This is a subreddit preview page. If you have a GummySearch account, please add this Subreddit to your audience to view the full analysis features there.
r/mlscaling
15k members
r/mlscaling is a subreddit with 15k members. Its distinguishing qualities are that the community is large in size.
ML/AI/DL research on approaches using large models, datasets, and compute: "more is different"
Popular Themes in r/mlscaling
#1
News
: "Trump allies draft AI executive order, includes "Manhattan Projects" for military AI"
18 posts
#2
Ideas
: ""Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?", Yue et al 2025 (RL training remains superficial: mostly eliciting pre-existing capabilities hidden in base models)"
9 posts
#3
Money Talk
: ""Google announces $250/month AI Ultra subscription plan" ($50 more than OA Pro)"
3 posts
#4
Pain & Anger
: "Data movement bottlenecks could limit LLM scaling beyond 2e28 FLOP, with a "latency wall" at 2e31 FLOP. We may hit these in ~3 years."
2 posts
#5
Opportunities
: "Thinking Machines is aiming to raise a $1 billion funding round"
1 post
Popular Topics in r/mlscaling
#1
Ai
: ""Facebook's Llama Ai Team Has Been Bleeding Talent. Many Joined Mistral.""
64 posts
#2
Scaling
: "Ilya Sutskever launches 'Safe Superintelligence', a new startup to race for AGI by Scaling LLMs"
36 posts
#3
Model
: "Large Language Monkeys: Scaling Inference Compute with Repeated Sampling, Brown et al. 2024 [Given sufficient number of attempts, smaller Models can reach parity with larger Models in solving tasks. Pareto frontier for compute cost varies from task to task]"
21 posts
#4
Training
: "Meta 2024 earnings call: "We're Training the Llama 4 models on a cluster that is bigger than 100,000 H100s... smaller Llama 4 models will be ready first... early next year""
19 posts
#5
Openai
: "Openai co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion"
19 posts
#6
Llm
: ""Llms may be fundamentally incapable of fully general reasoning, and if so, short timelines are less plausible.""
16 posts
#7
Data
: "A Little Human Data Goes A Long Way (training on 90% synthetic Data is fine, but 100% greatly worsens performance)"
16 posts
#8
Reasoning
: "Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities"
15 posts
#9
Models
: ""VideoGameBench: Can Vision-Language Models complete popular video games?", Zhang et al 2025 (Gemini 2.5 Pro, GPT-4o, & Claude 3.7 cannot reach first checkpoint in 10 Game Boy/MS-DOS games)"
14 posts
#10
Language Models
: "LLMs Can Now Learn without Labels: Researchers from Tsinghua University and Shanghai AI Lab Introduce Test-Time Reinforcement Learning (TTRL) to Enable Self-Evolving Language Models Using Unlabeled Data"
13 posts
Member Growth in r/mlscaling
Yearly
+5k members(51.9%)
Similar Subreddits to r/mlscaling

r/ArtificialInteligence
1.6M members
146.5% / yr
r/deeplearning
204k members
25.9% / yr

r/DeepSeek
71k members
1157.4% / yr
r/LanguageTechnology
58k members
18.5% / yr

r/LLMDevs
103k members
941.9% / yr

r/LocalLLaMA
521k members
159.7% / yr

r/MachineLearning
3.0M members
2.7% / yr

r/machinelearningnews
107k members
119.9% / yr

r/OpenAI
2.4M members
43.4% / yr

r/singularity
3.8M members
29.2% / yr