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Nov 11Wed
  1. Amp News65

    Amp launches new deployment tool Boxes: small, cheap, and permanently running computing units

    Amp launches Boxes, a permanently running, small, and affordable computer where users can deploy software built with Amp, with the smallest model priced at $18 per month, supporting the operation of any application and equipped with an AI agent to manage deployed applications and production data. Users can create, deploy applications, and control the power on/off of Boxes via the agent as needed, supporting minute-by-minute billing and default continuous operation.

  2. Google DeepMind87

    Google DeepMind releases the Gemini 4 Carbon cutting-edge model

    Google DeepMind has opened Gemini 4 Carbon to developers, enterprises, scientists, and consumers, claiming it has reached cutting-edge levels in network security capabilities and long-range intelligent agent workflows.

    Why it matters: The official provides the positioning division of roles between Carbon and Argon, multiple benchmark rankings, and cost comparisons per task to help determine when to use a heavier model.

  3. The Verge · AI65

    eBay appears to have banned third-party AI agents from browsing on its platform

    eBay appears to have blocked AI agents, including Meta's Muse, from browsing on its platform, which is the latest hurdle in the AI agent competition. eBay had previously updated its user agreement to prohibit 'buying agents' and 'LLM-driven robots' from placing automatic orders without manual review. Retailers have varying levels of acceptance for third-party AI agents accessing their websites; Amazon has completely blocked external agents from browsing or shopping, while Shopify allows users to set up agents to purchase items from among its 1 billion products.

  4. MarkTechPost

    Zyphra has released ZONOS3-Mini: an 800M parameter open-source speech synthesis model.

    Zyphra has released ZONOS3-Mini, an open-source speech synthesis model with 800M total parameters and 100M active parameters, supporting real-time local deployment and zero-shot voice cloning. The model ranks first in the open model category in Zyphra's self-developed ZTTS2-Eval benchmark test (66.2 points), with the first audio generation on a single H100 GPU taking 80 milliseconds, but the reference audio cloning effect is far lower than the embedded mode.

  5. Mastra Blog

    Mastra FDE released: Pre-deployment engineering plan for AI engineers

    Mastra FDE is a pre-deployment engineering plan for all teams building AI agents. By deploying engineers familiar with Mastra at a cost lower than hiring one senior AI engineer, it assists teams from the first week in architecture design to production deployment, and provides regular 1:1 communication, consulting, or proactive development support. It also includes access to a Slack channel with founders and engineers, quick response, roadmap insights, customized training, and the full suite of Mastra Enterprise features.

  6. TechCrunch · AI

    Google releases two new TPU chips to expand AI hardware portfolio

    Google has released two new TPU chips, TPU 8tx and TPU 8i Max, for AI workloads, expanding its chip portfolio to confidential inference and larger memory capacity. The TPU 8tx was developed in collaboration with AMD, designed specifically for confidential training and running AI models, with hardware-level direct integration of security features; the TPU 8i Max combines two TPU 8i chips, doubling memory capacity, processing power, and bandwidth, supporting AI models to handle a wider range of information.

    Same story · 4 outlets

    How the accounts differ:MarkTechPost states TPU 8tx uses TPU 8t chips paired with 5th gen AMD EPYC, while TechCrunch mentions it was co-developed with AMD for secret training and running AI models with direct hardware security integration.

Nov 10Tue
  1. Google DeepMind76

    Google DeepMind releases Gemini Robotics 2.5 vision-language-action model

    Google DeepMind released Gemini Robotics 2.5, claiming it is the most capable vision-language-action (VLA) model to date, with a 30% to 100% increase in success rate on 200 tasks compared to previous baselines, and 20% to 30% faster task completion speed.

    Why it matters: Officially disclosed were 200 task evaluations and actual production line test data showing a 96% success rate for Mercedes-Benz, which can be used to judge the extent of VLA model deployment in real industrial scenarios.

