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Androidauthority

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I easily scammed Google’s new Scam Detection feature

  • Google rolled out a new feature for Android phones called Theft Detection Lock to prevent unauthorized access to sensitive data.
  • The feature uses sensors in the phone to understand when a thief quickly grabs the phone and triggers a lockdown.
  • However, in testing, it was found that the feature didn't work consistently and required specific actions from the thief.
  • This limitation undermines the effectiveness of the Theft Detection Lock feature.

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Androidauthority

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Of all the features Google has killed, I will miss this one the most

  • Google is discontinuing its server-hosted Timeline feature on Google Maps.
  • The new Timeline feature will save user whereabouts on their Android phone for privacy reasons.
  • While privacy measures are important, the author expresses sadness over the loss of the previous Timeline feature.
  • The author views the previous Timeline feature as simple, useful, and delightful.

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Medium

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The Case for an Open Search Foundation: Just an Idea.

  • Google's search engine monopoly has led to stagnation in innovation and made it increasingly difficult for smaller companies to offer meaningful competition as the ad-based model prioritizes profit over people, leading to reinforcing echo chambers that polarize public opinion.
  • Despite Google facing significant scrutiny from regulators for anti-competitive behavior and privacy concerns with fines imposed, the overall market dominance of Google remains largely unshaken and compounded by the immense barriers put in place that any potential competitor must overcome.
  • Emerging technologies such as decentralized web initiatives and AI-driven contextual search have shown promise, but are limited by heavy market dominance and the lack of funding required to achieve broad adoption.
  • To solve these problems, an Open Search Foundation is proposed, providing a non-profit, open collaboration that provides a neutral, trustworthy, and community-driven backbone for internet search together with big tech companies, governments, academic institutions, and independent developers to create a search infrastructure that belongs to everyone.
  • The Open Search Foundation would develop and maintain the core components of a search engine, ensuring that search remains fair, transparent, and focused on providing accurate and relevant information without the influence of advertisers.
  • Companies could use this core infrastructure to build their own customized search experiences, such as privacy-focused search by Apple, deep productivity integrations by Microsoft, or optimized product discovery by Amazon, while still contributing to the shared backbone.
  • The open foundation model brings several key advantages such as neutrality, transparency and innovation by fostering a true ecosystem of competition and innovation.
  • The timing for an initiative like this has never been better. The scrutiny on big tech is mounting, and governments are eager to find alternatives to the current monopolies.
  • An Open Search Foundation — funded by big players seeking a competitive edge against Google, supported by governments, and trusted by the public — could redefine the very fabric of the internet.
  • An open, community-driven backbone would not only provide a trusted search experience for users but would also foster a true ecosystem of competition and innovation unto building a fairer, more democratic system for information retrieval.

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Analyticsindiamag

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OpenAI Hires Chrome Creator to Erase Google Search, One Tab at a Time

  • Darin Fisher, a key creator of Google Chrome and former Google VP of Engineering, joined OpenAI as a member of technical staff in November 2024.
  • OpenAI is considering developing its own web browser to challenge Chrome’s dominance and enable AI-powered interactions between websites and users.
  • OpenAI has discussed integrating AI-powered search features with companies like Conde Nast, Redfin, Eventbrite, and Priceline.
  • The move into browser development marks another step in OpenAI’s competition with Google, following its entry into the search space with SearchGPT.

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Medium

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Google’s AI Ambitions and the Environmental Impact

  • Google, a leader in AI, is facing challenges in balancing the power demands of AI with its sustainability goals. The company aims for net-zero emissions by 2030 and is investing in energy efficiency and renewable energy to reduce the environmental impact of its data centers.
  • The environmental impact of Google's AI projects goes beyond energy consumption, as it also increases emissions from the supply chain and raises concerns about the overall carbon footprint of AI technologies.
  • Google is implementing sustainability initiatives, including investing in clean energy sources and planning to replenish 120% of the freshwater it uses by 2030, to create a more sustainable future for its operations and the wider community.
  • While facing environmental challenges, Google is also using AI for climate action, such as optimizing wind power generation and suggesting fuel-efficient routes on Google Maps, demonstrating its commitment to leveraging AI for positive environmental impact.

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Dev

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Planning a Google Workspace Deployment

  • Google has a 3-phase deployment methodology for Google Workspace, starting with Core IT where a small group pilots the deployment by creating the technical design and testing setup options. Early Adopters involves rolling out the deployment to 5-10% of the workforce to validate the migration approach and test change management plan. Global Go-Live is the final stage.
  • When planning for a Google Workspace deployment, it's essential to consider migrating and syncing resources such as groups and calendars. Several options include individually, bulk via CSV or using Google Cloud Directory Sync (GCDS).
  • GCDS is a one-way process and requires installing and configuring the tool. Password Sync is another tool specifically designed for passwords, installed on each Domain Controller to push new passwords to their managed Google Account.
  • Google Workspace has three different types of groups - admin-managed, user-managed, and personal. Admin-managed groups can be synced via GCDS while user-managed and personal groups are not.
  • During the deployment process, there are three different mail delivery scenarios, including legacy mail forwarding to Google, routing messages from unknown users to a special mailbox or external server, and Direct, Dual, or Split Delivery.
  • There are two main approaches to data migration during a Google Workspace deployment - server-side migration and client-side migration. The best approach depends on the data's location and how much migration control is required.
  • Coexistence refers to when an organization has both Google Workspace and a legacy platform running at the same time. There are different types of coexistence, including short-term and long-term. Long-term coexistence is complex and not recommended.
  • Options for user migration during the first two phases include migrating nothing, minimal migration, or complete migration. The best option depends on the organization's needs, with migrating nothing considered the best practice.
  • GWMME is a server-side migration tool that migrates mail, calendar, and contacts from Exchange. Best practices include co-locating migration servers with mail servers for improved performance and actively monitoring for migration failures.
  • During the data migration strategy, determine what data will be migrated at each deployment phase to save time and reduce issues. The choice may include partial or complete migration of mail, calendars, and contacts.

