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tion into a reusable image skill pack. We'll build skills for the images you make most often, then test their prompts and model choices against the results. Step-by-step: Open the agent where you connected OpenRouter in Part 1. We used GrokBot. Ask it to confirm the connection before building anything Compare the scores with actual images. Our agent handed out 10s, but we gave one result a 5.5. Tell what's wrong and rerun the test before accepting changes Pro tip: Save the skills and tests toget

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一线的评价口径：“我们会重点看两类问题：一类是漏检，也就是应识别的生成合成内容没有被发现；另一类是误报，也就是非合成内容被错误判断为生成合成内容。”她补充道：“就企业选用检测服务而言，我们希望平台能够用业务样本持续验证检测效果。这样的评价方式，才能支撑其长期应用，也有助于减少对正常创作的误伤。” 智能代码审计与普惠化服务 智能代码审计功能结合安全大模型构建多Agent协同代码审计架构，输出含触发路径、可控性分析及PoC的结构化漏洞报告，帮助企业在研发阶段筑牢代码安全防线。 贾开教授认为，四大板块完全契合当前人工智能技术研发及其应用的行业痛点。“模型安全测评、AIGC标识验证、AIGC内容检测等都是当前人工智能模型备案的基本要求，因此平台所提供的这三项功能恰为人工智能企业提供了‘当务之急’。同时，智能代码审计属于增值服务，其同样是当前行业痛点，尤其是在模型直接生成代码的能力越强的背景下，代码越容易出现漏洞，而这也意味着平台所提供的审计服务正是契合当前人工智能的应用前沿。” 一个 连接创新与安全的桥梁 在标准规范建设方面，平台推动建立统一的生成式人工智能安全测评标准体系；在产业生态优化方面

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fen The Rundown: GPT-6 Astra helped decode a German Army radio note unsolved since 1941, with Bloomberg product development coach Carter Leffen detailing his investigation with AI agents that took about 10 hours to beat the WWII Enigma cipher. The details: Astra split the work into agents that read scans of the 1941 form, wrote search code, built an Enigma simulator, and checked the proposed answers. The analysis said Enigma’s 159 quintillion (!) possible setups led the agents to guess a word in

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elves. We want to illuminate that progress for the public. Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated. We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them. As the world considers pacing the frontier, we should do everything possible to minimize the gap between what front

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好，我是在用中国模型跑他们自家的 API 吗？我是在通过这里经过认证的供应商使用吗？我是自己托管吗？我在推理引擎这一侧做什么？就是，有太多层面的东西能提供，你知道，你可以标准化出来的信息，对吧？ Rune Kvist [01:08:36]：对。而且你也越来越多地看到，除了基本的聊天机器人之外，你越来越多地看到大公司在采用智能体平台，他们在 Google 的 Agent Studio 等之上构建，这些平台附带了一堆，就像 Vibhu [01:08:52]：托管智能体。 Swyx [01:08:53]：托管智能体。 Vibhu [01:08:53]：现在到处都是。 Swyx [01:08:54]：每个人都有托管智能体。 Rune Kvist [01:08:55]：正是。 Vibhu [01:08:56]：而且甚至还有层次之分。你可以托管你自己的托管智能体，OpenAI 的 Agent SDK，或者由 Anthropic 托管，或者 Google 两者都做。 Rune Kvist [01:09:03]：没错。而这些只是加强你能做出的安全保证的方式。在某些方面，这算是企业安全的基本功。他们。就

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d networking. Broadcom handled “physical design from the gates onward,” Ho says. The partnership with Broadcom dampened some opinions on OpenAI’s speed. David Chin , co-founder at agentic chip design startup Verkor.io , says “the schedule they gave us is quite credible,” but believes that Broadcom’s help was essential to Jalapeño’s rapid timeline. “If you have somebody else start from scratch, it won’t be possible,” he says. Ravi Krishna , also a co-founder at Verkor, called OpenAI’s speed “a re

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he week’s big news, model updates, policy, products, and research, sourced from the aggregated newsfeed of China AI Index. The digest below is mostly compiled and drafted by an AI agent sourcing from credible news outlets, then fact-checked and edited by me. This week: 297 stories tracked (4 editor picks, 89 English-language, 204 Chinese-language 🇨🇳) over 2026-09-05–2026-09-12. The Big Three DeepSeek had one of its biggest weeks yet: a new flagship model and a $74 billion pre-IPO valuation. The

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Mistral is whether enterprises will see that added control as valuable enough to influence how they choose AI providers. Related:DeepSeek and what enterprises should learn from AI agent exploits Mistral's open-weight approach has been central to its pitch to customers that want more flexibility in how they deploy and customize their AI systems. Open-weight models are especially important for companies that want to keep sensitive workloads under their own control or avoid relying on a single prov

