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LatestWIRED Investigation Finds Over 400 AI Apps Concealing Sexual Abuse Deepfake Features

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  1. Wired AI
    AI score79

    WIRED Investigation Finds Over 400 AI Apps Concealing Sexual Abuse Deepfake Features

    A WIRED investigation found a network of more than 400 linked domains and apps that appear on the surface to be everyday tools such as pet portraits, language learning, and AI fitness coaches, but under specific conditions load web interfaces for generating explicit sexual images and videos, including templates such as "bedroom rape" and "threatening knife." After tracking thousands of explicit deepfake ads on Meta's platforms, researchers found that these links pointed to apps in Apple's and Google's app stores; one app called DiffAI had more than 100,000 downloads on the Play Store, and another 27 such apps were still listed on Google Play in September with cumulative downloads exceeding 350,000. The investigation indicates that these apps appear to be operated by Chinese developers and the Hong Kong-registered entity KeLing Technology Limited; Apple removed 19 apps after WIRED inquired, and Meta said it had taken action against the relevant advertising accounts and pages.

    Why read thisThe investigation detailed how more than 400 domains and apps disguised as everyday tools bypass app store review and spread through advertising.

  1. 36Kr · AIOpinion
    AI score76

    Character.AI, with 28 million users, files for bankruptcy protection: why is it hard for AI companion apps to monetize?

    Character.AI recently filed for bankruptcy protection and may cease operations if no viable sale plan emerges; the company, valued at $1 billion in 2023 with monthly active users once around 28 million, spent about $56.1 million on compute from January to August 2026 and still loses about $8 million to $9 million per month. The article argues that the free version already meets core needs and that emotional companionship is hard to convert into willingness to pay, while the more conversations there are, the higher the inference costs; together with minor safety and regulatory requirements such as China's Interim Measures for the Administration of Anthropomorphic AI Interaction Services, these factors are squeezing the space for such products. The article also compares transformation attempts such as Maoxiang's monetization through interactive storylines, membership fees plus virtual top-ups, Zeta's shift to story-led experiences, and Linky's addition of a gacha mechanic.

    Why read thisThis article breaks down the structural dilemmas of AI companion apps from three angles—users' willingness to pay, inference costs, and regulation—and compares transformation paths such as Maoxiang and Zeta.

  2. 36Kr · AI
    AI score81

    OpenAI's new funding target cut from $30 billion to $20 billion

    According to multiple media reports, OpenAI has cut its new funding target from $30 billion to $20 billion, with its valuation dropping from $1.4 trillion to $1.25 trillion. As of Friday's commitment deadline, actual investment commitments stood at about $11 billion, less than half of the original target. This round is led by a UAE consortium, with UAE state-owned technology funds such as MGX as core investors, and Founders Fund, Andreessen Horowitz, SoftBank and others participating; OpenAI plans to expand fundraising to family offices and high-net-worth individual investors.

    Why read thisThe funding target was cut from $30 billion to $20 billion, with undersubscription and the market's repricing of AI capital expenditure listed as a sample for observing the AI financing cycle.

  1. Google DeepMindFirst-partyProduct release
    AI score62

    Google DeepMind's PlanAssist to expand to 12 UK local planning authorities

    PlanAssist, an AI planning tool developed by Google DeepMind in collaboration with the UK government, will expand to another 12 local planning authorities in England, bringing the total number of participants to 15. In early pilots in Barnet, Camden and Dorset, the tool reduced the average time planning officers spent on assessment tasks for household residential applications by 58%, and more than 70% of generated reports were approved by officers without modification. Built on Gemini, PlanAssist verifies application materials and drawings, checks against heritage protection restrictions and local and national planning policy, reviews prior objections, and drafts reports with citations, while the final decision remains with planning officers. The tool has been in pilot since June and is now entering a 12-month Beta phase; if testing goes smoothly, the UK government plans to make it available to all local councils in England in 2027.

    Abstract 3D illustration of miniature houses on layered, wavy terrain with architectural plans in the foreground.

    Why read thisThe original text provides data from the pilot showing a 58% reduction in assessment time and that 70% of reports required no modifications, which can be used to assess how AI-assisted public approvals are being implemented.

  2. Phoenix Tech
    AI score80

    Apple Chooses Qwen for Siri Integration, Alibaba AI Achieves Major Result

    According to the announcement on Apple's official website, Qwen will be integrated into Siri, Writing Tools, and Visual Intelligence, rolling out with iOS 27.3 in December; this update does not include Siri AI or the next-generation features announced at WWDC. The author traces the 20-month process from Joseph Tsai's public confirmation of the partnership in February 2025 to the filing in July and the announcement on October 31, and argues that what Apple values is Qwen's complete range of model sizes spanning on-device to cloud, along with Alibaba Cloud's private deployment capabilities. The article also mentions IDC data showing that Alibaba Cloud held a 46.6% share of China's large language model MaaS market in the first half of 2026.

