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Great to meet today with @POTUS, @JDVance, @SpeakerJohnson and Administration + tech leaders. Important conversation and we signed today the White House Accord on Super Intelligence. As I shared today, Google has invested hundreds of billions in the last two years alone, with more to come, across the entire stack, to deliver benefits for America and the world. We’re working to build products that deliver real value for people and businesses, invest in local communities, and build trust in the technology. Industry also has to innovate responsibly. Google’s focused on building the right way, with appropriate testing, evaluations, red-teaming, and other safeguards against misuse and misalignment – and releasing models or products only after they’ve been thoroughly reviewed. We are committed to working with other industry leaders to establish norms and build public confidence. The White House Accord and the Joint Commitment on Frontier Responsibilities signed today is a solid basis for moving forward - it contains real tangible steps to promote safe development, while delivering the economic and scientific benefits of this technology.

EvoOntology：给数据智能体一个会成长的语义层 数据智能体（Data Agent）面对异构数据时，能“看见”的往往只有表名、列名和文件路径；指标如何定义、实体如何关联、业务上有何约束，这些语义都藏在数据之外。让智能体每次从零探索，代价高且易出语义错误；把人工维护的语义层全量注入提示词，又难以扩展、随数据漂移而失效。这就是论文中的 agent-data gap。 中国人民大学 ruc-datalab 提出的 EvoOntology（arXiv:2609.15779）给出了新解法：首个面向数据智能体的自进化本体层（Self-Evolving Ontology Layer）。核心洞察是把本体当作“可训练的智能体状态”：不更新模型权重，而让语义知识随真实使用持续积累、验证、版本化演进，每次变更可检查、可比较、可回滚。 本体以三层结构封装为 MCP 服务器，供智能体运行时主动查询： · Schema Layer 定义本体的表示边界（节点族、语义关系、引用模式）； · Content Layer 是类型化语义图，由 Terms / Mappings / Constraints / Evidence 四类节点构成，每个语义对象都有工作负载证据支撑，落地验证后才提交； · Tool Layer 仅暴露 browse_semantics 与 resolve_semantics 两个 MCP 工具加紧凑会话 manifest，智能体按需检索当前步骤所需语义，而非全量注入上下文。 本体遵循 Build → Use → Evolve → Evaluate → Publish 生命周期：构建器智能体从真实工作负载推导候选概念并对照原始数据验证；交互轨迹被持续记录；进化时诊断重复行为、归因到具体层级并生成局部补丁；候选版本只有在相同数据、相同智能体、相同解码设置与交互预算的配对评估中可复现地胜过父版本，才会发布。 在 BIRD、DDR-10K、InsightBench 三个基准、四个 LLM 骨干（GPT-5.5 / GPT-5.6-sol / Claude-Sonnet-5 / Claude-Opus-4.8）上，EvoOntology 一致优于无本体 ReAct 与静态初始本体。其中 DDR-Bench 上仅“自进化”环节就贡献了 +7.7（81.8 → 89.5），验证了持续演进相对静态语义层的增量价值。 论文： 代码：

🚨 JUST NOW: Elon Musk and Jensen Huang give an INSIDE LOOK at the big meeting between top AI firms and President Trump today, saying they'll now be "grading each other's homework" 😆 @elonmusk: "We signed a JOINT DECLARATION regarding SI safety, and I think that'll be published by the White House soon." "We agreed to a number of things that include a joint monitoring board, special committees, and just generally grading each other's homework, which is a LOT better than if people just grade their OWN homework, for obvious reasons." 😂 NVIDIA CEO @JensenHuang: "I thought the declaration has a LOT of teeth. I thought it was REALLY well written." "It includes everything from rigorous internal controls, well established methods, well established processes, very clearly documented intentions of the products that you're building, internal controls to make sure that you're delivering on those intentions, internal audit that escalates, external audits from a third party, and then industry sharing best practices." "POTUS pulled it all together. He watched over the meeting, and was able to bring EVERYBODY out."