  2. Hugging Face Blog

    Exploring the application of decision models from Hugging Face in non-text generation scenarios

    Hugging Face explores the application of decision models in non-text generation scenarios, such as using LLMs for customer support systems to handle refund requests. The model directly evaluates options and returns a probability distribution instead of generating text. Decision models take state and questions as input and output structured decisions and probabilities, which are superior to LLMs generating JSON directly, as the latter may not follow the request format and is inefficient. Decision models differ from classification models in that the former's output categories can be dynamically adjusted, while the latter's output categories are fixed and require retraining to expand.

  3. ITHome · AI

    MiniMax open-sources H3-Image image generation model, 10 seconds to generate 4K images

    MiniMax H3-Image released and weights opened, capable of generating 4096x4096 pixel 4K images in 10 seconds. The model has text-to-image generation, image reference, and editing capabilities, achieving speeds five times faster than mainstream market models, supporting 16 reference images, and offering a 50% discount on 16MP generation requests in the first week.

  4. MarkTechPost82

    Anthropic released Claude Fable 5.2 and Mythos 5.2: The same model, different safety guards.

    Anthropic releases Claude Fable 5.2 and Claude Mythos 5.2, both based on the same underlying model. Fable 5.2 adds a classifier to intercept high-risk cybersecurity tasks and most biology research tasks, while Mythos 5.2 removes these restrictions and requires access through the Cyber Verification Program and Life Sciences Verification Program.

    Same story · 11 outlets

    How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.

  5. ITHome · AI65

    Goldman Sachs estimates that Anthropic's revenue will exceed 600 billion US dollars by 2030.

    Goldman Sachs predicts Anthropic's revenue will exceed 600 billion US dollars by 2030, with approximately 52 billion US dollars in revenue in 2025, increasing to 136 billion US dollars in 2027, and reaching 442 billion US dollars in 2029. Anthropic's revenue in 2025 is 4.6 billion US dollars; if Goldman Sachs' prediction comes true, it will rank among the world's largest companies.

  6. Ars Technica · AI

    DeepMind releases Gemini Robotics 2.5 and open-source security benchmark "ASIMOV-jailbreak"

    DeepMind releases Gemini Robotics 2.5, whose robotic AI has approached human level in completing 200 tasks such as gripping food and laboratory pipetting, and has achieved high-precision operations like tying bows on the Apptronik Apollo humanoid robot; this version significantly improves dexterity while launching the open-source security benchmark "ASIMOV-jailbreak".

  7. Recode China AI

    Ulanqab: A remote Chinese city becomes a new hub for computing centers due to the AI boom

    Ulanqab, with its cool climate and cheap electricity, has attracted a large number of AI chips and data centers, transforming from an agricultural city into China's AI computing center. Kuaishou built its first self-built data center here in 2023, and in April of this year, DeepSeek offered operations and maintenance positions with a monthly salary of up to 30,000 RMB. Over the past two years, data centers have surged, attracting young people from all over the country, but the market is now saturated, with higher hiring standards and age limits of 35.

  8. 404 Media

    Applications of AI reverse engineering for Claude Code and Codex are limited

    Anthropic's Claude Code and OpenAI's Codex have been used by users for AI reverse engineering, but have now triggered security checks leading to restricted functionality or account bans, including attempts to repair IoT devices or remove smart TV ads; a reverse engineering project named Decomp.wtf has also shut down for similar reasons; OpenAI engineers say the restrictions are mostly accidental, but users are turning to using open-source or local models without such restrictions.

  9. 404 Media

    AI companies restrict users from reverse engineering Claude and Codex

    Users of Anthropic's Claude and OpenAI's Codex are encountering account or feature restrictions due to reverse engineering operations, such as fixing IoT devices or removing smart TV ads; OpenAI engineer Tarun Gogineni says these restrictions are mostly accidental, but users are turning to open-source or local models to bypass such restrictions, reflecting that large AI companies tend to protect their own and partners' interests when users use LLMs to circumvent hardware manufacturers' restrictions.

  10. The Verge · AI

    Adobe is fully committed to AI

    Adobe announced that it will introduce chatbots and AI agents as the next-generation design assistants, even automating creative workflows and repetitive tasks. At the Adobe Max conference in Miami, Adobe introduced a feature that allows third-party AI agents to access and modify Creative Cloud projects, new features for the Firefly AI assistant, and the ability of AI agents to perform repetitive tasks in the background.

