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Silicon
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Google Brings Android Development In-House In Major Shift
- Google has confirmed it will be taking the development of Android entirely in-house, which is a significant change for the open-source mobile operating system.
- Key components of Android that were previously developed in public on the Android Open Source Project (AOSP) branch will now be developed on Google's internal branch.
- This change is aimed at streamlining development by eliminating the need for Google to merge the AOSP and internal branches for each final release.
- The shift has raised concerns about technological fragmentation and the development of competing operating systems, such as Huawei's HarmonyOS.
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Androidauthority
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No, you’re not going crazy: One of the best Pixel Weather app features is now missing
- Google has removed the handy Weather Map from the Pixel Weather app.
- The change has been noticed across all Pixel devices.
- It's unclear if this removal is intentional or a mistake, as other weather features remain unchanged.
- Users are confused and disappointed as the Weather Map was a useful feature for real-time, visual weather updates.
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Medium
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329
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Evaluating Google’s Hold on Our Digital Lives
- Google's hold on our digital lives is being evaluated, with concerns about privacy invasion.
- The subreddit r/degoogle is a platform focusing on alternatives to Google's apps and services, along with discussions on limiting their usage.
- Valid arguments are made regarding Google's use of personal data for targeted ads.
- The decision to de-Google involves considering the value of free apps and services, and the trade-off with data privacy.
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Digitaltrends
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I let Gemini turn complex research into podcasts. I’ll never go back
- Gemini has revolutionized AI interactions with its natural language understanding and fluid app interactions.
- Audio Overviews feature on Gemini allows users to convert complex research papers into engaging podcasts effortlessly.
- Engaging with text-based material through audio podcasts offers a more immersive and memory-enhancing learning experience.
- Podcasts enhance convenience, accessibility, and flexibility in information consumption, making learning more engaging.
- Gemini's Audio Overviews have proven to be effective in aiding memory retention and understanding complex topics better.
- However, Gemini's audio overviews may sometimes miss out on details and have limitations in adjusting length and depth of content conversion.
- Language barriers and pronunciation issues exist in Gemini's AI-hosted podcasts, affecting the overall user experience.
- While not a perfect solution, Gemini's Audio Overviews offer an alternative and engaging method to consume content beyond traditional reading.
- Google's Gemini AI model is evolving to provide more natural and personalized interactions, despite some current limitations.
- Gemini's introduction of audio-based learning methods reflects the growing trend and effectiveness of podcasts in education and entertainment.
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Digitaltrends
2d
0
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Google’s latest AI model, Gemini 2.5 Pro, is now available for all users
- Google has released its latest AI model, Gemini 2.5 Pro, to all users.
- Gemini 2.5 Pro is now available in an experimental state on the web.
- The model offers enhanced coding, math, and science capabilities.
- Users can try out Gemini Advanced with a one-month free trial before subscribing.
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Siliconangle
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269
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Security do-over: How Palo Alto Networks sees the reset
- Automation and AI have rendered traditional cybersecurity approaches ineffective as attackers can scale up attacks at unprecedented rates, overwhelming human capabilities.
- Palo Alto Networks suggests consolidating security tools into a single platform for real-time AI operation to simplify operations and enhance security.
- The volatility in global trade policies and supply chains affects IT spending confidence, but cybersecurity investments are seen as more resilient due to the essential role of safeguarding data.
- Cybersecurity market sees growth with a focus on AI-driven outcomes and automation, while a crowded market presents challenges and opportunities for vendors.
- Different vendors like Microsoft, Google, CrowdStrike, and Cisco pose competition in the cybersecurity market, emphasizing the need for integrated security platforms.
- Platformization versus best-of-breed remains a debate in cybersecurity, with Palo Alto's strategy focusing on unified security platforms despite market trends favoring multiple vendors.
- AI's role in cybersecurity is growing, with vendors emphasizing the need for AI-driven threat detection and response to stay ahead of evolving cyber threats.
- Cybersecurity sector is expected to see more competitive AI-driven solutions, where success will depend on efficient data pipelines, seamless integrations, and threat correlation at machine speed.
- Palo Alto's platformization strategy aims to offer simplicity, data efficiency, and reduced latency in threat detection, challenging the momentum of best-of-breed solutions.
- The cybersecurity industry is evolving with a focus on consolidating security stacks and leveraging AI, but challenges such as quantum threats and market competition remain.
- The future of cybersecurity remains uncertain, with providers needing to balance innovation and market demands to succeed in the ever-changing landscape.
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TechCrunch
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Data centers love solar: Here’s a comprehensive guide to deals over 100 megawatts
- Tech companies are expanding their data center footprints, leading to unprecedented growth in the power industry.
- Solar power, despite intermittency, has become a popular choice due to its proven technology, quick deployment, and low cost.
- Since the start of 2025, tech companies and data center operators have backed 12 solar deals, each adding more than 100 megawatts of capacity.
- The growth of data centers and the need for power is likely to continue, leading to more investments in solar energy.