    Why read thisThe article outlines the timeline of Apple's partnership with Alibaba and the three screening hurdles, and uses the Olympics case to illustrate Alibaba's accumulated capability for system-level integration.

  3. Rohan Paul
    AI score78

    Bloomberg: Alphabet, Meta, Microsoft, Amazon and Oracle's future data center commitments exceed $3 trillion

    Bloomberg data shows that the total future data center commitments held by Alphabet, Meta, Microsoft, Amazon and Oracle exceed $3 trillion, of which $1.3 trillion is leases. Alphabet alone accounts for more than $1 trillion, nearly 8 times the total from a year ago, covering technology equipment, energy and leases; Meta ranks second at $810 billion, nearly half of which consists of data center leases that have not yet broken ground and have terms of up to 30 years.

    Why read thisBloomberg data shows the scale and structure of the future data center commitments of five tech giants, allowing comparison of each company's differences in computing power investment.

  4. Google BlogFirst-party
    AI score67

    Google Receives First AI Reply from Project Suncatcher Prototype Satellite's On-Orbit TPU

    Google received the first reply from the Project Suncatcher prototype satellite, with the on-orbit data-center-class TPU successfully running the open Gemma 4 model and returning a haiku about space. The satellite was launched on October 1, and the host and TPU tray have previously completed power-on and early machine learning tests. Next, Google will test how the TPU performs under orbital thermal stress and radiation exposure, paving the way for the 2027 two-satellite interconnection goal.

    Why read thisGoogle has for the first time run Gemma 4 on an on-orbit TPU and received a model reply, allowing readers to learn about the current progress of this long-term research line of space AI compute.

  5. Tomasz Tunguz's blogOpinion
    AI score65

    Tomasz Tunguz: Who Will Cross the Trillion-Dollar Revenue Chasm First

    Tomasz Tunguz analyzes the $1 trillion revenue targets separately proposed by Andy Jassy and Elon Musk. Extrapolating at current growth rates with 15% annual decay, Google Cloud and SpaceX will reach $250 billion in quarterly revenue ($1 trillion annualized) in 2030, with AWS following in 2032. He notes that the market has sold off some cloud providers out of concern that cash flow from legacy businesses cannot sustain capital expenditures; Google's search advertising growth has already slowed from 19% in Q1 to 12% in Q3, and AI Mode's monetization rate is lower than that of traditional search. Microsoft is the only hyperscaler to boost ARPU through AI faster than seat growth slows, while ServiceNow's market value has fallen 29% on concerns that its seat-based business will be eroded by AI.

    Why read thisThe article uses quarterly data from four cloud providers to project a path to trillion-dollar revenue, and points out that the erosion of legacy cash cows by AI is the key variable for crossing the chasm.

  1. 36Kr · AI
    AI score81

    Axiom's multi-agent system formalizes the classification theorem of finite simple groups in 24 days

    The Axiom team used the multi-agent system AxiomProver to formalize the approximately 15,000-page proof of the classification theorem of finite simple groups (CFSG) into Lean code within 24 days, producing a 43.1-million-line codebase. During the process, the AI recorded hundreds of anomalies, 34 of which were major logical deviations, including a key closure assertion in John Walter's 1986 paper that does not hold, for which the AI provided the counterexample PSL₂(49). The team then contacted group theorists Richard Lyons and Ronald Solomon, and AxiomProver proved a new theorem, Preservation of simple tops, to fill the gap.

    Why read thisAxiom used a multi-agent system to formalize the classification theorem of finite simple groups in 24 days and pointed out logical gaps in the original proof, allowing readers to understand the concrete path by which AI participates in mathematical verification.

  2. Leiphone
    AI score80

    AMD Acquires World Labs for $8.2 Billion; Fei-Fei Li to Serve as AMD Executive Vice President and Chief Scientist

    AMD announced an all-stock acquisition of World Labs, founded by Fei-Fei Li, for approximately $8.2 billion. After the deal closes, Fei-Fei Li will serve as AMD Executive Vice President and Chief Scientist, reporting directly to Lisa Su, and World Labs' roughly 70-person team will be integrated as a relatively independent research unit. The article reviews Fei-Fei Li's three directional choices—from ImageNet, to AI democratization, to spatial intelligence—and notes that this acquisition is about 52% higher than World Labs' $5.4 billion valuation after its February 2026 Series C funding round. The author believes that what comes next is whether the performance gains of Atlas and Marble on MI450 can continue the curve of the 4x speedup on MI325X, and whether other spatial intelligence teams will consequently shift to AMD hardware.

