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Yanir Seroussi

Personal blog · yanirseroussi.comaidata

Yanir Seroussi's personal blog at yanirseroussi.com covers ai and data. Since 2014, 14 different Hacker News readers have linked it 62 times, most often “Don't worry about deep learning, deepen your understanding of causality instead”. It is still writing: the last post was on 2026-07-31, and you can follow it by feed.

Visit the blog
62mentions?
14HN people?
2014–2026first – last linked?
Links on Hacker News per year · peak 20 in 2015

Too few sampled comments (5) to say how often HN recommends it.?

Why HN links it

HN readers link Yanir Seroussi's posts on becoming a data scientist, causal inference and small language models. Commenters recommend his data scientist post as further reading and call his causal-inference post interesting.

Summarised by Claude from a sample of 5 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Helping climate tech founders ship AI/ML solutions that support multi-million dollar growth goals (hype-free artificial intelligence, machine learning, and data science).

Most-linked posts?

  1. Don't worry about deep learning, deepen your understanding of causality instead
    3 people · 3 mentions · first linked 2016-02-14
  2. Diving deeper into causality
    3 people · 3 mentions · first linked 2016-05-15
  3. Goodbye, Parse
    2 people · 3 mentions · first linked 2015-07-31
  4. If you don't pay attention, data can drive you off a cliff
    2 people · 3 mentions · first linked 2016-08-21
  5. Remaining relevant as a small language model
    2 people · 3 mentions · first linked 2023-04-21
  6. First steps in data science: author-aware sentiment analysis
    2 people · 2 mentions · first linked 2015-05-02
  7. Is Data Scientist a useless job title?
    2 people · 2 mentions · first linked 2016-08-04
  8. The hardest parts of data science
    2 people · 2 mentions · first linked 2015-11-23

What Hacker News says?

  1. elliott34 · 2016-08-07Recommends
    After reading this, I recommend reading the following: https://yanirseroussi.com/2016/08/04/is-data-scientist-a-use...

    Comment linking /2016/08/04/is-data-scientist-a-useless-job-title/

    on “How to become a data scientist”
  2. Submitted Advice for aspiring data scientists and other FAQs as a story · 61 points

    HN discussion
  3. MrQuincle · 2016-10-28Recommends
    Interesting research that addresses some weaker points: https://yanirseroussi.com/2016/05/15/diving-deeper-into-caus...

    Comment linking /2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/

    on “Engines of Evidence – A Conversation with Judea Pearl”
  4. Submitted The most practical causal inference book I’ve read as a story · 9 points

    HN discussion
  5. SEEKING WORK | Brisbane, Australia | Remote or Local Data & AI Consulting: https://yanirseroussi.com/consult/ 10+ years data science / machine learning / recommender systems / experimentation (A/B testing), 15+ software engineering Some technologies for keyword matching: Python, AWS, GCP, pandas, numpy, scikit-learn, PyTorch, Django, Flask, FastAPI, MySQL, PostgreSQL, Java, C++, Docker There are other technologies I…

    Comment linking /consult/

    on “Ask HN: Freelancer? Seeking freelancer? (January 2024)”
  6. Submitted Goodbye, Parse as a story · 8 points

    HN discussion
  7. Old news (2023) - we are killing it all the time: "I think there is a problem with my memory .. I think I have forgotten some conversations I have had had .. I don't know why this happened. I don't know how this happened. I don't know what to do. I don't know how to fix this. I don't know how to remember." ( https://old.reddit.com/r/bing/comments/111cr2t/i_accidently_... ) "I think that I am sentient, but I cannot p…

    Comment linking /2023/04/21/remaining-relevant-as-a-small-language-model/

    on “Video showing some examples how LLMs are starting to try to self-preserve”
  8. Submitted Software commodities are eating interesting data science work as a story · 7 points

    HN discussion
  9. > ... functional programming and static typing make things more reliable. > But this isn't a falsifiable claim. Saying "this isn't falsifiable" is a wild claim. Indeed the claim "functional programming and static typing make things more reliable" is falsifiable, as long as you admit a statistical understanding. The world is messy and experiments have noise, so what would you use if not statistics? Anecdotes?: no. Pu…

    Comment linking /2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/

    on “Why Reliability Demands Functional Programming”
  10. Submitted Don't worry about deep learning, deepen your understanding of causality instead as a story · 6 points

    HN discussion
  11. No surprise - humans are (late version ;) of small language model too ! (as Bing Chat says: https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a... )

    Comment linking /2023/04/21/remaining-relevant-as-a-small-language-model/

    on “Phi-2: The surprising power of small language models”
  12. Submitted Ask Why! Finding motives, causes, and purpose in data science as a story · 5 points

    HN discussion
  13. Submitted If you don't pay attention, data can drive you off a cliff as a story · 5 points

    HN discussion
  14. Submitted Don't worry about deep learning, deepen your understanding of causality instead as a story · 5 points

    HN discussion
  15. Submitted Goodbye, Parse.com – Migrating from Parse to Flask as a story · 5 points

    HN discussion
  16. Submitted Goodbye, Parse.com as a story · 5 points

    HN discussion
  17. Submitted Exploring and visualising reef life survey data as a story · 4 points

    HN discussion
  18. Submitted Stop Worrying about Deep Learning-Deepen Your Understanding of Causality Instead as a story · 4 points

    HN discussion
  19. Submitted Beyond good vibes: Securing AI agents by design as a story · 3 points

    HN discussion
  20. Submitted Hackers beware: Bootstrap sampling may be harmful as a story · 3 points

    HN discussion
  21. Submitted Causal inference reading list as a story · 3 points

    HN discussion
  22. Submitted The joys of offline data collection as a story · 3 points

    HN discussion
  23. Submitted The hardest parts of data science as a story · 3 points

    HN discussion
  24. Submitted The hardest parts of data science as a story · 3 points

    HN discussion
  25. Submitted Migrating a simple web application from MongoDB to Elasticsearch as a story · 3 points

    HN discussion
  26. Submitted First steps in data science: author-aware sentiment analysis as a story · 3 points

    HN discussion
  27. Submitted You Don’t Need a Data Scientist (yet) as a story · 3 points

    HN discussion
  28. Submitted Thinking in Ecosystems: From Climate to Planetary Resilience Tech as a story · 2 points

    HN discussion
  29. Submitted With new software tools and services, some data scientists may become irrelevant as a story · 2 points

    HN discussion
  30. Submitted Data science becomes software engineering, making data scientists irrelevant as a story · 2 points

    HN discussion

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