Core Insights - The article emphasizes the need for entrepreneurs to recognize and reduce their dependence on instant gratification behaviors driven by dopamine, such as excessive coffee consumption and constant data checking, in favor of long-term impactful activities [3][4][5]. Group 1: Misconceptions of Productivity - Many behaviors considered as "entrepreneurial routines" are actually driven by dopamine addiction, leading to a false sense of productivity [4][5]. - The reliance on external stimuli for motivation, such as late-night snacks or multiple cups of coffee, is misinterpreted as resilience and efficiency [4][5]. - Instant feedback dependency, like frequently refreshing user data, is mistaken for effective business management, while it may lead to anxiety and distraction [5][6]. Group 2: Understanding Rewards - The article discusses the distinction between natural rewards, which improve internal bodily states, and proxy rewards, which provide only temporary satisfaction [6][7]. - Natural rewards, such as solving user problems, lead to genuine improvements in business, while proxy rewards, like browsing success stories, do not address core issues [7][8]. - The modern environment amplifies the allure of proxy rewards, causing individuals to misinterpret physiological responses as improvements in their internal state [7][8]. Group 3: Practical Changes - The article suggests practical changes in daily routines to foster a healthier relationship with dopamine-driven behaviors, starting with small adjustments in breakfast choices and commuting habits [10][11]. - It encourages entrepreneurs to replace passive information consumption with active learning and reflection during commutes, enhancing the quality of their insights [11][12]. - During breaks, it is advised to engage in genuine relaxation rather than scrolling through devices, which can lead to increased anxiety and fatigue [12][13]. Group 4: Listening to Internal Signals - The importance of recognizing and responding to internal bodily signals is highlighted, suggesting that entrepreneurs should learn to differentiate between true needs and habitual responses to external stimuli [13][14]. - The article advocates for integrating mindfulness practices into daily routines, allowing for a more grounded approach to work and life [14][15]. - By focusing on genuine bodily sensations and needs, entrepreneurs can cultivate a more sustainable and fulfilling work-life balance [15][16].

Group 1 - The article discusses the transition from Supervised Fine-Tuning (SFT) to Reinforcement Learning (RL) in model training paradigms, highlighting that RL is becoming increasingly critical for enhancing model capabilities [3][4][8] - RL algorithms are evolving with new methods such as GRPO, RLOO, and DAPO, focusing on improving stability and sample efficiency [4] - The RL training process consists of three main modules: Rollout (policy generation), Reward Evaluation, and Policy Update, each playing a vital role in the training framework [5][6][7] Group 2 - The design of RL training frameworks faces challenges in coordinating Rollout and training modules, especially with the increasing model scale and the need for distributed multi-GPU training [12][13] - There is a diversity of underlying training and inference frameworks, which complicates parameter synchronization and inference scheduling [14] - Performance optimization strategies include data parallelism, tensor parallelism, and pipeline parallelism, each with distinct advantages and limitations [22][24] Group 3 - The article outlines the importance of efficient data transfer mechanisms and parameter synchronization between training frameworks and inference engines, emphasizing the need for flexible communication strategies [32][39] - SLIME and ROLL frameworks are introduced, showcasing their approaches to managing data transfer and parameter synchronization effectively [42][46] - The integration of Ray for distributed computing is discussed, highlighting its role in managing resource allocation and communication in complex RL tasks [48][53] Group 4 - The article concludes with a comparison of various RL frameworks, such as SLIME, ROLL, and Verl, each catering to different needs and offering unique features for specific applications [61] - The rapid evolution of technology necessitates maintaining simplicity and high maintainability in framework design to adapt to new trends [58] - The article emphasizes the significance of open-source frameworks in advancing RL technology, particularly in the context of China's leading position in technical strength and understanding [60]