Google has outlined updated guidance on how users can manage or effectively “change” their Gmail addresses, addressing a long-standing limitation that prevents direct modification of existing email IDs. The clarification comes as millions of users seek greater flexibility in personalizing or updating their digital identities without losing access to data tied to their original accounts.

According to the update, Gmail users cannot directly edit their primary email address once it has been created. Instead, Google recommends alternative approaches such as creating a new account, using email aliases, or adjusting display names. These methods allow users to maintain continuity while adapting how their identity appears in communications.

One of the key options highlighted is the use of Gmail aliases, particularly for addresses that include dots or plus signs. Gmail treats variations like “[email protected]” and “[email protected]” as the same inbox, enabling users to filter and organize emails without needing multiple accounts. Additionally, users can change the name displayed in outgoing emails, offering a simple way to rebrand without altering the underlying address.

For those needing a completely new email identity, Google suggests creating a new Gmail account and setting up email forwarding from the old one. This ensures that incoming messages are not lost during the transition. Users can also import contacts and past emails to maintain continuity across accounts, though the process requires manual setup.

This guidance reflects a broader trend in digital identity management, where flexibility is balanced with security and system stability. By limiting direct changes to email addresses, Google reduces risks related to account recovery and authentication, while still offering practical alternatives for users’ evolving needs.

Ultimately, while Gmail doesn’t support direct address changes, its ecosystem provides enough tools for users to adapt their online presence with minimal disruption.

Source: Wired

Robi’s Insights:

Alexa+ Turns Food Ordering Into a Conversation With Uber Eats and Grubhub

Amazon has upgraded Alexa+ to let users order food from Uber Eats and Grubhub through natural, conversational interactions—allowing browsing, customization, and real-time changes as if speaking to a waiter.

Source: X Post

For employees affected, the announcement lands as another reminder that “digital transformation” often translates into “please update your résumé.” For everyone else, it’s just another day in tech, where layoffs are rebranded as strategic realignments and billion dollar AI bets are framed as innovation instead of very expensive panic. Because nothing says confidence in the future quite like cutting thousands of jobs while telling investors the robots are about to save everything, and if that sounds contradictory it probably is, but don’t worry because the press release will definitely call it efficiency and the stock might even go up which is what really matters anyway in the grand corporate scheme of things as usual today

Source: The Verge

Americans Skeptical of AI as Workplace “Boss,” Poll Finds Growing Job Anxiety: A new Quinnipiac University poll reveals rising discomfort with AI in leadership roles, with most Americans doubting its suitability as a supervisor while broader fears grow that the technology could reduce job opportunities and reshape the workplace.

Source: Tech Crunch

Researchers are advancing a new model of health care that integrates artificial intelligence with human expertise and community input to improve patient outcomes. The approach emphasizes that AI alone cannot solve complex medical challenges but can enhance decision making when combined with clinicians and local knowledge.

The initiative, led by the University of Arizona, brings together researchers, clinicians, and community partners to design systems that reflect real world needs. By incorporating patient perspectives and social factors, the system aims to produce more equitable and accurate recommendations across diverse populations.

The AI tools analyze large datasets to identify patterns, while human experts interpret findings and ensure cultural relevance. Early results suggest that combining machine efficiency with lived experience can improve diagnosis, care planning, and trust between providers and patients. The system also allows continuous feedback from users, enabling iterative improvements and adaptation to changing clinical environments without losing accountability or transparency in decision processes.

Researchers say the model represents a shift toward more inclusive, responsive health systems and could guide future deployments of AI in medicine. Further studies will evaluate scalability and long term impact across different health care settings. Experts highlight the importance of training and governance to maintain ethical use.

Source: University of Arizona

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