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The most popular blog posts about ai & machine learning on Hacker News. 101 posts.
(Update 2023-03: I wrote this in 2020 when GPT-3 was highly hyped, but ultimately made only <1% of the splash that the monstrous ChatGPT made 3 years later. If I had to rewrite this today, I’d 1) think more kindly about defensibility, especially through deep product, user experience, and marketing/distribution (see…
The site of Sid
by Carles Gelada and Jacob Buckman WARNING: This is an old version of this blogpost, and if you are a Bayesian, it might make you angry. Click here for an updated post with the same content. Context: About a month ago Carles asserted on Twitter that Bayesian Neural Networks make...
Research has begun to reveal many algorithms can be expressed as matrix multiplication, suggesting an unrealized connection between linear algebra and computer science. I speculate graphs are the missing piece of the puzzle. Graphs are not only useful as cognitive aides, but are suitable data structures for a wide…
Why prediction has overtaken perception as the biggest challenge in the field.
With this year’s International Conference on Machine Learning (ICML) being over, it is time to have another instalment of this series. Similar to last year’s post , I shall cover several papers that caught my attention because of their use of topological concepts—however, unlike last year, I shall not restrict the…
What a commit history of version-controlled research papers could look like?
By the end of this blog post, we aim to improve the results of my previous blog post of approximating circular bokeh with a sum of 4 separable filters and reducing its artifacts (left) through an o…
