[R] Interested in recent research into recall vs recognition in LLMs

<!-- SC_OFF --><div class="md"><p>I spent the few days building a benchmark that maps where frontier LLMs fall on a 2D political compass (economic left/right + social

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s1ckkm/why_llms_sound_right_but_fail_to_actually_do/"> <img alt="Why LLMs sound right but fail to actually

<!-- SC_OFF --><div class="md"><p>I’ve been digging into ANN-based retrieval (HNSW, IVF, etc.) and something keeps showing up once you plug it into a real RAG pipeline.</p>

<!-- SC_OFF --><div class="md"><p>I've been using AI extensively for ML research, and I've noticed a bottleneck: brainstorming research directions and generating smoke run

<!-- SC_OFF --><div class="md"><p>This wasn't always the case, but now almost any research topic in machine learning that you can imagine is now being done MUCH BETTER in industry

<!-- SC_OFF --><div class="md"><p>Recently, I started working on DNA sequence modeling and decided to explore <strong>linear attention</strong>, mainly because DNA sequences can

<!-- SC_OFF --><div class="md"><p>I've been working on MDA (Modular Dynamic Architecture), an online associative memory system for LLMs. Here's what I learned building it.</p>