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CcnBeta14:17

AI score84

Claude discovers a severe Linux kernel vulnerability that lay dormant for 11 years and generates a working exploit

Anthropic's Claude model discovered a use-after-free (UAF) flaw in the Linux kernel's IPv4 TCP handshake. The code was submitted in October 2015 and introduced with Linux 4.4; an attacker can trigger remote root privilege execution through network traffic without a password or user interaction. Claude also generated a working two-stage exploit: the first stage took about 48 minutes to defeat kernel address space layout randomization protections, and the second stage took only 5 minutes to execute arbitrary commands with root privileges. The whole process took about 53 minutes, and a failure does not cause the target to crash. The upstream fix was completed on October 15, covering 5.10.272, 6.1.190, 6.12.113, 6.18.56, 7.2.10, and 7.3-rc7, but as of November 1, Ubuntu 22.04 LTS, 24.04 LTS, 26.04 LTS, and 26.10 are still marked as affected, and the fix is still under development.

#Safety / alignment#Anthropic

336Kr · AI14:02

AI score65

Meta and Fourier Intelligence Partner to Build Humanoid Robot Prototype Max in Three Months

According to foreign media reports, Meta partnered with Chinese robotics company Fourier Intelligence to develop a humanoid robot prototype named Max in about three months, and a second-generation product has already entered the R&D stage. Max is about 1.5 meters tall and weighs 48 kilograms, is equipped with NVIDIA's Jetson Thor chip, has five-fingered dexterous hands and a display screen that can simulate human facial expressions, and needs to recognize human voices and gestures and maintain eye contact. Li-Chen Miller, Meta's Vice President of Robotics Product, was stationed in Shanghai for nearly two months to help advance the effort, and Meta is also recruiting for supplier development and mass-production preparation roles in Shanghai and Shenzhen.

Same story · 6 reports

#Industry news#Embodied AI#Meta

Ggihyo.jp13:42

AI score66

OpenAI, Google, and Microsoft will support the __usage_ai-trainin… identifier in robots.txt

On October 30, 2026, OpenAI, Google, and Microsoft announced that they will support using the __usage_ai-training identifier in robots.txt to uniformly express to multiple AI vendors whether content may be used for training. This mechanism is based on the draft specification Machine-Readable Training Preference Signal, published after discussions in the IETF AIPREF, and was submitted by Anthropic's Kevin Kelley; it is not an IETF-approved standard. The three have different implementation timelines: Google plans to support it in early 2027, Microsoft will apply it starting February 1, 2027, and OpenAI says it will implement it within the coming months; Anthropic has also begun implementation.

Same story · 2 reports

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

CChina.com Technology13:22

AI score60

OpenRouter Data: China's Large-Model Weekly Call Volume Exceeds the US for 27 Consecutive Weeks

According to calculations based on the latest OpenRouter data, last week (October 26 to November 1), the total global call volume for AI large models was 194 trillion tokens, up 3.19% week-on-week. Among them, the weekly call volume for Chinese AI large models reached 99.55 trillion tokens, up 6.43% week-on-week, while that of the US was 20.68 trillion tokens, down 7.97% week-on-week. China has ranked first for 27 consecutive weeks. Chinese models occupy four of the top five models by global call volume, with DeepSeek V4.1 Flash 1017 in first place, and MiniMax M3.1 Flash rising to eighth, with weekly call volume up 690% week-on-week.

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

SSina Tech13:19

AI score53

Fourier responds to reports of collaborating with Meta on humanoid robot development: Not convenient to reply at this time

Regarding reports that Meta is collaborating with Shanghai robotics company Fourier to develop a humanoid robot prototype, Fourier founder and CEO Gu Jie responded that it is not convenient to reply at this time. According to The Information, citing people familiar with the matter, the two parties have developed an internal humanoid robot prototype codenamed Max, weighing about 48 kilograms, and began developing a second-generation prototype, Max 2, in September; a Meta spokesperson said the collaboration is mainly for internal research and experimentation, and there are currently no plans to sell these prototypes.

