arxiv:2505.09027
Yi Cui
onekq
AI & ML interests
Benchmark, Code Generation Model
Recent Activity
posted an update 33 minutes ago
Many developers discovered that the native DeepSeek API has higher cache-hit rate than neocloud APIs hosting the same DS models.
My speculation is that DS aggressively kills its old models. It has released 18 models thus far, and only 2 are being served now (v4 pro and flash).
This is tough to customers who don't want to upgrade (migrate or leave), but effectively boost the serving capacity to the same model, i.e. more woods behind fewer arrows. posted an update 3 days ago
There has been a leaked memo (now struck down) from the founder of DeepSeek. I'm not here to circulate it, but comment on the minimum-effort evolutionary path he proposed.
LLM->CoT->Agent->Self-improvement->Singularity->Physical
This makes sense to me: even at the agent stage I learn world models much faster than when I learned LLM at the LLM stage.
But this means humans are still needed beyond the digital singularity, until robots can close their own loop: eval, manufacturing, self improvement, i.e. physical singularity. posted an update 5 days ago
The Nvidia paper came down to this: remove synchronization barriers. DeepSeek has already done that with DeepEP (which this paper cited) one layer above.
https://huggingface.co/papers/2607.16100
Nevertheless this is great. More users will benefit from this:
Nvidia NCCL > SGLang/vLLM DeepEP