Search “Agents”

API value of the old plans is about 1.94 times that of the new plans. K3.1 Pro's per-million-Token input and output prices dropped from K3's 20 yuan and 100 yuan to 13 yuan and 68 yuan, while complex Agent tasks can consume millions of Tokens. A CAICT report shows that in June 2026, domestic daily average Tokens were about 500 trillion, nearly four times the figure in December 2025; the author believes that the compute shortage will still constrain independent model companies over the long term.

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elieves that once AI models for cyber defense proliferate, the application layer will be able to quickly equip defenders with tools to protect their environments, and that various agent swarms will emerge to scan, detect, protect against and handle the risks enterprises face. He points out that every layer of the security stack—identity, firewalls, network, code scanning, data protection and more—is a huge opportunity, and the only thing lacking is investment in compute; in the future, these age

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orm Xiaoyunque into its intelligent creation platform Jimeng. Xiaoyunque will retain its independent entry point, while operations will be overseen by Chen Xinran, the operations and marketing lead of Jimeng; the product team remains unchanged. Xiaoyunque launched its short drama Agent in March this year, supporting uploads of scripts up to 100,000 characters and one-click generation of finished videos, powered by ByteDance's self-developed Seedance 2.0 model; Jimeng AI was launched in May 2024.

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yment and Guanchao have jointly launched the annual "PAYATHON 2026" hackathon, featuring five major tracks including Apps, Skills, Vibe Pay, Skill Pay, Token Pay, Machine Pay, and Agent Pay, with a total prize pool of ¥200,000. Registration closes on December 1, and the offline finals will be held on December 26. The competition lists commercialization performance and real user payments as key judging criteria, and developers may enter with an app, Skill, or Agent. The blogger Farm Team, using t

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about 40 years elapsed—a technological revolution is not the same as a productivity revolution. A 2026 NBER study of more than 500,000 GitHub developers shows that autonomous coding agents increased cumulative code-commit activity by about 240%, but the number of projects rose by only about 80% and actual software releases by only about 30%. The rise of financial AI agents, meanwhile, makes accountability boundaries and risk contagion under multi-agent collaboration a real governance challenge.

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t, integrating the four teams Harness, Web, App, and Platform, headed by Cui Tianyi, who comes from a quantitative trading background, to coordinate product, design, and R&D. Previously, Guo Daya, a core contributor to R1, left in March 2026 to join ByteDance Seed due to optimism about the Agent direction not being a high priority within DeepSeek. DeepSeek Harness was open-sourced under the MIT license on August 13, and as of mid-October the repository had accumulated about 250,000 GitHub Stars.

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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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