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Friday

  1. Shao Meng

    Matt Palmer demonstrates using Cursor Cloud Agent to generate a UI motion video against real Slack

    Matt Palmer demonstrated opening Chrome and real Slack on the Linux remote desktop of a Cursor Cloud Agent, having the Agent generate a Slack UI motion video with code, and then iterating and revising after checking easing and motion patterns against the real interface. He broke the process down into an inner loop (the Agent does the work, checks against the real thing, and fixes) and an outer loop (a human provides references, preferences, and permissions and accepts the output), and proposed the Do→Codify→Generalize ladder, packaging one success into a Skill and then generalizing it. He emphasized that Slack was not decompiled; he merely gave the Agent a reference and asked it to extract visual patterns by comparison.

    Matt Palmer demonstrated opening Chrome and real Slack on the Linux remote desktop of a Cursor Cloud Agent, having the Agent generate a Slack UI motion video with code, and then iterating and revising after checking easing and motion patterns against the real interface. He broke the process down into an inner loop (the Agent does the work, checks against the real thing, and fixes) and an outer loop (a human provides references, preferences, and permissions and accepts the output), and proposed t

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  2. Testing Catalog

    Snaptrude launches Snaptrude Agent, which can turn design briefs into construction-grade 3D models

    Snaptrude has launched Snaptrude Agent, which can turn design briefs into construction-grade 3D models, covering structure, MEP (plumbing, electrical, and HVAC) and drawings. The agent first presents a plan, then models and draws; everything it adds remains editable, and architects can take over at any time. According to its founder, during the early access phase more than 2,000 designers have run over 25,000 tasks through the agent, and the team has also released AECBench, a benchmark for AEC, along with its first results.

    Snaptrude has launched Snaptrude Agent, which can turn design briefs into construction-grade 3D models, covering structure, MEP (plumbing, electrical, and HVAC) and drawings. The agent first presents a plan, then models and draws; everything it adds remains editable, and architects can take over at any time. According to its founder, during the early access phase more than 2,000 designers have run over 25,000 tasks through the agent, and the team has also released AECBench, a benchmark for AEC,

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  3. Arena

    Arena Analysis: Agent Arena Cost per Task: GPT-6.1 Sol at $1.91

    Arena's statistics on Agent Arena show that OpenAI's GPT-6.1 Sol (Max) costs $1.91 per task, 85% less than Claude Opus 5.5 (Max) at $12.51 and 87% less than GPT-6 Astra (Max) at $14.93. Arena notes that the sources of these two cost advantages differ: relative to Astra, Sol's advantage comes mainly from a lower token unit price; relative to Opus, it comes mainly from consuming fewer tokens per task. Cost per task is calculated by multiplying the number of input, output, and cache-read tokens by their respective unit prices, and Arena pinpoints the causes of cost reductions by comparing prices and token usage.

    Arena's statistics on Agent Arena show that OpenAI's GPT-6.1 Sol (Max) costs $1.91 per task, 85% less than Claude Opus 5.5 (Max) at $12.51 and 87% less than GPT-6 Astra (Max) at $14.93. Arena notes that the sources of these two cost advantages differ: relative to Astra, Sol's advantage comes mainly from a lower token unit price; relative to Opus, it comes mainly from consuming fewer tokens per task. Cost per task is calculated by multiplying the number of input, output, and cache-read tokens by

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  4. Alibaba Cloud Developer Community AI

    How Hermes Writes Agent Learning into Files: A Three-Layer Design of Memory, Skills, and Knowledge Base

    The Hermes Agent open-sourced by Nous Research externalizes learning into files, using MEMORY.md and USER.md to store memory, SKILL.md to store reusable skills, and a wiki to store domain knowledge, while the underlying model weights remain unchanged. The article breaks down its closed-loop learning mechanism, including post-task background review that automatically creates and improves skills. The built-in llm-wiki skill 2.1.0 maintains the knowledge base with a three-layer structure of raw/, wiki, and SCHEMA.md, along with disciplines such as page-creation thresholds, bidirectional links, source-text hashing, and contradiction registration, and comes with an inspection mechanism.

