2026-05-25 · 月 生成 19:14:10
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🌟 本日のヘッドライン
OpenJDK News Roundup: Vector API, Compact Object Headers and G1GC as Default in JDK 27
There was a flurry of activity in the OpenJDK ecosystem during the week of May 18th, 2026, highlighting three JEPs elevated from Proposed to Target to Targeted and three JEPs elevated from Candidate to Proposed to Target for JDK 27. The proposed release schedule has also been finalized. By Michael R
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There was a flurry of activity in the OpenJDK ecosystem duri… (摘要兜底)
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🔥本日のハイライト
9/10 ニュース
Deal also launched the first quantum foundry company, but is there a need for it?
9/10 ニュース
Here’s a fun one. Back in 2014 I linked to a post by Jay Haynes in which he projected that with a very reasonable level of annual growth, Apple ought to reach a $3 trillion market cap within 10 years. At the time of his writing, Apple’s market cap was “just” $450 billion, and no company had hit the
9/10 新製品
9/10 新製品
规模化的真实性曾是矛盾,如今已成现实。 定义简报,设定风格,Luma Agents 从这里构建每一条 UGC 风格广告。 让它真实 → http://lumalabs.ai/app
7/10 業界分析
教皇里奥十四世在首份重要通谕《Magnifica Humanitas》中警告了AI及不受约束的技术力量带来的风险。该通谕于2026年5月15日发布,是教皇关于"在人工智能时代守护人"的宣言。文件重点讨论了AI驱动战争的危险、AI对劳动的影响,以及建立新的法律和伦理框架来规范技术的必要性,强调AI的快…
7/10 テック
📖深読みの価値あり
🕐 約 3 分 · テック 7/10
不依赖新光刻工艺!麒麟 2027、昇腾 990 芯片在路上,华为何庭波"韬定律"论文要点大揭秘
💡 技術的な詳細が引用可能
华为何庭波在ISCAS 2026上提出"韬定律",并介绍逻辑折叠(LogicFolding)技术。该技术通过三维空间拓扑重组提升芯片性能,不依赖新光刻工艺。在麒麟2026芯片测试中,晶体管密度从155 MTr/mm2提升至238 MTr/mm2,性能核心能效提高41%,最大时钟频率提升近13%。论文显示,麒麟2027芯片已进入Silicon状态,后续规划包括麒麟2028、2029。AI芯片方面,昇腾990计划在2030年左右引入逻辑折叠,硬件集成预计到2035年提高超过100倍。
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🕐 約 3 分 · チュートリアル 6/10
Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
💡 チュートリアル素材に展開可能
This paper introduces Dream-MPC, a hybrid reinforcement learning approach combining Model Predictive Control with learned models and policy priors. It addresses limitations of current methods by using gradient-based optimization for planning, effectively leveraging the advantages of both planning-based and policy-based paradigms to improve sample efficiency.
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🕐 約 3 分 · チュートリアル 6/10
Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic
💡 チュートリアル素材に展開可能
This paper addresses expressivity limitations of linearized task vectors in model merging and unlearning. By distilling linearized behavior from non-linear models, it maintains compositionality benefits of linear fine-tuning while improving task vector expressiveness and reducing model interference.
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🕐 約 3 分 · チュートリアル 7/10
Harness, Scaffold, and the AI Agent Terms Worth Getting Right
💡 チュートリアル素材に展開可能
本文旨在厘清 AI 智能体领域中易混淆的关键术语。文章指出,模型(如 Claude、GPT)本身是无记忆、无循环的大语言模型。其行为由"Scaffolding"(行为定义层,如系统提示、工具描述)塑造,而"Harness"(执行层)负责调用模型、处理工具调用与控制循环,是智能体运行的核心。两者结合,模型才能成为智能体。文章以 Claude Code、Codex 为例,说明同一模型搭配不同 Harness 会产生迥异体验,并提出了 Agent = Model + Harness 的常见理解框架。术语尚未统一,本文旨在提供一个实用的心智模型。
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🕐 約 3 分 · 業界分析 7/10
DeepSeek将对其旗舰AI模型实施永久性75%折扣
💡 業界動向と分析
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📂カテゴリで見る
新製品
Grok Build 现已面向所有 SuperGrok 和 X Premium+ 用户推出 Beta 版。 使用 Plan Mode,通过 Imagine 创建图像和视频,并使用 CLI 构建自动化或编排器。 访问 http://x.ai/cli 开始使用。
✅隐式缓存现已在Qwen3.7-Max上线--自动启用,无需设置。 ⚡️开箱即用,更快更便宜。 需要更高、更确定的命中率?请尝试显式缓存。🙌 🔗最佳实践🔗:https://www.alibabacloud.com/help/en/model-studio/explicit-cache-best-p…
オピニオン
Analyzes the challenge in multi-task automatic radiology report generation of balancing discriminative clinical supervision constraints with generation smoothness requirements. Identifies failure modes in linear scalarization strategies and proposes gradient dynamics solutions for improved clinical AI systems.
業界分析
多名开发者在 OpenAI Codex 后端日志中发现未官宣的 GPT-5.6 模型,内部代号 iris-alpha。该模型将支持 150 万 token 的上下文窗口,较当前 GPT-5.5 的 105 万 token 提升约 43%,有望于今年 6 月发布。
据报道,苹果为改造下一代Siri,正使用一个定制版、参数规模达1.2T的Google大模型作为其核心,这显著大于预估约300B参数的Gemini 3.5 Flash。该模型将驱动Siri的部分功能,其中简单查询预期会在本地设备运行。苹果面临的关键挑战是确保该大模型能够足够快速地响应日常问题。
チュートリアル
Anthropic联合创始人Chris Olah在梵蒂冈出席教皇Leo XIV关于AI的通谕发布会。他指出,所有前沿AI实验室都面临商业、研究及地缘政治等多重压力,这可能与做正确的事相冲突,因此外部监督至关重要。
这是一个结构化的提示词,用于指导 Codex 自动分析其历史记录以识别并固化重复工作流。该框架要求 Codex 回顾会话、Memories 等数据,找出重复、耗时且有明确复用价值的任务。筛选标准包括至少出现两次、输入稳定、可提升效率等。
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