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LLM Scaling
📈 LLM Scaling
Specific
scaling laws, inference scaling, compute, throughput
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38
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Prompt Engineering
arXiv
·
3h
3 hours ago
Scaling
Laws
for Task-Specific
LLM
Distillation
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Actions for Scaling Laws for Task-Specific LLM Distillation
⚡
LLM Serving
cerebras.ai
·
6d
6 days ago
The Economics of AI Reasoning
Covers
Implications of Large-Scale Test-Time Compute (5 minute read)
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Less-relevant results
🧠
Transformer Architecture
docs.lamini.ai
·
18h
18 hours ago
Lamini: Build mini-agents with 90%+ accuracy
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Hacker News
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GPU Computing
NVIDIA Blog
·
1d
1 day ago
NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure
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Actions for NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure
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Deep Learning
The Intrinsic Perspective
·
16h
16 hours ago
Screentime correlates more with kids' brains than IQ; Matt Yglesias gets Dan Dennett wrong; Why literary fiction awards keep falling for AI scams; & more
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2 stories
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The Serpent in the Grove | Jamir Nazir
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Actions for Screentime correlates more with kids' brains than IQ; Matt Yglesias gets Dan Dennett wrong; Why literary fiction awards keep falling for AI scams; & more
🔬
Deep Learning
dwarkesh.com
·
4d
4 days ago
The data black hole at the center of AI
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4 stories
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Anthropic raises $65B in Series H funding at $965B post-money valuation
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Systems Design
SemiAnalysis
·
16h
16 hours ago
CXMT is set to challenge DRAM incumbents
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Hacker News
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Actions for CXMT is set to challenge DRAM incumbents
🤖
AI Agents
arXiv
·
1d
1 day ago
Active
Inference
as the
Test-Time
Scaling Law for Physical AI Agents
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Actions for Active Inference as the Test-Time Scaling Law for Physical AI Agents
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PyTorch
robinsloan.com
·
6d
6 days ago
The secret of lightness
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AI Agents
GitHub
·
5d
5 days ago
owainlewis/awesome-artificial-intelligence
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33 stories
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Pi.dev: There are many coding agents, but this one is mine
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AI Safety
Lawfare
·
10h
10 hours ago
Today on
Lawfare
: June 23, 2026
Discussed on
Substack
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Actions for Today on Lawfare: June 23, 2026
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AI Agents
TechCrunch
·
1d
1 day ago
The AI world is getting ‘loopy’
Covers
everything is a ralph loop
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5 sources
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Ambient Irony
,
acecomments.mu.nu
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Actions for The AI world is getting ‘loopy’
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AI Safety
research.nvidia.com
·
6d
6 days ago
Enpire: Agentic Robot Policy Self-Improvement in the Real World
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8 sources
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Tom's Hardware
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Ars Technica
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Hacker News
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Actions for Enpire: Agentic Robot Policy Self-Improvement in the Real World
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Prompt Engineering
Learning From Examples
·
18h
18 hours ago
Theory-Free Takeoff
Covers
When AI Builds Itself
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Transformer Architecture
arXiv
·
3h
3 hours ago
Can
Scale
Save Us From Plasticity Loss in
Large
Language
Models?
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Actions for Can Scale Save Us From Plasticity Loss in Large Language Models?
🧠
Transformer Architecture
pathtostaff.com
·
3d
3 days ago
Self-Attention Solved the Sequential Bottleneck
Covers
10 stories
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Attention is all you need (2017)
Covered by
tldr.tech
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Hacker News
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🧠
Transformer Architecture
Jakob Nielsen on UX
·
1d
1 day ago
UX Roundup: Dark Design | Ecommerce Search | Search Engine Traffic Drops | AI vs Mythical Man-Month | AI vs Humans for UI Design | Lady Ada | Europe 2031 | AI C...
Covers
Europe 2031: What getting AI wrong means for us
Discussed on
Substack
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Actions for UX Roundup: Dark Design | Ecommerce Search | Search Engine Traffic Drops | AI vs Mythical Man-Month | AI vs Humans for UI Design | Lady Ada | Europe 2031 | AI C...
🧠
Transformer Architecture
arXiv
·
1d
1 day ago
Scalable Physics-Inspired
Transformers
for Spin Glasses
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Actions for Scalable Physics-Inspired Transformers for Spin Glasses
🖥️
GPU Computing
morphllm.com
·
5d
5 days ago
Optimizing
Models
to Be Fast at Codegen
Covers
KernelBench: Can LLMs Write Efficient GPU Kernels?
Covered by
tldr.tech
Discussed on
Hacker News
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Actions for Optimizing Models to Be Fast at Codegen
🧠
Transformer Architecture
arXiv
·
1d
1 day ago
The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for
Large
Language
Models
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Actions for The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models
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