When studying programming, you notice something strange.Processes that are extremely complex for humans to think through can ...

现在的科研 Agent 已经能查论文、分析数据、调用工具，甚至生成完整的研究报告。但有个问题一直没解决：研究者明明纠正过 Agent 的错误，下一次遇到类似任务，它可能还是会犯同样的错。最近，PhAI Labs 团队发布了 ScienceBuddy，尝试让科研 Agent 真正从使用过程中积累经验。这项工作的特别之处在于，它没有只盯着模型本身，而是将 Harness 自进化和模型强化学习结合起来 ...

I drove its lattice-mcp tools by hand from a TypeScript client, checked every answer against grep, and hit five gotchas.

I've used an LLM to build apps, websites, scripts, short story outlines, images, extended design briefs, and more. But I wanted to see how far I could push it in new ways, so I tasked one with ...

See how modern search utilities add fuzzy matching, context highlights, and configurable result pipelines for speed.

AI makes itself better.When I see the term "recursive self-improvement," I imagine a future where AI gets smarter and smarter ...

MIT’s Alex Zhang reveals why OpenAI and Anthropic coding agents are basically the same, sparking debate in AI development circles. Find out more.

导读｜RSI（递归自我改进）不应只发生在模型参数层：类比人类大脑的不是 LLM，而是整个 Agent。EverMind 开源的 Raven V0.2.0 为此提供了两个核心设计：为 RSI 而设计的 Harness 框架，以及统一编排专业 Agent 的 The Harness of Harnesses。在多 Agent 编排、深度研究、编码、设计与持续执行评测中，Raven 的多项结果优于同底座 ...

Prime Intellect has open-sourced Prime Agent, a self-improving coding harness designed around two abstractions, the Recursive Language Model (RLM) and Continual Harness. Fixed tool schemas and context ...

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We ...