#Industry news#Embodied AI#Meta

Elon confirms the scale of the Memphis Colossus 2 data center, with a year-end target of about 1.2 million Blackwell GPUs

indigo summarizes the scale of the Memphis Colossus 2 data center confirmed by Elon: Macroharder and Minihard each have 220,000 GB300s, Gun Range is planned at the same scale and is expected to come online at the end of November, and Spam has about 200,000 coming online in December, mainly for inference. The year-end target is about 1.2 million Blackwell (GB200/GB300) series GPUs. Independent tracking organizations such as Epoch AI confirm that the site currently has about 1.1 million+ H100-equivalent compute and nearly 1GW of power; 1.2 million corresponds to roughly $60 billion–$84 billion in GPU hardware costs.

Quoted postHerbert Ong · @herbertong

Macroharder takes up about 810,000 square feet. Minihard is about 312,000, and @CernBasher says it packs in a lot more compute despite the far smaller footprint. That's why he calls Minihard a product, one that keeps evolving like everything Tesla and SpaceX build. He walked through Colossus II in Memphis. Macrohard has about 550,000 GB200s, Macroharder about 220,000 GB300s, and Minihard is going up next to rows of Megapacks. A land swap clears space for a fifth data center, and a warehouse across State Line Road could become a sixth. In Brownsville, 444 acres now sit under Starbase for permitting. $SPCX

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

EElectronic Technology Application12:31

AI score64

Five major memory chip manufacturers' combined operating profit in Q3 reached approximately 32 trillion yen, surpassing the five largest US tech giants

According to QUICK FactSet data, in the third quarter of 2026, the five major memory chip manufacturers—Samsung Electronics, SK Hynix, Micron Technology, Kioxia, and SanDisk—had a combined operating profit of approximately 32 trillion yen, a 10-fold increase compared with the same period last year, surpassing the combined approximately 25 trillion yen of Alphabet, Microsoft, Amazon, Meta, and Apple. Samsung Electronics' operating profit for the quarter was 107.44 trillion won, up about 783% year on year; SK Hynix's operating profit was 83.33 trillion won, with an operating margin of 80%. The profit growth mainly came from demand for HBM from AI data centers; manufacturers shifting capacity to HBM squeezed the supply of general-purpose DRAM, and Samsung's average DRAM selling price in the third quarter rose about 20% quarter on quarter, while HBM4 sales grew more than threefold quarter on quarter.

#Industry news#English text is being prepared.

TThe Paper12:17

AI score54

Meta reportedly collaborating with Fourier to develop humanoid robot Max; Fourier responds that subsequent official announcements should be awaited

According to foreign media citing people familiar with the matter, Meta has collaborated with Chinese robotics company Fourier to develop a humanoid robot prototype named Max, and the two sides are developing a second-generation Max 2, with plans to redesign the torso and hands and add sensors to assist with going up and down stairs. Fourier told The Paper on November 2 that if there is any latest news later, it will be announced through official channels; a Meta spokesperson said the collaboration focuses on internal research and experimentation, and there are currently no plans to sell the prototype. Meta has also recently been recruiting for robot hardware R&D and supply chain positions in Shanghai and Shenzhen, and in May this year acquired humanoid robot foundation model company Assured Robot Intelligence.

#Industry news#Embodied AI#Meta

YYicai11:35

AI score56

Kioxia opens sharply lower, down over 16%, as third-quarter business outlook falls short of expectations

Kioxia, Japan's leading memory chip maker, opened sharply lower on November 2, falling 16.74% to 11,215 yen per share as of publication, with a market capitalization of 21.52 trillion yen, down 64% from its peak of 60 trillion yen in late June. Kioxia's fiscal 2026 second-quarter financial report released on October 30 showed quarterly revenue of about 2.48 trillion yen, up 453.2% year on year, but its third-quarter operating profit outlook of 2 trillion yen was below analysts' expectation of 2.35 trillion yen. Sigmaintell data shows that NAND price increases slowed in October and structural mismatches emerged: 512G SSD prices rose 12% month on month, while 256GB UFS rose only 5.2%, and the market is shifting from broad-based price increases to structural increases driven by computing power.

#Industry news#English text is being prepared.

