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Friday

  1. ElevenLabs Blog

    How Immobiliare.it scaled from a single conversational agent to an agent network

    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 private homeowner outreach, listing quality outbound calls, voice and chat customer service, and conversational search, orchestrated with sub-agent division of labor.

    Smiling young man with short brown hair and a trimmed beard, wearing a striped shirt.

    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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  2. ModelBest OpenBMB

    MiniCPM Spark S1 Challenge concludes, 16 projects win awards

    The ModelBest MiniCPM Spark Program S1 Challenge has wrapped up, with 16 projects from developers in China, Spain, Italy, Australia, and the United States winning awards. Three special awards went to Dubedo, ESP32-S3, and a personal Admin Agent evaluation project, each receiving a 1-year Typeless membership. The winning projects cover practical applications, deployment tools, and training research.

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  3. Intelligent Manufacturing Network

    JAKA Robotics debuts two new products, JAKA Zu50 and JAKA Kargo50, globally at the Shanghai Industrial Fair

    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's collaborative robots reached a 21.9% domestic market share, ranking first in China, and about 8.2% globally, with cumulative deployments of nearly 30,000 robots.

    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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  4. MarkTechPost

    TinyFish Breaks Down Production-Grade Agent Search Architecture and Deep Research Experience

    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, TinyFish search plus fetch achieved a 79.0% completion rate, with a median task cost of $0.050 and a runtime of 24 seconds; under a search-only configuration, the completion rate was 59.3%.

    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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  5. Testing CatalogSelected

    MiniMax publicly releases M3.1 Flash weights on Hugging Face

    MiniMax has publicly released the MiniMax M3.1 Flash weights on Hugging Face; the model has 428B total parameters and 23B activated per token. The company claims generational improvements in agent tasks, coding, and cybersecurity, with scores of 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. This model is the stealth model Space Bunny on OpenRouter, released on October 19, and is now available on the MiniMax platform and API.

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  6. Alibaba Cloud Developer Community AI

    What robots.txt can and cannot control for AI crawlers

    robots.txt is only a crawling permission declaration, not access control; it can only constrain which paths compliant crawlers may fetch, and cannot control 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 takes effect. The author emphasizes that robots.txt expresses intent, server-side rate limiting controls costs, logs reveal the facts, and licensing agreements address legal issues—each of the four handles a distinct part.

    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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  7. Shao Meng

    Matt Pocock adds a software-factory Skill to the 301K-star Skills repository

    Matt Pocock adds a "software-factory" 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 brakes—automated checks, automated review, and human review—plus a loop limit.

    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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  8. TMTPost · AGI

    Pichai Reviews Gemini 4 Argon: Why 3.5 Pro Was Cut

    Google CEO Pichai revealed in the "Sources" interview that Gemini 4 Argon processed about 25 trillion tokens in 72 hours of launch, 3 times that of Gemini 3.0 in the same period, and is still rate-limited due to compute constraints. He explained for the first time the reason for cutting Gemini 3.5 Pro: the team found a gap in the model on Agentic Coding, first used the Flash version to complete intensive iterations from 3.5 to 3.8 in about 3 months, while Argon pretraining had already been completed at that time, so they injected the accumulated gains into Argon post-training. He also mentioned that Google internally has entered the RSI stage of researchers and models collaborating, and said the next-generation Gemini 5.0 will be much stronger than Argon.

    the same period, and is still rate-limited due to compute constraints. He explained for the first time the reason for cutting Gemini 3.5 Pro: the team found a gap in the model on Agentic Coding, first used the Flash version to complete intensive iterations from 3.5 to 3.8 in about 3 months, while Argon pretraining had already been completed at that time, so they injected the accumulated gains into Argon post-training. He also mentioned that Google internally has entered the RSI stage of researc

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  9. heise online

    JFrog AI Security adds BYOK support and extends shadow AI scanning to developer computers

    JFrog's AI Security suite extends shadow AI detection from code repositories and builds to developer computers, deployed via Agent Plugin through MDM or Agent-Harness settings, scanning Skills, Plug-ins, and MCP-Server, returning only metadata and risk assessments. It also adds BYOK semantic AI Asset Scanning, with prompts and Skills sent directly to the customer's own model endpoints, initially supporting Claude Opus 4.8, GPT-5.6 Sol, and Gemini 3.1 Pro. Both features are now available to JFrog Unified Security and Ultimate Security customers.

