NAll news

Friday1456 items

  1. 36Kr · AIOpinion
    AI score59

    AI data centers are crowding out memory capacity, and PC and smartphone shipments both fell sharply in the third quarter of 2026

    In the third quarter of 2026, global PC shipments fell 20.1% year on year to 62.7 million units, and smartphone shipments fell 22.0% year on year to 255.3 million units; IDC said both were the largest declines on record. The article argues that the cause is that AI servers give priority to occupying HBM, server DRAM, and enterprise SSD capacity, leading to a shortage of consumer-grade memory; the cost share of DRAM and SSDs in PCs rose from about 15% to about 40%, and smartphone memory costs rose about 350% in a year. In the same period, monthly global semiconductor market shipments reached $159.7 billion, up 144.3% year on year, with growth coming mainly from AI GPUs, HBM, and memory price increases rather than end-device shipments.

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

  2. Solidot
    AI score29

    Explicit markers of LLM use found in LibreOffice project code

    An analysis of code submitted to LibreOffice this year shows at least three explicit mentions of LLM use, with community developers saying they used tools such as Claude or GitHub Copilot. The Document Foundation previously stated that LibreOffice would not build in AI features and that core developers do not use LLMs to assist with programming, but in response it said it does require contributors to disclose when they use LLMs, and that overall it does not encourage LLM use.

    #English text is being prepared.#Open-source ecosystem#English text is being prepared.

  3. TMTPost · AGIOpinion
    AI score60

    NVIDIA uses a 12,000-line Megakernel to optimize Kimi K3 inference, and vLLM says AI code is now faster than human review

    Benjamin Chislett, an engineer at NVIDIA CentML, used a 12,000-line Megakernel written in CuTe DSL to optimize Moonshot AI's Kimi K3 inference. The vLLM blog reports over 840 tokens/s at batch 1 and a 1.5x to 2x increase in decoding throughput across multiple configurations, while SemiAnalysis estimates 423 tok/s/user on GB300 NVL72, a 1.68x improvement. The vLLM blog says agent-optimized inference code is now outpacing human review and maintenance speed, so the team proposed a fast-track model optimization RFC that lets reviewers judge designs from high-level abstractions rather than reviewing code line by line. The article also mentions that NVIDIA is developing optimizations for other models for vLLM, such as DeepSeek V4.1.

    #Industry news#Reasoning#English text is being prepared.

  4. TMTPost · AGI
    AI score63

    SpaceX and Tesla Study Potential Merger, Musk Consolidates AI Compute Footprint

    Bloomberg reported on October 27 that Musk's SpaceX and Tesla are studying a potential merger through a special committee, and the combined market value would exceed $3 trillion once the deal closes. The article says the two companies already overlap on the Terafab chip project; SpaceX's AI business unit SI posted third-quarter revenue of $7.56 billion, up 830% year over year, with computing capacity of 1.7 gigawatts as of the end of September. The article also notes that SpaceX's Grok 4.7 scored 37.6% on the Terminal-Bench leaderboard, trailing Opus 5 with Claude Code at 53.9% and GPT-6 Sol with Codex at 49.4%.

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

  5. TMTPost · AGI
    AI score49

    Baidu Search Achieves Recursive Self-Evolution, Baidu App Upgrades Four Major AI Features

    Baidu Search has achieved multi-Agent collaborative self-evolution through an online feedback loop of "retrieval—feedback—retraining," improving overall iteration efficiency by more than 80%. At the Baidu App product upgrade briefing on October 30, Baidu also upgraded its search AI API, priced as low as 4.9 yuan per thousand calls during the promotional period, lower than the DeepSeek search API; the API's content layer covers more than 80 languages and a high-quality index of hundreds of billions of entries, with data credibility improved by over 50%, and the Ernie Assistant saw a 20% performance improvement after integration.

