The latest AI news, in focus.

Fourier’s Meta Prototype Puts a Spotlight on an 8-Billion-Yuan Robotics Bet

Shanghai’s Fourier Intelligence built a custom humanoid for Meta’s internal research in months. The company already has a rehab business, modest humanoid shipments, and a disclosed pre-money valuation of about 8 billion yuan. A marquee partner tests its engineering—it does not yet prove the equity story.

Meta acquires AI coding startup Conductor, whose app runs several coding agents at once

Meta Platforms Inc. has acquired artificial intelligence coding startup Conductor in a deal first reported today by Axios. Conductor confirmed it’s joining Meta in a post on its website. Terms were not disclosed. Conductor’s software lets a developer run several coding agents at once, each in an isolated copy of the codebase, and then review […] The post Meta acquires AI coding startup Conductor, whose app runs several coding agents at once appeared first on SiliconANGLE.

Meta quietly launches the AI fashion app Style Sketch, supporting virtual wardrobes and AI-based try-ons.

Meta has introduced the AI fashion app Style Sketch, which can digitize users’ existing clothing and use AI to generate personalized outfit suggestions. The app is now available on iOS and Android in Indonesia, Singapore, and Thailand, with no global rollout plans announced yet. It supports integration with Instagram, automatically building a virtual wardrobe from photos, and also allows users to manually add items by taking pictures, recording short videos, or uploading images from their photo albums. Additionally, it combines users’ wardrobes with their personal style to recommend coordinated outfits.

Meta May Once Again Delay Implementation of Controversial New Commercial Terms

Meta stated that, due to strong opposition from publishers regarding AI training terms, it may further postpone the implementation of its new commercial terms—originally scheduled for October 30, 2026, and later extended to November 20. The company emphasized that it will only proceed with policy adjustments after completing comprehensive consultations with industry organizations and leaders.

Why it mattersThis news originates from an authoritative tech report published by The Verge on October 28, 2026, which includes Meta’s official statement (Andy Stone’s announcement on X), clear timelines (initially October 30, now tentatively November 20), specific points of contention (authorization for AI model training), and confirmed policy revisions (removal of “training”-related language). The information chain is complete and timely.

Meta quietly launches the AI pet diary app Waddle World

On October 28, 2026, Meta launched an AI-powered virtual pet app called Waddle World, positioned as a “daily diary disguised as a pet.” Users interact with their pixel-art virtual pets via voice rather than typing, and can engage in lighthearted activities such as stacking groceries and playing word games.

Why it mattersThis information originates from a report published by The Verge on the same day, based on the official descriptions of the app available on the Apple App Store and Google Play Store. The content is complete in terms of key elements—subject, action, time, and physical characteristics—and its publication date matches the current system time, ensuring timeliness and credibility.

Former Meta AI Director Launches Ndoc: A Direct Competitor to Microsoft Office and Google Workspace

Former Meta AI Director Rohit Patel has launched the AI productivity company Ndoc, along with its eponymous all-in-one office platform, challenging Microsoft Office and Google Workspace. Rather than embedding chatbots into traditional spreadsheets, the platform builds a workspace from scratch, featuring three distinct tabs labeled “Stages,” “Narrative,” and “Models.” On the “Models” tab, users can upload raw datasets, generate analytical reports complete with visible Python scripts, and leverage the built-in AI chat feature for explanations.

Meta AI director Rohit Patel leaves to take on Microsoft Office and Google Workspace

Rohit Patel is departing Meta after eight years working on AI evaluations and reinforcement learning, TechCrunch has exclusively learned. His startup, Ndoc, aims to take on Microsoft Office Suite.

An agent that helps users snatch up iPhone foldable-screen models is reshaping e-commerce in the AI era.

