在OpenAI上班有多卷？离职员工爆料：7周打造Codex，每天熬到凌晨

Core Insights - OpenAI has experienced rapid growth, expanding from over 1,000 employees to more than 3,000 in just over a year, leading to challenges in internal communication and organizational structure [14][15][16] - The company emphasizes a bottom-up culture where good ideas can emerge from anywhere, and employees are encouraged to take action without needing prior approval [19][21][20] - OpenAI maintains a high level of confidentiality and security due to the significant responsibilities associated with developing AGI and competing with major players in the AI field [25][26][30] Group 1 - OpenAI's internal communication relies heavily on Slack, with minimal use of email, which can either enhance or distract from productivity depending on management [18] - The company has a unique approach to project management, allowing teams to self-organize and pursue ideas independently, leading to a dynamic and fast-paced work environment [21][22] - Leadership at OpenAI is described as hands-on and engaged, with executives actively participating in discussions and decision-making processes [36] Group 2 - OpenAI's strategic adjustments are made quickly in response to new information, allowing for efficient decision-making that is often faster than larger competitors like Google [25] - The company prioritizes safety and ethical considerations in AI development, focusing on practical risks rather than theoretical concerns [30][26] - OpenAI's engineering team operates with a large monolithic codebase primarily in Python, which can lead to inconsistencies in code quality and style [38][43] Group 3 - The Codex project exemplifies OpenAI's rapid development capabilities, with the team able to go from initial coding to product launch in just seven weeks [45][49] - Codex has generated significant user engagement, with 63,000 public pull requests created within 53 days of its release, showcasing its effectiveness in handling coding tasks [53] - OpenAI's competitive landscape is characterized by a three-way race for AGI development among OpenAI, Anthropic, and Google, each with distinct approaches [56]