What I've been building: ATOM Report, post-training course, finishing my book, and ongoing research

The article outlines several key initiatives and research projects related to advancements in artificial intelligence (AI) and language models:

1. ATOM Report: The author has been working on the ATOM report, which is a detailed analysis of AI progress over the past year. This report aims to provide insights into how AI technologies have evolved and what future developments might look like.

2. RLHF Book: The author mentions significant progress in developing an RLHF (Reinforcement Learning from Human Feedback) book. The book is nearing completion, with the manuscript almost ready for publication. Additionally, there are plans to expand this project into a comprehensive learning experience that includes video lectures and community engagement on YouTube.

3. Technical Research: Two recent papers have been highlighted:

   • TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities (Graf et al., 2026): This research focuses on understanding the capabilities of various models in multi-turn dialogue settings, aiming to improve training data for better performance.
   • Meta-Reinforcement Learning with Self-Reflection for Agentic Search (Xiao et al., 2026): This paper explores how context from previous attempts can be used to inform

Read the full article at Interconnects

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