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Why Memorized Knowledge Fails to Generalize in LLM Finetuning

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Jul 14, 2026

Why Memorized Knowledge Fails to Generalize in LLM Finetuning

Plus more about Single Async Opt for Agentic RL, Remember When It Matters, and Sparse Delta Memory

by cloud
by cloud
You Only Need 1 Layer for RLVR?

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Jul 7, 2026

You Only Need 1 Layer for RLVR?

plus more about AdaJEPA, Program-as-Weights, The World Is In Your Mind, and Dual On-policy Distillation

by cloud
by cloud
DeepSeek Just dropped a new speculative decoding method!

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Jun 30, 2026

DeepSeek Just dropped a new speculative decoding method!

plus more about Tapered LMs, Improved LLDMs, AutoData, and You Don't Need To Run Every Eval

by cloud
by cloud
What even is a >< former (yes >< former)

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Jun 23, 2026

What even is a >< former (yes >< former)

plus more about Looped World Models, Fixed-Point Reasoners, and ExpRL

by cloud
by cloud
MiniMax M3's New Attention: MiniMax Sparse Attention

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Jun 16, 2026

MiniMax M3's New Attention: MiniMax Sparse Attention

plus more about FlashMemory-DeepSeek-V4, Trajectory-Refined Distillation, Test-Time Gradient Guidance, and End-to-End Context Compression at Scale

by cloud
by cloud
Microsoft just shared the frontier data engineering secrets

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Jun 9, 2026

Microsoft just shared the frontier data engineering secrets

plus more about If LLMs Have Human-Like Attributes, Then So Does Age of Empires II, Cosmos 3, and Robots Need More than VLA and World Models

by cloud
by cloud
DiffusionBlocks: Save 2-3x Training Memory!?

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Jun 2, 2026

DiffusionBlocks: Save 2-3x Training Memory!?

plus more about Bitter Lesson in Data Filtering, Do Language Models Need Sleep, and Neural Weight Norm.

by cloud
by cloud
Generative Recursive Reasoning

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May 26, 2026

Generative Recursive Reasoning

plus more on the Benefits of Subword Tokenization, HRM-Text, Probabilistic Tiny Recursive Model, and Vector Policy Optimization

by cloud
by cloud
Long Context Pre-Training w/ Lighthouse Attention

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May 19, 2026

Long Context Pre-Training w/ Lighthouse Attention

plus more about Self-distilled Agentic RL, Embedded Language Flows, and Negation Neglect

by cloud
by cloud
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