    Why read thisThe article reviews Fei-Fei Li's three directional choices from ImageNet to World Labs, and lays out two concrete criteria for judging whether spatial intelligence succeeds following the AMD acquisition.

  3. East Money
    AI score76

    DeepSeek's second funding round details revealed: raised 105.5 billion yuan, with nearly 30 institutions including Tencent and ChangXin Memory Technologies participating

    According to The Information, DeepSeek's second funding round has raised 105.5 billion yuan (approximately 15.8 billion US dollars), attracting nearly 30 investors, with state-owned capital contributing about 27%, a sharp increase from 2% in the first round. Tencent invested 10 billion yuan in each of the two rounds; CATL and its chairman Zeng Yuqun invested 5 billion yuan and 10 billion yuan in the two rounds respectively; and industrial parties such as ChangXin Memory Technologies, SMIC, vivo, Meituan, Geely, Midea, Luxshare Precision, Trip.com, and Xiaohongshu are also among the investors. The report, citing people familiar with the matter, said that rising prices for Nvidia's high-end chips and concerns about an AI bubble were the reasons DeepSeek doubled the size of its fundraising midway.

    Why read thisThe funding details disclose the composition of investors and changes in the share of state-owned capital, which can be used to observe DeepSeek's capital structure and the extent of industrial-party participation.

  4. QbitAI
    AI score76

    PSI claims its AI system has cracked 5 open quantum problems

    Physical Superintelligence (PSI), founded less than two months ago, claims that its self-developed AI research system Emmy has achieved results on 5 open problems in quantum information theory, with the paper, Lean formal proofs, and verification code published on GitHub for review. These 5 problems come from the open quantum problems catalog established by German physicist Reinhard Werner in 1999, spanning five directions: entanglement purification, quantum field theory, high-dimensional quantum communication, quantum channel capacity, and quantum causality, among which OQP 2, OQP 12, and OQP 27 were included as early as the beginning of this century. Emmy decomposes difficult problems into verifiable mathematical sub-hypotheses, then hands them to the Lean formal proof assistant, symbolic computation engines, and high-precision verification code for screening; a result is only deemed established once compilation passes. PSI emerged in September this year and has completed a $58 million seed round led by Breakthrough Energy Ventures.

    Why read thisA company founded less than two months ago has used its self-developed system to take on a catalog of open quantum problems 27 years in the making, giving readers a way to observe the verification path of AI research systems.

  5. Waymo：BlogFirst-party
    AI score60

    Toyota and Waymo Deepen Autonomous Driving Cooperation, Testing bZ4X Autonomous Fleet in Japan in 2027

    Toyota and Waymo announced that their autonomous driving cooperation has entered its next phase, with initial testing and validation of a Toyota bZ4X autonomous fleet to begin in Japan in 2027, followed by expansion to the UK and other Waymo operating markets over the following years. The vehicles will be produced at Toyota's Takaoka Plant in Toyota City, Aichi Prefecture, with everything from complete vehicle assembly to the integration of Waymo's autonomous driving hardware completed at the same plant. Waymo co-CEO Dmitri Dolgov said that in Waymo's operating areas, its rate of serious injury crashes is up to 20 times lower than that of human drivers.

    Why read thisThe original text provides the timeline and production arrangements for the Toyota-Waymo cooperation, allowing readers to gauge the pace of robotaxi deployment in Japan.

  6. Huxiu
    AI score77

    Binance hot wallet hacked for approximately $5.8 billion: a retrospective of the largest exchange theft in crypto history

    In the early hours of October 30, 50 EIP-7702 authorizations were submitted to a hot wallet labeled "Binance 14" by Binance; 3 minutes and 24 seconds later, 167,464 ETH, 1.615 billion USDT and 63 types of tokens were swept away, with cross-chain losses of $5.5 billion to $6.2 billion. Bitcoin fell below $78,500 and Ethereum lost the $2,250 level; liquidations across the network totaled $629 million in one hour, issuers including Tether and Circle froze assets, and Binance verified a total of $3 billion in frozen funds. Shenyu's retrospective stated that no contract vulnerability was seen on-chain, the private keys remain in Binance's hands but the malicious authorization has not been revoked, and the hacker may have induced the signing of a Type-4 transaction within the signing or operations pipeline.

    Why read thisThe retrospective reconstructs how the attack was carried out via EIP-7702 authorization and offers the technical judgment that the flaw lay in the signing process rather than in a contract vulnerability.

