Core Viewpoint - The article discusses the transformative impact of AI on employment, highlighting how individuals can leverage AI tools to transition from traditional roles to independent developers, thus broadening job opportunities and reducing skill barriers [1][3][4]. Group 1: Transition from Traditional Roles - The individual transitioned from a large tech company to an independent developer, realizing that AI tools can replace the need for a full team to develop applications [1][2]. - Initially, the individual faced challenges in using AI for development but eventually succeeded in creating a complex app with the help of advanced AI programming tools [3][4]. - The reduction in skill barriers due to AI tools allows more people to enter the independent development space, transforming traditional employment dynamics [3][4]. Group 2: Experience Reutilization - The individual initially feared that their 10 years of experience in user research and operations would be irrelevant in a new career but found that past experiences enhanced their new role [4]. - Utilizing user research skills helped in accurately identifying product needs, avoiding common pitfalls faced by independent developers [4]. - The ability to apply previous experience in a new context demonstrates that new careers can complement rather than replace traditional roles, allowing for a smoother transition [4]. Group 3: Expanding Employment Demographics - The article presents a case of a 16-year-old high school student who successfully entered app development without prior programming knowledge, showcasing the potential for younger individuals to engage in new careers [6][7]. - The new career landscape is characterized by the absence of age and educational barriers, enabling anyone willing to learn and utilize AI to participate [7]. - This shift allows for a broader employment market, moving from a focus on existing job competition to expanding opportunities for new entrants [7]. Group 4: Recommendations for Transitioning - The article suggests a gradual approach to transitioning into new careers, recommending individuals to first enhance their current roles with AI before fully committing to a new path [9]. - The individual adopted a low-expectation exploration strategy, initially accepting that they might not earn money for a year while building their new career [9]. - The diversification of income sources through content creation, product sales, and business collaborations illustrates the evolving nature of employment in the AI-driven landscape [9]. Group 5: Future Employment Landscape - The article emphasizes that AI tools are continuously evolving, creating new job opportunities that do not require traditional team structures or extensive skills [8][9]. - The shift towards flexible employment models centered around ideas and AI tools signifies a major change in how work is conceptualized and executed [9]. - The emergence of new careers driven by AI is not intended to replace traditional jobs but to provide additional choices for individuals in the workforce [9].

沉浸式翻译的替代品是什么？最好是纯客户端，只想用自己的 API。指的是浏览器插件，全局已经有 bob 了。 ...