Coding agents for document extraction
Coding agents become cost-effective for document extraction over 10 pages, offering better value than specialized OCR tools for longer documents.
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Every published item, in order · 1470 items
Aug 23
AI Agents Context Acquisition Paper
The framework provides a measurable benchmark to evaluate your agent's performance against the true optimum, helping improve efficiency and reduce costs.
Papers00:23
Chinese contentArena对话：与@poolsideai研究人员训练LagunaPoolside团队分享Laguna训练细节，了解他们如何结合人类和智能体优化训练循环，对AI训练感兴趣的你不容错过。
Aug 22
Google EnvHarness for agent training
The research offers a practical solution to improve AI agent training efficiency with measurable performance gains.
ClawFather Agentic Engineering
The interview offers practical agentic engineering concepts and startup ideas relevant to developers building AI products in 2026.
VGB sampling method for AI inference
VGB provides a more reliable alternative to standard sampling methods that fail during long AI text generation, affecting developers working with complex language models.
Harvey's Moneyball Research Approach
Harvey's budget research approach offers a blueprint for smaller organizations to compete with larger AI labs.
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Papers00:03
Chinese content递归自我改进已近在咫尺？智能体正在检查失败运行并改进工具和技能Phil Schmid 分享了智能体如何进行递归自我改进，了解智能体如何自我学习和优化自己的工具和技能，值得一读。
Aug 21
Chinese contentAnthropic 发布 Claude Code 创业指南
想了解如何用AI编程工具提升团队效率？Anthropic的这份指南值得一读，它展示了如何用AI实现10人团队产出百人成果。
Chinese contentTuring Award Winner Discusses LLMs
Rich Sutton, a Turing Award winner, shares his insights on LLMs, highlighting their limitations and the broader scope of AI intelligence.
Harness Continual Learning Paper
The method prevents previously reliable agent behavior from breaking when updating harness components, crucial for developers working with autonomous AI systems.
YC Paper Club Data Session
The session addresses practical data challenges for developers working with multilingual models in ASEAN's diverse language landscape.
Agent Post-Training Analysis Paper
The findings reveal critical limitations in agent training strategies that affect performance on benchmark tasks like GSM8K and HumanEval.
Aug 20
Papers23:04
Chinese contentLLM 与嵌入模型选择困境斯坦福团队发了个新研究，说现在 LLM 做文本嵌入比专用模型还好，但成本高得多。看完就知道啥时候该用 LLM，啥时候该用老模型了。
Papers05:25
Chinese contentOPSD与Continual Learning研究讨论会聚焦数据难题@rronak_团队讲了GRPO在Continual Learning里的改进思路，想了解行业前沿的人可以去听听。
Papers03:55
Chinese content专家治理代理执行公民构建 企业软件开发对比解析martinfowler发文讲企业软件开发和普通应用的差异，能帮你明白两者不一样的地方，和普通开发比更系统。
Aug 19
Aug 18
Chinese contentGitSkills数据集：覆盖约380万份SKILL.md的智能体技能库
GitSkills把近28万个仓库的380万份SKILL.md整理成SQLite文件，方便挖点子。
Papers02:16
Chinese contentMicrosoft参加SIGCOMM 2026，展示网络流量工程等研究微软要在SIGCOMM上晒网络研究，有负载均衡新招和AI模拟网络，搞网络的快去看看。
Aug 16
Chinese contentLlamaParse发布ExtractBench基准与Agentic Plus提取层
LlamaParse搞了个ExtractBench，测出来商业VLM处理长文档会漏数据；他们新出的Agentic Plus准确率95.6%，成本还低。做文档提取的可以看下。
Aug 15
Aug 14
Papers03:43
Chinese contentJürgen Schmidhuber：首个反向传播CNN 1988年由Wei Zhang等提出原来首个反向传播 CNN 是 1988 年 Wei Zhang 等人做的，后来拿到 FDA 批准，成了美国读乳腺 X 光片的头号 AI。
Chinese content写AGENTS.md规则前看看Harness-IF：区分真规则与巧合
如果你在给编码智能体写AGENTS.md，这篇论文用256条规则和12个模型实测告诉你哪些规则真有用，别凭感觉写了。
Chinese contentFireworks 用 Anthropic J-Lens 探针测试 Kimi K3 与 Qwen 3.5-9B
Fireworks 把 Anthropic 的 J-Lens 探针装到 Kimi K3 和 Qwen 3.5-9B 上，发现模型在蹦出第一个 token 前就把词准备好了。看内部状态搞可解释性，挺有意思。
Aug 13
Chinese contentClaude、GPT、Gemini加密推理链被破解，可窃取API密钥
欧洲团队破解了三大AI的加密思维链，还从公开日志里翻出62把API密钥，看完你就知道API设计有多危险。
