不代表你的大脑生病了，也不一定是衰老的表现。所谓的记性不好、健忘，往往是因为我们误解了大脑的运行机制，把它的正常功能当 成了 Bug。为了解决这类日常健忘问题去练「记忆宫殿」这种复杂的助记术，往往是杀鸡用牛刀，很难坚持也没必要。 相比之下，了解大脑的工作原理、调节你的思考方式和生活习惯，才是更轻松更有效的解决方案。 现象一：转头就忘——我刚刚要干什么来着？ 很多人都有「转头就忘」的感受：打开手机，本来只想看一眼天气或查一下快递进度，结果看到有微信提醒，就点进去看了一眼。短短几秒的工夫，等你 退回主屏幕时就会陷入恍惚：我刚才解锁手机，是要干嘛来着？ 我这几年的记性真是越来越差了。 上一秒打开手机，下一秒就不知道该做什么了。 怎么回事？我是什么时候下单的这个快递？一点印象都没有…… 这不是手机普及以后才出现的问题。类似现象一直就有，心理学上有个 ...

Core Insights - General Intuition has raised $134 million in seed funding, led by Vinod Khosla, marking his largest seed investment since OpenAI in 2019, indicating a significant bet on the next generation of intelligent paradigms [2][5][6] - The company aims to create a unique world model that combines human-like intuition and physical common sense, differentiating itself from traditional LLMs [3][6][28] Funding and Investment - The $134 million seed round is the largest single seed investment by Khosla Ventures since its initial investment in OpenAI, which was approximately $50 million [5][6] - Khosla's investment logic is based on first principles, identifying a transformative technological path that General Intuition is pursuing [6][28] Unique Data Assets - General Intuition has access to over 3.8 billion game highlight video clips, a unique dataset that is difficult to replicate [7][11] - The data is filtered to retain only meaningful human actions, providing a rich source of episodic memory for training AI models [12][11] Technological Framework - The company envisions a three-phase AI competition landscape: Bits to Bits (text generation), Atoms to Bits (robotic perception), and Atoms to Atoms (physical task execution) [4][5] - General Intuition aims to drive 80% of atomic-level physical interactions globally by 2030 [5] AI Model and Training - The model is designed to understand all possible outcomes based on current states and actions, moving beyond traditional video generation models [20][21] - The training process utilizes imitation learning from millions of human players, allowing the AI to replicate nuanced human behaviors [23][24] Market Strategy - The initial focus is on the gaming industry, providing a universal AI layer to replace traditional scripting systems for game developers [34][36] - Future phases include applications in simulation environments, such as autonomous driving, leveraging low-cost data from virtual worlds [38][39] Team and Leadership - The CEO, Pim de Witte, has a strong technical background and a history in the gaming community, which informs the company's strategic direction [42][44] - The team comprises experts with significant contributions to world models and AI research, enhancing the company's innovative capabilities [46][47]

Core Insights - The article outlines five major breakthroughs in the evolution of intelligence, from the development of basic navigation in early organisms to the potential emergence of superintelligence in artificial entities [2][3][5][11]. Breakthroughs in Intelligence - **First Breakthrough: Turning** - Approximately 600 million years ago, early bilateral animals evolved a simple nervous system that allowed for basic navigation by distinguishing between positive and negative stimuli [2]. - **Second Breakthrough: Reinforcement** - Around 500 million years ago, the first vertebrates developed a brain structure that enabled learning from past experiences, establishing a foundation for emotional and cognitive traits [3]. - **Third Breakthrough: Simulation** - About 100 million years ago, early mammals developed the ability to mentally simulate actions and events, leading to advanced planning and fine motor skills [4]. - **Fourth Breakthrough: Mentalization** - Between 10 to 30 million years ago, early primates evolved the capacity to understand their own and others' mental states, enhancing social interactions and learning [5]. - **Fifth Breakthrough: Language** - Language emerged as a means to connect internal simulations, allowing for the accumulation of knowledge across generations [5]. Evolutionary Context - Human history can be divided into two main chapters: the evolutionary chapter, detailing the biological development of modern humans, and the cultural chapter, which encompasses the rapid advancements in civilization over the last 100,000 years [6][7]. - The article emphasizes the significance of the last 100,000 years in shaping human civilization, contrasting it with the extensive evolutionary timeline [6]. Future of Intelligence - The article posits that the next breakthrough may involve the emergence of superintelligence, where artificial entities surpass biological limitations, leading to unprecedented cognitive capabilities [9][10]. - It discusses the implications of this potential shift, including the redefinition of individuality and the evolution of intelligence beyond biological constraints [10][11]. Philosophical Considerations - The article raises critical questions about the goals of humanity as it approaches the sixth breakthrough, emphasizing the importance of values and choices in shaping the future of intelligence [11][12].