AI DEVELOPMENT

Google Unveils Major Gemini AI Upgrades to Gmail, Enhancing Productivity and User Experience

Google has just announced a series of powerful upgrades to Gmail powered by its Gemini AI, making email management more efficient and user-friendly. This new set of features promises to revolutionize the way we interact with our inboxes, combining advanced AI with Google’s existing email platform.

One of the standout additions is the AI Overviews feature, which allows users to search their inbox using natural language. Instead of sifting through numerous emails or relying on keyword searches, users can now simply ask Gemini to summarize or find specific information. This move eliminates the need for repetitive email hunting, saving time and enhancing productivity.

Google has also introduced the AI Inbox, a personalized assistant that sorts through messages and highlights the most important ones. This AI-driven assistant goes a step further by creating to-do lists and setting reminders, ensuring that no important tasks fall through the cracks.

In addition, Grammarly-style proofreading is now available for Pro and Ultra users, which automatically checks for grammar and writing errors in emails, ensuring a more polished and professional communication experience. Another major update is the expanded Help Me Write feature, which provides users with AI-generated writing assistance, while Suggested Replies offers quick and context-aware responses, further streamlining the email-writing process.

These upgrades mark Google’s most aggressive push yet to integrate Gemini AI into Gmail. While Google has slowly incorporated AI into its suite of tools over the years, 2026 is shaping up to be a game-changing year. With Gemini's deeper integration into highly used platforms like Gmail, the new capabilities could significantly boost productivity and change the way we manage emails. For users, this is a clear signal that AI-powered tools are not just the future—they’re already here.

Source: Google

Robi’s Insights:

• Gmail is shifting from inbox to intelligence layer.
With Gemini, Gmail isn’t just managing emails anymore, it’s interpreting intent, context, and next actions.

• Writing emails becomes collaborative, not manual.
Gemini helps draft, rewrite, summarize, and adjust tone automatically, from quick replies to long threads you never wanted to read.

• Your inbox now understands conversations, not just messages.
Gemini can summarize long email chains, extract decisions, and surface what actually matters, without you opening every email.

• Search inside Gmail gets meaning, not keywords.
Instead of hunting with exact terms, you can ask natural questions like “What did we decide last week?” and get direct answers.

• Personalization is contextual, not template-based.
Gemini adapts responses based on past emails, documents, and your writing style, reducing copy-paste culture.

• Productivity is the selling point, not novelty.
Google is positioning Gemini as a time-saver for real work, not a flashy AI demo bolted onto email.

• This signals Google’s broader strategy.
Gmail is becoming a front door for Gemini across Workspace, email is just the first surface.

OTHER IN AI DEVELOPMENTS

Lenovo Unveils Qira AI Assistant for Seamless Cross-Device Integration : Qira combines cloud models, Stability AI, and integrations with Notion and Perplexity to offer a system-level assistant that tracks users' work across Lenovo PCs and Motorola phones, providing proactive suggestions and live meeting support.

Source: Futurm

Microsoft Launches Copilot Checkout, Revolutionizing Online Shopping with AI: Microsoft has launched Copilot Checkout, a new feature that allows U.S. shoppers to complete purchases directly within the AI assistant without ever leaving the chat window.

Source:  Microsoft

SOCIAL MEDIA

Elon Musk's Lawsuit Against OpenAI to Go to Trial

especially after the organization’s transition to a for-profit structure. In 2025, Musk made an unsolicited $97.4 billion bid to acquire OpenAI, which was rejected by Altman.

Founded in 2015 as a nonprofit, OpenAI began its shift towards for-profit operations in 2019, establishing a subsidiary with a capped-profit model. In October 2025, the company completed its restructuring, turning its for-profit arm into a Public Benefit Corporation, with the nonprofit retaining a 26% equity stake.

Musk is now seeking damages, claiming that his $38 million investment was made under the belief that OpenAI would remain a nonprofit. OpenAI has dismissed the lawsuit as baseless, calling it part of Musk’s ongoing pattern of harassment. The trial will proceed as Musk continues to challenge OpenAI’s transformation.

Source: Tech Crunch

OTHER IN SOCIALS

AI Tool “Claude Code” Used to Analyze Personal DNA Data, Skirano Says: Pietro Schirano shared that he used the AI tool Claude Code to feed in his raw DNA data from an ancestry test and identify health‑related genes to monitor, highlighting novel personal genomics applications of generative models.

Source: X Post

HEALTH

AI's Ability to Design Viruses Raises Biosecurity Concerns

Scientists have now demonstrated that artificial intelligence can design complete viral genomes in the lab, marking a major milestone with deep implications for both biology and biosecurity. In experiments led by researchers including Microsoft’s Bruce J. Wittmann, AI models trained on massive DNA datasets were able to construct entirely new viral sequences, as well as redesign known toxins to evade standard DNA screening controls. These capabilities illustrate how machine learning is pushing the boundaries of what computational tools can accomplish in genetic engineering.

The engineered viruses in these studies were bacteriophages, viruses that infect bacteria rather than humans, making them useful for exploring new medical treatments like phage therapy. However, the ease with which AI can now generate plausible viral genomes has triggered fresh biosecurity concerns. Genome‑language models sift complex DNA patterns, enabling them to suggest novel sequences that resemble natural viral families, even though their behavior in real biological systems can be unpredictable

evade these safety checks, raising alarms that current defenses may be inadequate for this new era of computationally crafted biological agents. That has sparked efforts to update screening tools and embed AI‑aware safeguards directly into laboratory workflows.

Experts stress there is still a considerable gap between digital design and crafting agents capable of infecting humans, but the potential for dual use (beneficial research and harmful misuse) is driving urgent calls for stronger oversight and policy frameworks. As AI grows more powerful, policymakers, scientists, and security officials are debating how to balance innovation in biotechnology with protections that can prevent misuse of these tools in biological threats.

Source: Earth

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