    The Hermes Agent open-sourced by Nous Research externalizes learning into files, using MEMORY.md and USER.md to store memory, SKILL.md to store reusable skills, and a wiki to store domain knowledge, while the underlying model weights remain unchanged. The article breaks down its closed-loop learning mechanism, including post-task background review that automatically creates and improves skills. The built-in llm-wiki skill 2.1.0 maintains the knowledge base with a three-layer structure of raw/, w

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  5. Jiwei.com

    The 2027 Semiconductor Investment Annual Conference and IC Fengyun Awards Ceremony will land in Chengdu in December, with the theme focusing on chip upgrades in the Agent era

    The 2027 (8th) Semiconductor Investment Annual Conference and IC Fengyun Awards Ceremony will be held in Chengdu on December 19, 2026, under the theme "Chips Carrying Computing Power · A New Agent Era — The Path of Chip Upgrades in the Intelligent Agent Era." This year's IC Fengyun Awards feature more than 70 awards, covering tracks such as investment institutions, listed companies, AI, embodied intelligence, and automotive electronics. The conference is hosted by the Semiconductor Investment Alliance and Chengdu High-tech Investment Group, and will release multiple industry reports and track white papers.

    th) Semiconductor Investment Annual Conference and IC Fengyun Awards Ceremony will be held in Chengdu on December 19, 2026, under the theme "Chips Carrying Computing Power · A New Agent Era — The Path of Chip Upgrades in the Intelligent Agent Era." This year's IC Fengyun Awards feature more than 70 awards, covering tracks such as investment institutions, listed companies, AI, embodied intelligence, and automotive electronics. The conference is hosted by the Semiconductor Investment Alliance and

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  6. The Elec

    Akamai Launches AI Inference and Agent Sandbox Services, Expanding Its Cloud Services Footprint

    On October 29, Akamai released beta versions of two products, Akamai Inference and Akamai Agent Sandbox, allowing users to run AI models on Akamai Cloud and securely execute code generated by AI agents. Akamai Inference supports 12 open-weight models, including OpenAI's gpt-oss-120b, Google's Gemma 4, and Nvidia's Nemotron 3 Ultra, and provides an OpenAI-compatible API. Agent Sandbox is based on WebAssembly isolation technology and restricts code access to computing resources, network connections, and system functions.

    On October 29, Akamai released beta versions of two products, Akamai Inference and Akamai Agent Sandbox, allowing users to run AI models on Akamai Cloud and securely execute code generated by AI agents. Akamai Inference supports 12 open-weight models, including OpenAI's gpt-oss-120b, Google's Gemma 4, and Nvidia's Nemotron 3 Ultra, and provides an OpenAI-compatible API. Agent Sandbox is based on WebAssembly isolation technology and restricts code access to computing resources, network connection

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  7. The New Stack

    Microsoft Opens Copilot Agent Harness Public Preview via Foundry

    Microsoft has opened the GitHub Copilot agent harness public preview through the Foundry Agent Service in Microsoft Foundry, offering built-in sandboxes, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not supported. The service is free until December 1, 2026, after which it is billed at $0.0994 per vCPU hour and $0.0118 per GiB hour, with model inference and some tools billed separately.

    Microsoft has opened the GitHub Copilot agent harness public preview through the Foundry Agent Service in Microsoft Foundry, offering built-in sandboxes, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not suppor

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Thursday

  1. Tripo

    Tripo Studio Launches Agentic Canvas Beta

    Tripo announced that Agentic Canvas in Tripo Studio has entered the beta phase, available to all MAX and Team users, and will gradually roll out to other users. This feature lets users describe their requirements in natural language, with an agent planning and executing the workflow to directly produce 3D assets, supporting batch processing and reusable pipelines, and enabling asset inspection, refinement, rigging, and editing through AI 3D Lab.

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  2. ArenaSelected

    Gemini 4 Carbon ranks 2nd on Agent Arena with a net improvement of 16.2%

    Arena.ai says Gemini 4 Carbon ranks 2nd in the real-task-based Agent Arena with a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in steerability. Arena says Carbon's availability will be announced by Google DeepMind.

    Arena.ai says Gemini 4 Carbon ranks 2nd in the real-task-based Agent Arena with a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in stee

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  3. ArenaSelected

    GPT-6.1 Terra ranks 8th in Agent Arena, with a median cost of $0.62 per task

    Arena's empirical results, based on nearly 9,000 agent sessions, show that OpenAI's GPT-6.1 Terra (Max) ranks 8th in Agent Arena, with a net improvement of +10.6% and a median cost of $0.62 per task. This cost is 43% lower than the $1.09 of 7th-place Gemini 4 Argon (High), 30% lower than the $0.89 of 6th-place GPT-6.1 Sol (Max), and 88% lower than the $5.16 of 5th-place GPT-6 Astra (Max). In the subcategories, it ranks 3rd in Bash Reliability (+13.2%), 7th in Steerability (+13.3%), and 9th in Praise vs Complaint (+16.8%).

