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Nov 2Mon
  1. QbitAI70

    Xiaomi open-sources AI desk setup HachimoDock, DIY cost about 150 yuan

    Xiaomi's Technology Committee's Innovation Product Team open-sources AI hardware HachimoDock (Hachimi Machine), DIY hardware cost about 150 yuan, can voice command computer Agent to execute tasks and synchronize display task status. The device also supports custom desktop pet images, generates minute-level components using natural language, and integrates with Xiaomi open-source project xiaomi Miloco to control smart home. Software source code has been published on GitHub, and the JLCPCB platform provides bill of materials, structural model, and assembly tutorial, but its development board and screen components have experienced price increases and shortages.

  2. ITHome · AI65

    Alibaba Cloud Releases AI Investment Research Platform Qovest

    Alibaba Cloud releases AI research and investment platform Qovest, where users can propose research needs with a single sentence, allowing the system to automatically retrieve data, analyze, and generate reports. Qovest has authoritative financial databases and a self-developed Agent engineering framework, supporting interactive deep research results. It has opened an invitation for individual users to test, offering free trials and subscription packages of 99 yuan per month or 199 yuan.

  3. Hugging Face Daily Papers38

    R^2Orch: Achieving recursive self-improvement of agent orchestration through self-play within skill internalization loops

    R^2Orch trains orchestrators through recursive self-play with learnable task selection and skill withdrawal, without hand-designed curricula, improving performance in reasoning and interactive tasks. Experimental results show that R^2Orch consistently outperforms baselines on twelve datasets, covering question answering, mathematics, code, and interactive tasks. The code is open source.

  4. ITHome · AI38

    Vision Technology: The world's first 800V SST high-voltage DC system achieves commercial operation in AI data centers.

    Vision Technology's integrated 800V high-voltage DC power supply system is commercialized in the Wulanchabu Xinghe base, becoming the world's first similar system to operate in a large AI data center. The system consists of a Tianshu controller, solid-state transformer, DC energy storage, and DC/DC, supporting a green energy direct connection ratio of over 80%.

  5. Moonshot AI · Hugging Face new models

    Kimi K3.1 Pro Released: Open-Weight Multimodal AI Model

    Kimi K3.1 Pro is an open-source multimodal AI model by Moonshot AI, with 2.8T parameters, 104B activation parameters, and a context window of 1M tokens, demonstrating excellent performance in areas such as coding, 3D creation, and financial research. Compared to Kimi K3, it adopts Gated DSA layers to improve long text processing efficiency and has outperformed competitors like Claude Fable 5.1 and GPT-6 Astra in benchmarks such as Terminal-Bench 4.0.

  6. Sakana AI38

    Sakana AI held a seminar: Jürgen Schmidhuber talks about the past and future of AI, Japan will challenge language models, world models, and physical AI

    Jürgen Schmidhuber, professor at the Sakana AI Symposium, presented a speech reviewing the many ideas that contributed to modern deep learning and generative AI from the 1980s to the 1990s, and introduced the LSTM paper proposed in 1990. Sakana AI announced the development of a pre-trained model, planning to release a small language model named 'Sawara Small' in spring 2027.

  7. SemiAnalysis0

    GDPx: A benchmark to measure the capabilities of cutting-edge models in the most valuable domains.

    GDPx benchmark covers valuable areas such as chip design and cybersecurity, aiming to measure the capabilities of general intelligence agents, with results showing that top models scored only 12%. Opus 5.5 and GPT-6 Astra were penalized due to their security classifier scores, this benchmark was developed by SemiAnalysis in collaboration with 14 professional data partners and ensures task quality through a strict QA process.

Nov 1Sun
  1. The Decoder42

    Google DeepMind released StreamVibe video agent to understand user needs

    Google DeepMind released StreamVibe video agent, a model based on Qwen3.5-9B and specifically trained to understand ambiguous requests and provide help when appropriate, improving response timing and quality by 10.7% on ProactiveBench and increasing proactive interaction rate by 12.3%. Tests show it outperforms other open-source models, but it still struggles to track changes in long videos (>5 minutes), with performance dropping to 38.5% of the benchmark.

  2. QbitAI58

    Jev announces new achievements, open-source tool Treg becomes 'cost-performance butcher'

    Jev and Treg Open Source Person Finder, priced as low as 0.0089 USD (about 6 cents) to find a clue, 85% cheaper than Clay, with 6400 Stars. Treg performed excellently in the People Search Bench review, with a 78.2% accuracy rate for B2B lead generation tasks. This tool automates the process of finding people, checking emails, and verification by calling Treg's data tool through Agent.

  3. MarkTechPost58

    Nace AI open-sources Drex Max v1: a 27B decision model that can run locally on Apple Silicon

    Nace AI open-sources its most powerful decision model, Drex Max v1, which can run locally on Apple Silicon hardware. The model includes bf16 weights, Q8_0 GGUF format, affine Q4 checkpoints, and llama.cpp/Ollama branches, scoring 67.52 on the public decision index 0.4, surpassing Drex v2.0 (61.25), and achieving a 97.3 skill score on InfographicVQA.

  4. QbitAI78

    DeepSeek has open-sourced the Super-agent architecture, disclosing the underlying concept of Personal Agent.

    DeepSeek has open-sourced the Super-agent prototype, disclosing the dual architecture concept for Personal Agent, where the upper-layer Router handles message reception and task coordination, and the lower-layer Worker executes tasks in parallel.

    Why it matters: DeepSeek has publicly disclosed the dual architecture of Personal Agent and actual test data, showing how multi-session collaboration can bypass human attention bottlenecks.

