Google Vids now lets users create AI-generated videos that put them in the starring role by uploading a few photos or a short reference clip and using text prompts to direct action and style. The feature offers motion-transfer and style-presets so users can generate short, shareable clips in different genres (ads, music-video, tutorial) and includes simple editing controls for backgrounds, camera moves and pacing. Outputs can be exported or saved to Google Photos and are billed under Google’s existing creative tools/paid tiers, with a free trial for low-resolution outputs. Google has added multiple safety and verification measures: identity verification to prevent unauthorized face cloning, visible AI watermarks on generated content, restrictions for public figures and minors, and automated misuse detection. The launch prompted privacy and ethics concerns from advocates and comparisons to competitors like Meta, TikTok and dedicated synthetic-media startups. Google says the product uses licensed training data and built-in guardrails, but regulators and privacy experts will likely continue scrutiny as the feature rolls out.

You can prevent or reduce AI chatbots from using your conversations to train models by adjusting privacy settings, choosing paid/enterprise tiers, and using deletion or legal-request options. Many providers offer explicit toggles that stop chats from being used to improve models — for example, disabling chat history or “use my data” switches in account settings — and paid or enterprise versions often guarantee no training on customer data. Practical steps include turning off data-sharing or history-saving options in the chatbot’s settings, selecting enterprise/paid plans that exclude training, asking support to delete past conversations, and exercising regional privacy rights (like GDPR) to request deletion. For immediate mitigation, avoid entering personal or sensitive information, use ephemeral/incognito sessions, clear saved conversations, and employ browser privacy tools or VPNs. Be aware providers may still collect telemetry or aggregated usage data and that settings vary across services; always review the service’s privacy policy and contact support for definitive confirmation of how your data is used.

Beehiiv launched social and AI features that let newsletter publishers turn subscribers into interactive communities by enabling in-newsletter subscriber-to-subscriber chat and by adding AI-powered creator tools. The chat capability allows publishers to open conversation threads or group chats tied to newsletters, with moderation and subscription controls to keep discussions relevant and safe. This is designed to boost engagement, reduce reliance on external social platforms, and give creators new ways to foster paid communities. The AI additions include tools to help creators write, edit and personalize content — such as headline and subject-line suggestions, automated summaries, draft generation, and audience personalization — plus moderation and scaling features that streamline community management. Beehiiv positions these updates as competitive differentiators against rivals like Substack, aiming to improve retention and monetization. The rollout appears incremental, with features initially available to select publishers or paid tiers and broader availability planned over time.

Google is rebranding its AI-powered research and note-taking tool, NotebookLM, to "Gemini Notebook," signaling a deeper integration with the company’s flagship artificial intelligence model. This change reflects Google's broader strategy to consolidate its various AI services under the unified Gemini branding to streamline user experience. The tool, which leverages Gemini's reasoning capabilities to summarize documents, generate study guides, and synthesize information from user-uploaded sources, will continue to offer its core functionality under the new name. The update aims to emphasize the powerful large language model technology driving the platform's ability to analyze complex data sets and act as a personalized intelligent assistant for researchers and students.

Google has introduced new functionality for its AI assistant, enabling seamless integration and interaction with a curated selection of third-party applications. This update allows users to perform cross-app tasks directly through the AI interface, effectively bridging the gap between platform silos and streamlining productivity workflows for mobile users. By granting permission to connect these apps, the AI can now retrieve data, trigger commands, or facilitate information sharing across platforms without requiring manual switching. This development marks a significant step forward in Google's ecosystem integration strategy, aiming to provide a more cohesive and intelligent user experience that prioritizes contextual awareness and operational efficiency within the mobile environment.

Google has renamed NotebookLM to Gemini Notebook to fold its experimental, note-centric AI tool into the broader Gemini family. The move aligns NotebookLM’s branding with Google’s flagship suite of generative AI products and signals deeper integration with Gemini models and the company’s unified AI strategy. NotebookLM — now Gemini Notebook — offers AI-driven knowledge management features such as ingesting documents, generating summaries, answering questions from a user’s own data, and surfacing citations. The rebrand may bring updates to model access, multimodal capabilities, privacy controls, workspace organization, and potential changes to tiers or pricing as Google standardizes offerings under the Gemini umbrella. The change reflects a wider industry trend of consolidating disparate AI experiments into cohesive product lines for clarity and marketing. Existing users should expect interface and naming changes, possible feature enhancements tied to Gemini model updates, and guidance from Google on migration and account impacts.

Samsung's upcoming Unpacked event is widely expected to debut the Galaxy Watch 7 and the high-end Galaxy Watch Ultra. The new lineup aims to integrate advanced health-tracking features driven by the Galaxy AI suite, which was previously introduced with the S24 smartphone series. The Galaxy Watch Ultra is rumored to feature a distinct square-within-a-circular design and titanium casing, positioning it as a direct competitor to the Apple Watch Ultra. Both devices will likely transition to 3nm process chips, promising improved battery efficiency and faster performance, while refined biometric sensors will provide deeper health insights to health-conscious users.

