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Viewing profile — srajabi

srajabi

HN member
Joined
Sun, Feb 05, 2012, 9:14 PM UTC
HN karma
221
Public activity
34 items

About srajabi

Software Dev in ML/Analytics out of YVR

Recent public activity

  1. comment
    Comment #42498386

    What about DiskANN? https://milvus.io/docs/disk_index.md

  2. comment
    Comment #40133585

    https://archive.is/L0BdY Summary: * Spotify’s Layoff Impact: CEO Daniel Ek was surprised by the significant operational challenges following the layoff of 1,500 employees. * Financ…

  3. comment
    Comment #38905260

    Does this mean you get additional documentation then the example in the blog? Or is that $99 for the bad documentation?

  4. comment
    Comment #38606607

    Is this down?

  5. comment
    Comment #38373547

    I constantly do this OpenAI/OpenAPI typo

  6. comment
    Comment #36245415

    Looks like they've been in use since 1972 and in use in Healthcare specifically since 1995. https://en.wikipedia.org/wiki/N95_respirator#History

  7. comment
    Comment #36118324

    No abstractions turns to spaghetti Too many abstractions turns to spaghetti I don't think the answer is one or the other at all like the blog post is implying. I think his previous…

  8. comment
    Comment #36098263

    A little hard to understand why this is cool, but if I understand correctly: 1. Lucene is trying to get Approximate Nearest Neighbours (ANN) search working for semantic search purp…

  9. comment
    Comment #35877555

    "This work is part of the third pillar of our approach to alignment research: we want to automate the alignment research work itself. A promising aspect of this approach is that it…

  10. comment
    Comment #35744007

    Wow this does so well on text! The original model struggled a lot, it's impressive to see how far they've come.

  11. comment
    Comment #35139801

    Can't seem to click "I Agree" and try it out. Anyone have a work around? Edit: The answer was patience

  12. comment
    Comment #35101071

    It's not a defense. If you want to fix the fact that a lot of tech jobs are bullshit, FAANG or otherwise. You have to fix that phenomenon in all work sectors, because it's not a un…

  13. comment
    Comment #35099889

    Most jobs are bullshit jobs https://en.wikipedia.org/wiki/Bullshit_Jobs the phenomenon is not unique to tech. How many finance workers on wall street do you think provide direct va…

  14. comment
    Comment #34682941

    This is all fluff with very little substance, OpenAI wow'ed the whole world with ChatGPT and all Google can do is post a half-baked fluff piece that they're releasing something "so…

  15. comment
    Comment #34423393

    It's cool you're on here and I'm sure I speak for many people in saying I really appreciate your video series and comments like the above! Thank you!

  16. comment
    Comment #34069390

    Great site! I feel like it's missing some things though: * Data Entry -- OCR and the like * Data Retrieval -- Don't search engines still qualify as AI * Sorting mail? * Other facto…

  17. comment
    Comment #34036737

    I wonder how long before Twitter patches this, one thought is that since they've fired so many people they may not be executing well enough to patch this quickly. Also, is there a …

  18. comment
    Comment #34022734

    Or the typical poor execution at extremely large tech companies. Where various people have incentives that aren't aligned with the overall objective of making a good product. Inste…

  19. comment
    Comment #34022713

    Basically Carmack is frustrated by: 1. Rate of progress on AR/VR at meta 2. People within Meta not "Giving a Dam!" / Poor decisions made within the org 3. Poor quality of the execu…

  20. comment
    Comment #33990973

    Amazing insight, particularly section 6. "- The two important but different abilities of GPT-3.5 are *knowledge* and *reasoning*. Generally, it would be ideal if we could *offload …

  21. comment
    Comment #33792047

    This resonates with me so much, I stumbled into data science out of University a decade ago. Left it to do SWE and came back to it in the last 3 years. So many data scientists are …

  22. comment
    Comment #33085892

    I don’t think this article made a compelling reason not to use Kafka. In fact it may have made the opposite point. Wouldn’t it have been easier to just use Kafka?

  23. comment
    Comment #31216283

    Is this open source? Seems like it might be small enough to be great for learning from.

  24. comment
    Comment #27667800

    It's quite cost effective to do something like: https://en.wikipedia.org/wiki/Stratospheric_aerosol_injectio... Or https://en.wikipedia.org/wiki/Marine_cloud_brightening

  25. comment
    Comment #23033454

    I've thought about this as well. If you have flow for ~6 hrs a day with ~2 hrs a day of buffer time for meetings, lunch, coffee...etc. You'd be in the top third of software develop…