Your Inference Server is Secretly a Learner: Open-Sourcing Reef for Continual Self-Improving Agents
1. Before all the “RSI” hype becomes realBefore today's excitement around RSI is fully realized, we want to open-source Reef, an infrastruct...
Topic
#continual-learning
6 篇笔记
From context to dreams: architecting memory for AI agents
Have you ever felt that every conversation you have with an LLM across sessions feels like starting over from scratch? LLMs have a problem: ...
Why Agents Started Dreaming (And What is Dreaming)?
A long-running agent gets really worse at remembering facts over time.As the context window fills up during the conversation, and especially...
前OpenAI推理负责人JT与Gemini pretrain负责人Rohan: Continue learning的未来
📝 摘要 本文是红杉资本对 Core Automation 联创 Jerry Tworek（前 OpenAI o1 reasoning 负责人）和 Rohan Anil（前 Google Gemini pretrain 负责人）的访谈。两人共同阐述了 Transformer 架构的根本局限——训练停止后无法真正持续学习——以及 Core Automation 寻找"Transformer 替代者…
Towards Automating Eval Engineering
Today we’re releasing our Eval Engineering Skill, a skill that helps coding agents build evals using context from a repository and agent tra...
A Taxonomy of Self-evolving Agents
Self-evolving agents are becoming popular. [Hermes Agent](https://hermes-agent.nousresearch.com/docs/user-guide/features/skills) enables aut...