EEast Money11:19

AI score60

OpenAI Plans to Rename Data Centers as AI Compute Campuses

According to reports, after the U.S. midterm elections, OpenAI will launch a public relations campaign that includes renaming data centers as "AI Compute Campuses." OpenAI Chief Global Affairs Officer Chris Lehane said the company is also considering setting a "speed limit" for AI development, helping the public more intuitively understand how AI improves daily life, and promoting U.S. participation in setting global AI standards. Since the beginning of this year, multiple data center projects with a total value of up to $100 billion have been forced to delay or stall.

Same story · 9 reports

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

SSina Tech11:17

AI score60

Lee Jae-myung: South Korea to invest 21.3 trillion won in AI and data centers, plus 4.6 trillion won for self-developed large models

In a speech at the National Assembly, South Korean President Lee Jae-myung said the 2027 budget bill will invest 21.3 trillion won to advance semiconductor manufacturing clusters, data centers, physical AI and the AI industry layout, and will separately allocate 4.6 trillion won for self-developing world-class proprietary large models. The draft budget's total expenditure is 820.9 trillion won (about 614.5 billion US dollars), up 12.8% from this year, with an additional 160 trillion won future fund, of which 13.8 trillion won will go to ten major strategic technology fields.

Same story · 3 reports

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

IEnglish text is being prepared.11:17

AI score64

Delaware, USA, Plans to Allow AI Agents to Establish and Operate Companies

The U.S. state of Delaware plans to relax business regulations to allow companies operated by AI agents to be registered and established, and to set up a 30-month regulatory sandbox for such AI companies (AICs), during which the agents make business decisions in a regulated environment. House Oversight Committee Chairman James Comer has written to Governor Matt Meyer expressing opposition, concerned that the arrangement would exempt well-resourced AI companies and investors from liability for reckless and harmful conduct. Andrew Baker, a law professor at the University of California, believes that Delaware's legislation is seeking a compromise that gives companies founded by AI agents legal certainty.

#English text is being prepared.#Agents

IEnglish text is being prepared.11:17

AI score55

Saudi Aramco to acquire 49% stake in HUMAIN, injecting about SAR 9.9 billion

Saudi Aramco will acquire a 49% stake in AI startup HUMAIN, with PIF retaining the remaining 51%. Saudi Aramco plans to complete the investment by transferring key AI assets and injecting about SAR 9.9 billion; the two shareholders will jointly contribute AI assets, capabilities and talent, and oversee HUMAIN's business expansion. Saudi Aramco expects to use HUMAIN's AI infrastructure to translate advanced AI capabilities into industrial applications.

#Industry news#English text is being prepared.

TThe Paper11:16

AI score65

The Paper tests multiple AI glasses: a light-blocking sticker costing less than 10 yuan can bypass the recording indicator light

The Paper reporter tested mainstream AI glasses including Huawei, Xiaomi, Rokid, Qwen, RayNeo, INMO, and Meizu, and found that most models could still record normally after the indicator light was completely covered by a light-blocking sticker costing less than 10 yuan, without triggering a blockage alarm; only a few models could not continue recording. Such light-blocking stickers are openly sold on multiple e-commerce platforms, with sales on one platform exceeding 5,000 units, and some sellers labeling them as usable for covert recording. Zhong Junhao, Secretary-General of the Shanghai Artificial Intelligence Industry Association, said that existing privacy notification mechanisms are mostly ceremonial notices; manufacturers such as RayNeo and Rokid responded that they have strengthened protections, and Rokid CEO Zhu Mingming called on industry peers to address the issue jointly.

Same story · 2 reports

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

CCailian Press11:02

AI score55

OpenAI plans to rename data centers as AI compute parks after the midterm elections

OpenAI plans to launch a public relations blitz after the U.S. midterm elections, renaming data centers as "AI compute parks" to counter resistance to AI infrastructure in many parts of the country. Since the start of this year, multiple data center projects with a total value of up to $100 billion have been forced to delay or stall. OpenAI Chief Global Affairs Officer Chris Lehane also revealed that the company is considering setting a "speed limit" for AI development, promoting public understanding of how AI improves daily life, and pushing for U.S. participation in setting global AI standards.

