NAll news

Monday41 items

  1. Sina TechProduct release
    AI score56

    Alibaba Cloud Releases AI Investment Research Workbench Qovest

    Alibaba Cloud has released Qovest, an AI investment research workbench for professional institutional investors. Users can submit a research request in a single sentence, and it will automatically look up data, collect materials, analyze them, and generate a report; it can also continuously track the research subject at a set frequency. Qovest comes with a built-in financial database and a self-developed Agent engineering framework for financial scenarios called Harness, and research results can be saved to a research space for further work. The product is now open for invitation-based testing to individual users, who receive credits for a free trial after registering and can later choose a subscription plan of 99 yuan or 199 yuan per month.

    Same story · 3 reports

    #Product updates#Agents#English text is being prepared.

  2. Sina TechProduct release
    AI score51

    Alibaba Cloud Memory Service Upgrade: Enhancing Long-Term Memory and Personalization for Personal Agents

    Alibaba Cloud announced an upgrade to its Memory service, enhancing memory capabilities for user preferences, plans, and historical agreements in Personal Agent scenarios, and providing integration methods such as MCP and CLI. Memory extracts key information from conversations, saves it as memories and user profiles according to rules, and in subsequent sessions retrieves it based on user identity and the current question and adds it to the task context. In the HaluMem-medium comparison, Memory achieved the highest scores in all four metrics: recall, accuracy, and F1 for memory extraction, and the C metric for memory question answering; in the PersonaMem-v2 evaluation, it achieved an overall score of 56.82, ranking first among the 8 systems listed and highest in 7 of the 9 task dimensions. Developers can use the API to write, view, and semantically retrieve memories, and can also integrate with agent tools and frameworks such as Codex, DeepSeek Harness, Claude Code, and OpenClaw via MCP and CLI.

    #Product updates#Agents#English text is being prepared.

  3. QbitAIProduct release
    AI score64

    Xiaomi Open-Sources AI Hardware HachimoDock, Self-Build Cost Around 150 Yuan

    The innovation product team of Xiaomi's Technical Committee incubated and open-sourced the AI hardware HachimoDock (Hajimi Machine), with a hardware self-build cost of around 150 yuan. The software source code has been made public on GitHub, and the JLC platform provides the bill of materials, structural component models, and assembly tutorials. The device carries voice interaction in the form of a desktop pet, can assign tasks to a PC-side Agent and synchronously display states such as thinking, executing, and waiting for confirmation, and also supports creating custom components in minutes using natural language, while linking with smart home devices through Xiaomi's open-source project xiaomi Miloco.

    #English text is being prepared.#Agents#Embodied AI

  4. cnBetaProduct release
    AI score60

    OpenAI Adjusts Quota Rules: ChatGPT and Codex Share Quota, Instant Chat Unlimited

    OpenAI announced that ChatGPT and Codex will share the same quota, requiring users to coordinate usage between the two, but chats in "Instant" mode do not consume the shared quota. Users can view the combined remaining quota and reset time in "Settings" → "Usage"; after the quota is exhausted, they can wait for a reset, upgrade their plan, or purchase additional quota. OpenAI also plans to integrate the "Chat" and "Work" tabs in ChatGPT, testing first with a small group of users in the coming weeks, while Codex will retain a standalone experience in the desktop app.

    Same story · 11 reports

    #Product updates#OpenAI#English text is being prepared.

  5. Ayi AI NotesProduct release
    AI score76

    DeepSeek open-sources the dsh-superagen multi-agent development project

    DeepSeek has open-sourced a new project, dsh-superagen, which acts as a bot residing in GitHub repositories and Feishu groups, automatically capturing requirements from Issues and group chats, generating tickets, and then writing code, running tests, and submitting pull requests on its own. Under the hood, the project uses a multi-agent architecture in which a main router dispatches tickets and multiple parallel worker nodes execute them; each node is physically isolated via its own Git worktree. In testing, it cut the time for complex tasks from 29.5 minutes to 15.7 minutes. Review comments on pull requests are automatically subscribed to and routed back to the original worker node, with no need for repeated manual summoning.

    English text is being prepared.

    Same story · 2 reports

    #English text is being prepared.#Agents#English text is being prepared.

