r/mlscaling
20k members
r/mlscaling is a subreddit with 20k members. The community frequently discusses ai, scaling, models, training, and model, and the most common flair used is r, theory, oa, n, hardware, and moe.
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
: "LittleLearner: A 5B LLM Trained on the K5 School Curriculum (which seemingly fails to generalize)"
10 posts
#2
Theory
: "My 14B lost to gpt-5.6-sol today."
3 posts
#3
OA
: "OpenAI President Greg Brockman says GPT-4o, o1, o3, GPT-4.1, GPT-5 all used same base model"
2 posts
#4
N, Hardware
: ""Cerebras's Next Generation CS-4: Fast Just Got Faster", Semi-Analysis"
2 posts
#5
MoE
: "Kimi K3 (huge 2.8t MoE)"
2 posts
#6
Research
: "GPT-5.4 Arabic–Hebrew Hybrid Artifact: 12,160 Frozen Trials Across a One-Code-Point Prompt Split"
2 posts
#7
Code
: "I built a local context/navigation layer for AI coding agents"
2 posts
#8
D
: ""Anyone fine-tuned with Muon? Seeing extreme instability on a small MoE""
2 posts
#9
N, Hardware, T
: "USG states that Moonshot used large-scale rapid Fable distillation for Kimi K3, and has both acquired & accessed export-controlled GB300 Nvidia GPUs"
1 post
#10
N, A, Econ
: ""Anthropic IPO valuation hinges on $190-200 billion 2028 revenue forecast, sources say""
1 post
Member Growth in r/mlscaling
Yearly
+5k members(33.2%)
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Last updated: September 12, 2026