Digital standards

Opera brings AI assistant to Opera Mini on Android

Opera, the Norway-based browser maker, has announced the rollout of its AI assistant, Aria, to Opera Mini users on Android. The move represents a strategic effort to bring advanced AI capabilities to users with low-end devices and limited data access, rather than confining such tools to high-spec platforms.

Aria allows users to access up-to-date information, generate images, and learn about a range of topics using a blend of models from OpenAI and Google.

Since its 2005 launch, Opera Mini has been known for saving data during browsing, and Opera claims that the inclusion of Aria won’t compromise that advantage nor increase the app’s size.

It makes the AI assistant more accessible for users in regions where data efficiency is critical, instead of making them choose between smart features and performance.

Opera has long partnered with telecom providers in Africa to offer free data to Opera Mini users. However, last year, it had to end its programme in Kenya due to regulatory restrictions around ads on browser bookmark tiles.

Despite such challenges, Opera Mini has surpassed a billion downloads on Android and now serves more than 100 million users globally.

Alongside this update, Opera continues testing new AI functions, including features that let users manage tabs using natural language and tools that assist with task completion.

An effort like this reflects the company’s ambition to embed AI more deeply into everyday browsing instead of limiting innovation to its main browser.

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AI firm DeepSeek opens up on model deployment tech

Chinese AI startup DeepSeek has announced its intention to share the technology behind its internal inference engine, a move aimed at enhancing collaboration within the open-source AI community.

The company’s inference engine and training framework have played a vital role in accelerating the performance and deployment of its models, including DeepSeek-V3 and R1.

Built on PyTorch, DeepSeek’s training framework is complemented by a modified version of the vLLM inference engine originally developed in the US at UC Berkeley.

While the company will not release the full source code of its engine, it will contribute its design improvements and select components as standalone libraries.

These efforts form part of DeepSeek’s broader open-source initiative, which began earlier this year with the partial release of its AI model code.

Despite this contribution, DeepSeek’s models fall short of the Open Source Initiative’s standards, as the training data and full framework remain restricted.

The company cited limited resources and infrastructure constraints as reasons for not making the engine entirely open-source. Still, the move has been welcomed as a meaningful gesture towards transparency and knowledge-sharing in the AI sector.

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KiloEX loses $7.5 million in oracle hack

A hacker has exploited decentralised exchange KiloEX, draining approximately US$7.5 million by manipulating its price oracle mechanism. The breach led to an immediate suspension of the platform and sparked a cross-industry investigation involving cybersecurity firms and blockchain networks.

The vulnerability centred on KiloEX’s price feed system, which allowed the attacker to manipulate the ETH/USD feed by inputting an artificial entry price of 100 and closing it at 10,000.

According to cybersecurity firm PeckShield, this simple flaw enabled the attacker to steal millions across multiple chains, including $3.3 million from Base, $3.1 million from opBNB, and $1 million from BNB Smart Chain.

KiloEX is working with various security experts and blockchain networks such as BNB Chain and Manta Network to recover the stolen assets.

Funds are reportedly being routed through cross-chain protocols like zkBridge and Meson. Co-founder of Fuzzland, Chaofan Shou, described the breach as stemming from a ‘very simple vulnerability’ in oracle verification, where only intermediaries were validated rather than the original transaction sender.

The attack caused KiloEX’s token price to plummet by over 29% and came just one day after the platform announced a strategic partnership with DWF Labs, aimed at fuelling growth. KiloEX has promised a full incident report and a bounty programme to encourage asset recovery.

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Spotify launches Ads Exchange and Gen AI ads in India

Spotify has introduced its Ads Exchange (SAX) and Generative AI-powered advertisements in India, following a successful pilot in the US and Canada.

The SAX platform aims to give advertisers better control over performance tracking and maximise reach without overloading users with repetitive ads.

Integrated with platforms such as Google DV360, The Trade Desk, and Magnite, SAX enables advertisers to access Spotify’s high-quality inventory and enhance their programmatic strategies. In addition to multimedia formats, podcast ads will soon be included.

Through Generative AI, advertisers can create audio ads within Spotify’s Ads Manager platform at no extra cost, using scripts, voiceovers, and licensed music.

An innovation like this allows brands to produce more ads in shorter intervals with less effort, making the process quicker and more efficient for reaching a broader audience. Arjun Kolady, Head of Sales – India at Spotify, highlighted the ease of scaling campaigns with these new tools.

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Meta to use EU user data for AI training amid scrutiny

Meta Platforms has announced it will begin using public posts, comments, and user interactions with its AI tools to train its AI models in the EU, instead of limiting training data to existing US-based inputs.

The move follows the recent European rollout of Meta AI, which had been delayed since June 2024 due to data privacy concerns raised by regulators. The company said EU users of Facebook and Instagram would receive notifications outlining how their data may be used, along with a link to opt out.

Meta clarified that while questions posed to its AI and public content from adult users may be used, private messages and data from under-18s would be excluded from training.

Instead of expanding quietly, the company is now making its plans public in an attempt to meet the EU’s transparency expectations.

The shift comes after Meta paused its original launch last year at the request of Ireland’s Data Protection Commission, which expressed concerns about using social media content for AI development. The move also drew criticism from advocacy group NOYB, which has urged regulators to intervene more decisively.

Meta joins a growing list of tech firms under scrutiny in Europe. Ireland’s privacy watchdog is already investigating Elon Musk’s X and Google for similar practices involving personal data use in AI model training.