Same story · 9 reports

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

336Kr · AI11:00

AI score61

Meta and Fourier built the humanoid robot prototype Max in three months

Meta partnered with Chinese robotics company Fourier to complete a humanoid robot prototype named Max in just three months, and in September began development of the second-generation Max 2. Max is about 1.5 meters tall and weighs about 48 kilograms, is equipped with NVIDIA's Jetson Thor chip, and is customized based on Fourier's GR series hardware, used to test how Meta's agent Muse performs in real-world environments. Meta said the collaboration is mainly for internal research and experimentation, with no plans to sell; the U.S. FCC restricted imports of new Chinese humanoid robots in July, and in August proposed reducing the number of test exemptions from 4,000 units to 40.

Same story · 6 reports

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

VEnglish text is being prepared.10:42

AI score55

Meta Teams Up with Fourier to Develop Humanoid Robots, Second-Generation Max 2 Prototype R&D Already Underway

According to The Information, Meta is collaborating with Fourier to develop humanoid robots; the two parties have completed the first prototype, internally codenamed Max, and in September of this year launched R&D on the second-generation Max 2. The Max prototype took about three months to complete, stands approximately 1.5 meters tall, weighs about 48 kilograms, is equipped with the NVIDIA Jetson Thor computing platform, and features five-fingered dexterous hands, a speaker, and a display device capable of simulating human facial expressions. In the collaboration, Meta is responsible for defining perception and interaction requirements in home environments, while Fourier provides the hardware platform and engineering R&D support; the second generation is planned to redesign the torso structure, enhance the dexterous hands' manipulation capabilities, and add a projection device and sensors to assist with climbing stairs.

Same story · 6 reports

#Industry news#Embodied AI#Meta

TThe Elec10:40

AI score71

Forever Security in Cursor, Copilot, Claude Desktop, VS…

Security startup Forever Security discovered embedded browser vulnerabilities in five AI development tools—Cursor, GitHub Copilot, Claude Desktop, VS Code, and OpenAI Codex—and named them Embrace. These vulnerabilities can lead to remote code execution in Cursor, data theft in Claude Desktop, Codex, and VS Code, and address bar spoofing in GitHub Copilot. Cursor patched the issue on October 1, and GitHub fixed it on its own via the v1.1.29 patch on October 13; according to The Register, the Codex and VS Code vulnerabilities remained unpatched at the time of publication, with OpenAI saying it is aware and working on a fix, while Microsoft dismissed the VS Code report as invalid.

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

TThe Elec10:40

AI score60

Nvidia to Become Naver's Third-Largest Shareholder with About 4.5% Stake

Nvidia will subscribe to 7,241,564 newly issued Naver shares through a third-party allotment at an issue price of 204,500 won per share, and is expected to hold about 4.5%, becoming Naver's third-largest shareholder; Naver Chairman Lee Hae-jin's stake will fall from 4% to 3.8%. This investment stems from a three-party cooperation among Naver, Nvidia, and Brookfield. The three parties plan to build an AI factory based on Nvidia DSX centered on Naver's hyperscale data center GAK Sejong, with capacity starting at 55MW, expanding to 200MW and ultimately reaching 1GW. Naver has also signed an agreement with Brookfield to obtain approximately 13.3 trillion won in computing infrastructure; Brookfield will build GPUs and data centers through an SPC, and Naver Cloud will use the related facilities.

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

EElectronic Technology Application10:29

AI score55

Report by the China Center for Information Industry Development says China's AI inference data volume has exceeded training data volume for the first time

The China Center for Information Industry Development released the "Top Ten Trends in Innovative Development of New Domains and New Quality" on the 31st, showing that China's AI inference data volume has exceeded training data volume for the first time. The report says that as of June 2026, the average daily token call volume exceeded 175 trillion, an increase of more than 1,000 times compared with the beginning of 2024, and the iteration cycle of top large models has been compressed from several months to several weeks or even several days. The report also mentions that China has cumulatively built more than 500 excellence-level smart factories, and domestic computing power and large models have been deployed in more than 1,000 application scenarios across 20 industries including steel and automobiles.

Same story · 2 reports

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