Topic
9 篇笔记
We find that frontier LLMs are surprisingly good at natively reading and writing neural network weights, well past what we’d expect from humans or conventional algorithms.
1. Before all the “RSI” hype becomes realBefore today's excitement around RSI is fully realized, we want to open-source Reef, an infrastruct...
Agents can already edit their tools, skills, and harness. Recursive self-improvement still needs a system that can raise the verifier without capturing it.
By @Saboo_Shubham_ and @secchi_eliaWhen coding agents write the code, defining what's good is the real engineering job.Coding agents can now...
📝 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…
Self-evolving agents are becoming popular. [Hermes Agent](https://hermes-agent.nousresearch.com/docs/user-guide/features/skills) enables aut...
How AI systems are beginning to automate coding, experiments, evaluation, and research workflows ‒ and why Anthropic, Recursive, and Sakana ...
Our progress toward recursive self-improvement, and its implications.
How Warp devised a simple development pattern that anyone can use to create self-improving agents.