All AI updates

Omdia estimates that AI PC penetration will surge to 60% by 2027, but in reality, buyers aren’t purchasing them for AI.

Omdia forecasts that the share of AI‑enabled PCs will rise from 33% in 2025 to 60% in 2027 and 79% by 2030, with analysts touting widespread adoption. However, survey data reveal that only 9% of respondents cite AI features as their primary reason for upgrading, while 62% do so because their current device has become slow, broken, or they simply want a better model. Furthermore, 69% say they would be willing to pay a premium for on‑device AI; yet when it comes time to actually spend, AI is far from being a decisive factor, highlighting a stark contrast between strong supply and tepid demand.

XHEART’s large-model chip, the X7 Ultra, has delivered impressive results, with cumulative shipments exceeding 200,000 units.

On October 29, XHEART (Xin Xin Hang Tu), a developer of next-generation large‑model autonomous driving chips, unveiled its flagship X7Ultra chip. Designed as a deep custom solution for end-to-end autonomous driving large models, the chip serves as a core computing platform. According to the company, the X7 series has achieved cumulative shipments exceeding 200,000 units within eight months of mass production, demonstrating strong market performance; it is currently deployed in ten vehicle models, with ongoing expansion of partnerships with automakers and broader market collaboration.

Starbucks plans to introduce AI technology at its drive-thrus to improve order accuracy and service efficiency.

Starbucks is considering integrating artificial intelligence into its drive-thru service to improve order accuracy and efficiency. According to a Bloomberg report on October 30, Starbucks CEO Brian Niccol stated during an analyst call that the company plans to pilot AI models running in the backend to help baristas enter customer orders more accurately and efficiently. The technology aims to reduce the operational burden on staff, allowing baristas to focus more on interacting with customers while shortening both ordering and preparation times.

You can generate and edit Google Docs files directly in Gemini chats now

Now you can generate, preview, and edit PDFs, Google Docs, Google Sheets, slide decks, Markdown files, TXT files, and code directly within Google Gemini. The new file editing capabilities are available starting today for all Gemini users, and while PDF previews/editing works on both the web and mobile, all other file formats are only in […]

Granola crunches up a dictation feature to compete with Wispr

Uno reverse! After Wispr added meeting notes to its dictation app, Granola is adding dictation to its meeting notetaker. The voice AI wars are getting interesting.

Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials

Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These...

Specifically designed for end-to-end large models: XinXin Hangtu unveils the X7 Ultra intelligent driving chip, marking China’s first mass-produced Armv9 automotive-grade CPU.

On October 29, XHEART XinXin Hangtu unveiled its next-generation intelligent driving large‑model chip, the X7Ultra. In response to the trend of intelligent driving evolving from multiple small models toward “end-to-end large models,” the company adheres to the philosophy of “large models define the chip,” starting from the underlying requirements of real‑world production‑ready models to reverse‑engineer and redesign the computing architecture, storage solutions, and data‑flow mechanisms, while also leaving room for future model evolution. The article also discusses core computing power and architectural design.

GitHub launches Copilot Fusion, enabling automated orchestration across multiple models to boost coding efficiency and cost-effectiveness.

GitHub unveiled Copilot Fusion, an intelligent orchestration layer, at Universe 2026. It can automatically route and combine models from OpenAI, Anthropic, Google, and others to complete coding tasks, eliminating the need for developers to manually select models. By integrating existing automated model-selection techniques with Project HydraFusion, which was previewed in September, the system—once the model selector is enabled—automatically adopts execution modes such as single-model, cascading, or review-based approaches, depending on the task’s complexity.

Chrome starts “scanning your inbox” to help you fill out forms: Gemini turns Gmail into a form-filling assistant.

Google is shifting Chrome’s autofill from “remembering” to “finding”: powered by Gemini and personal intelligence, Chrome can read Gmail and proactively suggest order numbers, tracking numbers, flight booking IDs, and more based on the current form. This enhanced form-filling feature will be rolled out in phases to U.S. users starting at the end of October, covering desktop Chrome as well as iOS and Android users who have enabled Gemini, aiming to break the decade-old habit of relying on users to manually save their names and addresses.

Will 150,000 extras be completely replaced by AI? ByteDance’s Volcano Engine responded late at night: The online claim that “feeding large models” is being done is seriously inaccurate!

Rumors have circulated that Hengdian Film & TV plans to partner with ByteDance to collect and store digital data, facial features, and acting performances of 150,000 extras, conducting in-depth analysis. The company claims that “in the future, extras will no longer be needed,” sparking heated debate over whether AI is undermining the livelihoods of grassroots actors, a development that has drawn close attention from the film and television industry. On October 28, Liu Xing, head of public relations at Doubao, responded by stating that “Hengdian is collaborating with ByteDance”; however, the original statement did not fully disclose his subsequent remarks.

Anthropic plans to open its IPO subscription to individual investors in the UK and Europe, aiming to become the largest IPO in history.

Following its filing with the U.S. SEC to pursue a U.S. IPO, Anthropic is preparing for a highly anticipated global offering, planning to list on the Nasdaq under the ticker “ANT,” with fundraising potentially setting a new record worldwide. The company also intends to allocate a significant portion of its shares to retail investors globally and is reportedly partnering with a specialized UK investment platform to expand into the European market. Further details remain undisclosed.

Instagram has modernized its user interface with a native AI architecture, reducing token costs by 33%.

Instagram Direct migrated its Android user interface from the legacy Android View system to Jetpack Compose, thereby creating an AI-native UI codebase that makes it easier for AI coding agents to understand, modify, and maintain.

How to Build Proactive, Always-On Agents with the Schedules SDK in Managed Deep Agents

Most proactive agents run on a simple cron. Learn what scheduled runs unlock, from memory to smart triage, and how to add them to Managed Deep Agents.

MiniMax Open-Sources MCode Stack: 15 Agent Skills Its Coding Team Uses Daily

MiniMax has open-sourced MCode Stack, an MIT-licensed repo of 17 SKILL.md skills and 5 checklists that its MiniMax Code team uses daily for code review, subagent splits, context budgets and long-running commands. The post MiniMax Open-Sources MCode Stack: 15 Agent Skills Its Coding Team Uses Daily appeared first on MarkTechPost.

How to build evidence-grounded agent memory with OpenWiki and Graphs

LangChain used OpenWiki, its open-source wiki compiler, and an evidence graph to build a persistent memory layer that preserves knowledge for agents to reuse across tasks. Learn how.

As AI agents reshape the web, Google opens Gemini and Search to more apps

A new developer platform will let businesses bring their services to Google's AI experiences, potentially changing how consumers discover and use apps.

Chrome’s AI-powered Autofill can now dig through your Gmail to fill out forms

The autofill update lets Chrome pull flight confirmations, tracking info, order details, and other information from your inbox, with your permission.

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 matters：This 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.

Route and orchestrate models with GitHub Copilot Fusion

GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you.… The post Route and orchestrate models with GitHub Copilot Fusion appeared first on The GitHub Blog.

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.