  5. Databricks Blog58

    Databricks Lakebase branching helps CI/CD: experience from 100 PR databases

    Databricks Lakebase reduces the creation time of each PR branch to seconds with its copy-on-write database branching feature, supporting up to 100 concurrent branches, with each branch having independent read/write, compatible with standard Postgres, and supports large JSONB/LOB columns, meeting Snorkel AI's needs for fast, secure, and low-cost testing of production data in CI/CD processes.

  6. Latent Space42

    How Arca uses Claude to support long-term financial work

    Arca stated at the AI Engineers' New York Summit that its agents primarily handle background work, but human advisors retain final decision-making authority. Agents only analyze and propose solutions, with transactions executed by humans. Agent tasks can last up to ten days, and the company has developed an internal memory system to track task progress and responsibility allocation. They use models from Anthropic and OpenAI, automatically selecting models based on internal benchmarks via a custom harness. In terms of security, agent operations are strictly limited, involving no client risk, and they use sandbox computing and additional measures to handle sensitive data.

Oct 31Sat
  1. ITHome · AI72

    DeepSeek proposes the Super-agent dual-layer architecture design and open-sources the prototype.

    The DeepSeek Harness team released an article titled 'Super-agent Design Exploration,' proposing a dual-layer architecture where the Router layer uniformly handles human interactions and multiple Worker sessions are isolated and executed concurrently, summarizing four characteristics: continuous, efficient, proactive, and persistent.

  2. The Decoder62

    Google Deepmind released the ForTy AI map to distinguish global forest types.

    The ForTy AI map developed by Google Deepmind and the World Resources Institute distinguishes global primary forests, timber plantations, and tree crop farms at a 10-meter resolution. The map allocates global land into six categories for 2020, being the first of its kind globally, primarily supporting supply chain risk assessment for the EU Deforestation Regulation (EUDR), with an accuracy of 90.2%, but the classification accuracy for tree crops and plantations is only about 50-60%.

    Same story · 2 outlets

    How the accounts differ:Google DeepMind states the map classifies land into six types; The Decoder mentions only four types (original forest, plantations, and tree crop farms).

  3. MarkTechPost72

    Vercel Labs has open-sourced agent-desktop, enabling agents to operate desktop applications through the system's accessibility tree.

    Vercel Labs has released an open-source CLI tool, agent-desktop, which allows AI agents to read and operate native applications on macOS, Windows, and Linux by accessing the operating system's accessibility tree, rather than relying on screenshots.

    Why it matters: The original text compared the differences between agent-desktop based on accessibility trees and screenshot-based computer use in terms of token consumption and cursor usage, and provided self-reported data.

  4. Hugging Face Daily Papers55

    VibeGame Framework: A prompt-based game development system using an AI-native engine and a self-evolving team of adversarial intelligences.

    VibeGame Framework constructs complete 2D games from natural language prompts using an AI-native engine and eight specialized adversarial intelligence teams, supporting interactive validation and reusable self-evolving components. On the GameCraft-Bench subset, VibeGame's P2G (Prompt-to-Game) version surpasses multiple AI agent solutions like GPT-6.1-Sol with the same underlying model.

  5. ITHome · AI58

    Tencent Maps reveals the full capabilities of Agent, with Yuanbao, WeChat XiaoWei, OPPO XiaoBu Assistant, and others already integrated

    Tencent Maps announced the full capabilities of Agent at the 2026 Tencent Global Digital Ecosystem Conference, with Yuanbao, WeChat XiaoWei, OPPO XiaoBu Assistant, and others already integrated; Yuanbao supports one-sentence route planning and taxi hailing, while XiaoWei provides AI+map experiences in scenarios like Channels.

  6. ITHome · AI40

    The first special edition mouse in the Logitech MX series, MX MASTER 4 Developer Special Edition, and the MX KEYPAD Creative Workstation are now available in China.

    The Logitech MX MASTER 4 Developer Special Edition is the first special edition in the MX series, priced at 999 yuan, featuring programming symbol design, and purchase comes with 500 WorkBuddy points; the MX KEYPAD Creative Workstation is priced at 799 yuan, equipped with 9 full-color customizable LCD keys, supporting AI plugin development via SDK, and purchase comes with 3000 WorkBuddy points.

  7. ITHome · AI65

    Microsoft released Windows App SDK 2.6.4 to improve the Win11 native framework WinUI experience

    Microsoft released Windows App SDK 2.6.4 to improve the Win11 native application framework WinUI experience, avoid memory usage issues of 'webshell' applications, enhance application stability and compatibility, and strengthen AI capabilities. This version simplifies Language Model API access, upgrades ONNX Runtime to 1.27.1, fixes text control crashes, and includes reliability and diagnostic improvements covering WinUI 3, application lifecycle, etc.

  8. OpenRouter Blog42

    OpenRouter: Open weight models usage ratio reaches 72%, with a significant cost difference from proprietary models

    Open weight models on OpenRouter accounted for 72% of the top 50% model tokens by the end of September, an increase of 455% from October 2025; while proprietary models also saw usage grow nearly tenfold, the cost per million tokens input for open models is only about a quarter of that of proprietary models; due to fierce competition, open models like DeepSeek V4.1 Flash and GLM-5.3 Flash are priced lower, but the top proprietary model, Claude Opus 5.5, still leads by 11 points in AI analysis intelligence index.

  9. NVIDIA Technical Blog65

    Running AI models in edge application development using a few commands

    Developers are building next-generation intelligent agents at the edge for monitoring driver attention and cabin conditions, helping robots understand environmental planning tasks, and coordinating machine clusters on production lines. These physical AI applications require models for perception, reasoning, and action that run within strict memory, power consumption, and latency budgets.