AI Agents vs RAG Systems

<!-- SC_OFF --><div class="md"><p>I'll be upfront about my endgame: I work at a large tech company, I have a niche picked out, and I'm making the move to build and sell AI agents

<!-- SC_OFF --><div class="md"><p>Gemini 3.5 Flash launched Tuesday, and Google barely framed it as a conversational product. Instead, the company focused on coding pipelines,

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1st2r1v/at_some_point_managing_agents_started_feeling/"> <img alt="At some point managing agents started

<!-- SC_OFF --><div class="md"><p>everyone's focused on the benchmarks (14 state of the art evals, beats mythos on terminal-bench, etc) but i think the actual story of 5.5 is what

<!-- SC_OFF --><div class="md"><p><a href="https://github.com/SomeoneAlt-86/open-mythos">https://github.com/SomeoneAlt-86/open-mythos</a><br /> Claude just previewed their Mythos

<!-- SC_OFF --><div class="md"><p>Cursor dropped their new product yesterday and its not a code editor anymore. its an agent orchestration console that happens to have an editor

<!-- SC_OFF --><div class="md"><p>I've been experimenting with different ways to give AI agents access to a real computer (not just code execution) and wanted to share what I've

<!-- 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>