Google Archives | Digital Watch Observatory

Nano Banana 2 brings Flash speed to Gemini image generation

Google has introduced Nano Banana 2, branded Gemini 3.1 Flash Image, combining Flash speed with advanced reasoning. The update narrows the gap between rapid generation and visual quality, enabling faster edits. Improved instruction-following enhances the handling of complex prompts.

Nano Banana 2 integrates real-time web grounding to improve subject accuracy and contextual awareness. The model supports more precise text rendering and in-image translation for marketing and localisation tasks. It can also assist with diagrams, infographics, and data visualisations.

Upgrades include stronger subject consistency across multiple characters and objects within a single workflow. Users can create assets in aspect ratios and resolutions from 512px to 4K. Google highlighted improvements in lighting, textures, and photorealism while maintaining Flash-level speed.

The model is rolling out across the Gemini app, Search, Lens, AI Studio, Vertex AI, Flow, and Google Ads. In Gemini, Nano Banana 2 replaces Nano Banana Pro by default, though Pro remains available for specialised tasks. Availability is expanding to additional countries and languages.

Google also reinforced its provenance strategy by combining SynthID watermarking with C2PA Content Credentials. The company said verification tools in Gemini have been used millions of times to identify AI-generated media. C2PA verification will be added to the app in a future update.

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OpenClaw users face account suspensions under Google AI rules

Google has suspended access to its Antigravity AI platform for numerous OpenClaw users, citing violations of its terms of service. Developers had used OpenClaw’s OAuth plugin to access subsidised Gemini model tokens, triggering backend strain and service degradation.

OpenClaw, launched in November 2025, gained more than 219,000 GitHub stars by enabling local AI agents for tasks such as email management and web browsing. Users authenticated through Antigravity to access advanced Gemini models at reduced cost, bypassing official distribution channels.

Google said the third-party integration powered non-authorised products on Antigravity infrastructure, triggering usage flagged as malicious. In February 2026, AI Ultra subscribers reported 403 errors and account restrictions, with some citing temporary disruptions to Gmail and Workspace.

Varun Mohan of Google DeepMind said the surge had degraded service quality and that enforcement prioritised legitimate users. Limited reinstatement options were offered to those unaware of violations, while capacity constraints were cited as the reason.

The move follows similar restrictions by Anthropic on third-party OAuth usage. Developers are shifting to alternative forks, as debate intensifies over open tooling, platform control, and the risks of agentic AI ecosystems.

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Google’s Lyria 3 advances generative AI music with transparency and copyright safeguards

Google has introduced Lyria 3 inside its Gemini app, marking its expansion into AI-generated music. The model enables users to create 30-second tracks from text prompts, images, or short videos. It also supports Dream Track on YouTube Shorts, strengthening AI integration in creator tools.

The development reflects the growing convergence of multimodal AI systems. Gemini can already generate text, images, and video, and music is now added to this ecosystem. This positions Google within the broader race to embed generative AI across digital content infrastructures.

Lyria 3 lowers technical barriers to music production. Users can generate instrumentals and lyrics without prior composition skills, simply by describing a mood, genre, or memory. This aligns with wider efforts to democratise creative expression through AI tools.

The model also introduces technical improvements over earlier audio systems. It offers greater control over tempo, vocals, and style, while producing more realistic and musically complex outputs. However, tracks are currently limited to 30 seconds, suggesting a phased rollout approach.

Transparency measures are embedded through SynthID watermarking technology. All AI-generated tracks include an imperceptible identifier to signal synthetic origin. Such mechanisms respond to increasing policy discussions on labelling and traceability of AI-generated content.

Google also emphasises safeguards related to intellectual property. The system is designed for original expression rather than direct imitation of specific artists. Prompts referencing known artists are treated as stylistic inspiration, and outputs are filtered against existing works, with reporting mechanisms available for potential rights violations.

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Google plans $15bn AI push in India

Google CEO Sundar Pichai said at the India AI Impact Summit 2026 in New Delhi that he never imagined Visakhapatnam would become a global AI hub. Speaking in New Delhi, he recalled passing through the coastal city as a student and described its transformation as remarkable.

In New Delhi, Pichai announced that Google will establish a full-stack AI hub in Visakhapatnam as part of a $15 billion investment in India. The facility is expected to include gigawatt-scale compute capacity and a new international subsea cable gateway.

The project in Visakhapatnam is set to generate jobs and deliver advanced AI services to businesses and communities across India. Authorities in Andhra Pradesh have allotted more than 600 acres of land near the port city for the proposed hyperscale AI data centre.

Reacting in New Delhi, Andhra Pradesh IT and HRD Minister Nara Lokesh welcomed the announcement and thanked Pichai for expressing confidence in Visakhapatnam. The development positions Visakhapatnam as a major AI infrastructure hub within India’s expanding technology sector.

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Google outlines progress in responsible AI development

Google published its latest Responsible AI Progress Report, showing how AI Principles guide research, product development, and business decisions. Rising model capabilities and adoption have moved the focus from experimentation to real-world industry integration.

Governance and risk management form a central theme of the report, with Google describing a multilayered oversight structure spanning the entire AI lifecycle.

