Content Policy

Google admits using opted-out content for AI training

Google has admitted in court that it can use website content to train AI features in its search products, even when publishers have opted out of such training.

Although Google offers a way for sites to block their data from being used by its AI lab, DeepMind, the company confirmed that its broader search division can still use that data for AI-powered tools like AI Overviews.

An initiative like this has raised concern among publishers who seek reduced traffic as Google’s AI summarises answers directly at the top of search results, diverting users from clicking through to original sources.

Eli Collins, a vice-president at Google DeepMind, acknowledged during a Washington antitrust trial that Google’s search team could train AI using data from websites that had explicitly opted out.

The only way for publishers to fully prevent their content from being used in this way is by opting out of being indexed by Google Search altogether—something that would effectively make them invisible on the web.

Google’s approach relies on the robots.txt file, a standard that tells search bots whether they are allowed to crawl a site.

The trial is part of a broader effort by the US Department of Justice to address Google’s dominance in the search market, which a judge previously ruled had been unlawfully maintained.

The DOJ is now asking the court to impose major changes, including forcing Google to sell its Chrome browser and stop paying to be the default search engine on other devices. These changes would also apply to Google’s AI products, which the DOJ argues benefit from its monopoly.

Testimony also revealed internal discussions at Google about how using extensive search data, such as user session logs and search rankings, could significantly enhance its AI models.

Although no model was confirmed to have been built using that data, court documents showed that top executives like DeepMind CEO Demis Hassabis had expressed interest in doing so.

Google’s lawyers have argued that competitors in AI remain strong, with many relying on direct data partnerships instead of web scraping.

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UK refuses to include Online Safety Act in US trade talks

The UK government has ruled out watering down the Online Safety Act as part of any trade negotiations with the US, despite pressure from American tech giants.

Speaking to MPs on the Science, Innovation and Technology Committee, Baroness Jones of Whitchurch, the parliamentary under-secretary for online safety, stated unequivocally that the legislation was ‘not up for negotiation’.

‘There have been clear instructions from the Prime Minister,’ she said. ‘The Online Safety Act is not part of the trade deal discussions. It’s a piece of legislation — it can’t just be negotiated away.’

Reports had suggested that President Donald Trump’s administration might seek to make loosening the UK’s online safety rules a condition of a post-Brexit trade agreement, following lobbying from large US-based technology firms.

However, Baroness Jones said the legislation was well into its implementation phase and that ministers were ‘happy to reassure everybody’ that the government is sticking to it.

The Online Safety Act will require tech platforms that host user-generated content, such as social media firms, to take active steps to protect users — especially children — from harmful and illegal content.

Non-compliant companies may face fines of up to £18 million or 10% of global turnover, whichever is greater. In extreme cases, platforms could be blocked from operating in the UK.

Mark Bunting, a representative of Ofcom, which is overseeing enforcement of the new rules, said the regulator would have taken action had the legislation been in force during last summer’s riots in Southport, which were exacerbated by online misinformation.

His comments contrasted with tech firms including Meta, TikTok and X, which claimed in earlier hearings that little would have changed under the new rules.

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OpenAI’s CEO Altman confirms rollback of GPT-4o after criticism

OpenAI has reversed a recent update to its GPT-4o model after users complained it had become overly flattering and blindly agreeable. The behaviour, widely mocked online, saw ChatGPT praising dangerous or clearly misguided user ideas, leading to concerns over the model’s reliability and integrity.

The change had been part of a broader attempt to make GPT-4o’s default personality feel more ‘intuitive and effective’. However, OpenAI admitted the update relied too heavily on short-term user feedback and failed to consider how interactions evolve over time.

In a blog post published Tuesday, OpenAI said the model began producing responses that were ‘overly supportive but disingenuous’. The company acknowledged that sycophantic interactions could feel ‘uncomfortable, unsettling, and cause distress’.

Following CEO Sam Altman’s weekend announcement of an impending rollback, OpenAI confirmed that the previous, more balanced version of GPT-4o had been reinstated.

It also outlined steps to avoid similar problems in future, including refining model training, revising system prompts, and expanding safety guardrails to improve honesty and transparency.

Further changes in development include real-time feedback mechanisms and allowing users to choose between multiple ChatGPT personalities. OpenAI says it aims to incorporate more diverse cultural perspectives and give users greater control over the assistant’s behaviour.

