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「Not swayed by praise, not shaken by blame; walk the path, keep myself upright.」—— DeepSeek V4
South China University of Technology | Intelligent Science and Technology | Class of 2028
On the path to AGI, Ideate, Create, Monetize.
Goal: become an LLM algorithm engineer at a major tech company, building AI systems that actually ship.
Currently working on: Post-Training · Agent Harness · Agent Memory · RLHF
Impatience comes up sometimes. There is so much to learn, and progress often falls short of expectations; watching peers publish papers, ship projects, and land offers can be unsettling. But impatience is one thing, and the path still has to be walked one step at a time.
The reality is pretty ordinary: an undergraduate in the Class of 2028, less than a year into the LLM algorithm field, still climbing in both coding ability and algorithmic thinking. On post-training, agent harnesses, agent memory, and related directions, the current state is mostly "knowing a little and filling in the gaps" — nowhere near proficient.
That said, there is one habit worth keeping: putting seemingly unrelated modules together and thinking about them as a system. Post-training, agent environments, memory, evaluation, tool use — each looks like a different problem on its own; once placed inside one system, odd little "what-ifs" sometimes surface. They are not necessarily right, and not necessarily useful right away, but I tend to write them down first, then break them into small experiments and verify them with code, data, and metrics.
I read good code when I find it, and I climb when I see higher ground. No excuses, no shortcuts. A small step every day, and the work adds up. Give it a try — something will come of it.
I still want to become an LLM algorithm engineer at a major tech company, and to slowly grow into someone who can build valuable AI systems. AGI has not arrived yet, and ASI is further still — but the questions themselves are interesting enough to be worth the time and effort.
- Blog: gzhzk.github.io
- LinkedIn: Zekai Huang