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Androidauthority

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Android 15 QPR1 Beta 3.1 arrives with last-minute fixes, including one for annoying theming bug

  • Android 15 QPR1 Beta 3.1 is now available, ahead of the public Pixel Drop.
  • Google’s changelog reveals a variety of minor bug fixes.
  • Downloads are now available for Pixel 6 through Pixel 9 series devices.
  • Android 15 QPR1 Beta 3.1 includes fixes for annoying theming bug and other issues.

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Arstechnica

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The good, the bad, and the ugly behind the push for more smart displays

  • Smart displays are making a comeback in the consumer market.
  • Companies are taking different approaches to make smart displays popular.
  • The good: Smart displays that solve real user problems are gaining traction.
  • The bad and the ugly: Some smart displays are glorified vehicles for ads and tracking.

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Siliconangle

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AI chip startup MatX reportedly raises $80M funding round

  • MatX Inc., a chip startup led by former Google LLC engineers, has raised $80 million in fresh funding.
  • The raise, described as a Series B round, values MatX at over $300 million.
  • MatX is developing AI chips for training models and performing inference, prioritizing cost-efficiency and competitive latency.
  • The company plans to give customers low-level control over the hardware and expects to complete its first product's development in the coming year.

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Androidauthority

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Google’s latest Chromecast with Google TV update is yet another tease

  • Google has released a new software update, STTL.240812.006.N1, for Chromecast with Google TV.
  • The update is smaller in size compared to the previous update and maintains the September security patch.
  • No specific changes are mentioned in the release notes, other than bug fixes and performance improvements.
  • Users are still awaiting the release of Android 14 and updates to the Google TV Streamer's Home panel.

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Dev

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🚀 The Ultimate Guide to 50 Must-Have Google Chrome Extensions for Developers

  • Chrome extensions can supercharge your productivity as a developer, providing tools for debugging, testing, designing, and much more—all at your fingertips.
  • Here's a detailed list of 50 top-level Chrome extensions for developers, packed with advanced information to help you unlock their full potential.
  • Some of the notable extensions include Web Developer, React Developer Tools, Redux DevTools, Lighthouse, Dimensions, JSON Viewer Pro, Wappalyzer, and Postman Interceptor.
  • Incorporating these extensions into your workflow can save you hours of effort while improving your output's quality.

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Medium

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The richest professor in the world

  • David Cheriton, a professor of Computer Science, Emeritus at Stanford University, is ranked among the 200 richest people in the world.
  • In 1998, Cheriton invested $100,000 in a startup founded by his students, Larry Page and Sergey Brin, who later created Google.
  • Cheriton's investment in Google turned into billions as the company took off, but he also made investments in other startups amounting to more than $50,000,000.
  • Despite his wealth, Cheriton still lives in the same house for 30 years, drives a Honda since 2012, and cuts his own hair.

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Digitaltrends

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You can now send higher-quality photos in RCS Google Messages chats. Here’s how

  • Google Messages has rolled out the 'original quality' media-sharing feature in its beta version.
  • To activate this feature, users need to select the Media Quality button and choose 'Original quality'.
  • Optimized for chat sends lower resolution images with less data consumption, while Original quality sends uncompressed images with no restrictions.
  • The feature will be available to all users in the near future.

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Cloudblog

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Boost your Continuous Delivery pipeline with Generative AI

  • AI-driven assistance can enhance developer experience and productivity and optimize overall software delivery performance.
  • Generative AI is being used to expand the use of large language models to streamline time-consuming tasks.
  • AI tools are not a replacement for traditional tools and processes but instead provide more nuanced commentary on code quality.
  • Gemini models in Vertex AI can be used to build a custom extension of a CI/CD pipeline that uses Gemini’s language and text generation capabilities.
  • Friendly-cicd-helper is a small demo tool that abstracts the mechanics of interacting with the Gemini APIs in Vertex AI.
  • A Cloud Build pipeline can be triggered when a developer opens a merge request in Gitlab.
  • The pipeline builds a container image with the updated code and deploys the application to a QA environment using Cloud Deploy.
  • In the pipeline, Gemini is used to generate an automated code review of our merge request and generating suggested release notes that describe the contained changes in the MR.
  • The practical example shows how to leverage Gemini models in Vertex AI within a continuous delivery pipeline to support code reviews and generate release notes for pull requests.
  • Automated AI tooling in a CI/CD pipeline can help streamline time-consuming tasks, reduce cognitive load and free up developer's time.

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Cloudblog

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Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide

  • Gemini 1.5 Pro is creating new possibilities for developers to build AI agents that streamline the customer experience.
  • The article focuses on building an AI-powered trip planning agent.
  • Function calling and grounding are two core concepts of Gemini 1.5 Pro that are used.
  • AI agents can understand user requests, retrieve relevant information from the web, and provide personalized recommendations.
  • AI engineers need to define potential queries that users might enter into the Gemini chat.
  • To use Gemini 1.5 Pro for development, you'll need to create or use an existing project in Google Cloud.
  • Custom functions are defined for the events API and the hotels API and declared as tools.
  • The article also covers configuring safety settings for the model.
  • Users can test the chat capabilities of the agent with sample queries.
  • Gemini 1.5 Pro's function calling and grounding features enhance its capabilities, enabling developers to connect to external tools and improve model results.

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