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Amund Tveit

Personal blog · amundtveit.comaistartups

Amund Tveit's personal blog at amundtveit.com covers ai and startups. Since 2016, 3 different Hacker News readers have linked it 12 times. It is still writing: the last post was on 2026-10-31, and you can follow it by feed.

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12mentions?
3HN people?
2016–2019first – last linked?
Links on Hacker News per year · peak 6 in 2016

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

Why HN links it

The only comment is a question about traffic-sign detection in neural networks, in a thread on a Tesla Autopilot crash. It does not judge the linked writing, so HN's view of its quality is unclear.

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.

Amund Tveit's blog

What Hacker News says?

  1. Is there a specific system for traffic sign detection? I'd have thought you could have a system that is dedicated to spotting traffic signs in the current country with a significantly higher accuracy than cat detection. Even a small part of a sign should be enough. They're designed to be easy to spot. It seems like we just set neural networks up to recognise all objects and assume they'll recognise simple objects to…

    Comment linking /2017/07/13/traffic-sign-detection-with-convolutional-neural-networks/

    on “Tesla crash victim had complained about auto-pilot in same location”
  2. Submitted Deep Learning for Natural Language Processing – ICLR 2017 Discoveries as a story · 68 points

    HN discussion
  3. Submitted Deep Learning with Generative Adverserial Networks – ICLR 2017 Discoveries as a story · 49 points

    HN discussion
  4. Submitted Keras Deep Learning with Apple’s CoreMLTools on iOS 11 as a story · 4 points

    HN discussion
  5. Submitted Overview of Recent Deep Learning Bibliographies as a story · 4 points

    HN discussion
  6. Submitted Unsupervised Deep Learning – ICLR 2017 Discoveries as a story · 3 points

    HN discussion
  7. Submitted Predicting Bitcoin Price with AutoML Tables as a story · 2 points

    HN discussion
  8. Submitted Early Experiences with Deep Learning on a Laptop with Nvidia GTX 1070 GPU as a story · 2 points

    HN discussion
  9. Submitted Autoencoders in Deep Learning – ICLR 2017 Discoveries as a story · 2 points

    HN discussion
  10. Submitted Thoughts on AI replacing coders by 2040 as a story · 1 points

    HN discussion
  11. Submitted A Closer Look at Equity Crowd Funding as a story · 1 points

    HN discussion
  12. Submitted Deep Learning with Reinforcement Learning – ICLR 2017 Discoveries as a story · 1 points

    HN discussion

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