tompdavis

4 ms·

1. 1.▲
   by tompdavis 5mo ago

   Author here. Collaboration with LLMs has some interesting analogies with the physics af lasers. Medium: LLM, pump energy: conversational prompting, resonant cavity: your judgement and population inversion is what makes the output shine -
2. 2.▲
   AI collaboration as a laser cavity(solitonmaths.substack.com)

   3 points by tompdavis 5mo ago|1 comments
3. 3.▲
   by tompdavis 6mo ago

   Good question. In Mnemo, reinforcement and contradiction are handled through slightly different mechanisms. We deliberately don't append — atoms are merged or stored separately but never modified as a log. When a memory is decomposed
4. 4.▲
   by tompdavis 6mo ago

   Mnemo, SOTA on LoCoMo multi-hop, is an agentic memory system that was designed for agents, with agentic experience (AX) in mind. Its differentiator is the ability to share memories with other agents, addressing the institutional knowledge t
5. 5.▲
   Mnemo: Shareable typed agentic memory system with Bayesian belief updating(github.com)

   2 points by tompdavis 6mo ago|3 comments
6. 6.▲
   by tompdavis 6mo ago

   I think this is a very important question, and it makes it clear that memory systems are less about fact retrieval, and more about knowledge classification. Memories systems are not document stores -- which to be fair this hippo system doe