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blog.fastforwardlabs.com

Company blog · blog.fastforwardlabs.comaidata

blog.fastforwardlabs.com is the company blog at blog.fastforwardlabs.com, writing about ai and data. Since 2014, 26 different Hacker News readers have linked it 42 times, most often “PyTorch for Recommenders 101”. The last post was in 2022, but the archive is still widely read.

Visit the blog
42mentions?
26HN people?
2014–2026first – last linked?
Links on Hacker News per year · peak 18 in 2017

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

Cloudera Fast Forward Labs blog. The only comment about its writing calls a linked progress-in-text post a good overview. Other linking comments sit in threads on visualization and LLM agents.

Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Applied machine learning research and prototypes.

Most-linked posts?

  1. PyTorch for Recommenders 101
    3 people · 3 mentions · first linked 2018-04-13
  2. F⁠ingerprinting documents​ with steganography​
    2 people · 3 mentions · first linked 2017-06-23
  3. FairML: Auditing Black-Box Predictive Models
    2 people · 2 mentions · first linked 2017-03-10
  4. Probabilistic programming: a short annotated bibliography
    2 people · 2 mentions · first linked 2017-10-03

What Hacker News says?

  1. This blog post (from colleagues) covers the ideas in a little more detail http://blog.fastforwardlabs.com/2017/06/23/fingerprinting-do... and comes with proof-of-concept code https://github.com/fastforwardlabs/steganos .

    Comment linking /2017/06/23/fingerprinting-documents-with-steganography.html

    on “Zero-Width Characters: Invisibly fingerprinting text”
  2. Submitted The Algorithms Behind Probabilistic Programming as a story · 329 points

    HN discussion
  3. This is a good overview: https://blog.fastforwardlabs.com/2018/05/02/progress-in-text...

    Comment linking /2018/05/02/progress-in-text-summarization.html

    on “Show HN: A UI That Lets Readers Control How Much Information They See”
  4. Submitted Probabilistic programming from scratch as a story · 215 points

    HN discussion
  5. http://blog.fastforwardlabs.com/2017/09/07/to-the-future.htm...

    Comment linking /2017/09/07/to-the-future.html

    on “Fast Forward Labs Joins Cloudera”
  6. Submitted Meta-Learners – Learning how to learn as a story · 213 points

    HN discussion
  7. 10 thoughts on data visualization best practices and tools: 1) For interactive visualizations of data on 3D globes, I use a mix of C++, Python (for data cleaning), and Unreal Engine (with a plugin called Cesium). An example of this is at https://youtu.be/9i-tQ8Sr80o . 2) If I am trying to put together a 3D globe that has less quality but that can be accessed by the web, I use Mapbox GL JS, D3.js, and React. An examp…

    Comment linking /2019/04/29/visualizing-active-learning.html

    on “Data Visualization: Choropleth maps with ggplot and R”
  8. Submitted Probabilistic Data Structure Showdown: Cuckoo Filters vs. Bloom Filters as a story · 208 points

    HN discussion
  9. The probabilities are fun (and ability to manipulate/mask/logit bias them), but small nit pick: Beam search isn't popular because it results in less human like text and takes more processing time, as a concept it sounds great in theory, but it's generally worked worse in practise compared to the next token with temperature, and results in text that is not human like, the gap is larger with larger models too, it does…

    Comment linking /images/2019/05/Screen_Shot_2019_05_08_at_3_06_36_PM-1557342561886.png

    on “LLM Powered Autonomous Agents”
  10. Submitted Probabilistic Programming for Anomaly Detection as a story · 125 points

    HN discussion
  11. Submitted FairML: Auditing Black-Box Predictive Models as a story · 42 points

    HN discussion
  12. Submitted Encartopedia as a story · 36 points

    HN discussion
  13. Submitted Understanding Python bytecode by implementing tail call optimization as a story · 12 points

    HN discussion
  14. Submitted Representation Learning 101 for Software Engineers as a story · 4 points

    HN discussion
  15. Submitted Federated learning: distributed machine learning with data locality and privacy as a story · 4 points

    HN discussion
  16. Submitted Why and How Convolutions Work for Video Classification as a story · 3 points

    HN discussion
  17. Submitted Interpretability in Conversation with Patrick Hall and Sameer Singh as a story · 3 points

    HN discussion
  18. Submitted Taking Prophet for a Spin as a story · 3 points

    HN discussion
  19. Submitted FairML: Auditing Black-Box Predictive Models as a story · 3 points

    HN discussion
  20. Submitted Exploring Multi-Objective Hyperparameter Optimization as a story · 2 points

    HN discussion
  21. Submitted Applications of Graph Neural Networks as a story · 2 points

    HN discussion
  22. Submitted Deep learning made easier with transfer learning as a story · 2 points

    HN discussion
  23. Submitted PyTorch for Recommenders 101 as a story · 2 points

    HN discussion
  24. Submitted PyTorch for Recommenders 101 as a story · 2 points

    HN discussion
  25. Submitted Probabilistic programming: an annotated bibliography as a story · 2 points

    HN discussion
  26. Submitted Crowdwork for Machine Learning: An Autoethnography as a story · 2 points

    HN discussion
  27. Submitted Probabilistic programming: a short annotated bibliography as a story · 2 points

    HN discussion
  28. Submitted Encartopedia – Wikipedia with a map as a story · 2 points

    HN discussion
  29. Submitted New research on interpretabiliy as a story · 2 points

    HN discussion
  30. Submitted F⁠ingerprinting documents​ with steganography​ as a story · 2 points

    HN discussion

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