AI Research Trends
170,927 AI Papers Reveal the Biggest Research Shifts of the First Half of 2026
A deep data analysis of arXiv reveals the defining AI research trends of mid-2026: the agentic boom, Qwen overtaking Llama, and what’s fading…
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Google Nested Learning Explained: Hope Architecture, Continual Learning, and the End of Frozen LLMs
Google’s Nested Learning paper and Hope model explained: a new approach to continual learning in LLMs that addresses catastrophic forgetting…
DeepSeek’s mHC Explained: Manifold-Constrained Hyper-Connections
Manifold-Constrained Hyper-Connections (mHC) explained: How DeepSeek rewires residual connections in LLMs for next-gen AI…
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Latest AI Papers Reviews
LeCun’s LeWorldModel Explained: Finally a Stable JEPA World Model?
In this post, we break down LeWorldModel (LeWM), a new JEPA world model, introduced in a paper co-authored by Yann LeCun…
Microsoft’s SkillOpt: 2x Accuracy Without Touching the Model
A breakdown of Microsoft’s SkillOpt paper, which applies gradient-descent-like optimization to continuously improve AI agent skills…
DeepSeek-V4 Explained: The End of Standard Attention in LLMs?
In this post, we break down DeepSeek-V4, a new LLM from DeepSeek designed for highly efficient reasoning over million-token contexts…
Google Nested Learning Explained: Hope Architecture, Continual Learning, and the End of Frozen LLMs
Google’s Nested Learning paper and Hope model explained: a new approach to continual learning in LLMs that addresses catastrophic forgetting…
GDPO Explained: How NVIDIA Fixes GRPO for Multi-Reward LLM Reinforcement Learning
GDPO is NVIDIA’s solution to GRPO’s limitations in multi-reward RL for large language models. We break down the paper in this post…
DeepSeek’s mHC Explained: Manifold-Constrained Hyper-Connections
Manifold-Constrained Hyper-Connections (mHC) explained: How DeepSeek rewires residual connections in LLMs for next-gen AI…
Emergent Hierarchical Reasoning in LLMs Through Reinforcement Learning
Discover how reinforcement learning enables hierarchical reasoning in LLMs and how HICRA improves on top of GRPO…
Less Is More: Tiny Recursive Model (TRM) Paper Explained
In this post, we break down the TRM paper, a simpler version of the HRM, that beats HRM and top reasoning LLMs with a tiny 7M params model…
DINOv3 Paper Explained: The Computer Vision Foundation Model
In this post we break down Meta AI’s DINOv3 research paper, which introduces a state-of-the-art Computer Vision foundation models family…
The Era of Hierarchical Reasoning Models?
In this post we break down the Hierarchical Reasoning Model (HRM), a new model that rivals top LLMs on reasoning benchmarks with only 27M…
Microsoft’s Reinforcement Pre-Training (RPT) – A New Direction in LLM Training?
In this post we break down Microsoft’s Reinforcement Pre-Training, which scales up reinforcement learninng with next-token reasoning…
Darwin Gödel Machine: Self-Improving AI Agents
In this post we explain the Darwin Gödel Machine, a novel method for self-improving AI agents by Sakana AI…
Most Read AI Papers Reviews
GRPO Reinforcement Learning Explained (DeepSeekMath Paper)
DeepSeekMath is the fundamental GRPO paper, the reinforcement learning method used in DeepSeek-R1. Dive in to understand how it works…
DeepSeek-R1 Paper Explained – A New RL LLMs Era in AI?
Dive into the groundbreaking DeepSeek-R1 research paper, introduces open-source reasoning models that rivals the performance OpenAI’s o1!…
Titans by Google: The Era of AI After Transformers?
Dive into Titans, a new AI architecture by Google, showing promising results comparing to Transformers! Paving the way for a new era in AI?…
Large Concept Models (LCMs) by Meta: The Era of AI After LLMs?
Explore Meta’s Large Concept Models (LCMs) - an AI model that processes concepts instead of tokens. Can it become the next LLM architecture?…
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
In this post we dive into the era of 1-bit LLMs paper by Microsoft, which shows a promising direction for low cost large language models…
DINOv2 from Meta AI – A Foundational Model in Computer Vision
DINOv2 by Meta AI finally gives us a foundational model for computer vision. We’ll explain what it means and why DINOv2 can count as such…