    JFrog's AI Security suite extends shadow AI detection from code repositories and builds to developer computers, deployed via Agent Plugin through MDM or Agent-Harness settings, scanning Skills, Plug-ins, and MCP-Server, returning only metadata and risk assessments. It also adds BYOK semantic AI Asset Scanning, with prompts and Skills sent directly to the customer's own model endpoints, initially supporting Claude Opus 4.8, GPT-5.6 Sol, and Gemini 3.1 Pro. Both features are now available to JFrog

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  10. Fortune Tech

    Zuckerberg says Meta Muse has over 10 million users, shopping demand so high that Stripe had to raise credit limits

    Meta CEO Zuckerberg said on the October 21 earnings call that since launching on September 8, over 10 million users in the US and Canada have created Muse agents, roughly more than double Threads at its start. Muse can browse the web, send emails, and book travel on users' behalf; a quarter of users use it daily, the most common scenario is shopping, average purchase exceeds $200, first-week transaction volume exceeded expectations, and Meta had to work with Stripe to raise credit limits. Meta plans to charge merchants when Muse helps them complete sales; consumer use is free unless more tokens or more advanced models are needed; the CFO said it is working with Shopify, Walmart, and others to develop the Personal Agent Protocol.

    Meta CEO Zuckerberg said on the October 21 earnings call that since launching on September 8, over 10 million users in the US and Canada have created Muse agents, roughly more than double Threads at its start. Muse can browse the web, send emails, and book travel on users' behalf; a quarter of users use it daily, the most common scenario is shopping, average purchase exceeds $200, first-week transaction volume exceeded expectations, and Meta had to work with Stripe to raise credit limits. Meta p

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  11. Leitech

    AgiBot releases Genie Studio 2.0: a one-stop embodied intelligence operation platform, enabling deployment of new scenarios in as fast as 7 days

    AgiBot releases the one-stop full-process embodied intelligence operation platform Genie Studio 2.0, with three major modules—Flywheel, Agent, and Monitor—covering the full lifecycle of collection-training-testing-inference-programming-management, enabling deployment validation of new operation scenarios from 0 to 1 in as fast as 7 days. The platform has been implemented in scenarios such as Changzhou CNC machine tools, Junpei Intelligent BMS assembly production line, Longqi Technology tablet loading/unloading production line, and Guangzhou Metro, among which the BMS assembly task success rate remains stable above 99.9%, the single operation cycle is controlled within 13 seconds, and Guangzhou Metro already supports the deployment of more than 60 devices.

    AgiBot releases the one-stop full-process embodied intelligence operation platform Genie Studio 2.0, with three major modules—Flywheel, Agent, and Monitor—covering the full lifecycle of collection-training-testing-inference-programming-management, enabling deployment validation of new operation scenarios from 0 to 1 in as fast as 7 days. The platform has been implemented in scenarios such as Changzhou CNC machine tools, Junpei Intelligent BMS assembly production line, Longqi Technology tablet lo

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  12. Testing Catalog

    Claude platform features launch on Google Cloud via Anthropic hosting

    Claude Models on Google Cloud (Anthropic managed) is now generally available, and Google Cloud customers get the full set of Claude API features, with new features and betas launching the same day as on the native Claude Platform. The offering covers Claude Managed Agents, Code Execution, Computer Use, Agent Skills, and Advisor Strategy, and supports Google Cloud IAM credentials, billing, and commitment retirement.

