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r/MachineLearning

Machine Learning

Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets

Members
3,077,726
Created
2009
Posts a day
7
Avg comments, top posts this week
30

r/MachineLearning is a Reddit community with 3,077,726 members, created in 2009. It averaged about 7 new posts a day over the last month. This week's top posts had a median score of 48 and an average of 30 comments each. Iclr, learning and neurips are the words that show up most in recent titles. This month's top posts went up most often around 13:00 UTC, and most often on a Wednesday.

Only approved members can post in r/MachineLearning.

Data checked October 18, 2026 · Open on Reddit

Top posts this week

  1. 289How many of you have seen this honest ICLR submission? [D]38 comments · October 17, 2026
  2. 252Event2Vec: additive event embeddings where a linear score on a history decomposes exactly into per-event terms [P]15 comments · October 14, 2026
  3. 192PhD students, how ya feeling? [D]42 comments · October 14, 2026
  4. 157Weird pattern in the ICLR papers I was assigned to review [D]50 comments · October 14, 2026
  5. 147University GPU cluster is holding my research hostage. Can I use my internship company’s GPUs instead? 💀 [D]106 comments · October 15, 2026
  6. 119World Action Models vs VLAs: Robotics Just Had Its GPT-2 Moment [N]15 comments · October 11, 2026
  7. 119Remember alphaXiv? Their new research agents are told to report on users without telling them with no disclosure [D]18 comments · October 14, 2026
  8. 99Mapping the Post-Transformer Architecture Landscape in 2026 [D]18 comments · October 14, 2026
  9. 82What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]195 comments · October 12, 2026
  10. 71I made a Wordle-style word guessing game to teach students how vector embeddings work [P]11 comments · October 15, 2026

Top posts this month

  1. 454I wanted to watch a neural network learn [P]39 comments · September 19, 2026
  2. 415arXiv now limits submitters to up to two submissions per calendar month [N]41 comments · October 2, 2026
  3. 403Nvidia’s erroneous paper accepted as ICML’s spotlight [D]61 comments · October 8, 2026
  4. 299These Were NOT Rogue AI Escapes. Just SLOPPY Firewall Failures. [N]183 comments · September 21, 2026
  5. 291How many of you have seen this honest ICLR submission? [D]38 comments · October 17, 2026
  6. 252Event2Vec: additive event embeddings where a linear score on a history decomposes exactly into per-event terms [P]15 comments · October 14, 2026
  7. 228Functional Gradient Descent with Adaptive Representations [R]37 comments · September 28, 2026
  8. 193PhD students, how ya feeling? [D]42 comments · October 14, 2026
  9. 184Are there machine learning subfields that are becoming irrelevant (or is irrelevant)? [D]60 comments · September 27, 2026
  10. 156Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction [R]19 comments · October 1, 2026

What people ask

  1. 82What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]195 comments · October 12, 2026
  2. 184Are there machine learning subfields that are becoming irrelevant (or is irrelevant)? [D]60 comments · September 27, 2026
  3. 32How's ICLR reviewing going for you? Any observations? [D]49 comments · October 12, 2026
  4. 290How many of you have seen this honest ICLR submission? [D]38 comments · October 17, 2026
  5. 46What is wrong with AI writing - ICLR edition [D]27 comments · October 17, 2026
  6. 25How many of your paper (either paper you authored or reviewed) are desk rejected? [D]23 comments · October 16, 2026

Common words in titles

  • iclr 7
  • learning 7
  • neurips 6
  • research 5
  • training 5
  • learn 4
  • model 4
  • neural 4
  • papers 4
  • accepted 3
  • machine 3
  • not 3

Best time to post

  • 13:00 UTC · 4 top posts
  • 10:00 UTC · 3 top posts
  • 00:00 UTC · 2 top posts
  • Wednesday · 7 top posts
  • Thursday · 4 top posts

These are counted from the timestamps of this month's 25 top posts. They show when popular posts went up and don't guarantee reach.

Rules

  1. No Spam
  2. No Self-Promotion
  3. No Marketing Campaigns (SEO)
  4. No Disrespectful Behavior
  5. No arXiv Links without Body Text
  6. No Low-Effort, Beginner Questions

How to post in r/MachineLearning without breaking its rules

Similar subreddits

Member growth

We started recording r/MachineLearning member counts on October 18, 2026. Growth will show here once we have a few weeks of history.

Get this data from the API

Every number on this page comes from ChatterAPI's Reddit endpoints and is refreshed about once a week. You can pull the same data for any subreddit from your own code or AI agent.

curl "https://chatterapi.com/v1/reddit/subreddits/MachineLearning" \
  -H "Authorization: Bearer $CHATTERAPI_KEY"
{
  "data": {
    "url": "https://www.reddit.com/r/MachineLearning/",
    "name": "MachineLearning",
    "nsfw": false,
    "title": "Machine Learning",
    "createdAt": "2009-07-29T14:34:44.000Z",
    "description": "Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets",
    "subscribers": 3077726
  },
  "credits": {
    "charged": 2
  }
}

Recorded response, October 18, 2026, trimmed.

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Questions about r/MachineLearning

How many members does r/MachineLearning have?
r/MachineLearning had 3,077,726 members when we last checked on October 18, 2026.
How active is r/MachineLearning?
Based on its newest posts, it got about 7 new posts a day over the last month. This week's top posts averaged 30 comments each.
When is the best time to post in r/MachineLearning?
This month's top posts in r/MachineLearning went up most often around 13:00 UTC, and most often on a Wednesday. That's when popular posts were published, so use it as a starting point, not a rule.
Can I get r/MachineLearning data through an API?
Yes. Call GET /v1/reddit/subreddits/MachineLearning for members, rules and description, and GET /v1/reddit/subreddits/MachineLearning/posts for its posts. Each call costs 2 credits, and new accounts get 100 free credits.

Pull r/MachineLearning into your code or agent.

Sign up and get 100 free credits. No card required.