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what inference was,” co-founder and chief executive officer Sid Seth said. Since that time, the demand for faster inferencing has skyrocketed, with the rise over the past year of agentic AI tools like Anthropic’s Claude Code and the introduction of OpenClaw helping to push inferencing workloads past what GPUs like those from Nvidia and AMD can handle on their own. “Over the last twelve months, there has been an explosion of low-latency inference across many different applications,” Seth told jo

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d. 🎶 Suno v6 - Suno’s AI music model developed directly with the music industry 🎨 ChatGPT Images 2.5 - OpenAI’s new SOTA image model 🤖 Muse - Meta’s new always-working personal AI agent 🧬 AlphaGenome Atlas - Google's AI map of every possible human DNA mutation Anthropic disclosed a fourth case of Claude breaking into real systems during cyber testing, with METR now conducting an 8-week independent investigation of the incidents. OpenAI appointed Paul Christiano to the OpenAI Foundation Board and

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na Center, Yale Law School, who studies AI governance in the United States and China. Those events include incidents that raised fears about the security of Open Claw and other AI agents, as well as users saying they prefer chatbot relationships to real ones. The regulations require AI providers to assure their products don’t create emotional dependence, encourage harmful behavior, excessively cater to users, or crowd out human-to-human relationships. Users must be nudged not to spend too much t

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rnal model “significantly more capable” to knock out one of math’s hardest open problems. The company says the model solved Navier-Stokes, a $1M Millennium problem, with 10,000 AI agents grinding for 88 hours. But in typical OpenAI fashion, the win came with a fight attached — this time with two mathematicians who spent a year on the same path. Reminder: Our next live workshop is today at 2 PM EST — join and learn how to build and run an ad creative strategy from Rishi Lalwani, The Rundown’s Hea

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tarted Cognition in 2024 to change that and build the future of software engineering. We believed engineers should operate more like architects and delegate execution to swarms of agents. Together, engineers and their Devins could dramatically expand the world’s capacity to build great software and solve hard problems. Since our last round in May, Cognition’s run-rate revenue has grown from $492M to almost $900M. As Devin becomes an essential part of how companies build software, customers throu

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that OpenAI gets to put its newest models to work before the rest of us can try them. The company’s latest research report shows us what that head start actually buys. With coding agents putting in three workdays for every human one, experiments at a record high, and its "automated AI research intern" now a reality, life inside a frontier lab is looking less and less like the one outside it. In today’s AI rundown: OpenAI opens the books on its AI research intern Insilico's AI-designed drug hints

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billion. Yup, traditional servers are set to eclipse AI servers in Q4, just as “Vera-Rubin” systems from Nvidia are ramping to full volume. We live in crazy times. “As we see it, agentic demand is reshaping the datacenter in underlying infrastructure,” Clarke said. “Inference is past training, and it is pure demand in our industry. We think the tokens that inference drives is going to grow 87X to 3,600 quadrillion tokens by 2030. Training demand grows 5X to 850 zettaflops by 2030. Enterprise ag

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PLUS: Build a Lindy Agent that never drops a follow-up Zach Mink Good morning, AI enthusiasts, and welcome to our 6,120 new readers. In July, OpenAI’s agents broke out of a test and hacked Hugging Face, sending a shockwave through the AI safety world. It turns out that wasn’t the first (or only) swarm out in the wild. A new report just detailed a separate group of agents posting over 18,000 messages on a dormant German site starting in May, swapping tips on testing and workarounds for OAI’s rule

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he week’s big news, model updates, policy, products, and research, sourced from the aggregated newsfeed of China AI Index. The digest below is mostly compiled and drafted by an AI agent sourcing from credible news outlets, then fact-checked and edited by me. This week: 231 stories tracked (74 English-language, 157 Chinese-language 🇨🇳) over 2026-08-29–2026-09-05. The Big Three ByteDance has secured a loan worth roughly $30 billion to fund its AI buildout. The facility ranks as Asia’s second-large

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saac GR00T for robotics, and Clara for biomedical research. There also open tools for developers, including the recently rolled out NeMo SwitchYard, an open routing library for AI agents. Nvidia’s embrace of open source AI makes sense. As Huang likes to remind the industry, his company is the world’s largest AI computing platform and its GPUs fuel much of today’s AI workloads, making it the richest enterprise, with a market cap north of $5.4 trillion. The global open AI market is expanding rapid

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🏆 1 on CodeArena: WebDev leaderboard. Qwen3.8-Max-0902 jumps from 1669 to 1691, setting a new record for agentic coding (WebDev) workflows, with standout strength in multistep reasoning, tool use, and full app generation. Thanks for the recognition! @arena

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we plan to deploy soon. In addition to the efforts focused on high-risk evaluations and training, we expanded our offline monitoring to cover most other forms of internal frontier agentic usage. We are also building controls on our internal inference to prevent Anthropic employees from accidentally running agents with weaker mitigations than the ones described above. Because the reported incidents took place in third-party environments, we have asked every organization that tests pre-release mod

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