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Q3 2026 report shows that Baidu Dazi reached a combined 9.77 million MAU and 83.81 million total multi-device usage sessions, up 5,810% from June, ranking second on the AI office Agent list, behind only Tencent WorkBuddy's 32.353 million. The author traces its three-stage leap over half a year: in March it entered as a desktop agent, in August it launched 96 professional skills and 15 industry suites, and in September it launched an enterprise edition and integrated with Xiaodu hardware. The ar

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Tairex has released a multi-agent collaborative ecosystem that enables real-time cross-specialty collaboration and multidisciplinary consultations through multiple doctor avatar agents with different specialty backgrounds. It has currently built 54 AI doctors and millions of hyper-realistic AI patients, covering more than 20 clinical departments and over ten thousand diseases, and the AI doctors' test accuracy on the MedQA dataset exceeds 96%. As of July 2026, 18 clinical departments at Beijing

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ed for enterprise flagship edition and individual subscription users only. Kimi K3.1 Pro is the first model in the K3.1 series, featuring 3-trillion-level parameters and support for 1 million context, with notable improvements in coding, 3D creation, financial research, and long-horizon Agent capabilities. It scored 65.7% on Terminal-Bench 4.0, surpassing GPT-6 Astra's 58.2% and approaching Claude Opus 5.5's 66.4%; it scored 64.4 and 36.3 on OfficeQA Pro v2 and SpreadsheetBench v2, respectively.

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ost capable 3-trillion-level parameter model to date, supporting a 1-million context window, with notable improvements in coding, 3D creation, financial research, and long-horizon Agent capabilities. Kimi K3.1 Pro is a post-trained version of Kimi K3; through enhanced post-training compute and technical optimization, it achieves comprehensive improvements across all domains from large-scale RL. This is the first time Kimi has introduced a Pro model in its model versions, and it is also the first

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opic Deputy CISO Jason D. Clinton says that within about 18 months, high cyber capability will spread to small, cheap models, but fixes still need to be applied to running systems. The article cites OpenAI's discovery of Brotli's CVE-2026-111497 during testing in an isolated environment, and introduces remediation and credential control solutions such as AWS Continuum, Google Agent Compute Engine, and 1Password for Agents, as well as Microsoft's report on Storm-0940 using AI to automate attacks.

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Meta launched its personal AI Agent Muse last month. It has an independent virtual computer and browser and can send emails, book travel, and shop on behalf of users. It reached about 2.8 million downloads within two weeks of launch, and at the October 21 earnings call it was announced that more than 10 million people had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whethe

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ost-trained version of Kimi K3, with a substantial increase in post-training compute, and it shows notable improvements in coding, 3D creation, financial research and long-horizon Agent capabilities; across multiple international benchmarks, its overall intelligence level is now approaching that of the world's leading closed-source models. The report also noted that OpenRouter statistics show global total AI large-model API calls from October 12 to 18 reached 164 trillion tokens, and that the we

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The open source project dashi-ppt-skill is released as an Agent skill package, generating HTML presentations with a built-in editing console, and can export editable PPTX with node-by-node restoration when needed. It includes 12 visual themes and 1020 layout pages, follows the template orchestration approach, and by default only replaces text without modifying the layout; the official claims it provides 8576 adjustable controls. The project uses the AGPL-3.0 license and can be installed via npx

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Artificial Analysis published preliminary test results on AA-AgentPerf for Meta's new open-weight model Muse Spark Open, an 816B-parameter, 42B-active MoE that scores 39 on the Artificial Analysis Intelligence Index. Tests show NVIDIA B300 and GB300 each reach about 150M tokens/s per megawatt under throughput-first configurations, with GB300 at about 108M and B300 at about 92M at 100 tok/s output speed; AMD MI355X reaches 70M tokens/s per megawatt at 65 tok/s. 46 of the model's 62 layers use 2,0

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AWS has published a practical guide for multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI. Using Wordle as an example, it deploys the agent and reward function to Amazon Bedrock AgentCore, and the training job updates LoRA adapters via GRPO. In the example, gpt-oss-20b at default reasoning effort improved its solve rate on held-out words from 61% to 84%, at a training token cost of about $339 and an AgentCore runtime cost of about $79. The article also details failures such as two

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ild code-backed prototypes on the canvas. The article lists how six teams—Superside, Dell, Cox Automotive, Rocket Money, Merkle, and Checkout.com—use it, including using the Figma agent to turn static designs into code layers, comparing multiple versions side by side, and iterating in stages with precise values and reference screenshots. Merkle says iteration and feature development speed increased by 30%, and documentation creation time was reduced by up to 50%; a product manager at Cox Automot

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Italy's largest real estate platform Immobiliare.it, based on ElevenAgents, scaled from a single conversational agent to an interconnected agent network, increasing lead qualification conversion rate by 3.3x, raising the likelihood of users leaving a phone number for follow-up by 74%, and about 80% of users rated the feature positively. The first agent was deployed on listing pages, responding 24/7 in the local language and summarizing each interaction; subsequently it expanded to agents for pri

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At the 26th China International Industry Fair, JAKA Robotics globally debuted the Agent-driven JAKA Zu50 heavy-payload collaborative robot and the JAKA Kargo50 heavy-duty wheeled humanoid robot, which can autonomously transport material boxes of varying sizes and appearances. The site also demonstrated the JAKA K series dual-arm humanoid robot collecting process data and feeding it back to the JAKA EVO base to iterate skill models in a data flywheel. According to MIR Databank data, in 2024 JAKA'

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TinyFish released two technical guides: one defines a production-grade agent search architecture, and the other summarizes lessons from building a deep research system. The architecture is built on four web primitives—TinySearch, TinyFetch, TinyBrowser, and TinyAgent—and runs a seven-stage control loop around a foundation model, covering task definition, retrieval planning, tool routing, evidence evaluation, and failure retry. In OpenBenchmarks tests with a fixed gpt-5.6-sol model and 100 tasks,

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ontrol non-compliant crawlers, content that has already leaked, or acquisition methods that do not go through crawlers. Following RFC 9309, the article explains rules such as User-agent, Allow, Disallow, and the 500 KiB read limit, and provides robots.txt syntax for blocking GPTBot, CCBot, ClaudeBot, and Bytespider by UA, as well as methods for using nginx to apply differentiated rate limiting by UA, using logs to count request volumes per crawler, and using curl to verify whether rate limiting

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design Skill to the 301K ⭐️ Skills repository; it is a glossary that requires users to invoke it explicitly (disable-model-invocation: true), used for designing remote, stateless agent software factories. Core terms include Task, Trigger, Run, Runner, and service slots such as Ticket tracker, Git host, and Orchestrator, along with four slot research documents and an example task chain. The design approach emphasizes Start slow: every trigger is an accelerator, and must be paired with three brak

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