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Viewing profile — iamnafets

iamnafets

HN member
Joined
Sun, Apr 01, 2007, 9:29 PM UTC
HN karma
238
Public activity
51 items

About iamnafets

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Recent public activity

  1. comment
    Comment #47341037

    No credential will be sufficient, this is basically an unsolvable enforcement problem. That doesn't obviate the utility of rules and norms, but there's no airtight system which wil…

  2. comment
    Comment #47092328

    The warm container host is shared by multiple people. It basically runs docker with a small UI and a daemon which spins up new hosts, recycles them, and warms them when code change…

  3. comment
    Comment #47081529

    Can’t wait for better SSH support. We have a warm container host that spawns a fresh container so we get nice sandboxing and isolation, but the UX has left us with basically the sa…

  4. comment
    Comment #39432898

    One of the authors (Stefan) here. We created System Design in a Hurry after conducting hundreds of mock interviews and pinpointing areas where candidates tended to falter which cou…

  5. story
  6. comment
    Comment #39122163

    Should add liquidation preferences and allow sales below the last priced round. Seem to be more common these days!

  7. comment
    Comment #38236436

    Someone needs to add common LLM injections to the list.

  8. comment
    Comment #38167432

    Agreed. Scrum, in most cases, robs engineers of the agency they need to deliver maximum value. My teams did better work without it under the condition that the talent was motivated…

  9. comment
    Comment #38167382

    The obvious needle thread here is to not "make" engineers do anything, but hold them accountable to the results the business needs to see. The best teams are composed of empowered,…

  10. comment
    Comment #38154850

    Sounds like the problem is engineers aren't accountable for quality. Rather than prescribing a solution, these leaders should make sure incentives are correct in their organization…

  11. comment
    Comment #37781170

    Doesn't this line of argumentation undermine OpenAI's TOS which disallow training models on their output?

  12. comment
    Comment #37043096

    They are a YC company.

  13. comment
    Comment #35983903

    Still a major work in progress, feel free to send us any feedback stefan@hellointerview.com . Lots of work happening now.

  14. comment
    Comment #35983815

    https://www.hellointerview.com

  15. comment
    Comment #35905465

    This gave me PTSD from working in T&S. Impressive level of detail, nice work creating it!

  16. comment
    Comment #35774781

    Definitely. Much of it _isn't_. But the parent comment was referring to the waste of the process, which is necessarily the part that isn't directly useful in the job.

  17. comment
    Comment #35757777

    Similar in magnitude to the lost productivity of people optimizing for appearances rather than results at work. All prep is basically an arbitrage between the hard work of actually…

  18. comment
    Comment #35719617

    You can test this. Stratify users into groups with varying ad load and watch retention metrics. There's a bunch of 2nd-order effects that are hard to control, but you don't get to …

  19. comment
    Comment #35377638

    Absolutely not. SAFE investments have liquidation preferences - the investors will get what's the left of the money back.

  20. comment
  21. comment
    Comment #31850459

    I think the problem is that the tradeoffs already exist. Most users would prefer more usable space or less money to a full history of their data. You might be making the argument t…

  22. comment
  23. comment
    Comment #31535626

    I generally feel the same way, but just to steel man the argument: would your manual code review process have caught this issue? Sometimes we compare new things against their hypot…

  24. comment
    Comment #21683708

    Facebook Dangerous Content ML | Seattle | Full-Time | On-Site ($300k+ depending on experience) I’m the hiring manager for Facebook’s Dangerous Content ML team and we have a unique …

  25. comment
    Comment #19065312

    For ML systems, it's an engineering mistake to deploy a complex model when you don't have a simpler baseline (e.g. does this outperform a basic n-gram model?). Similarly, it's a st…