  6. Analytics India MagazineProduct release
    AI score52

    Arrowhead AI Releases Fletch Speech Model, Supporting 14 Languages and Used for Over a Million Customer Service Calls Daily

    Arrowhead AI, a Bangalore, India-based speech AI startup, released its self-developed TTS model Fletch on October 30, targeting multilingual customer calls in India and Southeast Asia. It has been deployed in real customer service scenarios, supporting more than one million calls per day. Fletch supports languages including English, Hindi, Tamil, Telugu, Bengali, Malay, and Indonesian, can switch languages within the same sentence, and offers 12 emotional styles such as empathetic, apologetic, calm, and firm. The company says its latency is 80 milliseconds, with speech generation beginning in under 100 milliseconds, and that pronunciation accuracy improves by about 30% on selected words such as brand names, product names, customer names, and Indian proper nouns. It is currently used for collections, sales, renewals, and inbound customer service, with customers including Axis Bank, RBL Bank, IndusInd Bank, Tata 1mg, upGrad, KreditBee, Kissht, and TVS Credit.

    #Model releases#Speech#Multimodal

  7. LeikejiProduct release
    AI score57

    Zhuoyu Technology Releases Pansing Intelligent Assisted Driving Solution for Commercial Vehicles

    Zhuoyu Technology released its commercial-vehicle intelligent assisted driving solution, Zhuoyu Pansing, in Zhuhai. It is divided into two versions, PDS 4 and PDS 5. PDS 4 supports highway NOA and has already entered mass production across multiple brands, while PDS 5 corresponds to a native multimodal foundation model and will support urban NOA. Pansing has partnered with six commercial heavy-truck brands—XCMG Automobile, Shaanxi Automobile Group, Sinotruk, FAW Jiefang, Foton Motor, and Dongfeng Commercial Vehicle—which together account for more than 93% of China's commercial heavy-truck market. Zhuoyu says its AI reinforcement-learning fuel-saving algorithm achieved a measured fuel-saving rate of 4.5%–7.5% in tracking tests covering more than 200 mass-produced vehicles and cumulative mileage of over 20 million kilometers.

    #Product updates#English text is being prepared.#English text is being prepared.

  8. Sina TechProduct release
    AI score58

    Daxiao Robotics and Nanyang Technological University S-Lab Release World Model Mundo

    Xuhui embodied intelligence company Daxiao Robotics, in collaboration with Nanyang Technological University S-Lab, released the world model Mundo, which requires only 1 to 12 real photographs or short videos to reconstruct indoor 3D spaces such as offices and home rooms, and supports free roaming and physical collision interaction. The model can write physical parameters such as object mass and friction into the scene; users can pull open drawers, push tables and chairs, and throw objects through code, and the physics engine calculates motion and collision results. The system can also synchronously output the robot's first-person and third-person views and retain motion trajectories and interaction data. Mundo is a supplement to Daxiao Robotics' "Kairos" world model system. The company has attempted to reconstruct a hotel floor environment, simulating tasks such as opening doors and picking up and placing objects to carry out robot simulation training. The relevant project page and technical blog have been launched.

    Same story · 4 reports

    #Model releases#Embodied AI#Multimodal

  9. Ayi AI NotesProduct release
    AI score73

    Karpathy built the HackerTube video site with Claude Opus 5.5 in two hours

    Over the weekend, Karpathy used Claude Code together with Opus 5.5 to filter 43 million comments spanning 20 years of Hacker News down to 6,454 frequently recommended long videos, and built HackerTube, which requires no login, in about two hours. The site's cover images are taken directly from the middle frame of each video rather than the optimized thumbnails uploaded by creators, and browsing state is kept in the local browser session. He only manually applied for a YouTube API key from Google Cloud, rented a VPS, and bought a domain in the browser; after that he handed the IP to Claude and let it handle deployment, security hardening, and code optimization.

    Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5: https://t.co/JIhXN7OSh1 - Excellent recs without any logins (state is kept in local browser session) - Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads - Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version - HackerTube Longs ✊ A bit more on the process: I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing. Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.

    Same story · 8 reports

    #English text is being prepared.#Agents#English text is being prepared.

  10. 36Kr · AIProduct release
    AI score62

    SenseTime open-sources SenseNova-RoboRSI framework and 27B embodied model

    The SenseTime SenseNova joint research team published a technical report on arXiv, evaluating the embodied capabilities of GPT-6-Astra across 12 simulation benchmarks and 8 real robot platforms, while open-sourcing the SenseNova-RoboRSI execution framework and its accompanying 27B embodied model, claiming to reduce task completion costs to 1/50 of directly invoking GPT-6-Astra. According to SenseTime, RoboRSI-27B improved its success rate on RoboCasa365 from 26.0% to 46.5% while reducing token usage by 73.3%; these results come from its own evaluation. The article notes that the 1/50 figure measures cost compression for specific tasks such as stacking bowls and loading pens under extended-budget conditions, and awaits third-party retesting; long-horizon tasks and fine-grained control of real robots remain weak points.