    Same story · 3 outlets

    How the accounts differ:The Verge states Adobe will automate creative workflows and repetitive tasks; TechCrunch only mentions injecting AI features into products.

  11. The Verge · AI

    Anthropic's IPO target is $140 billion

    Anthropic confirms its IPO could be one of the largest in history, valued at $140 billion, though lower than previous expectations. The IPO price is expected to be between $70 and $78 per share, and if successful, the company will become one of the most valuable publicly traded companies in the world, with plans to start trading next Thursday or Friday.

  12. ITHome · AI

    Adobe Creative Cloud integrates with third-party AI agents, supporting local photo and video editing in the future

    Adobe announced new features at the MAX conference, allowing third-party AI agents to directly access and modify Creative Cloud projects via the Local Model Context Protocol (MCP), supporting AI agents from companies like OpenAI, Google, and Anthropic for background processing of regular tasks, and the Firefly AI assistant beta version adds planning mode, model selector, and Firefly Boards support.

    Same story · 3 outlets

    How the accounts differ:The Verge states Adobe will automate creative workflows and repetitive tasks; TechCrunch only mentions injecting AI features into products.

  13. LangChain Blog

    How LangChain improves AI agents through Eval-Driven Development (EDD)

    LangChain improves AI agents through evaluation-driven development (EDD), defining agent behavior standards, building evaluations, adjusting code, and comparing results. EDD draws inspiration from test-driven development (TDD), targeting agents with non-deterministic outputs, measuring performance through evaluation metrics, and guiding development. Specific steps include defining agent behavior specifications, building test datasets containing inputs and reference outputs, and writing code or LLM evaluators to verify whether the behavior meets expectations.

  14. The Decoder

    Anthropic's Fable 5.2 completes 41% of real freelance tasks, up 38.5% from last year

    Anthropic's Fable 5.2 completed 41.3% of real freelance tasks, an increase of 38.5% compared to last year. The model excelled in areas such as 3D modeling, audio editing, and architectural design, successfully completing nearly 50 complex projects that previous AI models could not solve. Its direct predecessor, Fable 5.1, only completed 17.8%, while Opus 5.5 and GPT 6 Astra ranked behind with 21.25% and 20.83% respectively.

    Same story · 11 outlets

    How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.

  15. ITHome · AI65

    Siemens CEO Bernhard Belz: AI will not replace humans, but those who use AI can replace those who do not

    Siemens CEO Robert Budde believes AI will not directly replace humans, but those who use AI will replace those who do not. Mastering AI technology is becoming increasingly important for the job market and skill requirements, and people with creativity and basic knowledge of electrical engineering or mechanical engineering still have a place. AI is a pattern-matching tool and does not possess true creativity. AI investment needs to enter the real world to generate commercial returns.

  16. TechCrunch · AI

    Kora Systems has released a Linux desktop operating system for the AI era called Kora.

    Kora Systems released the Linux desktop operating system named Kora on November 10, 2026, integrating AI models and agents, supporting cross-application collaboration, file access, and context preservation between tasks, planned to be launched for free in 2027, accelerated development based on OpenAI Codex and Anthropic Claude, targeting heavy AI users.

  17. TechCrunch · AI

    Adobe is introducing AI agents and new creative tools into Photoshop, Premiere, and Firefly.

    Adobe announced at its MAX conference that it will add more AI features to Photoshop, Premiere, Illustrator, and InDesign, while expanding the AI capabilities of Firefly and launching a creative AI agent.

    Same story · 3 outlets

    How the accounts differ:The Verge states Adobe will automate creative workflows and repetitive tasks; TechCrunch only mentions injecting AI features into products.

  18. ITHome · AI

    Google DeepMind used AI to complete the formal verification of the Signal protocol, mathematically proving its end-to-end encryption reliability.

    Google DeepMind used AI to complete the formal verification of the Signal protocol, mathematically proving its end-to-end encryption reliability. The analysis process took about four weeks, but the specific scale of computational resources was not disclosed, and it is currently unclear about the practical feasibility of applying the technology on a larger scale.