A new ‘Answer Now’ button has been added to Gemini, allowing users to skip extended reasoning and receive instant replies. The feature appears alongside the spinning status indicator in Gemini 3 Pro and Thinking/Flash, but is not available in the Fast model.
When selected, the button confirms that Gemini is ‘skipping in-depth thinking’ before delivering a quicker response. Google says the tool is designed for general questions where speed is prioritised over detailed analysis.
The update coincides with changes to usage limits across subscription plans. AI Pro users now receive 300 Thinking prompts and 100 Pro prompts per day, while AI Ultra users get 1,500 Thinking prompts and 500 Pro prompts daily.
Free users also gain access to the revised limits, listed as ‘Basic access’ for both the Thinking and Pro models. Google has not indicated whether the Fast model will receive the Answer Now feature.
The rollout follows the recent launch of Gemini’s Personal Intelligence feature, which allows the chatbot to draw on Google services such as Gmail and Search history. Google says Answer Now will replace the existing Skip button and is now available on Android, iOS, and the web.
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A new beta feature has been launched in the United States that lets users personalise the Gemini assistant by connecting Google apps such as Gmail, Photos, YouTube and Search. The tool, called Personal Intelligence, is designed to make the service more proactive and context-aware.
When enabled, Personal Intelligence allows Gemini to reason across a user’s emails, photos, and search history to answer questions or retrieve specific details. Google says users remain in control of which apps are connected and can turn the feature off at any time.
The company showed how Gemini can use connected data to offer tailored suggestions, such as identifying vehicle details from Photos or recommending trips based on past travel.
Google said the system includes privacy safeguards. Personal Intelligence is turned off by default, and Gemini does not train on users’ Gmail inboxes or photo libraries.
The beta is rolling out to Google AI Pro and AI Ultra subscribers in the US and will work across web, Android, and iOS. Google plans to expand access over time and bring the feature to more countries and users.
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Ant International has announced a partnership with Google to support the launch of the Universal Commerce Protocol, a new open standard designed to enable agent-driven commerce across discovery, purchasing and post-purchase support.
A collaboration that aims to simplify how AI agents, merchants and payment providers interact across platforms.
The protocol establishes a shared language that enables agents to collaborate seamlessly without requiring bespoke integrations, while remaining compatible with existing industry frameworks. Google says alignment on common standards is essential for agentic commerce to scale across sectors and markets.
AI interfaces such as the Gemini app and AI Mode in Google Search are expected to support native purchasing within conversations. Users expressing shopping intent will receive curated product options and complete payments through integrated wallet services without leaving the chat environment.
Ant International is contributing payment expertise, alternative payment methods and AI-based risk management to ensure traceable transactions and consumer trust.
The company states that secure intent verification and fraud protection are crucial as users entrust purchasing decisions to intelligent agents.
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Apple and Google have confirmed a multi-year partnership that will see Google’s Gemini models powering Siri and future Apple Intelligence features. The collaboration will underpin Apple’s next-generation AI models, with updates coming later this year.
The move follows delays in rolling out Siri upgrades first unveiled at WWDC 2024. While most Apple Intelligence features have already been launched, the redesigned Siri has been postponed due to development taking longer than anticipated.
According to reports, Apple will continue using its own models for specific tasks, while Gemini is expected to handle summarisation, planning, and other advanced functions.
Bloomberg reports the upcoming Siri will be structured around three layers: query planning, knowledge retrieval, and summarisation. Gemini will handle planning and summarisation, helping Siri structure responses and create clear summaries.
Knowledge retrieval may also benefit from Gemini, potentially broadening Siri’s general knowledge capabilities beyond its current hand-off system.
All AI processing will operate on Apple’s Private Cloud Compute platform, ensuring user privacy and keeping data secure. Analysts suggest this integration will embed Gemini more deeply into Siri’s core functionality, rather than serving as a supplementary tool.
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Google is expanding shopping features inside its Gemini chatbot through partnerships with Walmart and other retailers. Users will be able to browse and buy products without leaving the chat interface.
An instant checkout function allows purchases through linked accounts and selected payment providers. Walmart customers can receive personalised recommendations based on previous shopping activity.
The move was announced at the latest National Retail Federation convention in New York. Tech groups are racing to turn AI assistants into end-to-end retail tools.
Google said the service will launch first in the US before international expansion. Payments initially rely on Google-linked cards, with PayPal support planned.
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Google is reshaping Gmail around its Gemini AI models, aiming to turn email into a proactive assistant for more than three billion users worldwide.
With inbox volumes continuing to rise, the focus shifts towards managing information flows instead of simply sending and receiving messages.
New AI Overviews allow Gmail to summarise long email threads and answer natural language questions directly from inbox content.