Gen Z is increasingly opting for trade schools and apprenticeships as concerns about AI-driven automation threaten white-collar careers. Many young people are pivoting toward skilled trades—electrician, plumber, HVAC technician, welder, dental hygienist—because these roles promise steady demand, quicker entry into the workforce, and less vulnerability to algorithmic replacement. Rising student debt, skepticism about the value of four-year degrees, and visible signs that AI tools are disrupting professions such as journalism, law, and accounting are accelerating the shift. Trade programs, community colleges, and employer-sponsored apprenticeships are reporting higher interest and enrollment as employers face labor shortages and aging workforces. The article highlights personal stories and industry trends showing a cultural reassessment of prestige and practicality: Gen Z prioritizes tangible skills, on-the-job training, and immediate earnings, viewing trades as a pragmatic hedge against uncertain, automation-prone white-collar markets.

Flock’s license-plate reader (LPR) camera network lets police and private customers follow people’s movements over time by linking plate reads to patterns of travel, effectively tracking individuals rather than just vehicles. The system captures continual plate sightings, aggregates them into searchable databases and “hotlists,” and alerts subscribers when plates of interest appear. Though marketed as a tool for recovering stolen cars and solving crimes, its continuous collection and retention enable retrospective location histories, movement pattern analysis, and rapid leads that can be used to build investigative timelines and place people at specific locations. Civil liberties advocates warn that Flock’s deployment—often on neighborhood poles or shared in private-public partnerships—creates broad, persistent surveillance with minimal oversight, weak transparency, and potential for biased enforcement. Concerns include retention periods, access policies, secondary use by police, and insufficient safeguards against misuse. The article calls for clearer rules: restrictive retention limits, audit logs, public notice, independent oversight, and strict controls on data queries to reduce privacy harms while balancing public-safety claims.

Anthropic is launching Claude Corps, a program that will award $85,000 to 1,000 early-career professionals to broaden access to AI work and training. The initiative pairs a substantial stipend with mentorship, hands-on training, and access to Anthropic’s Claude models and developer resources, aiming to accelerate participants’ skills in building safe, useful AI applications. The program targets early-career talent across technical and non-technical roles — such as engineering, research, policy, and product — and seeks to diversify the pipeline of AI practitioners. Applications are open to qualifying candidates who meet the program’s criteria, and Anthropic frames Claude Corps as part of its broader strategy to cultivate responsible AI development, address talent shortages, and create pathways into the AI industry through structured support and community-building.

Responsibility for AI risk is fragmented across organizations, creating gaps where no single leader is accountable for the full spectrum of harms and failures. The piece argues that as AI systems become core to products and operations, risks — including safety, bias, privacy, security, regulatory noncompliance and reputational damage — fall between traditional silos (product, engineering, legal, security, compliance and executive leadership), leaving organizations exposed. To address this, the article urges clearer governance: appointing explicit ownership (such as a Chief AI Officer or board-level sponsorship), embedding AI-specific risk assessments into development lifecycles, and creating cross-functional teams with the authority to enforce mitigation. It recommends standardized frameworks, tooling, training, and closer collaboration with regulators to translate policy into operational controls. The central message is that organizational design must evolve to make someone explicitly accountable for AI risk, supported by processes that ensure continuous oversight, measurement and remediation across the AI lifecycle.

1Password has added an Agentic Mode powered by Anthropic's Claude that can perform logins and carry out account actions on behalf of users without exposing plaintext credentials to the AI. The feature lets Claude act as an agent that requests permission to access specific accounts; 1Password mediates access using ephemeral tokens or scoped access mechanisms so the model never receives users' actual usernames or passwords. The integration is presented as an opt-in, experimental capability designed to streamline secure automation while preserving secrecy of credentials. It includes admin controls, audit logging, and least-privilege scopes to limit what the agent can do. Benefits include faster, safer automation of routine tasks and reduced manual credential handling; concerns include the need for rigorous guardrails, transparent logging, and careful policy configuration to avoid unintended actions. Availability and exact rollout details were described as limited/beta at publication, with enterprise controls emphasized for broader use.

Low-Earth orbit (LEO) satellite constellations are emerging as a powerful, high-precision alternative to traditional Medium Earth Orbit (MEO) systems like GPS. By utilizing smaller, cheaper satellites closer to the surface, these LEO networks offer signal strengths up to 1,000 times stronger than conventional systems, significantly improving performance in challenging environments like urban canyons and indoors. Modern initiatives from companies like Xona Space Systems aim to provide centimeter-level accuracy for autonomous vehicles and robotics. While these LEO systems seek to complement rather than replace current infrastructure, they represent a critical evolution in global positioning availability, resilience against interference, and the ability to support the precision requirements of next-generation industrial applications.

Linus Torvalds bluntly asserted that developers who refuse to accept AI-assisted or AI-generated contributions to the Linux kernel should simply "fork it" and work on their own version, making clear he won't let ideological opposition block contributions. He framed the dispute as a pragmatic one about code quality and maintainership rather than a moral crusade, warning that those unwilling to live with community decisions can depart and maintain their own trees. The article outlines the context of debates over AI tools (like code-completion and generation systems) and whether patches created with such assistance are acceptable. It recounts reactions from kernel maintainers and contributors, legal and licensing concerns raised about provenance of AI-assisted code, and Torvalds’ emphasis on technical review and merit over purity tests. The piece highlights potential impacts on collaboration, governance, and the future handling of AI-influenced contributions in open-source projects.