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Medium
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170
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AI Agents Are the Next Big Thing and Google, Alibaba, PWC and Microsoft Prove It
- AI agents are autonomous or semi-autonomous software programs designed to perform specific tasks or make decisions in real time based on input data.
- They incorporate technologies like NLP, machine learning, and computer vision, spanning applications in customer service, process automation, decision support, and data analysis.
- Google focuses on creating AI agents that enhance user experience by automating tasks and providing suggestions.
- Alibaba's DingTalk platform integrates AI agents like Tongyi Qianwen for tasks like document summaries and trip bookings.
- PwC's 'agent OS' platform enables communication and cohesion among AI agents to automate complex tasks.
- Microsoft integrates AI agents like Copilot for security tasks, Researcher for research, and Analyst for data processing in its products.
- Salesforce's Agentforce initiative allows for personalized AI agents across service, sales, marketing, and commerce sectors.
- Zendesk introduces AI-driven solutions like the Resolution Platform and advanced AI agents for enhanced customer support.
- LinkedIn's AI-powered hiring assistant streamlines recruitment tasks, benefiting companies like Siemens and Robert Walters.
- Industry leaders view AI agents as transformative for productivity, labor transformation, and commercial models based on outcomes.
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Medium
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Whoever owns your data ends up owning you: Facts About Data Privacy
- The moment you share sensitive information, you also reveal a piece of your personality.
- Data from platforms like WhatsApp, Zoom, and Google Workspace contribute to the creation of a comprehensive digital portrait of individuals.
- The extensive profiling associated with data collection poses risks, such as discrimination, targeted advertising, and political manipulation.
- To protect personal freedom and self-determination, individuals need to actively engage with data privacy and re-evaluate their digital habits.
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VentureBeat
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362
Image Credit: VentureBeat
Google’s Gemini 2.5 Pro is the smartest model you’re not using – and 4 reasons it matters for enterprise AI
- Google quietly released Gemini 2.5 Pro, offering an enterprise-ready reasoning model.
- The model's step-by-step training approach results in coherent and transparent chains of thought.
- Gemini 2.5 Pro allows users to understand how the model arrived at answers, enhancing trust.
- While the structured reasoning is not yet accessible via API, it excels in tasks like coding and problem-solving.
- Gemini 2.5 Pro outperforms other models in deep reasoning tasks and excels in coding challenges.
- The model offers a massive context window for reasoning across codebases, providing a critical advantage.
- Gemini 2.5 Pro quietly redefines multimodal reasoning, enabling new workflows and capabilities.
- While there are some limitations, the model is seen as a serious contender for enterprises needing performance and transparency.
- Google's Gemini 2.5 Pro challenges OpenAI and Claude with its practical UX touches and reasoning quality.
- Despite some caveats, the model positions Google as a serious competitor in the LLM space for enterprises.
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Androidauthority
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167
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I tried Google’s new Find My feature for people; I’m going back to Google’s old Find My for people
- Google has integrated people finding feature in the Find My Device app.
- The integration allows users to track people using Google Maps location sharing.
- The feature is a quick copy/paste of an existing feature, but lacks a few options available in Maps.
- It is part of the March Feature Drop for Android phones.
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Insider
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57
Image Credit: Insider
Here's what you need to know about OpenAI, Google and Anthropic's latest AI moves
- OpenAI's image generator for ChatGPT went viral, powered by the GPT-40 model.
- Google launched Gemini 2.5, their most advanced model, focused on AI reasoning.
- Anthropic released a report on how people are using AI in the workplace.
- Data shows that most users are working with AI rather than automating tasks.
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Dev
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160
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使用 Google Apps Script 串接 Google Analytics API，整合多站數據
- This article explains how to integrate multiple Google Analytics (GA) data from different websites using Google Apps Script and the GA API.
- To get started, you need to enable the GA API by creating a Google Cloud Platform (GCP) project and enabling the Google Analytics Data API.
- You also need to obtain the GA resource ID by going to the GA admin dashboard and accessing the "Resource Info" section.
- The article provides code examples for retrieving metrics like page views, active users, and real-time data using the GA API and Google Apps Script.
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TechJuice
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122
Image Credit: TechJuice
Google Confirms Pixel 9a Launch Date After Last-Minute Delay
- Google has officially announced that the Pixel 9a launch date is set for April 10, following a last-minute delay.
- The delay was caused by a component quality issue affecting select units, with a passive component not meeting durability standards.
- The Pixel 9a will be released in stages starting from April 10 in the United States, Canada, and the United Kingdom.
- Priced at $499, the Pixel 9a features Google's Tensor G4 processor, 8GB of RAM, and storage options of 128GB or 256GB.
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Pymnts
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366
Image Credit: Pymnts
Google Suspends Account of Advertiser That Distributed Malware
- Google suspended the account of an advertiser that distributed malware through sponsored Google ads.
- The ads pretended to offer access to DeepSeek but actually delivered malware.
- Google detected the malware campaign and suspended the advertiser's account.
- This incident is part of a series of cyberthreats reported in recent months.
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