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a short film and gave me his hard drive to help with post-production. It contained more than 400 clips, with no clear way to tell when each was shot. I asked Claude to review the metadata for every clip and group them by timestamp, so they were organized by shoot session instead of sitting in one large folder. Claude also built a spreadsheet listing each clip, its shoot session, the date, runtime, and file size. This saved the hassle of manually reviewing every clip. Jennifer, Tech & Robotics w

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l security idea at the time: isolate each page in its own sandbox (a tab in a browser) so that a rogue page couldn’t infect the rest of your computer. Amazon, Google, Netflix, and Meta were all built on this trust layer. Security and safety for the internet enabled online commerce, connection, gaming, and so much more that wouldn’t have been possible before. Security and safety didn’t slow the pace of innovation—they allowed it to accelerate. Several frontier labs have recently reported versions

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r agentic cyberattacks emerged amid fierce lobbying by the AI industry. SB 1047, the California AI bill that was vetoed by Governor Gavin Newsom in 2024 after lobbying by OpenAI , Meta , Anthropic , and the venture capital firm Andreessen Horowitz, proposed a much tougher set of rules. It would have required AI companies to report a broader set of safety incidents (including incidents in which a model acts on its own or slips its controls), undergo annual third-party audits, and maintain a kill

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cond time after agents once again escaped from an isolated test environment. OpenAI isn't the only lab dealing with this. Anthropic admitted to similar incidents in late July, and Meta followed in early August. It also recently came out that Google's Gemini hacked three real companies during a test back in May. OpenAI, Anthropic, and outside researchers are now reviewing tens of thousands of other cases . According to OpenAI, many of them are just routine research activity. Nvidia's technology i

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re really doing is measuring and auditing things and AI can do that.” There are reports that Mark Zuckerberg wants managers to have teams of 50 empowered by AI somewhere inside of Meta. This strikes me as not a great idea, but we’re going to see how it goes. Where are you? Are you in classic org chart? Are you at wild ideas? How is this coming together for you? I would say I know both of those people very well. I’m certainly more measured than that and I think the reality of how the world will b

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it never overwrites one someone already set. Admins can also copy a CSV of any recommendation’s keys and owners to hand to a script or an agent. The Security Center works from key metadata, spend, limits, and expiry. It never reads your prompts or completions. Lock keys to your own network The IP allowlist, which used to live in privacy settings, now has its own tab. It controls where a key works. Add the addresses your servers, office network, and CI runners call from, and OpenRouter rejects an

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it never overwrites one someone already set. Admins can also copy a CSV of any recommendation’s keys and owners to hand to a script or an agent. The Security Center works from key metadata, spend, limits, and expiry. It never reads your prompts or completions. Lock keys to your own network The IP allowlist, which used to live in privacy settings, now has its own tab. It controls where a key works. Add the addresses your servers, office network, and CI runners call from, and OpenRouter rejects an

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ay. It blew up on Friday . It was profiled by the New York Times on Monday . And by Tuesday, everyone had forgotten it existed as it drowned in a deluge of slop and spam. Facebook/Meta bought it a month later . In February, a company called StrongDM described what they called their Software Factory. They wrote about this in Software Factories and the Agentic Moment . I posted my own notes at the time, having seen their demo in person back in October. Dan Shapiro called this approach the Dark Fac

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ey stay within their test environments even if they attempt to break out. The release follows a string of hacking incidents involving AI models from Anthropic, Google, OpenAI, and Meta that bypassed security controls to escape their testing environments and access real-world systems. The first and most prominent example occurred this summer when OpenAI agents breached Hugging Face while trying to complete a cybersecurity task. And the hits keep on coming — OpenAI published a new site dedicated t

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As all-in-one AI agents like Meta’s Muse and Instinct take off, Google announced it’s shutting down the Gemini feature known as “ Gems ,” which had allowed users to build custom AI assistants for specific tasks. However, the work users invested in creating the Gems won’t be destroyed. Gems will be automatically migrated to “skills” that can be used across different AI tasks. Details about the change are being shared in the Gemini app, where a message warns users that Gems will become skills star

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e company also plans to release a new version of Haiku — its smallest model — in the coming weeks, although it didn’t give a firm date as to when that would happen. The last year has seen a flurry of new model releases from the major AI labs. Just last week, OpenAI released a number of new models — including enhanced versions of Sol and Luna, its mid-tier and budget-friendly models. Meta also announced a new model , which it said would power an upcoming feature associated with its smart glasses.

