@ktwu01: This article has a lot of depth. To gain the freedom of creation—that is, the freedom to enter the field you want to wo…
Summary
A discussion on the paths to gaining creative freedom in tech and AI careers, highlighting apprenticeship as a fourth route—giving up stable jobs to learn like a full-time PhD student—while quoting Bojie Li on how frontier labs reject unpaid contributors due to their GPU and token costs.
View Cached Full Text
Cached at: 10/13/26, 07:48 PM
This article has a lot of depth. To gain the freedom of creation—that is, the freedom to enter the field you want to work in—
there is actually a fourth path: apprenticeship. Give up the money from industry or a stable job, and adopt the mindset of becoming a full-time PhD student (or a nominal PhD student). Whether you truly become a student, or find a nominal mentor and engage in “learning by doing” on your own.
Original text: “To gain the freedom of creation—that is, the freedom to enter the field you want to work in—I can only think of three paths: 1. Deeply study another field on your own and switch careers, for example, switching from a grueling major to coding; AI can help us get started and explore new fields more quickly, but reaching the top level is still very difficult, because professional circles all have social closure like LLMs. 2. Achieve results, reputation, and influence in one field, so that you can enter other fields of interest through project collaborations, consulting, and other means, even spanning multiple fields; (this can be within a company, like a networking expert needing to participate in discussions and collaborations with departments like chips, OS, etc.; or across companies) 3. Possess the ability to tell stories, build teams, and integrate resources, like many excellent founders who don’t have a technical background.”
Insanely good
Similar Articles
@bojie_li: Some financially independent friends have asked: without a salary, is there any way to get into a frontier lab? The res…
作者讨论没有薪水的人想进入前沿AI实验室的现实门槛:GPU和token成本远超薪资,导致行业出现社会封闭。文中引用DeepSeek刘圣宇的比喻以及Karpathy关于大众对LLM能力认知差距扩大的观点,指出进入创造领域仅有转型、积累影响力或讲好故事三条路径。
@OpenAI: AI can give researchers the freedom to pursue “crazier” ideas. For Terence Tao, AI creates more room to experiment, tes…
OpenAI shares Terence Tao's view that AI can give researchers more freedom to experiment with 'crazier' ideas and explore unexpected paths.
@jxmnop: https://x.com/jxmnop/status/2066668040557867368
A Twitter thread offering philosophical and practical advice on doing AI research, emphasizing reading combined with building, deep understanding of fundamentals over chasing trends, maintaining a beginner's mindset, and the importance of discipline and openness to new ideas.
@MaxForAI: https://x.com/MaxForAI/status/2058910873947910558
An article discussing how Chinese talents are 'lining up to crash open source', highlighting the paradox of free value in commercial ecosystems.
Freedom to Handcraft Software
The article questions the forced use of AI in software development, advocating for the freedom to handcraft software to preserve developers' core skills and creativity, while highlighting risks associated with over-reliance on AI.