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  13. MiniMaxSelected

    MiniMax M3.1 Flash releases open-source weights, 428B total parameters, 23B activated per token

    MiniMax M3.1 Flash weights are now public, with 428B total parameters and 23B activated per token. The company claims substantial improvements in agentic tasks, coding, and cybersecurity: BankerToolBench 76.2, DeepSWE v1.1 73.7%, OSWorld V2 61.7, Agents' Last Exam 29.6, CyberGym 82.2. The model uses MiniMax Sparse Attention and DSpark speculative decoding to improve inference efficiency; the weights are now available on Hugging Face and ModelScope, with API and MCode desktop entry points also provided.

    MiniMax M3.1 Flash weights are now public, with 428B total parameters and 23B activated per token. The company claims substantial improvements in agentic tasks, coding, and cybersecurity: BankerToolBench 76.2, DeepSWE v1.1 73.7%, OSWorld V2 61.7, Agents' Last Exam 29.6, CyberGym 82.2. The model uses MiniMax Sparse Attention and DSpark speculative decoding to improve inference efficiency; the weights are now available on Hugging Face and ModelScope, with API and MCode desktop entry points also pr

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  14. Artificial Analysis

    Artificial Analysis Coding Agent Index v2.0: Claude Opus 5.5 tops with 61.7

    Artificial Analysis released Coding Agent Index v2.0, with Claude Code paired with Claude Opus 5.5 (max) topping at 61.7 points, followed by Claude Sonnet 5.5 (max) at 59.3 points. The new version replaces DeepSWE with Cognition's FrontierCode v1.1; Opus 5.5 scores 56.0% on that benchmark, ahead of Codex paired with DeepSeek V4.1 Flash at 52.6%. SWE-Atlas-QnA-AA switched to GPT-6 Luna (xhigh) for judging, with five votes per item; the average score across 21 configurations fell from 58.8% to 57.1%.

    Artificial Analysis released Coding Agent Index v2.0, with Claude Code paired with Claude Opus 5.5 (max) topping at 61.7 points, followed by Claude Sonnet 5.5 (max) at 59.3 points. The new version replaces DeepSWE with Cognition's FrontierCode v1.1; Opus 5.5 scores 56.0% on that benchmark, ahead of Codex paired with DeepSeek V4.1 Flash at 52.6%. SWE-Atlas-QnA-AA switched to GPT-6 Luna (xhigh) for judging, with five votes per item; the average score across 21 configurations fell from 58.8% to 57.

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  15. Alibaba Cloud Developer Community AI

    Alibaba Cloud Model Studio Token Plan personal edition starts at 39 yuan/month: Lite plan includes 11,500 Credits

    The lowest price for the Alibaba Cloud Model Studio Token Plan personal edition is 39 yuan/month, corresponding to the Lite plan (original price 60 yuan/month, limited-time discounted price 39 yuan/month). It includes 11,500 Credits per month and supports 1-2 concurrent Agents. This plan covers models for text generation, image generation, video generation, speech recognition, and real-time voice conversation. The quota is calculated by subscription month and does not roll over. After it is used up, you can purchase a usage pack for 100 yuan/month that includes 20,000 Credits (up to 5 can be held at the same time). Currently, only the China North 2 (Beijing) region is supported.

    month, corresponding to the Lite plan (original price 60 yuan/month, limited-time discounted price 39 yuan/month). It includes 11,500 Credits per month and supports 1-2 concurrent Agents. This plan covers models for text generation, image generation, video generation, speech recognition, and real-time voice conversation. The quota is calculated by subscription month and does not roll over. After it is used up, you can purchase a usage pack for 100 yuan/month that includes 20,000 Credits (up to 5

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  16. 36Kr · AI

    Google DeepMind beats Minecraft with four Gemini 4 Argon agents

    Google DeepMind published the paper "A team of Gemini 4 Argon agents beats Minecraft": four Gemini 4 Argon coding agents autonomously divided labor in a randomly generated Minecraft survival world, accumulating 605 deaths and writing 2,783 programs, defeating the Ender Dragon in 27 hours and 14 minutes. The experiment used Minecraft Java Edition 1.20.4, Easy difficulty, a random map, and no cheats; the agents read the environment via Mineflayer and wrote JavaScript to command characters, with roughly 24,000 model calls and 1.35 billion input tokens over the whole run, 91% of which came from context caching. The authors note that about 22% of game programs contained errors and the server restarted 6 times; the paper did not demonstrate stable completion through repeated tests on multiple random maps, and at discounted API prices the completion cost is estimated at about $520.