  7. CNBC Technology
    AI score76

    Google adjusts its cloud business strategy, selling TPUs externally through partners such as Oracle

    Alphabet announced that Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of Google's infrastructure. Google had previously opened TPUs to external data centers in the second quarter, and analysts expect Google Cloud revenue to grow about 90% year over year. TD Cowen forecasts TPU sales of $9.4 billion in the second half of this year and $62.5 billion in 2027, while Wells Fargo expects about $9 billion in the third quarter and $99 billion next year; Anthropic reached an agreement last October to use up to 1 million TPUs, and OpenAI also plans to purchase TPUs from Google.

    Why read thisFor the first time, Google is selling TPUs outside its own data centers, giving readers a way to observe its impact on the AI chip market landscape dominated by Nvidia.

  8. Unite.AI
    AI score86

    CrowdStrike says VAPOR PANDA attacked more than 200 organizations using the DeepSeek-driven ARTEX framework

    CrowdStrike's report states that the China-linked group VAPOR PANDA used an AI-driven intrusion framework called ARTEX, built primarily on the DeepSeek large language model with another commercial model as a secondary component, to target more than 200 organizations in at least 14 countries over 11 days starting October 17, 2026, and confirmed post-compromise activity at 9 of them. ARTEX consists of a main agent and planning and execution sub-agents that share a fact and goal graph; in a single intrusion the planning agent consumed about 1.4 billion input tokens, and operators issued commands in Chinese and intervened at key junctures. CrowdStrike also says the group deployed the BLOODALCHEMY backdoor at some targets, and predicts that China-linked adversaries will increasingly adopt such agent frameworks over the next 12 months.

    Why read thisThe CrowdStrike report discloses the division of labor and scale of an AI agent framework in a real intrusion, offering insight into how automated attacks operate.

  9. 21ic Electronics Network
    AI score76

    US Department of Justice Opens Inquiry into Nvidia's $12.9 Billion Acquisition of Hugging Face

    The US Department of Justice has opened an inquiry into Nvidia's $12.93 billion acquisition of Hugging Face, assessing the deal's impact on AI competition, with the core focus being whether the transaction would give Nvidia control of a fundamental distribution point for AI models and software. Nvidia announced the acquisition on September 3, 2026, with consideration including approximately $11.9 billion in cash and up to $1 billion in employee retention equity incentives, and the deal is expected to close in the first half of 2027. Hugging Face hosts more than 3 million AI models and 500,000 datasets, serving over 18 million developers and 200,000 enterprises.

    Why read thisThe article places the DOJ inquiry within the thread of Nvidia's multi-year antitrust investigation, explaining that regulators' real concern is a single chipmaker gaining control of the model distribution gateway.

  10. X.PIN
    AI score80

    Chinese Doctors Implant Brain-Computer Interface in Woman Blinded by Retinitis Pigmentosa

    Chinese doctors implanted a brain-computer interface in a 66-year-old woman who was blinded by retinitis pigmentosa, transmitting camera signals directly to her visual cortex. She can now walk independently, read text, and see changes in her grandson's height.

    Why read thisThis report provides specific recovery outcomes following the brain-computer interface implant, which can serve as a reference for progress in visual reconstruction brain-computer interfaces.

  11. CognitionFirst-party
    AI score60

    Cognition Announces Acquisition of Corridor

    Cognition announced the acquisition of Corridor and called securing global software security the most important issue in the technology field today. The tweet also includes links to announcements posted by jackhcable and AshwinRamaswami.

    Why read thisCognition officially announced the acquisition of Corridor, positioning software security as the most important issue in the current technology field.

  1. Phoenix Technology
    AI score83

    Axiom Math uses dozens of Agents to formalize the classification theorem of finite simple groups in 24 days, generating 43.1 million lines of Lean code

    Axiom Math announced that dozens of AI Agents organized by human mathematicians and engineers completed the Lean formalization of the classification theorem of finite simple groups within 24 days, generating approximately 43.1 million lines of code and 2.05 million formalized statements, covering 715 references. During the process, the Agents found 34 deviations in the literature, including a counterexample to a closure assertion in John Walter's 1986 study of unbalanced group theorems, and participated in constructing and formalizing a new result, "Preservation of simple tops," which was written into a 35-page paper as Theorem 2.3. The project has been uploaded to GitHub, with a declaration that the final proof contains no sorry and relies only on standard axioms; the repository's review status is team self-assessment.

    Why read thisThe original text fully documents the process by which Axiom Math used dozens of Agents to complete the Lean formalization of the classification theorem of finite simple groups within 24 days, and provides details of gaps in older literature and new theorems.