Users can retrieve details from past conversations without complex searches, while conversation summaries roll out globally at no cost, with advanced query features reserved for paid AI subscriptions.
Writing tools are also expanding, with Help Me Write, upgraded Suggested Replies, and Proofread features designed to speed up drafting while preserving individual tone and style.
Deeper personalisation is planned through connections with other Google services, enabling emails to reflect broader user context.
A redesigned AI Inbox further prioritises urgent messages and key tasks by analysing communication patterns and relationships.
Powered by Gemini 3, these features begin rolling out in the US in English, with additional languages and regions scheduled to follow during 2026.
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A Guardian investigation has found that Google’s AI Overviews have displayed false and misleading health information that could put people at risk of harm. The summaries, which appear at the top of search results, are generated using AI and are presented as reliable snapshots of key information.
The investigation identified multiple cases where Google’s AI summaries provided inaccurate medical advice. Examples included incorrect guidance for pancreatic cancer patients, misleading explanations of liver blood test results, and false information about women’s cancer screening.
Health experts warned that such errors could lead people to dismiss symptoms, delay treatment, or follow harmful advice. Some charities said the summaries lacked essential context and could mislead users during moments of anxiety or crisis.
Concerns were also raised about inconsistencies, with the same health queries producing different AI-generated answers at different times. Experts said this variability undermines trust and increases the risk that misinformation will influence health decisions.
Google said most AI Overviews are accurate and helpful, and that the company continually improves quality, particularly for health-related topics. It said action is taken when summaries misinterpret content or lack appropriate context.
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Google has filed a lawsuit against a Chinese-speaking cybercriminal network it says is behind a large share of scam text messages targeting people in the United States. The company says the legal action is aimed at disrupting the group’s online infrastructure rather than seeking damages.
According to the complaint, the group, known as Darcula, develops and sells phishing software that allows scammers to send mass text messages posing as trusted organisations such as postal services, government agencies, or online platforms. The tools are designed to be easy to use, enabling people with little technical expertise to run large-scale scams.
Google says the software has been used by hundreds of scam operators to direct victims to fake websites where credit card details are stolen. The company estimates that hundreds of thousands of payment cards have been compromised globally, with tens of thousands linked to victims in the United States.
The lawsuit asks a US court to grant Google the authority to seize and shut down websites connected to the operation, a tactic technology companies increasingly use when criminal networks operate in countries beyond the reach of US law enforcement. Investigations by journalists and cybersecurity researchers suggest the group operates largely in Chinese and has links to individuals based in China and other countries.
The case highlights the growing scale of text-based fraud in the US, where cybercrime losses continue to rise sharply. Google says it will continue combining legal action with technical measures to limit the reach of large scam networks and protect users from increasingly sophisticated phishing campaigns.
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An innovative approach has gained attention as Google shared a way to help users visualize their goals for 2026 using its Gemini AI platform.
In a post from the official Gemini account, users were invited to experiment with a prompt linked to Nano Banana Pro, turning future planning into a visual and shareable exercise.
Visualize your 2026 goals with the help of Nano Banana Pro.
Open the Gemini app and use the prompt in the replies. Try different styles, like magazine cutout, notebook paper, and more. Share yours below ⬇️
The approach centres on a detailed image prompt that encourages users to create an illustrated vision board rather than a written list of resolutions.
By combining a knolling-style layout with hand-drawn aesthetics, notebook textures and playful annotations, the prompt aims to make goal-setting feel more personal and engaging.
Users are encouraged to customise the prompt by inserting their own aspirations, habits or milestones, allowing the AI to generate a tailored illustration. Cross-hatching, highlighter effects and handwritten notes give the images a deliberately imperfect, journal-like quality, despite being AI-generated.
The experiment reflects a broader trend of using generative AI for creative self-reflection rather than productivity alone. By framing goals as visual stories, Google is positioning Gemini as a tool that blends artistic expression with everyday planning.
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Chinese researchers have reported a significant advance in quantum computing using a superconducting system. The Zuchongzhi 3.2 computer reached the fault-tolerant threshold, at which point error correction improves stability.
Pan Jianwei led the research and marks only the second time globally that this threshold has been achieved, following earlier work by Google. The result positions China as the first country outside the United States to demonstrate fault tolerance in a superconducting quantum system.
Unlike Google’s approach, which relies on extensive hardware redundancy, the Chinese team used microwave-based control to suppress errors. Researchers say this method may offer a more efficient path towards scalable quantum computing by reducing system complexity.
The breakthrough addresses a central challenge in quantum computing: qubit instability and the accumulation of undetected errors. Effective error management is crucial for developing larger systems that can maintain reliable quantum states over time.
While practical applications remain distant, researchers describe the experiment as a significant step in solving a foundational problem in quantum system design. The results highlight the growing international competition in the quest for scalable, fault-tolerant quantum computers.
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