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yiyingzhang

HN member
Joined
Thu, Jul 31, 2025, 5:20 PM UTC
HN karma
17
Public activity
31 items

About yiyingzhang

UCSD prof, AI entrepreneur, https://cseweb.ucsd.edu/~yiying/

Recent public activity

  1. comment
    Comment #49105890

    This approach only works for small context requests. For large context and relatively smaller output (say understanding a huge code base), the cost will mainly be on prefill, and s…

  2. comment
    Comment #49105745

    With AI, the speed of finishing a project and publishing a paper is very much accelerated. But you are right that the industry role in the program diverges from the original goal o…

  3. comment
    Comment #49105724

    What you described sounds like this: https://github.com/GenseeAI/gensee-crate . It offers whole workspace fork and merge. But the merge is still somewhat cumbersome and require man…

  4. comment
    Comment #49104590

    Many AI startups open source part of their work and write blog posts without publishing papers, including the startup I work for. Sometimes, startups just have for more pressing th…

  5. comment
    Comment #49099657

    The U.S. National Science Foundation announced a $47 million investment over five years, along with additional financial commitments from nearly three dozen universities and private …

  6. story
  7. comment
    Comment #49063671

    Cool idea! How do you guarantee privacy?

  8. comment
    Comment #49044160

    What stunned me is actually OpenAI's response to the incident. They team up with Hugging Face to put in more guardrails. Is this really the answer? Self-evolving AI can always find…

  9. comment
    Comment #48864481

    > My list is like 200 items now Do human developers check for 200 items when they do code review? How long would that take? It's quite clear that AI code review could be better eve…

  10. comment
    Comment #48754130

    For academia people who care about publication, arxiv is more like a place to claim a spot before others do and before a paper gets accepted somewhere. It's also easier to get open…

  11. story
  12. comment
    Comment #48752627

    Very good point! Accountability is very hard if the ecosystem is monopolized by a few giants.

  13. comment
    Comment #48751886

    The uncomfortable part is not that Anthropic wants to detect resellers or distillation pipelines. That is normal adversarial business. The uncomfortable part is that a “safety” com…

  14. comment
    Comment #48723414

    Unfortunately, most students today just want to find the easiest way to get a good grade. The percentage of students truly want to learn is very low. For the most, they'd prefer in…

  15. comment
    Comment #48723349

    We've been discussing this in our department for some time. No one gets fired yet :)

  16. comment
    Comment #48712814

    As a university professor, I honestly don't understand the point of grading. Who will look at and care about grades? Likely company HR. But then why should we (professors) do the s…

  17. comment
    Comment #48695623

    Curious what's the typical switching frequency in your experiments and experience. How do you control the tradeoff of cache matching and model efficiency?

  18. comment
    Comment #48695024

    It all depends on the context window size. A small context size with fast performance won't be very useful today, as most workloads (like requests behind codex) usually have very l…

  19. comment
    Comment #48688779

    How's this different from Firecracker?

  20. comment
    Comment #48681821

    This is cool! I may introduce it to the undergrad OS course I teach at UCSD. Does it have memory hierarchy?

  21. comment
    Comment #48678621

    This a a step away from university-driven research towards giving money to industry. FWIW, NSF's prior industry investment has rarely yield any true impact. Most successful startup…

  22. comment
    Comment #48678548

    Isn't this true since the beginning of software development? AI hasn't changed that yet

  23. comment
    Comment #48676591

    "Safety evals are an exception I believe eval startups can work when they're targeting safety benchmarks specifically. Researchers who want to work on safety evals tend to be ideol…

  24. story
    Decoupling Compute and Memory for Async GPUs

    Cool open-source project that introduces a new programming model for decoupling compute and memory for NVIDIA GPUs that supports asynchronous memory operations (e.g., Hopper). 12% …

  25. comment
    Comment #48676260

    This is another Cerebras? fwiw, it took Cerebras many years to finally get a handle on the yield and the cooling problem. Wondering if they just hired a bunch of people from Cerebr…