Explains how to disable Gemini AI features in Gmail and across connected Google services so you stop getting AI-generated suggestions and writing help. Walks through the practical steps users can take from within Gmail and their Google account to turn off writing suggestions, Smart Reply/Smart Compose, and any visible Gemini-powered prompts. It directs users to Gmail’s Settings (gear icon → See all settings) and the compose tools where toggles for “Help me write,” Smart Compose, and similar AI assistants can be disabled. It also highlights the Google Account privacy and personalization controls where broader AI features and personalized suggestions can be managed or turned off for all Google apps. The piece notes trade-offs—turning off Gemini reduces personalized assistance and convenience but increases control over automated suggestions and perceived privacy. Tips include checking related settings in Labs/experimental features and restarting Gmail to ensure changes take effect.

Meta has updated its AI chat experience to detect conversations suggesting self-harm and provide immediate support while enabling parental or guardian notification in certain cases involving minors. The system is designed to identify distress signals in user messages, present supportive responses and resources such as crisis hotlines and guidance on seeking help, and escalate to notify a parent or guardian when the account is identified as belonging to a young person at risk. The feature aims to balance rapid automated intervention with user safety by offering tailored support messages and routing high-risk cases toward human review or trusted contacts. Meta says the changes are part of broader safety measures across its platforms to reduce harm and connect vulnerable users with professional help. Privacy and safety advocates have welcomed the focus on crisis support but raised concerns about false positives, the potential chilling effect on help-seeking behavior, and the implications of notifying parents without teens' consent. The update follows industry trends toward embedding mental-health safeguards into AI-driven chat services while prompting debate about trade-offs between protection and privacy.

Agentic commerce's rapid expansion risks repeating ecommerce's biggest mistakes by privileging platform monetization and control over user agency, privacy, and open competition. The piece warns that autonomous shopping agents and commerce automation can deliver convenience and efficiency while also concentrating power in a few dominant platforms, entrenching vendor lock-in, and turning personalization into pervasive surveillance if companies prioritize short-term revenue models and proprietary integrations. To avoid these outcomes the author urges designers, platforms, merchants, and regulators to emphasize interoperability, transparency, and user consent. Recommendations include open standards and protocols for agent interactions, clear pricing and recommendation transparency, privacy-preserving techniques, fair marketplace rules for merchants, and regulatory guardrails to preserve competition and consumer choice. The article frames agentic commerce as an opportunity to rethink commerce architecture, but stresses that without deliberate design and policy interventions the industry could repeat past errors that harmed consumers and smaller businesses.

Linus Torvalds says Linux is not opposed to artificial intelligence and told critics who object to AI-related developments to fork the kernel or simply walk away. He pushed back against what he framed as ideological attacks, stressing that kernel decisions are driven by technical merit, stability and maintainability rather than political positions on AI. Torvalds made the comments while addressing heated reactions within the Linux community, urging contributors to keep discussions civil and focus on engineering criteria. He emphasized that maintainers must weigh patches on their technical impact and that blanket anti-AI sentiment is not a workable policy for kernel development. The exchange highlights ongoing tensions as AI features and related tooling intersect with long-standing open-source governance, but Torvalds’ stance reinforces a pragmatic, case-by-case approach rather than an outright ban or ideological stance.

Meta has begun notifying parents when a teen account engages in conversations about suicide or self-harm with its AI chatbot, aiming to surface potential safety risks while directing families to support resources. Notifications are sent to the linked parent or guardian account and reportedly do not include the verbatim chatbot conversation; instead they flag that a concerning interaction occurred and offer links to mental-health resources and guidance on checking in with the teen. The change reflects Meta’s push to fold AI-safety signals into its existing parental-control and Family Center tools. Meta says the system relies on automated detection to identify self-harm language and is designed to balance safety and privacy, while providing pathways to professional help. Privacy advocates and mental-health experts have raised concerns about false positives, the chilling effect on teens seeking help, data-handling transparency, and potential misuse. The move follows broader industry and regulatory pressure to address youth safety around AI-driven features, and underscores tensions between user privacy and proactive safety interventions.

Businesses are rolling out AI tools more quickly than they are preparing or upskilling employees, producing an “AI underclass” of workers who lack access, training or fair roles in an AI-enabled workplace. The article warns that rapid deployment without comprehensive change management risks creating sharp divides between employees who gain productivity and career opportunities from AI and those sidelined by automation or left without necessary skills. It highlights consequences such as lower morale, rising inequality within firms, higher churn and potential reputational or regulatory problems. To avoid these outcomes, organizations are urged to adopt clear governance, transparent deployment policies, inclusive training and reskilling programs, and cross-functional oversight that involves HR, IT and business leaders. The piece calls for measured rollouts, employee engagement, and metrics to ensure AI delivers benefits broadly rather than concentrating advantage among a subset of the workforce.