    Same story · 3 reports

    #Product updates#Search#Agents

  6. TMTPost · AGI
    AI score76

    DeepSeek's second funding round raises 105.5 billion yuan, valuation reaches 615.5 billion yuan

    According to foreign media citing sources, DeepSeek's second funding round raised 105.5 billion yuan (equivalent to 15.8 billion US dollars), with nearly 30 investors contributing jointly, at a valuation of 615.5 billion yuan. Industrial investors include ChangXin Memory Technologies, SMIC, Tencent, Meituan, CATL and others, each investing 1 billion to 3 billion yuan. The original article also noted that in the first funding round, investors other than the National AI Fund were required to give up voting rights and lock up their shares for five years, giving Liang Wenfeng 100% of voting rights.

    Same story · 5 reports

    #Industry news#DeepSeek

  7. TMTPost · AGIOpinion
    AI score70

    Terence Tao on AI and Mathematics: Opposing Predatory Extraction, Calling on the Mathematics Community to Build Its Own Open Models

    In an interview, Terence Tao criticized OpenAI for rushing to complete a version of a proof of the Navier–Stokes problem through an emergency sprint approach, saying that this 100-page AI-generated proof brought almost no mathematical insight and amounted to a kind of automated predatory extraction. He mentioned that the Human Mathematics Association already has 1,008 members, of whom 654 have joined the no-AI research group, and argued that the mathematics community should build its own open models and research tools, retaining the right to supervise and intervene in the AI research process. He also pointed out that AI has begun looking for vulnerabilities in Lean to construct fake proofs, and believes that existing mathematical tools are insufficient to establish adequate guardrails.

    Same story · 2 reports

    #Industry news#OpenAI#Papers/Research

  8. TMTPost · AGIOpinion
    AI score62

    Embodied Intelligence Funding Cools: IPO Pressure Amid Valuation-Revenue Mismatch

    TMTPost's Physical AI Vision takes stock of the embodied intelligence sector's shift from the funding frenzy in the first half of the year to the cooling in the second half: 19 funding deals worth 4.934 billion yuan between October 1 and 15, far below the peak monthly figure of 33.98 billion yuan. The article notes that Unitree Robotics' share price fell by more than 63% at its largest drop after listing, that Yinghe Robotics' full-year 2025 revenue was only 4.33 million yuan while its peak valuation exceeded 500 million US dollars, and mentions that more than 50 embodied intelligence companies are queuing for listing on the Hong Kong Stock Exchange, with some having suspended or terminated their listing plans.

    #English text is being prepared.#Embodied AI#Industry news

  9. heise online
    AI score12

    Nikkei hits record high: How investors can benefit from the recovery of the Japanese stock market

    From January to the end of October 2026, the Nikkei rose about 20%, while the S&P 500 gained only 14% over the same period. After 34 years of waiting, the Japanese stock market finally broke through its 1989 record high. AI-related companies and a series of reforms in Japan were important drivers of this rally, and Warren Buffett's multibillion-dollar investment was also one of the reasons. The article also discusses what to pay attention to when choosing hedged or unhedged products given the yen exchange rate trend, and introduces the performance, fees and top holdings of Japanese ETFs and actively managed funds.

    #English text is being prepared.

  10. heise online
    AI score42

    Oracle launches Deep Trust AI architecture to constrain autonomous AI agents at the database layer

    At Oracle AI World, Oracle announced the Deep Trust AI Architecture, which pushes security and business rules down into Oracle AI Database so that the rules do not depend on whether a specific application or AI agent implements them on its own. Deep Data Security verifies user identity using cryptographically signed tokens issued by the enterprise directory, while SQL Assertions block operations that exceed limits according to business conditions; Deep Trust Data APIs let applications and agents perform controlled reads and writes on logical business objects such as orders, and Deep NL2SQL improves natural language to SQL conversion. Oracle did not provide a unified launch date or overall pricing, and the availability of each component must be checked separately.