    Arena's empirical results, based on nearly 9,000 agent sessions, show that OpenAI's GPT-6.1 Terra (Max) ranks 8th in Agent Arena, with a net improvement of +10.6% and a median cost of $0.62 per task. This cost is 43% lower than the $1.09 of 7th-place Gemini 4 Argon (High), 30% lower than the $0.89 of 6th-place GPT-6.1 Sol (Max), and 88% lower than the $5.16 of 5th-place GPT-6 Astra (Max). In the subcategories, it ranks 3rd in Bash Reliability (+13.2%), 7th in Steerability (+13.3%), and 9th in Pr

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  4. ZhidongxiSelected

    Google Releases Gemini 4 Carbon Model, Focused on Long-Horizon Agentic Workflows

    Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available for cached input tokens. Carbon adopts a phased rollout strategy, first opening to select cybersecurity defenders, then expanding the range of trusted partners through the Fairwind program, and afterward opening to developers, enterprises, and consumers.

    Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available

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  5. Zhidongxi

    Tencent Cloud WorkBuddy Upgrades Four Enterprise-Grade Capabilities; Executives Respond to Agent Security and Cost

    At the 2026 Tencent Global Digital Ecosystem Summit, Tencent Cloud announced upgrades to four core capabilities of its WorkBuddy enterprise-grade service, including open platform capabilities, enterprise-grade security solutions, an observability center, and WorkBuddy Managed Agent (WMA), with the underlying Agent Runtime upgraded as well. After the upgrade, WorkBuddy can connect to WeCom, Tencent Docs, and systems such as ERP and CRM through MCP and connectors; in addition to Hunyuan, it also supports third-party open-source models and enterprise self-deployed models. Wang Huixing revealed that since its launch in March this year, WorkBuddy has cumulatively completed 9 billion user task requests, with Token consumption growing 50-fold compared with the initial launch; Liu Yi said that in 2027 the focus will be on strengthening Agent proactivity.

    e capabilities of its WorkBuddy enterprise-grade service, including open platform capabilities, enterprise-grade security solutions, an observability center, and WorkBuddy Managed Agent (WMA), with the underlying Agent Runtime upgraded as well. After the upgrade, WorkBuddy can connect to WeCom, Tencent Docs, and systems such as ERP and CRM through MCP and connectors; in addition to Hunyuan, it also supports third-party open-source models and enterprise self-deployed models. Wang Huixing revealed

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  6. Unite.AI

    ConnectWise launches RMM Agent: investigates IT tickets before proposing fixes

    ConnectWise has released RMM Agent, which can inspect associated devices within service tickets, test likely causes, and stage remediation plans from a vetted catalog, with all device changes requiring explicit technician approval. The simultaneously launched Voice, Teams, and Email Agents are used to gather customer information before technical work begins, and all four products are now generally available. Partner RealBytes reports that across more than 500 live tickets, 91% received useful diagnoses, typically taking about one minute, with first response time cut from one hour to five minutes.

    ConnectWise has released RMM Agent, which can inspect associated devices within service tickets, test likely causes, and stage remediation plans from a vetted catalog, with all device changes requiring explicit technician approval. The simultaneously launched Voice, Teams, and Email Agents are used to gather customer information before technical work begins, and all four products are now generally available. Partner RealBytes reports that across more than 500 live tickets, 91% received useful di

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  7. Semiconductor Industry Observer

    Siemens Fuse EDA AI Agent: Using Physical Verification to Backstop Agentic EDA

    Siemens has launched an intelligent engineering workflow in which the Fuse EDA AI Agent serves as an MCP aggregation layer connecting to Claude Code, autonomously orchestrating 3D-IC electrothermal co-design, linking seven Siemens EDA tools across nine stages, requiring 100–200 iterations and a total duration exceeding 12 hours. Every decision in this workflow is verified by a deterministic, physics-based EDA solver engine; a single round can cover more than 200 to 500 design points, tool configuration efficiency is improved by up to 20x, manual workload is reduced by as much as 95%, and the number of evaluable design options reaches up to 50x that of traditional manual workflows.

