Nice article on how LLMs “see” images explaining visual tokens.

<!-- SC_OFF --><div class="md"><p>I've been working on creating an AI-generated image detector and everything so called &quot;state-of-the-art&quot; in academic studies failed

<!-- SC_OFF --><div class="md"><p>I spent a lot of time building an inference engine like ollama, pure vibe coding in go. I kept trying to push it to optimize it and it was fun

<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

<a href="https://news.ycombinator.com/item?id=49097003">Comments</a>

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1wvjetq/visual_math_of_an_llm/"> <img alt="Visual Math of an LLM"

<!-- SC_OFF --><div class="md"><p>I’ve been saying this for quite some time now and this paper that came out recently really puts it clearly</p> <p><a