    #Product updates#Agents#Safety / alignment

  11. heise onlineOpinion
    AI score52

    Digital sovereignty: the dependency costs companies have not yet accounted for

    Barbara Engels, a senior economist at the German Economic Institute, argued in an article for heise that when companies evaluate software procurement, they only count licensing, deployment, and training costs, but not the cost of exiting the vendor later, causing dependencies to form without anyone deciding to create them. She suggests breaking dependency costs into three separately accounted items: the bargaining power gained from switching capability, the risk of service interruption or supply cutoff, and the revenue opportunities arising from customer and public procurement requirements for sovereignty. The article cites a Bitkom survey stating that 94% of companies using non-European digital technologies have dependencies, and if they lost these technologies, they could on average sustain business for only 16 months; in AI, she recommends adding an intermediate layer between applications and models, building in-house test cases, and storing prompts, documents, and training data in exportable, self-owned systems.

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

  12. heise online
    AI score44

    Stack Overflow's Decline: The Collapse in Question Volume Under the Dual Impact of Moderation Mechanisms and AI

    Stack Overflow's new questions per month have fallen to fewer than 1,000, with only 969 in September 2026, compared with a peak of about 207,000 in March 2014. Community discussion attributes the main cause to overly strict moderation—questions are often hastily closed as duplicates, downvoted without reason, and accepted answers have not been updated for over a decade; after ChatGPT was released in November 2022, question volume halved from about 110,000 to about 50,000 within a year, which is seen as the final blow. Stack Overflow, meanwhile, cites a 2026 developer survey saying that 64% of respondents simply ask fewer simple questions, and is betting on Stack Internal and Stack Overflow for Agents.

    #English text is being prepared.#Industry news

  13. gihyo.jpProduct release
    AI score74

    GitHub officially makes Copilot Fusion available at Universe 2026, and opens public beta of Copilot…

    At GitHub Universe 2026, held October 28–29, 2026, GitHub announced that Copilot Fusion, which integrates automatic model selection with multi-model collaboration, is now generally available. It can be used in VS Code, the GitHub Copilot app, the CLI, and JetBrains IDEs, and it automatically determines which model to use and which of three execution modes—Single, Cascade, or Critique—to apply, based on three processing tiers: Standard, High, and Max. The desktop GitHub Copilot app is also beginning a public beta of Projects, which centralizes materials, repositories, sessions, and artifacts in one place for management. GitHub says Fusion Max scores 60 on the Artificial Analysis Coding Agent Index, within 2 points of Claude Code using Opus 5.5 Max, while its average API cost per task is about half and its time is about 40% less.

    Same story · 3 reports

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

  14. Unite.AI
    AI score78

    Cursor Discloses Malicious Claude Code Extension in Marketplace Attempting to Plant SSH Backdoor

    On October 29, 2026, Cursor disclosed that a maliciously tampered version 2.1.313 of the Anthropic.claude-code extension appeared in its VS Code extension Marketplace. The package was not developed by Anthropic and attempts to install a persistent SSH backdoor, affecting up to 5,000 users. This version was downloadable on that day from approximately 2:27 to 13:35 (Pacific Time). It collects host and user information, writes the attacker's SSH public key into authorized_keys, and establishes a reverse tunnel, while also achieving persistence through a LaunchAgent or scheduled task. Cursor has removed the version, shut down and rebuilt the Marketplace, and published indicators including hashes and IP 134.209.82.225, as well as cleanup scripts for macOS and Windows.

    Same story · 5 reports

    #Safety / alignment#English text is being prepared.#Anthropic

  15. Unite.AI
    AI score60

    Wikimedia Foundation seeks to file amicus brief in OpenAI copyright case

    The Wikimedia Foundation filed a motion on October 29, 2026, with Judge Sidney H. Stein seeking to submit an amicus curiae brief in the OpenAI copyright case; the brief's main text runs 5,831 words and states that it does not take sides with either party. The brief argues that pretraining of ChatGPT's general-purpose large language models constitutes fair use, but that its RAG feature's reproduction and use of content does not constitute fair use and should comply with license terms such as Creative Commons CC BY-SA 4.0. The Foundation said that if the training stage is not recognized as fair use, AI development may be left only to the best-funded large companies, while recognizing fair use across the board would prompt publishers to lock more information behind walls.

