Compression Is All You Need - A thesis on Long term AI memory

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1svasld/memory_systems_with_vector_objects_as/"> <img alt="Memory systems with vector objects as

&#32; submitted by &#32; <a href="https://www.reddit.com/user/Spare-Dingo-531"> /u/Spare-Dingo-531 </a> <br /> <span><a

<!-- SC_OFF --><div class="md"><p>Link to full article <a href="https://orimnemos.com/bedrock">here </a></p> <p>TLDR:</p> <p>- LLMs are the wrong substrate for memory. Prediction

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s4f9dv/deepseeks_memory_divorce_what_happens_when_ai/"> <img alt="DeepSeek's Memory Divorce: What Happens

<h1> Compression Is Understanding: Two July Papers That Prove AI Gets Smarter by Compressing Physics </h1> <p>There's a thesis I keep coming back to: <strong>AI doesn't understand

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x6j3fr/jamming_the_flow_to_enable_memory_in_quantum/"> <img alt="Jamming the Flow to Enable Memory in

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1s4gwnq/turboquant_redefining_ai_efficiency_with_extreme/"> <img alt="TurboQuant: Redefining AI efficiency

<!-- SC_OFF --><div class="md"><p>I’ve been building Signet, an open-source memory substrate for AI agents.</p> <p>The problem is that most agent memory systems are still