    Google DeepMind published the paper "A team of Gemini 4 Argon agents beats Minecraft": four Gemini 4 Argon coding agents autonomously divided labor in a randomly generated Minecraft survival world, accumulating 605 deaths and writing 2,783 programs, defeating the Ender Dragon in 27 hours and 14 minutes. The experiment used Minecraft Java Edition 1.20.4, Easy difficulty, a random map, and no cheats; the agents read the environment via Mineflayer and wrote JavaScript to command characters, with ro

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  17. Claude Devs

    Claude adds a full API access method for Google Cloud

    Anthropic announced a new way to access Claude on Google Cloud: users can use the full Claude API directly from their Google Cloud account, including Claude Managed Agents, code execution, Opus 5.5 fast mode, and new features launched later. The cited official Claude post announced that Claude Models on Google Cloud, managed by Anthropic, is now generally available.

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  18. Roshan Sadanani

    Grok Bot integrates with the 1Password agent platform

    Roshan Sadanani previewed an upcoming new 1Password integration, saying it is based on the 1Password for Agents platform released that morning, and thanked the 1Password team for their collaboration. The quoted Grok Bot post said that users can approve which login information to share, and the Bot signs in on their behalf; the integration will roll out gradually over the next few days.

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  19. AWS Machine Learning

    How Amazon Quick Deploys AI in HIPAA-Compliant Environments

    Amazon Quick is a HIPAA-eligible service covering web, desktop, and mobile clients, and can be used to process PHI after signing an AWS BAA. Its chat agent can retrieve across unstructured data such as clinical notes and structured data such as claims and member records, and execute multi-step tasks through connectors including Slack, Microsoft Outlook, Salesforce, Jira, and SharePoint; it also supports connecting custom tools via MCP. HIPAA-eligible does not equal HIPAA compliant—users still need to complete data classification, configuration, governance, and administrative safeguards themselves.

    Amazon Quick is a HIPAA-eligible service covering web, desktop, and mobile clients, and can be used to process PHI after signing an AWS BAA. Its chat agent can retrieve across unstructured data such as clinical notes and structured data such as claims and member records, and execute multi-step tasks through connectors including Slack, Microsoft Outlook, Salesforce, Jira, and SharePoint; it also supports connecting custom tools via MCP. HIPAA-eligible does not equal HIPAA compliant—users still ne

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Thursday

  1. Claude Blog

    Claude Platform now generally available on Google Cloud, operated by Anthropic

    Claude Models on Google Cloud (Anthropic-hosted) is now generally available. Google Cloud customers can use the full Claude Platform capabilities with their existing IAM credentials, billing, and committed use discounts, and new features and betas launch on the same day as the native Claude Platform. This version supports Claude Managed Agents (beta), code execution, computer use, Agent skills, MCP connector, Prompt caching, and other capabilities, and provides Claude Console; Claude Fable 5.1, Opus 5.5, Sonnet 5.5, and Haiku 5.5 are already available, and Claude Opus 5.5's Fast Mode delivers up to 2.5x faster output speed, with input and output pricing at $8 and $40 per million tokens. Anthropic operates this service as the data processor and currently offers US and global endpoints; customers who require Google as the data processor or have regional data residency requirements can still choose the Google-hosted version.

    isting IAM credentials, billing, and committed use discounts, and new features and betas launch on the same day as the native Claude Platform. This version supports Claude Managed Agents (beta), code execution, computer use, Agent skills, MCP connector, Prompt caching, and other capabilities, and provides Claude Console; Claude Fable 5.1, Opus 5.5, Sonnet 5.5, and Haiku 5.5 are already available, and Claude Opus 5.5's Fast Mode delivers up to 2.5x faster output speed, with input and output prici

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