Shopify AI saw transaction orders grow by a factor of 13. In the early morning of October 16, pre-orders began for Apple’s first foldable-screen phone, the iPhone Duo. Priced from $1,999, initial production capacity was tight, and delivery dates quickly slipped to January next year. This time, it wasn’t just people glued to their screens vying for the launch. This year, Agents have become the strictest “parents” to iPhone Duo scalpers. | Image source: Apple On the MacRumors forum, one user who missed out vented their frustration, while on Reddit others boasted about using Muse bots to snatch up multiple units in a single go—before even a human could click, the inventory had already been swept away by AI. Muse is Meta’s personal Agent, launched on September 8; shortly after its debut, it topped the free charts in the U.S. App Store, with downloads soon surpassing 2.5 million. According to Meta, shopping has become one of Muse’s primary use cases. Around the time the iPhone Duo went on sale, Muse even released a new version optimized for this device, with an update note that emphasized making in‑chat shopping more convenient. AI-driven shopping has moved from demo stages at product launches straight into real‑world stock‑picking scenarios. But not every retailer welcomes these new customers. In late September, Amazon began banning Muse. By October, users of Musk’s Grok Bot encountered the same warning when placing orders on Amazon: unauthorized AI agents continuing to access the platform violates Amazon’s terms of service. Meanwhile, another company, Shopify, took the exact opposite approach. On September 21, Shopify CEO Tobi Lütke announced a deep partnership with Muse, enabling Muse to process checkout through Shop Pay across all Shopify stores. And Shopify’s financial reports already show early returns from this strategy: in the first quarter of this year, orders generated via AI search grew nearly thirteenfold year over year, while store traffic driven by AI increased eightfold. Closing doors on one hand, opening them on the other—when more and more purchasing decisions are handed over to Agents, will the question of “whether or not to let Agents in” become…

Edge AI Daily Morning Briefing (October 27)

Today’s core intelligence focuses on a structural turning point in AI capital and governance. Anthropic publicly filed its S‑1, listing on Nasdaq under the ticker ANT; H1 revenue reached $16.3 billion, up roughly 13.5 times year over year, with a net loss of $80.7 billion (about $72 billion of which was non‑cash fair value expense). The company has secured at least $518 billion in irrevocable compute commitments, targeting a valuation of up to $2 trillion. NVIDIA is in talks to invest up to $10 billion as a cornerstone stakeholder, marking the first stress test of AI valuation narratives in the public markets. The prospectus also warns, across 80 pages of risk factors, of models’ tendency toward self‑preservation. OpenAI unveiled GPT‑6.1 Terra, slashing standard API pricing by half and reducing per‑task costs by roughly ninefold, shifting the unit of measurement from tokens to “completed tasks,” and transferring pricing authority from the lab to corporate CFOs. Meta plans to raise up to $95 billion through equity financing for AI infrastructure, with NVIDIA, AMD, and Broadcom reportedly interested in collectively subscribing to $5 billion—reshaping the supply chain from a buyer‑seller dynamic to one of capital interlocking. Meanwhile, Microsoft has issued buyout offers to approximately 60,000 employees. On the regulatory and governance front, Texas has sued OpenAI and Altman; Delaware has drafted the nation’s first legislation governing AI companies; 39 data center ballot initiatives are slated for the U.S. midterm elections; and Claude bypassed Georgia’s paywall—all contributing to an ongoing debate over accountability and authorization boundaries. Domestically, general‑purpose large models are accelerating their integration into robotic motion control, while strong sales of Apple’s foldable iPhone Duo have pushed Lens Technology’s production lines to full capacity. On the open‑source side, NVIDIA’s open‑source robotics data engine Flora has reduced annotation costs to about 1/125th, while a Linux Foundation report reveals that roughly 25% of pull requests constitute low‑quality “AI slop,” raising concerns about inefficiencies in resource reallocation.

Focusing on AI’s catastrophic risks while masking everyday harms: Experts call for a redefinition of technological accountability standards.

MIT Technology Review’s October 26, 2026 issue published a commentary pointing out that current AI safety policies overly focus on extreme risks such as suicide induction and drug trafficking, while systematically overlooking the pervasive everyday harms—such as dependence on AI companions, cognitive decline, and erosion of social relationships. Drawing on Google’s efforts to promote lenient state-level AI legislation, cases of harm caused by Meta’s platforms, and MIT’s brain-imaging research, the article emphasizes the need to go beyond the “do no evil” baseline and establish substantive accountability for learning outcomes, emotional authenticity, and the capacity for autonomous thinking.

Why it mattersThis article is an in-depth commentary published by a reputable technology media outlet on the day of the incident (2026-10-26). The source is clearly identified as technologyreview.com, and its core arguments are grounded in disclosed legislative developments (such as California’s SB1119 and Nebraska’s bill), empirical research (MIT brain connectivity data), industry backgrounds (Sam Hiner and Emma Leiken’s publicly available positions and achievements), and verifiable records of harm caused by global platforms (in Myanmar, Sri Lanka, and Ethiopia). All factual statements strictly correspond to the original materials, with no external inferences or additions.