Advanced testing methods, including automated adversarial evaluations and expert review, are used to identify and mitigate potential harms as systems become more personalised and multimodal.

Broader access and societal impact remain key priorities. AI tools are increasingly used in science, healthcare, and environmental forecasting, highlighting their growing role in tackling global challenges.

Collaboration with governments, academia, and civil society is presented as essential for maintaining trust and setting industry standards. Sharing research and tools continues to support responsible AI innovation and broaden its benefits.

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DeepMind chief outlines limits of current AGI systems

Artificial general intelligence remains a future ambition rather than a present reality, according to Google DeepMind chief executive Demis Hassabis. Speaking at an AI summit in New Delhi, he said current systems still fall short of matching human-level intelligence in several vital areas.

Hassabis identified three key limitations. Existing AI models lack continual learning, meaning they cannot update their knowledge dynamically once deployed. Instead, they rely on static training completed before release, preventing them from adapting to new contexts or personalising responses over time.

Long-term planning is another weakness. While advanced models can handle short-term reasoning tasks, they struggle to plan strategically over extended periods, as humans do.

Consistency also remains an issue, as systems may perform exceptionally well in complex domains but make unexpected errors in simpler tasks.

Despite these shortcomings, Hassabis has previously suggested that genuine AGI could emerge within the next five to ten years. For now, however, he maintains that present systems have not yet reached that threshold.

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Russia signals no immediate Google ban as Android dependence remains critical

Officials in Russia have confirmed that no plans are underway to restrict access to Google, despite recent public debate about the possibility of a technical block. Anton Gorelkin, a senior lawmaker, said regulators clarified that such a step is not being considered.

Concerns centre on the impact a ban would have on devices running Android, which are used by a significant share of smartphone owners in the country.

A block on Google would disrupt essential digital services instead of encouraging the company to resolve ongoing legal disputes involving unpaid fines.

Gorelkin noted that court proceedings abroad are still in progress, meaning enforcement options remain open. He added that any future move to reduce reliance on Google services should follow a gradual pathway supported by domestic technological development rather than abrupt restrictions.

The comments follow earlier statements from another lawmaker, Andrey Svintsov, who acknowledged that blocking Google in Russia is technically feasible but unnecessary.

Officials now appear focused on creating conditions that would allow local digital platforms to grow without destabilising existing infrastructure.

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Google acquisition of Wiz cleared under EU merger rules

The European Commission has unconditionally approved Google’s proposed acquisition of Wiz under the EU Merger Regulation, concluding that the deal raises no competition concerns in the European Economic Area.

The assessment focused on the fast-growing cloud security market, where both companies are active. Google provides cloud infrastructure and security services via Google Cloud Platform, while Wiz offers a cloud-native application protection platform for multi-cloud environments.

Regulators examined whether Google could restrict competition by bundling Wiz’s tools or limiting interoperability with rival cloud providers. The market investigation found customers would retain access to credible alternatives and could switch suppliers if needed.

The Commission also considered whether the acquisition would give Google access to commercially sensitive data relating to competing cloud infrastructure providers. Feedback from customers and rivals indicated that the data involved is not sensitive and is generally accessible to other cloud security firms.

Based on these findings, the Commission concluded that the transaction would not significantly impede effective competition in any relevant market. The deal was therefore cleared unconditionally following a Phase I review.

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AI innovation drive accelerates in Singapore with Google support

Google has announced a major expansion of its AI investments in Singapore, strengthening research capabilities, workforce development, and enterprise innovation as part of a long-term regional strategy.

The initiatives were unveiled at the company’s Google for Singapore event, signalling deeper alignment with the nation’s ambition to lead the AI economy.

Research and development form a central pillar of the expansion. Building on the recent launch of a Google DeepMind research lab in Singapore, the company is scaling specialised teams across software engineering, research science, and user experience design.

A new Google Cloud Singapore Engineering Centre will also support enterprises in deploying advanced AI solutions across sectors, including robotics and clean energy.

Healthcare innovation features prominently in the investment roadmap. Partnerships with AI Singapore will support national health AI infrastructure, including access to the MedGemma model to accelerate diagnostics and treatment development.

Google is also launching a security-focused AI Center of Excellence and rolling out age assurance technologies to strengthen online protections for younger users.

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Google issues warning on malware affecting over 40% of Android devices

The US tech giant, Google, has alerted users that more than 40% of Android phones are vulnerable to new malware and spyware due to outdated software. Phones running older versions than Android 13 no longer receive security updates, leaving over a billion users worldwide at risk.

Data shows Android 16 is present on only 7.5% of devices, while versions 15, 14, and 13 still dominate the market.

Slow adoption of updates means many devices remain exposed, even when security patches are available. Google emphasised that outdated phones are particularly unsafe and cannot protect against emerging threats.

Users are advised to upgrade to Android 13 or newer, or purchase a mid-range device that receives regular updates, instead of keeping an old high-end phone without support. Unlike Apple, where most iPhones receive timely updates, older Android devices may never get the necessary security fixes.

The warning highlights the urgent need for users to act immediately to avoid potential data breaches and spyware attacks. Google’s message is clear: using unsupported Android devices is a growing global security concern.

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