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Sergii Kharagorgiev

Personal blog · k10v.github.ioaidata

Sergii Kharagorgiev's personal blog at k10v.github.io covers ai and data. Since 2018, 3 different Hacker News readers have linked it 5 times, most often “Show HN: Solving visual analogy puzzles with Deep Learning”. The last post was in 2018, but the archive is still widely read.

Visit the blog
5mentions?
3HN people?
2018–2023first – last linked?
Links on Hacker News per year · peak 2 in 2018

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

The only comment does not discuss this blog's writing. It makes a general point that independent researchers can publish results on blogs or forums instead of journals, and that HN posts may reach more readers than arXiv preprints.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

blog

Most-linked posts?

  1. Show HN: Solving visual analogy puzzles with Deep Learning
    3 people · 5 mentions · first linked 2018-02-25

What Hacker News says?

  1. Some of my hobby projects can be considered research, or R&D. You do not need to publish to journals/conferences if you are independent, and this is the most brilliant part! You can just post your results in your blog, or on a relevant forum, and people will cite you if those results are good. If it's in CS/ML/AI then posting a blog post on HN might reach more people and be recognized more than a preprint on arxiv.…

    Comment linking /2018/02/25/Solving-Bongard-problems-with-deep-learning/

    on “Ask HN: How to do research independently from universities and companies?”
  2. Submitted Show HN: Solving visual analogy puzzles with Deep Learning as a story · 60 points

    HN discussion
  3. Submitted Solving Bongard Problems with Deep Learning as a story · 3 points

    HN discussion
  4. Submitted Solving Bongard Problems with Deep Learning as a story · 3 points

    HN discussion
  5. Submitted Solving Bongard Problems with Deep Learning as a story · 1 points

    HN discussion

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