r/mlscaling↗
Scaling Machine Learning: Big Models/Data/Compute—More Is More
ML/AI/DL research on approaches using large models, datasets, and compute: "more is different"
20k subscribers137 posts / mo in Sep 202682 authors / mosince 2020
r/mlscaling has 20k members (+32% over the last 12 months). It gets about 137 posts a month from 82 people. Top topics: LLMs and AGI Progress, Local LLMs and Future of AI.
When to post on r/mlscaling
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How r/mlscaling has grown
Subscriber growth
Subscribers over time
Monthly activity
Posts, comments and authors per month
Topics and brands on r/mlscaling
Top topics
Share of the subreddit's posts
- LLMs and AGI Progress2.9%
- Local LLMs2.6%
- Future of AI1.3%
- OpenAI Updates0.8%
- OpenAI Models0.8%
Brands people mention
Most-mentioned brands and sites, last 12 months
- arXiv.org e-Print archive
- Hugging Face
- Substack
- Openai
- Home \ Anthropic
Everything else about r/mlscaling
Posting rules and account requirements, how often posts get removed, who writes here (age, gender, countries), what people ask for, how they talk, and related subreddits — all in the full report.
Posts and activity for Sep 2026. Members from Reddit's subscriber counts. Read from the same data the app runs on. Our research