    Siemens has launched an intelligent engineering workflow in which the Fuse EDA AI Agent serves as an MCP aggregation layer connecting to Claude Code, autonomously orchestrating 3D-IC electrothermal co-design, linking seven Siemens EDA tools across nine stages, requiring 100–200 iterations and a total duration exceeding 12 hours. Every decision in this workflow is verified by a deterministic, physics-based EDA solver engine; a single round can cover more than 200 to 500 design points, tool config

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  8. Replit Blog

    Replit Details Agent Habitat Security Architecture: How to Let Agents Work Within Controllable Boundaries

    Replit has launched Agent Habitat, allowing agents to access enterprise knowledge and systems within boundaries the company can control, building security governance around four principles: least privilege, fault isolation, auditable production changes, and traceable delegated work. Its credential broker retrieves credentials from the vault and injects them only after each request is authorized, so credentials never enter the agent's context; enterprise connector management supports SAML SSO, SCIM, and role-based permissions. Replit said the kernel vulnerability disclosed last week did not affect its existing isolation environment, and it has concentrated on patching tools and deploying firewall protection.

    Replit’s Architecture Behind Secure Agent Work — cover image

    Replit has launched Agent Habitat, allowing agents to access enterprise knowledge and systems within boundaries the company can control, building security governance around four principles: least privilege, fault isolation, auditable production changes, and traceable delegated work. Its credential broker retrieves credentials from the vault and injects them only after each request is authorized, so credentials never enter the agent's context; enterprise connector management supports SAML SSO, SC

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  9. Sina Tech

    Jinri Yixiu Releases Self-Developed Physiological Signal Large Model and ISHO Personal Agent

    On October 29, Jinri Yixiu officially released its self-developed physiological signal large model and the ISHO Personal Agent. The latter features 255 data observation items and supports opening MCP to mainstream AI tools. Its energy index model evaluates users' physiological state from three dimensions: sleep performance, nighttime recovery, and previous day's exercise load. Wang Teng stated that the company plans to collect more than 1,000 cases of gold-standard clinical PSG data within one year, with the goal of building a globally leading AI sleep technology ecosystem within 5-10 years.

    On October 29, Jinri Yixiu officially released its self-developed physiological signal large model and the ISHO Personal Agent. The latter features 255 data observation items and supports opening MCP to mainstream AI tools. Its energy index model evaluates users' physiological state from three dimensions: sleep performance, nighttime recovery, and previous day's exercise load. Wang Teng stated that the company plans to collect more than 1,000 cases of gold-standard clinical PSG data within one y

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  10. Cartesia Product and Research

    Cartesia Launches Managed Agents End-to-End Voice Agent Platform

    Cartesia has launched the Managed Agents end-to-end voice agent platform, targeting enterprise call scenarios. On Artificial Analysis's Speech Agent Arena, it ranks first among 30 agents with a preference Elo of 1115. On ServiceNow's EVA-Bench, the platform achieved an accuracy of 87.4% and an experience score of 90.7%, both the highest. The platform co-designs the voice model with the harness, offering capabilities such as 44 languages, tool calling, knowledge bases, and outbound calling batches. The company says it has already supported tens of millions of conversations in finance, retail, hospitality, and healthcare scenarios.

    Cartesia has launched the Managed Agents end-to-end voice agent platform, targeting enterprise call scenarios. On Artificial Analysis's Speech Agent Arena, it ranks first among 30 agents with a preference Elo of 1115. On ServiceNow's EVA-Bench, the platform achieved an accuracy of 87.4% and an experience score of 90.7%, both the highest. The platform co-designs the voice model with the harness, offering capabilities such as 44 languages, tool calling, knowledge bases, and outbound calling batche

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Wednesday

  1. Analytics India Magazine

    Akamai Launches AI Inference and Agent Sandbox Services

    Akamai has released two services, Akamai Inference and Akamai Agent Sandbox: the former provides 12 open-weight models via an OpenAI-compatible API, with parameter counts ranging from 8B to 2.8T, including NVIDIA Nemotron 3 Ultra, OpenAI gpt-oss-120b, and Google Gemma 4; the latter runs code generated by AI agents in isolation based on WebAssembly, and is released as an open-source component of the Spin framework. Akamai has also expanded its NVIDIA Blackwell Ultra GPU clusters, with each eight-GPU node equipped with 2.3 TB of HBM3e memory.

    Akamai has released two services, Akamai Inference and Akamai Agent Sandbox: the former provides 12 open-weight models via an OpenAI-compatible API, with parameter counts ranging from 8B to 2.8T, including NVIDIA Nemotron 3 Ultra, OpenAI gpt-oss-120b, and Google Gemma 4; the latter runs code generated by AI agents in isolation based on WebAssembly, and is released as an open-source component of the Spin framework. Akamai has also expanded its NVIDIA Blackwell Ultra GPU clusters, with each eight-

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