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The Spectator

Personal blog · blog.shakirm.comaidata

The Spectator is a personal blog at blog.shakirm.com about ai and data. Since 2015, 7 different Hacker News readers have linked it 8 times. The last post was in 2024, but the archive is still widely read.

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8mentions?
7HN people?
2015–2018first – last linked?
Links on Hacker News per year · peak 4 in 2015

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

Why HN links it

The one comment does not discuss the writing; it concerns neuroscience-inspired machine learning and a talk on how the brain inspires AI, so the linked posts appear to cover that topic.

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.

Shakir's Machine Learning Blog

What Hacker News says?

  1. There was a rather interesting talk at the Forbes Under 30 summit last month on this, "How The Brain is Inspiring AI" [1], but I cannot find the video. Lavin argued neuro and cognitive science -inspiration, not derivation, is useful at varying levels of abstraction, i.e. Marr's levels [2]. He showcased three works at the respective levels: Tenenbaum et al at MIT [3], some Vicarious research [4], and Blake Richards'…

    Comment linking /2013/04/marrs-levels-of-analysis/

    on “Ask HN: Is neuroscience-inspired machine learning the next big thing?”
  2. Submitted Machine Learning Trick of the Day: Instrumental Thinking as a story · 125 points

    HN discussion
  3. Submitted Machine Learning Trick of the Day: Tricks with Sticks as a story · 35 points

    HN discussion
  4. Submitted A Statistical View of Deep Learning as a story · 5 points

    HN discussion
  5. Submitted Cognitive Machine Learning as a story · 5 points

    HN discussion
  6. Submitted Bayesian Reasoning and Deep Learning as a story · 1 points

    HN discussion
  7. Submitted Machine Learning Trick of the Day: Log Derivative Trick as a story · 1 points

    HN discussion
  8. Submitted Memory-Based Bayesian Reasoning and Deep Learning as a story · 1 points

    HN discussion

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