🚨 JUST NOW: Elon Musk, shoulder to shoulder with President Trump, explains why AI is going to lift up ALL of humanity -- not force them into poverty @elonmusk: "I think by FAR the most likely outcome is an AGE OF ABUNDANCE where we don't have just universal basic income, we have universal HIGH income. And people speak about medical benefits. "Maybe it's worth talking a bit more about that. When you have robots and you have superintelligence, it means that EVERYONE in the world can have better medical care than anyone here, including ME. And wouldn't that be wonderful?!" Jobs are going to change. Jobs have ALWAYS changed. But being a computer used to be a job. There used to be buildings FULL of people doing calculations, but now digital computers to do those tasks. I don't think anyone is pining to go back and do calculations all day to do bank interest rates, which is what they used to do. So I think we'll see an evolution of roles. And as the President has mentioned, it's not as though unemployment has increased. In fact, there's a TREMENDOUS demand for people. So I think the most likely outcome--and it's probably worth looking at--the most likely outcome is one which is INCREDIBLY beneficial. And it's a future that you, if you could look into the future, it has a future you would WANT." WELL SAID, Elon. No notes 👏

ChatGPT Space is your new home for creating and collaborating with your team and AI. In Space, you can work with pages—a new kind of interactive document with charts, images, checklists, and dashboards. ChatGPT can build pages for you based on the work you need to get done or the context of your conversation. Edit pages directly with your team, or tag ChatGPT, Codex, or your dot to help with action items and keep pages updated from your connected sources. Rolling out today to Pro, Business, and Enterprise plans. Create and edit pages on web and desktop; view on mobile. Collaborative slides and other formats are coming soon.

Getting on-chain data shouldn’t be hard—or expensive—for agents. 🤖 xAPI × BlockPI: RPC access to 60 EVM networks, now on xAPI. 🔑 One key. 💸 $3 per million RPC calls. ⚡ Pay As You Go. No subscriptions. Build on-chain 👉

I dramatically underestimated the value of Grok Bot in my Tesla. Can you technically do everything you’re able to do with Grok Bot in the Tesla just by launching the app on your phone and going voice mode? Sure. But the magic isn’t in the raw capability itself, it’s in the combination of raw capability and total seamlessness. I often have fleeting thoughts while driving around. Some of these things aren’t significant enough to make me fumble around with my phone while supervising FSD, but when I literally don’t have to lift a finger and can just “Hey Grok” anything computer related into reality, I find myself taking advantage daily. And the little things add up. I’m on my way to work and remembered that I have a few documents on my home computer that I am going to need for work. So I just asked “Hey Grok, can you grab those 4 pdf files from my Mac downloads folder and move them into X folder on my one drive?” Now they’ll be where I need them to be when I get to my desk, and I won’t have to re-download them on my work machine. I have to work on a presentation today for a talk in a few weeks. “Hey grok, go into my sales enablement folder and have Claude Code build me a deck focused on X product for Y industry.” Claude already has my full job context, styling preferences etc and can build a nearly finished deck with a prompt. Now when I get to my desk, instead of building from scratch, I can review and prompt revisions before beginning to dig through my email backlog. Feels insane.

xAI 成立至今大约只有 3 年。 这期间，它已经建成： - Colossus 1 + Colossus 2，合计约 67 万块 GPU - Grok Imagine - Grok Voice - Grok Build - Grok Bot - Grok 4.7 Grok 的目标显然不只是短暂登顶榜单。 模型、Agent、应用和算力全部集中在同一体系内，而且速度还在加快。

Stablecoins are getting easier to hold. The harder question is still: what can you actually use them for? In most wallets, the loop stops at Hold → Send → Receive. Changer+ is building the next layer: global eSIMs, tickets, and everyday digital services — redeemed with supported stablecoins. Not just holding stablecoins. Using them.

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