Top all-time · #9628
Jaan Altosaar
Personal blog · jaan.io · on HN as jaanaisciencedata
Jaan Altosaar's personal blog at jaan.io covers ai, science and data. Since 2014, 8 different Hacker News readers have linked it 14 times, most often “How does physics connect to variational inference in machine learning?”. It is still writing: the last post was on 2026-09-22, and you can follow it by feed.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
HN readers link jaan.io for food-related machine learning work, such as food2vec and augmented cooking intelligence. One commenter cites it as related work on quantifying food, in a thread about dumplings.
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.
Machine learning for health and science, variational inference, and interactive views of large public datasets.
Most-linked posts?
- How does physics connect to variational inference in machine learning?3 people · 3 mentions · first linked 2017-08-22
- Lifelogging with Large Language Models2 people · 3 mentions · first linked 2026-09-23
- My friend radicalized. This made me rethink how I build AI2 people · 2 mentions · first linked 2021-01-28
- Food2vec – Augmented cooking with machine intelligence2 people · 2 mentions · first linked 2017-01-24
What Hacker News says?
The next step: dumplings2vec, or some other dimensionality reduction. BTW: I am curious about word vectors for dumplings. For each dumpling kind, there is some variation of servings, size, culture and everything. I guess that the word usage tells a lot. For general food quantification, see https://www.nature.com/articles/srep00196 , https://jaan.io/food2vec-augmented-cooking-machine-intellige... and https://en.wikip…
Comment linking /food2vec-augmented-cooking-machine-intelligence/
on “A Typology of Dumplings (2019)”Submitted The Confusion of Variational Autoencoders as a story · 52 points
HN discussionSubmitted Food2vec – Augmented cooking with machine intelligence as a story · 29 points
HN discussionSubmitted My friend radicalized. This made me rethink how I build AI as a story · 23 points
HN discussionSubmitted Lifelogging with Large Language Models as a story · 6 points
HN discussionSubmitted How to rid your life of algorithmic bias and not become data for AI as a story · 2 points
HN discussionSubmitted How does physics connect to variational inference in machine learning? as a story · 2 points
HN discussionSubmitted HOw Does Physics Connect to Machine Learning as a story · 2 points
HN discussionSubmitted Show HN: Scraping the NYT Most Emailed list with Kimono as a story · 2 points
HN discussionSubmitted Using an LLM to generate podcasts based on my journals, finances, & sleep data as a story · 1 points
HN discussionSubmitted Lifelogging with Large Language Models as a story · 1 points
HN discussionSubmitted Tutorial – What is a variational autoencoder? as a story · 1 points
HN discussionSubmitted My friend radicalized. This made me rethink how I build AI as a story · 1 points
HN discussionSubmitted How does physics connect to machine learning? as a story · 1 points
HN discussion
