Digital cooperation

Google urges users to update Chrome after V8 flaw patched

Google has patched a high-severity flaw in its Chrome browser with the release of version 139, addressing vulnerability CVE-2025-9132 in the V8 JavaScript engine.

The out-of-bounds write issue was discovered by Big Sleep AI, a tool built by Google DeepMind and Project Zero to automate vulnerability detection in real-world software.

Chrome 139 updates (Windows/macOS: 139.0.7258.138/.139, Linux: 139.0.7258.138) are now rolling out to users. Google has not confirmed whether the flaw is being actively exploited.

Users are strongly advised to install the latest update to ensure protection, as V8 powers both JavaScript and WebAssembly within Chrome.

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New research shows AI bias against human content

A new study reveals that prominent AI models now show a marked preference for AI‑generated content over that created by humans.

Tests involving GPT‑3.5, GPT-4 and Llama 3.1 demonstrated a consistent bias, with models selecting AI‑authored text significantly more often than human‑written equivalents.

Researchers warn this tendency could marginalise human creativity, especially in fields like education, hiring and the arts, where original thought is crucial.

There are concerns that such bias may arise not by accident but by design flaws embedded within the development of these systems.

Policymakers and developers are urged to tackle this bias head‑on to ensure future AI complements rather than replaces human contribution.

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Google prepares Duolingo rival using Translate

Google Translate may soon evolve into a full-featured language learning tool, introducing AI-powered lessons rivalling apps like Duolingo.

The latest Translate app release recently uncovered a hidden feature called Practice. It enables users to take part in interactive learning scenarios.

Early tests allow learners to choose languages such as Spanish and French, then engage with situational exercises from beginner to advanced levels.

The tool personalises lessons using AI, adapting difficulty and content based on a user’s goals, such as preparing for specific trips.

Users can track progress, receive daily practice reminders, and customise prompts for listening and speaking drills through a dedicated settings panel.

The feature resembles gamified learning apps and may join Google’s premium AI offerings, though pricing and launch plans remain unconfirmed.

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Meta partners with Scale AI to chase superintelligence

Meta is launching a research lab focused on superintelligence, led by Scale AI founder Alexandr Wang, in an attempt to regain ground in the global AI race.

Mark Zuckerberg is reportedly in talks to invest billions into Scale, reflecting strong confidence in Wang’s data-driven approach and industry influence.

While Meta’s past efforts with its Llama models gained traction, its latest release, Llama 4, failed to meet expectations and drew criticism.

Wang’s appointment arrives during an ongoing talent exodus from Meta, with several senior AI researchers departing for rivals or founding startups.

The new lab is separate from Meta’s existing FAIR division, led by Yann LeCun, who has dismissed the idea of chasing superintelligence. Meta’s partnership with Scale mirrors deals by Microsoft, Amazon, and Google, aiming to secure top AI talent without formal acquisitions.

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Study finds chain-of-thought reasoning in LLMs is a brittle mirage

A new study from Arizona State University researchers suggests that chain-of-thought reasoning in large language models (LLMs) is closer to pattern matching than accurate logical inference. The findings challenge assumptions about human-like intelligence in these systems.

The researchers used a data distribution lens to examine where chain-of-thought fails, testing models on new tasks, different reasoning lengths, and altered prompt formats. Across all cases, performance degraded sharply outside familiar training structures.

Their framework, DataAlchemy, showed that models replicate training patterns rather than reason abstractly. Failures could be patched quickly through fine-tuning on small new datasets, but this reinforced the pattern-matching theory.

The paper warns developers against relying on chain-of-thought reasoning for high-stakes domains, emphasising the risks of fluent but flawed rationale. It urges practitioners to implement rigorous out-of-distribution testing and treat fine-tuning as a limited patch.

The researchers argue that applications can remain effective for enterprise use by systematically mapping a model’s boundaries and aligning them with predictable tasks. Targeted fine-tuning then becomes a tool for precision rather than broad generalisation.

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Series K funding pushes Databricks valuation over $100bn

Databricks has secured a fresh funding round that pushes its valuation beyond $100bn, cementing its place among the world’s most valuable private tech firms. The Series K deal marks a sharp rise from the company’s $62bn figure in late 2024 and underscores investor confidence in its long-term AI strategy.

The new capital will accelerate Databricks’ global expansion, fuel acquisitions in the AI space, and support product innovation. Upcoming launches include Agent Bricks, a platform for enterprise-grade AI agents, and Lakebase, a new operational database that extends the company’s ecosystem.