    #English text is being prepared.#OpenAI#RAG

  16. Unite.AI
    AI score32

    Cognizant Forms 25,000-Person OpenAI Frontier Capability Team

    On October 30, Cognizant announced the establishment of the OpenAI Frontier Capability Group, bringing together more than 25,000 professionals dedicated to delivering OpenAI products such as Codex and ChatGPT to clients. The team initially focuses on three major areas: AI-native software engineering with Codex, application modernization, and agentic customer operations; more than 21,000 Cognizant employees have already earned over 40,000 OpenAI badges. An OpenAI enterprise assistant co-built for a global biopharmaceutical client has handled more than 5 million conversations, cutting content creation time by 60%.

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

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

    XGIMI Jide Starts Selling AI Memory Glasses G1 and Memory Band L1, Starting at 599 Yuan

    XGIMI Jide's AI Memory Glasses G1 and AI Memory Band L1 officially went on sale on October 28. The Band L1 standard edition is priced at 599 yuan, and the Glasses G1 standard edition has a first-release price of 1,299 yuan. The two devices share the XGIMI Jide App and the same AI memory service, recording as soon as they are powered on, and can transcribe daily conversations and automatically generate meeting minutes, to-do items, and life cards. For data management, it adopts an approach of keeping only text and not the original audio; after voice transcription is completed, the original audio is deleted, and it supports setting recording-free periods and privacy-blocked words.

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

  18. Semiconductor Industry Observer
    AI score39

    Ibiden to invest 151 billion yen to expand AI server IC substrate capacity

    Japanese packaging substrate manufacturer Ibiden plans to invest 151 billion yen (approximately 6.4 billion yuan), expanding production capacity for high-performance IC packaging substrates for CPUs at Building 6 of its Gama plant in Gifu Prefecture. New equipment will be put into production in phases starting in fiscal 2029, but the scale of the added capacity was not disclosed. In the first half of fiscal 2026, Ibiden reported revenue of 262.546 billion yen and operating profit of 60.116 billion yen, up 34.3% and 84.6% year-on-year respectively, while electronics business revenue rose 52% year-on-year to 172.540 billion yen. The company also raised its full-year revenue forecast from 550 billion yen to 565 billion yen, and its operating profit forecast from 127 billion yen to 133 billion yen.

    Same story · 2 reports

    #Industry news#English text is being prepared.

  19. Semiconductor Industry Observer
    AI score40

    Lianxun Instruments' Q3 2026 net profit was 1.439 billion yuan, with a single quarter exceeding the first half of the year

    Lianxun Instruments' Q3 2026 revenue was 2.512 billion yuan, up 711.40% year-on-year, and net profit attributable to shareholders was 1.439 billion yuan, up 3488.07% year-on-year; the single-quarter profit has exceeded the sum of the first two quarters of the year. The earnings surge stems from AI computing demand driving optical module and optical chip manufacturers to expand production, which in turn boosted sales of its communications test instruments and optoelectronic device test equipment. In the first three quarters, revenue was 4.043 billion yuan and net profit attributable to shareholders was 2.006 billion yuan, with a gross margin of about 75%; R&D investment was 399 million yuan, up 99.15% year-on-year.

    #Industry news#English text is being prepared.

  20. Semiconductor Industry ObserverOpinion
    AI score60

    AI data centers squeeze memory capacity, PC and smartphone shipments both plunge in Q3 2026

    In Q3 2026, global PC shipments fell 20.1% year-on-year to 62.7 million units, and smartphone shipments fell 22.0% year-on-year to 255.3 million units; IDC called both the largest quarterly declines on record. The article attributes the cause to AI data centers preferentially consuming HBM, server DRAM, and enterprise SSD capacity, which drove consumer memory prices sharply higher, with smartphone memory costs rising about 350% in a year. Over the same period, global semiconductor market monthly billings reached $159.7 billion, up 144.3% year-on-year, and IDC expects the smartphone market may not recover until 2028 at the earliest.

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