    #Papers/Research#Embodied AI#Open-source ecosystem

  11. indigoProduct release
    AI score62

    Karpathy built HackerTube with Claude, filtering 6,454 recommended videos from 43 million HN comments

    Andrej Karpathy built the weekend project HackerTube with Claude Code and Opus 5.5, filtering 6,454 consistently recommended videos from 43 million comments across 20 years of HN, taking about 2 hours. The site requires no login, keeps state in the local browser session, and uses a representative frame from the middle of each video as the thumbnail. He said that aside from applying for a Google Cloud API key, setting up a VPS, and buying a domain, all other updates, hardening, deployment, and optimization were left to Claude, and the comment analysis data was packaged into a zip file so Claude could use it to generate its own version.

    Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5: https://t.co/JIhXN7OSh1 - Excellent recs without any logins (state is kept in local browser session) - Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads - Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version - HackerTube Longs ✊ A bit more on the process: I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing. Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.

    Same story · 8 reports

    #English text is being prepared.#Agents#Anthropic

  12. TMTPost · AGIProduct release
    AI score71

    DeepSeek Harness team releases Super-agent architecture

    The DeepSeek Harness team released the Super-agent architecture on its official WeChat account, adopting a Router/Worker two-tier design. The Router stays online permanently, uniformly receiving group chat, GitHub, and email messages and maintaining global context, while Workers isolate context and execute in parallel. The team said the architecture proposes no new theory but instead brings mature systems ideas such as scheduling, caching, and compute-storage separation into the Agent system. The accompanying prototype is open-sourced under the MIT license, but the team stressed that it is not a formal product. In tests with about 300 messages and 20 work requests, task completion time was 12.4 minutes at p50 and 15.7 minutes at p95; a single-session approach with Subagent tools had a p95 of 29.5 minutes under neutral prompts.

    #Industry news#Agents#DeepSeek

  13. English text is being prepared.Product release
    AI score51

    Subvocal silent-interaction AI glasses open for pre-order at an early-bird price of $499

    The Subvocal Company, a San Francisco-based startup, has announced that its Subvocal silent-input smart glasses are open for pre-order at an early-bird price of $499, requiring a refundable deposit of $199. The first batch is expected to be delivered in the first quarter of 2027, and it is currently available only in the U.S. market. Users do not need to speak aloud; text is generated solely from the subtle speech-muscle activity that occurs when silently mouthing words, for use in sending messages, taking notes, and interacting with AI assistants. The company claims that the prototype device has achieved a silent input speed of more than 200 English words per minute, but this figure comes from internal company testing and has not yet been independently verified.

    #Product updates#English text is being prepared.#Speech

  14. Electronic Technology ApplicationProduct release
    AI score52

    Beijing Space Computing Innovation Center Releases Space-Ground Integrated Space Computing Cloud Platform

    The Beijing Space Computing Innovation Center has released a space-ground integrated space computing cloud platform, which has completed core function development and covers computing resources of more than 40 satellites. The platform achieves unified management and pooled scheduling with ground-based computing power such as CPU, GPU, and NPU, and supports space-ground integrated collaborative scheduling for large-model inference services. A CITIC Securities research report believes that the timeliness of satellite remote sensing data has improved from the hour level to the ten-minute level, and the accelerated networking of remote sensing constellations is driving the realization of fundamentals across the industry chain.

    #Industry news#English text is being prepared.#Product updates

  15. Aravind SrinivasProduct release
    AI score58

    Perplexity Computer Launches Interactive Globe of Earth's 4.5-Billion-Year Evolution

    Perplexity's Computer built an interactive globe of Earth's 4.5-billion-year evolution based on 14 open datasets, with its own engine driving 258 plates across 109 paleo-elevation maps. Users can drag the timeline or enter a city name to see where it sat 400 million years ago. Aravind Srinivas reposted the release with the caption "Computer, visualize earth across 400M years".

