AI connections newsletter
David MataciunasHi, my name is Deividas! I'm Data Scientist, and this is the AI connections newsletter. Weekly selection of best articles, videos, and podcasts about AI.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
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| Issues | 79 | Founded | 4 years ago | Last Issue | 2 months ago |
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Reading Notes: Attention Residuals 🚀
Video summary by NotebookLM
Audio summary by NotebookLM
The full paper is now available here: https://github.com/MoonshotAI/Attention-Residuals/blob/master/Attention_Residuals.pdf
Imagine a team of researchers wor...
Reinforcement Learning from Human Feedback (RLHF), explained simply
Large language models gather most of their knowledge from huge quantities of text. This pretraining helps them understand what is probable, but it doesn't necessarily teach them what is good, helpful, or appropriate. That's where RLHF comes...
Reading Notes: Recursive Language Models 🚀
Audio summary by NotebookLM
The full paper is now available here: https://arxiv.org/abs/2512.24601v1.
Official codebase for Recursive Language Models (RLMs) here: https://github.com/alexzhang13/rlm
Imagine asking an AI...
Reading notes: Deep Delta Learning 🧠
Deep neural networks became powerful largely because of residual connections. These connections let information flow through many layers without breaking training. But there is a hidden limitation: residual connections can only add informat...
Reading notes: mHC: Manifold-Constrained Hyper-Connections (DeepSeek) 🐋
Modern AI models keep getting larger and more powerful, but training them reliably is still surprisingly fragile. This post explains a recent DeepSeek paper that shows how a small architectural fix can make large models more stable as they...
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