r/mlscaling
21k members
r/mlscaling is a subreddit with 21k members. The community frequently discusses ai, scaling, models, training, and model, and the most common flair used is r, n, oa, econ, n, t, n, and n, oa.
ML/AI/DL research on approaches using large models, datasets, and compute: "more is different"
Popular Topics in r/mlscaling
#1
Ai
110 posts
#2
Scaling
66 posts
#3
Models
44 posts
#4
Training
35 posts
#5
Model
32 posts
#6
Deep Learning
23 posts
#7
Ml
21 posts
#8
Llm
20 posts
#9
Reasoning
18 posts
#10
Language
18 posts
Flair Used in r/mlscaling
#1
R
: "Personas in a Pre-Internet Language Model (Talkie-13B experiments that prove ???)"
5 posts
#2
N, OA, Econ
: ""OpenAI Raises Less Than Half of $30 Billion Target in Latest Round: values it at $1,250b, less than its $1,400b target", WSJ 2026-10-30"
2 posts
#3
N, T
: ""Formalizing the Enormous Theorem: Axiom has formalized in Lean the classification of finite simple groups, the longest proof in the history of mathematics", Axiom"
2 posts
#4
N
: ""Reorienting the Super Intelligence Frontier to Serve Americans", AFPI"
2 posts
#5
N, OA
: "OpenAI discovers a spy device planted by an engineer in its offices"
1 post
#6
DM
: "Gemini 4 Carbon"
1 post
#7
OP, RL, Econ, Data
: ""There is no posttraining data commons", David Hall"
1 post
#8
N, Econ
: ""In China, the AI [stock market] bubble has already burst", Reuters 2026-10-26"
1 post
#9
R, T, Emp
: ""I Tried Every LLM Architecture Change since 2020", Nikita Pavlichenko"
1 post
#10
AN
: "Strengthening our defenses against distillation attacks"
1 post
Member Growth in r/mlscaling
Yearly
+5k members(31.7%)
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Last updated: November 5, 2026