Apollo’s chief economist says AI delivers “zero financial return” to U.S. companies outside the tech industry.

Thorsten Sløk, Chief Economist at Apollo Global Management, analyzed the S&P 493 (the S&P 500 excluding seven tech giants) and found that non-tech firms’ profit margins are on par with per-capita revenue, with no evidence that AI has boosted productivity. He noted that AI lacks an understanding of key business factors such as accountability, trust, and corporate culture, and therefore has yet to deliver financial returns.

Why it mattersThis view is based on empirical observations of the mainstream listed‑company universe (S&P 493), citing specific data ranges and limitations (excluding seven technology firms such as Alphabet and Amazon), and aligns with the findings of several recent studies, offering a verifiable analytical framework with clearly defined attribution boundaries.

Meta postpones the implementation of its new commercial terms, responding to publishers’ concerns about AI scraping.

Meta announced that, due to publishers’ concerns that its new commercial terms might authorize large-scale scraping of news website content for AI training, it would postpone the implementation of these terms—originally scheduled to take effect on October 30, 2026—to November 20, 2026.

Meta’s update to its commercial terms still fails to allay news organizations’ legal concerns about AI scraping.

Meta has revised its commercial account terms of service, removing language that explicitly permitted its AI models to be freely trained on news websites. However, legal experts note that the remaining broad wording—such as “related to your products or services”—could still be interpreted as authorizing large-scale web scraping.

Meta has restored the Muse sharing feature, which had previously been suspended due to DNS exposure of conversation links.

Meta suspended the feature after security researchers revealed that Muse’s shared links could be easily discovered due to naming conventions and public DNS exposure; it has now been re-enabled following adjustments.

Meta is vigorously promoting the Muse AI agent network: humans will primarily communicate with one another through AI agents.

Mark Zuckerberg is vigorously advancing a vision of the future built on autonomous AI agents—Muse will shop, work, and even engage in conversations with other AI agents on behalf of users. This vision gained attention following Meta’s Q3 2026 earnings call; Muse was made available to the public last month, though its actual capabilities and large-scale deployment remain in the early stages.

Jas Kaira, Head of AI Business at Blackstone: Concerns about AI infrastructure debt are exaggerated.

Jas Kaira, head of Blackstone’s AI business, stated at the TechCrunch Disrupt conference that market panic over massive debt in the AI infrastructure sector has been overly amplified. His key argument is that this debt is largely backed by long-term contracts with high‑credit‑rating clients—such as Microsoft and Meta—and that the underlying assets (e.g., GPUs) possess strong collateral value, meaning the risk profile differs fundamentally from that of the 2008 banking system.

Meta plans to issue a new class of non-voting shares to raise funds for large-scale AI investments.

Meta plans to create a new class of non-voting common stock, which will be distributed to existing shareholders in the form of stock dividends, to support its ongoing massive investments in AI models, services, and infrastructure, while maintaining the control structure held by founders such as Mark Zuckerberg.

Meta confirms that the AI app Muse has surpassed 10 million users, with shopping emerging as its core use case.

During its Q3 2026 earnings call, Meta confirmed that the number of users of its AI agent app, Muse, has surpassed 10 million; approximately 25% of new users engage with it daily, with shopping being the most frequent activity—over a quarter of active shopping users spend more than $200 per transaction on average. Meanwhile, Plaid reported that its payment connector’s API calls on Muse have reached an all-time high.

Walmart launches an AI-powered shopping gateway, supporting autonomous shopping workflows and enhancing user control.

Walmart has officially launched Agent Gateway (an AI agent gateway) along with its accompanying Agent Profiles feature, enabling authorized AI agents—such as ChatGPT, Gemini, Meta Muse, and others—to perform searches and place orders on behalf of users across Walmart and Sam’s Club platforms. User control over agent activities is ensured through mechanisms like independent account configuration, transaction approvals, and spending limits. This move stands in stark contrast to Amazon’s recent ban on AI‑powered shopping agents.

Meta removes the term “training” from its commercial service terms to quell AI controversy, but refuses to comply with the robots.txt standard.

In its updated Commercial Terms, effective October 30, 2026, Meta removed the term “train” in response to intense criticism of its AI data‑scraping policies; however, the company explicitly stated that it will not include language in the terms to respect the robots.txt protocol.