<!-- 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
<!-- 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
<!-- SC_OFF --><div class="md"><p>I’ve been experimenting with a different way of handling agents and I’m trying to sanity check if this makes sense.</p> <p>Right now most setups
<!-- 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>
<!-- SC_OFF --><div class="md"><p>Question: Has anyone else started using poor grammar and typos just to prove they aren’t AI? Or am I just a weirdo. </p> <p>I consider myself a
<!-- SC_OFF --><div class="md"><p>Guys to combat cognitive atrophy and unearned confidence in age of AI collaborations, i created a framework that you can easily put in your
<p>Most AI agents have amnesia.</p> <p>You close the chat window. They forget everything. Every session starts from zero. Every context window fills up and dumps the earliest
<!-- SC_OFF --><div class="md"><p>AI summary: The paper proposes a brain-inspired artificial intelligence system called the Generative Cognitive Map Learner (GCML) that solves
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