Chief executive Ali Ghodsi said the round was oversubscribed, reflecting strong investor demand. He emphasised that businesses can leverage enterprise data to create secure AI apps and agents, noting that this momentum supports Databricks’ growth across 15,000 customers.

The company has also expanded its role in the broader AI ecosystem through partnerships with Microsoft, Google Cloud, Anthropic, SAP, and Palantir. Last year, it opened a European headquarters in London to cement the UK as a key market and strengthen ties with global enterprises.

Databricks has avoided confirming an IPO timeline, though Ghodsi told CNBC that investor appetite surged after fintech Figma’s listing. With Klarna now eyeing a return to New York, Databricks’ soaring valuation highlights how leading AI firms continue to attract capital even as market conditions shift.

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TeraWulf shifts power capacity toward AI with Google support

TeraWulf has secured a $3.2 billion financial backstop from Google to develop a 160-megawatt data centre at its Lake Mariner site in New York. Google will receive warrants for 32.5 million shares, lifting its stake in TeraWulf to about 14%.

Unlike its existing Bitcoin mining activities, the new deal focuses exclusively on AI and high-performance computing (HPC) workloads. TeraWulf confirmed it will maintain its Bitcoin mining operations but has no plans for expansion in that area.

The pivot reflects a broader trend in the mining industry, where companies increasingly shift capacity toward AI following the April 2024 halving that cut block rewards.

Executives highlighted that while Bitcoin mining offers immediate cash flow and grid flexibility, the long-term growth lies in powering AI and HPC demand. Research from VanEck suggests that if miners redirected just 20% of their power toward AI hosting, the industry could see $13.9 billion in additional annual revenue.

TeraWulf’s leadership said the partnership with Google positions the company as a key player in building next-generation digital infrastructure.

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Google adds Gemini AI audio to Docs for better accessibility

Google has introduced a new feature in Docs that allows Workspace subscribers to turn written documents into audio using its Gemini AI assistant.

The tool produces natural-sounding voices, offers playback controls such as pausing and rewinding, and even highlights text as it is read. The rollout marks a step toward transforming Docs from a simple text editor into a multimedia platform that serves both accessibility and productivity needs.

Available under the Tools menu, the feature caters to auditory learners, professionals on the move, and users with visual impairments.

Gemini provides several AI voice options and synchronises narration with text, offering an audiobook-like experience that could change how people review drafts, collaborate remotely, or proofread reports.

The audio tool is limited to select Workspace plans, including Business, Enterprise, and Education, reflecting Google’s strategy of tying advanced AI functions to premium tiers.

Analysts believe the integration could encourage organisations to upgrade, especially as Google seeks to keep pace with rivals such as Microsoft, which has similar Copilot features in Office.

Looking ahead, experts suggest Gemini’s audio capabilities could expand to real-time translation and interactive playback.

By weaving audio into Docs, Google strengthens its position in the growing competition over AI-powered productivity while pushing for more inclusive and efficient workflows.

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The first state to issue a government-backed stablecoin

Wyoming has launched the Frontier Stable Token (FRNT), becoming the first US state to issue a government-backed stablecoin. The initiative aims to modernise payments for citizens and businesses, offering a secure and efficient way to transact.

The token is fully reserved, backed by dollars and short-term treasuries held in trust, and structured to be 2% over-collateralised. State officials emphasised that this design strengthens confidence and avoids the risks often linked to privately issued stablecoins.

The launch was announced during the Wyoming Blockchain Symposium and coincided with new federal legislation, the GENIUS Act, which sets more explicit rules for stablecoin issuers.

Ahead of the rollout, Wyoming tested a blockchain-based payment to a government contractor, proving the token’s ability to reduce costs and streamline transactions.

By introducing FRNT, Wyoming has positioned itself as a digital asset pioneer within the US. The move reflects growing confidence in stablecoins, which have already reached a $260 billion market and could expand to $1 trillion within years.

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EU and Bangladesh strengthen cooperation on cybersecurity and digital economy

The EU has engaged in talks with the Bangladesh Telecommunication Regulatory Commission to strengthen cooperation on data protection, cybersecurity, and the country’s digital economy.

The meeting was led by EU Ambassador Michael Miller and BTRC Chairman Major General (retd) Md Emdad ul Bari.

The EU emphasised safeguarding fundamental rights while encouraging innovation and investment. With opportunities in broadband expansion, 5G deployment, and last-mile connectivity, the EU reaffirmed its commitment to supporting Bangladesh’s vision for a secure and inclusive digital future.

Both parties agreed to deepen collaboration, with the EU offering technical expertise under its Global Gateway strategy to help Bangladesh build a safer and more connected digital landscape.

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