Instead of treating such probes as isolated incidents, the EU appears to be setting a precedent that could reshape how global companies handle user data in AI development.

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X faces EU probe over AI data use

Elon Musk’s X platform is under formal investigation by the Irish Data Protection Commission over its alleged use of public posts from EU users to train the Grok AI chatbot.

The probe is centred on whether X Internet Unlimited Company, the platform’s newly renamed Irish entity, has adhered to key GDPR principles while sharing publicly accessible data, like posts and interactions, with its affiliate xAI, which develops the chatbot.

Concerns have grown over the lack of explicit user consent, especially as other tech giants such as Meta signal similar data usage plans.

A move like this is part of a wider regulatory push in the EU to hold AI developers accountable instead of allowing unchecked experimentation. Experts note that many AI firms have deployed tools under a ‘build first, ask later’ mindset, an approach at odds with Europe’s strict data laws.

Should regulators conclude that public data still requires user consent, it could force a dramatic shift in how AI models are developed, not just in Europe but around the world.

Enterprises are now treading carefully. The investigation into X is already affecting AI adoption across the continent, with legal and reputational risks weighing heavily on decision-makers.

In one case, a Nordic bank halted its AI rollout midstream after its legal team couldn’t confirm whether European data had been used without proper disclosure. Instead of pushing ahead, the project was rebuilt using fully documented, EU-based training data.

The consequences could stretch far beyond the EU. Ireland’s probe might become a global benchmark for how governments view user consent in the age of data scraping and machine learning.

Instead of enforcement being region-specific, this investigation could inspire similar actions from regulators in places like Singapore and Canada. As AI continues to evolve, companies may have no choice but to adopt more transparent practices or face a rising tide of legal scrutiny.

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US exempts key electronics from China import taxes

Smartphones, computers, and key tech components have been granted exemption from the latest round of US tariffs, providing relief to American technology firms heavily reliant on Chinese manufacturing.

The decision, which includes products such as semiconductors, solar cells, and memory cards, marks the first major rollback in President Donald Trump’s trade war with China.

The exemptions, retroactively effective from 5 April, come amid concerns from US tech giants that consumer prices would soar.

Analysts say this move could be a turning point, especially for companies like Apple and Nvidia, which source most of their hardware from China. Industry reaction has been overwhelmingly positive, with suggestions that the policy shift could reshape global tech supply chains.

Despite easing tariffs on electronics, Trump has maintained a strict stance on Chinese trade, citing national security and economic independence.

The White House claims the reprieve gives firms time to shift manufacturing to the US. However, electronic goods will still face a separate 20% tariff due to China’s ties to fentanyl-related trade. Meanwhile, Trump insists high tariffs are essential leverage to renegotiate fairer global trade terms.

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Benchmark backlash hits Meta’s Maverick model

Meta’s latest open-source language model, Llama 4 Maverick, has ranked poorly on a widely used AI benchmark after the company was criticised for initially using a heavily modified, unreleased version to boost its results.

LM Arena, the platform where the performance was measured, has since updated its rules and retested Meta’s vanilla version.

The plain Maverick model, officially named ‘Llama-4-Maverick-17B-128E-Instruct,’ placed behind older competitors such as OpenAI’s GPT-4o, Anthropic’s Claude 3.5 Sonnet, and Google’s Gemini 1.5 Pro.

Meta admitted that the stronger-performing variant used earlier had been ‘optimised for conversationality,’ which likely gave it an unfair advantage in LM Arena’s human-rated comparisons.

Although LM Arena’s reliability as a performance gauge has been questioned, the controversy has raised concerns over transparency and benchmarking practices in the AI industry.

Meta has since released its open-source model to developers, encouraging them to customise it for real-world use and provide feedback.

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Meta under fire for scrapping diversity and moderation policies

The NAACP Legal Defense Fund (LDF) has withdrawn from Meta’s civil rights advisory group, citing deep concerns over the company’s rollback of diversity, equity and inclusion (DEI) policies and changes to content moderation.

The decision follows Meta’s January announcement that it would end DEI programmes, eliminate factchecking teams, and revise moderation rules across its platforms.

Civil rights organisations, including LDF, expressed alarm at the time, warning that the changes could silence marginalised voices and increase the risk of online harm.

In a letter to Meta CEO Mark Zuckerberg, they criticised the company for failing to consult the advisory group or consider the impact on protected communities. LDF’s Todd A Cox later said the policy shift posed a ‘grave risk’ to Black communities and public discourse.

LDF also noted that the company had seen progress under previous DEI policies, including a significant increase in Black and Hispanic employees.

Its reversal, the group argues, may breach federal civil rights laws and expose Meta to legal consequences.

LDF urged Meta to assess the effects of its policy changes and increase transparency about how harmful content is reported and removed. Meta has not commented publicly on the matter.

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Mood-based AI search tool tested by Netflix

Netflix is testing a new AI-powered search tool that could transform how users discover content on the platform.

Developed in collaboration with OpenAI, the feature goes beyond traditional search methods by allowing subscribers to use natural language queries based on mood, themes or descriptions rather than just titles or actors.

Currently, the tool is available only to a limited number of users in Australia and New Zealand using iOS devices, with opt-in access required. Netflix plans to expand the test to more regions, including the United States, in the near future.

The move highlights the streaming giant’s growing investment in AI, which it already uses for personalised recommendations.

Despite embracing AI, Netflix has stated it does not intend to replace creatives with technology. The company has publicly acknowledged concerns from the film and television industry, promising that writers, actors, and filmmakers remain central to its content creation strategy.

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