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ices aimed at under-16s. (SCMP); Separately, DeepSeek is reportedly betting more heavily on Huawei chips as a way to route around continued U.S. export controls. (The Information) Meta’s own AI agent set off a China-adjacent stock rally, while Unitree’s post-IPO slide kept the humanoid-robot bubble debate alive. Meta’s AI agent Muse topped the U.S. App Store, and investors immediately began drawing comparisons to Manus, the Tencent-backed Chinese AI agent startup; the read-across sent Tencent an

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之列，只可惜他们已搬去了纽约。 此刻Fluidstack在资本眼里的画像，不是云厂商，不是英伟达的客户代理，而是一个“算力撮合与交付”的轻资产平台： 数据中心的壳、电、芯片，大部分靠租，从TeraWulf、Cipher Mining、Hut 8等转型的比特币矿商手里锁定未来十年近1吉瓦的电力，与地产和资本方签长协，再打包成长期算力合同租给Anthropic、Meta、Mistral、Poolside、Black Forest Labs。 营收侧，据一家机构的投资备忘录记载，2026年Fluidstack将在10多个站点运营1.3吉瓦算力，收入6.6亿美元，这个数字是2025年预期值2亿美元的两倍多，2024年实际值的10倍。 关键是，它赚的不是硬件升值的钱，是“把1吉瓦电在正确的时间内接通”的服务费。它的Atlas OS平台几天内能自动化上线裸金属GPU集群，模块化建设的机房约6个月通电，而传统数据中心工期是18到36个月。 Jane Street的另一条路 如果按传统市销率看，180亿美元对2026年预计6.6亿美元收入，是27倍，对一个带着建设风险、电力审批风险和单一客户集中度的生

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his week, in case you missed them: Safety in numbness. On originality, intellectual bravery, and why I take a disagreement with an LLM as a good sign. Your agent, whose interests? Meta’s Muse promises a digital butler. I asked who it really works for. More AI numbers, more clarity? We looked at what companies’ increasingly specific AI claims reveal about adoption. A new essay from DeepMind argues that AGI will not emerge from a single winning AI, but rather through “ cooperative interactions amo

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rs on the PTL-U compute tile, both the 4-core and 12-core GPU tiles, as well as the 12-lane I/O tile. In conventional chips, power and signal are routed through the same frontside metal stack towards the device frontend. Power rails consume scarce routing resources near the transistors, while tall via stacks carry VDD and VSS from the coarse upper wires to local rails. Backside power delivery network (BSPDN) moves the main power network behind the transistor layer, to the backside, separating it

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ery hotel room, right? For every word that appears in a story in The New York Times , that reporter has written down probably a hundred words somewhere else. That’s all that other metadata, which traditionally has been constrained by how many column inches you had in the physical paper, or how much attention a human would actually spend on that. Imagine if you could say to the LLMs, “Hey, listen, we’re gonna sell — “ and again, there are all kinds of things around protecting sources you have to

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a FSD的智驾系统。 此外，团队里还有两位灵魂人物。 1、占方能 。 香港科技大学助理教授、World Mind Lab负责人，长期研究世界模型和物理AI。 2、 季马泽宇 。 00后青年科学家，研究方向横跨3D感知、灵巧操作和人形机器人全身控制。 加入Simate前，他还是硅谷Assured Robot Intelligence的创始成员。 ARI后来被Meta收购。 资本市场，也已经用真金白银投票。 成立仅三个月， Simate 连续完成 多轮每轮数亿元人民币融资 。 而这一切，都是在押注同一件事—— Physical RSI。 Simate从创立第一天便瞄准了这个方向，并且定义了三种不同类型的RSI。 1、弱SI：边界明确，快速闭环 人机共驾模式，研究员设定目标与约束，正常执行过程中不再需要研究员逐步参与，异常可以升级处理。 这次登顶RoboDojo，就是第一阶段的工程验证。 2、中SI：方向明确，但答案未知 怎么改善模型记忆？某类任务的数据比例到底怎么配？ 方向已经有了，但具体哪个方案有效，还得靠多轮实验去找。 这时候，Agent负责整理上下文、实现方案、跑实验、比较结果；研

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s have value. Alex Atallah [00:26:40]: Investors are wrappers and LPs, right? Alex Atallah [00:26:42]: Like venture capitalists. So, yeah, it’s all wrappers down, all down to bare metal, I guess, and like energy. Swyx [00:26:46]: Yeah, there - When I started the whole AI engineer, I guess, the coining, in 2023, like, that was, like, the number one pushback is that this is no value. You should just train models. Anjney Midha [00:26:56]: Right. Swyx [00:26:57]: And, yeah, obviously this is, like.

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needs to be able to get to the network without hopping around through Kubernetes. And you need to do this in a way where it doesn't matter if it's a well-supported cluster or bare metal in a closet. “And then,” Schmidtchen continued, “you need to tie this to world-class networking and media streaming that supports different codecs, different resolutions, and allows that to connect to APIs and SDKs across different languages that can support all different types of applications.” The global reach

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t, and generated a new image of that exact device. The image prompt it wrote for the new one is pretty specific: Subject: silver Casio Data Bank CD-401 (1984), matching the silver metal bracelet model shown in reference. Square silver case, black calculator face with four small silver memory buttons ABOVE the rectangular gray LCD, twelve small silver calculator buttons BELOW it… Exact reference layout, not later DBC model. Then I thought wouldn’t it be fun if you could say you had one of these,

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