memory
memory on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on memory in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around memory, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
![Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]](https://preview.redd.it/b0u6q9a46ndh1.jpg?width=140&height=98&auto=webp&s=dbb02d2e0fc85305a04e37864167c2578891d46c)
Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]
Researchers have introduced DABSN (Dynamic Adaptive Bias State Network), a novel recurrent language model architecture demonstrating promising results in reasoning, memory, and long-sequence tasks. The initial preprint and accompanying code—available in PyTorch, C++, and Triton—detail the architecture’s behavior and performance across benchmarks like MQAR and A5/60. Early language modeling experiments with a 24M parameter model have yielded unexpectedly strong results, prompting a second paper focused on scaling and long-context behavior. Collaboration is sought for independent reproduction, evaluation design, and access to larger GPU resources.
You can build your AI's memory just by talking. Here's the catch. #AI #aiagents #AImemory
Unlock your AI agent's potential with a surprisingly simple approach: conversational memory. You can build it just by talking. The catch? Scaling this memory effectively reveals underlying architectural complexities that can slow development. Prioritizing a robust context store, as explored in our article "Comprehension at AI Speed," is crucial for maintaining agility and preventing hidden bottlenecks. #AI #aiagents #AImemory