    Computer built an interactive globe of Earth's 4.5 billion years from 14 open datasets, with its own engine moving 258 plates across 109 paleo-elevation maps. Drag the timeline, or type a city to see where it sat 400 million years ago. https://t.co/OAyogdWhBc https://t.co/ZFsREdM8Kn

    #English text is being prepared.#Product updates#Multimodal

  16. Phoenix TechnologyProduct release
    AI score60

    OpenAI announces that ChatGPT and Codex will share a quota, effective for Plus, Pro, and Business starting in December

    OpenAI has sent a notice to users stating that, as ChatGPT's chat and work features are integrated, ChatGPT and Codex will share a single quota within the coming weeks, with the change applying to Plus, Pro, and Business plans starting in December. Quota consumption depends on the selected model and task complexity; using instant-mode chat does not consume the shared quota. Users can view their combined remaining quota and reset time on the usage page in settings, and after the quota is exhausted they can wait for the reset, upgrade their plan, or purchase additional quota. OpenAI also plans to integrate ChatGPT's chat and work tabs, testing first with a small group of users, and Codex will still retain a standalone experience in the desktop app.

    Same story · 11 reports

    #Product updates#OpenAI#English text is being prepared.

  17. East MoneyProduct release
    AI score58

    DeepSeek Harness Team Releases Super-agent Architecture

    On the evening of October 31, the DeepSeek Harness team published a technical article titled "Super-agent Design Exploration: Toward a More Autonomous Agent System," proposing to rebuild the Agent system around five major modules—a two-layer architecture, event-driven design, asynchronous multi-channel interaction, storage-compute separation, and an external Watchdog—summarized as four characteristics: continuous, efficient, proactive, and persistent. In synthetic load tests with about 300 messages per run, of which about 20 were work requests, the Super-agent's median and 95th-percentile task completion times were 12.4 minutes and 15.7 minutes, respectively, while the single-session approach under neutral prompts had a 95th-percentile time of 29.5 minutes. In the Router-layer stress test, the event arrival rate rose from about 1 per minute to about 40 per minute, and the inference time apportioned to a single decision dropped from 6.4 seconds to 1.6 seconds.

    Same story · 21 reports

    #Product updates#Agents#DeepSeek

  18. MiniMaxFirst-partyProduct release
    AI score66

    MiniMax M3.1 Flash Gains Support from Multiple Community Quantization Schemes for Local Running

    MiniMax officially summarized the various quantization and local inference schemes that the community has provided for the 428B M3.1 Flash, including UnslothAI's 2-bit Dynamic GGUF weights (143.9 GB), SAGE-EXL3, Project Maya's expert offloading, EXL3-EAQ, oQ quantization and oMLX decoding on Apple Silicon, Quark MXFP4 adapted for AMD Instinct, and an inference implementation on 4× RTX 3090 that combines quantized weights with expert caching. The official statement says that low-bit weights can reduce the memory required to load the model and the weight data moved during decoding, but they require careful calibration, efficient low-bit kernels, and expert placement across GPUs and system memory.

    #Product updates#English text is being prepared.#English text is being prepared.

  19. Elon MuskProduct release
    AI score60

    Elon Musk Says Grok Bot Will Research and Buy Gifts on Your Behalf

    Elon Musk said Grok @Bot will research gifts that friends and family like and buy them directly. The post cited Justine Moore's experience: she let Grok @bot use up to $100 from her X Money account, combining her tweets and conversations to pick gifts; the gifts have arrived and included a Halloween surprise.

    Last week, I told my Grok @bot to surprise me with a gift. I said it could use up to $100 from my X Money account, and asked it to consider my tweets + our conversations to pick a good present. Look what arrived today! Even included a Halloween surprise 🎃 https://t.co/HP7IU1D2He

    #Product updates#Agents#English text is being prepared.

  20. Andrej KarpathyProduct release
    AI score59

    Karpathy built HackerTube with Claude, filtering 6,454 videos from 43 million HN comments

    Karpathy released the weekend project HackerTube, using Claude to filter 6,454 repeatedly recommended videos from 43 million comments spanning 20 years of HN. The entire project was completed in about 2 hours using Opus 5.5. The site provides recommendations without requiring login, thumbnails are taken from a representative frame in the middle of the video, and the comment analysis data is packaged as a zip file that can be handed to Claude to generate your own version. He used the Mac desktop version of Claude Code and manually did only three things: applying for a Google Cloud API key, starting a VPS, and purchasing a domain. After that, he had Claude handle updates, security hardening, deployment, and code optimization.

    Same story · 8 reports

    #English text is being prepared.#Agents#English text is being prepared.