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Viewing profile — pavelstoev

pavelstoev

HN member
Joined
Mon, Jan 23, 2023, 3:24 AM UTC
HN karma
271
Public activity
119 items

About pavelstoev

https://www.linkedin.com/in/pavel-stoev-p-eng-674951246/

Recent public activity

  1. comment
    Comment #47930330

    Paraphrasing Franklin and Churchill, those who trade some security for some convenience may soon find themselves possessed of neither at all.

  2. comment
    Comment #47898271

    SFO is one of the nicest and cleanest airports I frequently transit through. I am from Florida.

  3. comment
    Comment #47227738

    Yes, for example, if you are a seller on the Shopify Platform. Lookup Shopify SimGym, and Javier Moreno's tech blog about it.

  4. comment
    Comment #46984434

    In a dynamically changing environment (from the perspective of Wi-Fi signal), this will be difficult but not impossible with modern applications of ML algorithms. We worked on this…

  5. comment
    Comment #46970791

    Am I the only one who finds this suspicious ? About Telnetd “…The vulnerable code was introduced in a 2015 commit and sat undiscovered for nearly 11 years.”

  6. comment
    Comment #46654906

    If we think of GenAI models as a compression implementation. Generally, text compresses extremely well. Images and video do not. Yet state-of-the-art text-to-image and text-to-vide…

  7. comment
    Comment #46251168

    Not wrong but markdown with English may be the most used DSL, second only to a language itself. Volume over quality.

  8. comment
    Comment #46074945

    keyword: "...talks..."

  9. comment
    Comment #45742104

    Nokia also makes complex backbone carrier-grade network switches based on the Intellectual Property portfolio they acquired from Nortel.

  10. comment
    Comment #45624315

    Much respect for the artist 50 Cent - converted his rap music success into respectable business ventures (Vitamin Water, others). So he is worth much more now!

  11. comment
    Comment #45624220

    I've vibe-coded a website about vibe coding websites. I used GPT-5 and it inserted an easter egg that was found by a human front-end dev, to my amusement. Easter eggs must be in-di…

  12. comment
    Comment #45511425

    It was my first engineering job, calibrating those inductive loops and circuit boards on I-93, just north of Boston's downtown area. Here is the photo from 2006. https://postimg.cc…

  13. comment
    Comment #45021867

    Here is a link to a video of what it looks like (estimated) in video. We built this system at the UofT WIRLab back in 2018-19 https://youtu.be/lTOUBUhC0Cg And link to paper https:/…

  14. comment
    Comment #44844164

    When I think about serving large-scale LLM inference (like ChatGPT), I see it a lot like high-speed web serving — there are layers to it, much like in the OSI model. 1. Physical/Ha…

  15. comment
    Comment #44621706

    I vibe coded a site about vibe 2 code projects. https://builtwithvibe.com/

  16. comment
    Comment #44328983

    Hi Author - thank you very much for the clear and relatively easy-to-understand MPK overview. Could you please also comment on the similarity of your project to Hidet https://pytor…

  17. comment
    Comment #44294919

    This story is dear to my heart. Let me tell you why - this is the tale of how my wife of 15 years, bless her heart, an occasional unstable genius, proposed a startlingly effective …

  18. comment
  19. comment
    Comment #43922540

    GPU sharing is a concern for sensitive data. It is more appropriate to increase the utilization rate of GPU chip internals via a variety of low-level (CUDA and below) optimizations…

  20. comment
    Comment #43841177

    Optimizing AI performance is like peeling an onion — every time you remove one bottleneck, another layer appears underneath. What looks like a compute problem turns out to be a mem…

  21. comment
    Comment #43789537

    YYC airport code is for Calgary, Canada. Why is on the US .gov site is there something I missed

  22. comment
    Comment #43712587

    Can’t have an apologetic zoom call when zoom is down …

  23. comment
    Comment #43665072

    Impressive!

  24. comment
    Comment #43598691

    Model training observations from both Llama 3 and 4 papers: Meta’s Llama 3 was trained on ~16k H100s, achieving ~380–430 TFLOPS per GPU in BF16 precision, translating to a solid 38…

  25. comment
    Comment #43577978

    Is this how TSMC relocates to the US?