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Anurag Kushwaha

Personal blog · anuragk.com/blog · on HN as beAroundHereaihardwareprogramming

Anurag Kushwaha's personal blog at anuragk.com covers ai, hardware and programming. Since 2025, 5 different Hacker News readers have linked it 10 times, most often “How Taalas "prints" LLM onto a chip?”. It is still writing: the last post was on 2026-02-22, and you can follow it by feed.

Visit the blog
10mentions?
5HN people?
2025–2026first – last linked?
Links on Hacker News per year · peak 8 in 2026

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

Linked as a source on Taalas, a company that burns LLM models into custom chips for very efficient inference. Commenters cite it to support points about hardwired-model hardware.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Anurag Kushwaha - Software engineer at Capital One, IIIT Allahabad graduate.

The author on HN?

beAroundHere · 183 karma · member since 2024

Software Dev,India. Homepage: anuragk.com Reach me at: kanurag 0 7 8 'at' the most popular google mail site.

From their public HN profile, which links to this site.

Most-linked posts?

  1. How Taalas "prints" LLM onto a chip?
    5 people · 5 mentions · first linked 2026-02-21

What Hacker News says?

  1. Location: Bengaluru / Gurugram/ Noida/ Delhi NCR, India Remote: Yes Willing to relocate: Willing to travel quarterly outside India. Open to relocate in India or similar time zone. Technologies Programming: Java, Python, Go, SQL Frameworks: Spring Boot Databases: MySQL, Clickhouse, Cassandra Misc: Docker, Kafka, Microservices, OOPS, REST, Redis, Data Structures. Résumé/CV and other details available at: https://anura…

    Comment linking /linkblog

    on “Ask HN: Who wants to be hired? (April 2025)”
  2. Submitted How Taalas "prints" LLM onto a chip? as a story · 2 points

    HN discussion
  3. >but I think eventually we'll have even more specialized ASIC like machines with models burned into them This has already happened and is very interesting. https://www.anuragk.com/blog/posts/Taalas.html

    Comment linking /blog/posts/Taalas.html

    on “Michael Burry says neither SpaceX nor Anthropic is worth $1T”
  4. Submitted Only Samsung loves me back as a story · 1 points

    HN discussion
  5. https://www.anuragk.com/blog/posts/Taalas.html

    Comment linking /blog/posts/Taalas.html

    on “OpenAI unveils its first custom chip, built by Broadcom”
  6. https://www.anuragk.com/linkblog/ My linkblog is a collection of interesting ideas and snippets I've found around the web. It is tech and non-tech both.

    Comment linking /linkblog/

    on “Ask HN: Could you share your personal website here?”
  7. Only way to have hardware reach this sort of efficiency is to embed the model in hardware. This exists[0], but the chip in question is physically large and won't fit on a phone. [0] https://www.anuragk.com/blog/posts/Taalas.html

    Comment linking /blog/posts/Taalas.html

    on “iPhone 17 Pro Demonstrated Running a 400B LLM”
  8. I don't post blogs often, so haven't added RSS there, but will do. I mostly post to my linkblog[1], hence have RSS there. [1] https://www.anuragk.com/linkblog

    Comment linking /linkblog

    on “How Taalas "prints" LLM onto a chip?”
  9. Personally, I can't wait till something like this starts getting to consumer level. https://www.anuragk.com/blog/posts/Taalas.html

    Comment linking /blog/posts/Taalas.html

    on “GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell”

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