personal description
Ever since ChatGPT was released, I’ve been thinking about the business logic and competitive dynamics of large language models. I’ve struggled to find a good framework for it. A few days ago, DeepSeek V4 came out. I wrote a long post critiquing some of V4’s design decisions. And suddenly, three years of unresolved business questions clicked into place.
DeepSeek V4’s technical report had just been released, and I opened it immediately. The amount and breadth of information in it, and the technical depth, are vast.
I think the best writing style for a paper must be extremely simple. So simple that reviewers reject it for not being innovative enough. Only then can the paper be considered fully revised.
Small GPU, huge model. The GPU-poor are about to rise up!
I have been on Zhihu for a few years, but this is the first time I am actually promoting my own paper.
The problem with biomimetics is that the way carbon-based organisms implement something is not necessarily the optimal design for silicon-based organisms.
If you ask me about the timelines for AGI, artificial general intelligence, and ASI, artificial superintelligence, I would say:
While reading the DeepSeek R1 paper during the day, all I could think about was R1-Zero.
I generally call artificial intelligence pseudo-science, pseudo-math, and pseudo-engineering: a trinity.
I often make one kind of mistake: when an idea lacks mathematical beauty, I subconsciously kill it off.