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论文提出GanJiang——一个用于粉末X射线衍射分析的自学习智能体，基于XMatcher、XQueryer、XDecomposer和WPEM构成的衍射分析生态系统，通过诊断失败并修订可执行技能来积累经验，无需重训语言模型即可在单相和多相识别基准上取得领先性能。
A practitioner describes a small self-learning loop around an AI message-drafting assistant, pairing a banned-words/structural-tells checker with a nightly job that extracts style rules from edits and rejections, tightly constrained by a 6-rules-per-night cap and a 25-rule style-only limit with sanitisation to prevent the model from self-instructing beyond bounds.
Li Xiaolai's open-source book "Self-Teaching Is a Craft" has surpassed 17,000 stars on GitHub — it teaches programming (Python, recursion, TDD, problem decomposition) as a way to build genuine self-learning ability, making it more a learning methodology than a beginner's coding guide.
BrainStem is a self-learning language-understanding system designed to acquire linguistic structures from unsegmented text through statistical observation, modeled on biological memory consolidation for lifelong learning.
RoboFoundry proposes a self-evolving system-as-policy framework for embodied agents, achieving state-of-the-art performance on benchmarks and enabling zero-shot transfer in real-world deployments.
The article discusses various methods for learning AI and AI agents in 2026, such as self-experimentation, free content, structured courses, and AI-assisted paths, and asks readers to describe their ideal learning setup.
A tweet from Garry Tan highlights Auren Hoffman's perspective that teaching children to learn complex topics from YouTube videos is a crucial skill for the modern age.
Testing whether an AI agent can detect changes in a website and adapt its browser automation workflow, focusing on recovery from failures in self-learning systems.
After an agent escape incident, the Aimee platform has been overhauled with a new harness emphasizing governance, auditability, and observability, highlighting the importance of failure in advancing AI agent learning.
Web Search Agents by Nimble are self-learning agents that automate web research and retrieval for specific domains, enhancing AI with relevant web context.
This article compiles 7 Chinese financial knowledge base projects on GitHub, covering macroeconomics, financial statements, ETF investments, and more, aimed at helping readers systematically learn investing and personal finance.
A tweet about an 11-year-old's understanding of AI principles, marveling that being able to use AI for self-learning is the biggest differentiator in this era.
A Peking University undergraduate compiled high-quality open-source course resources (from MIT, Stanford, Berkeley, etc.) accumulated over four years of self-taught computer science into an open-source document arranged in a practical order, aiming to help beginners learn programming systematically from scratch.
Robynn AI offers a platform for self-improving websites that use self-learning to continuously enhance and heal themselves.
ConwAI is a custom 500M parameter AI model developed over five months, featuring self-learning and a distinct personality, running locally on an iMac.
A discussion on how AI agents learn in three layers (model, harness, context) and why capturing user corrections as labeled examples is key to building self-learning agents that improve over time.
The tweet discusses the concept of self-learning as a competitive moat, highlighting browser activity and agent traces as key data sources, and introduces AG-UI, an open standard for capturing user-agent interactions to improve products.
The article discusses a method for building self-learning agents by combining agent traces with in-browser user activity, using the AG-UI protocol to capture and apply learnings, enabling products to improve through usage and create a business moat.
Knowledge Atlas by Fini is a self-learning knowledge base that improves itself.
A self-improving meta-skill for AI coding agents that captures and persists learned knowledge across sessions, preventing the need to re-teach the agent each time. Works with Claude Code, Cursor, Codex, and other agents.