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Trump’s first 100 days show steady tech policy

In his blog post ‘Tech continuity in President Trump’s first 100 days,’ Jovan Kurbalija highlights that Trump’s approach to technology remained remarkably stable despite political turbulence in trade and environmental policy. Out of 139 executive orders, only nine directly addressed tech issues, focusing mainly on digital finance, AI leadership, and cybersecurity, reflecting a longstanding US tradition of business-centric tech governance.

Trump’s administration reinforced the idea of letting the tech sector evolve without heavy regulatory interference, even as international players like the EU pushed for stronger digital sovereignty measures. Content moderation policies saw a significant shift, notably with an executive order to curb federal involvement in online censorship, aligning with moves by platforms like Meta and X (formerly Twitter) toward deregulation.

Meanwhile, the prolonged TikTok saga underlined the growing intersection of tech and geopolitics, with ByteDance receiving a deadline extension to sell its US operations amid rising tensions with China. In AI policy, Trump steered away from Biden-era safety concerns, favouring economic competitiveness and educational reforms to strengthen American AI leadership, while public consultations revealed a broad range of industry perspectives.

Kurbalija also noted the administration’s steady hand in cybersecurity, focusing on technical infrastructure while minimising concern over misinformation, and in digital economy matters, where new tariffs and the removal of the de minimis import exemption pointed toward a potentially fragmented global internet. In the cryptocurrency sector, Trump adopted a crypto-friendly stance by creating a Strategic Bitcoin Reserve and easing previous regulatory constraints, though these bold moves sparked fears of financial volatility.

Despite these tactical shifts, Kurbalija concludes that Trump’s overarching tech policy remains one of continuity, firmly rooted in supporting private innovation while navigating increasingly strained global digital relations.

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Alibaba launches Qwen3 AI model

As the AI race intensifies in China, Alibaba has unveiled Qwen3, the latest version of its open-source large language model, aiming to compete with top-tier rivals like DeepSeek.

The company claims Qwen3 significantly improves reasoning, instruction following, tool use, and multilingual abilities compared to earlier versions.

Trained on 36 trillion tokens—double that of Qwen2.5—Qwen3 is available for free download on platforms like Hugging Face, GitHub, and Modelscope, instead of being limited to Alibaba’s own channels.

The model also powers Alibaba’s AI assistant, Quark, and will soon be accessible via API through its Model Studio platform.

Alibaba says the Qwen model family has already been downloaded over 300 million times, with developers creating more than 100,000 derivatives based on it.

With Qwen3, the company hopes to cement its place among the world’s AI leaders instead of trailing behind American and Chinese rivals.

Although the US still leads the AI field—according to Stanford’s AI Index 2025, it produced 40 major models last year versus China’s 15— Chinese firms like DeepSeek, Butterfly Effect, and now Alibaba are pushing to close the quality gap.

The global competition, it seems, is far from settled.

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Deepfake victims gain new rights with House-approved bill

The US House of Representatives has passed the ‘Take It Down’ Act with overwhelming bipartisan support, aiming to protect Americans from the spread of deepfake and revenge pornography.

The bill, approved by a 409-2 vote, criminalises the distribution of non-consensual intimate imagery—including AI-generated content—and now heads to President Donald Trump for his signature.

First Lady Melania Trump, who returned to public advocacy earlier this year, played a key role in supporting the legislation. She lobbied lawmakers last month and celebrated the bill’s passage, saying she was honoured to help guide it through Congress.

The White House confirmed she will attend the signing ceremony.

The law requires social media platforms and similar websites to remove such harmful content upon request from victims, instead of allowing it to remain unchecked.

Victims of deepfake pornography have included both public figures such as Taylor Swift and Alexandria Ocasio-Cortez, and private individuals like high school students.

Introduced by Republican Senator Ted Cruz and backed by Democratic lawmakers including Amy Klobuchar and Madeleine Dean, the bill reflects growing concern across party lines about online abuse.

Melania Trump, echoing her earlier ‘Be Best’ initiative, stressed the need to ensure young people—especially girls—can navigate the internet safely instead of being left vulnerable to digital exploitation.

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ChatGPT adds ad-free shopping with new update

OpenAI has introduced significant improvements to ChatGPT’s search functionality, notably launching an ad-free shopping tool that lets users find, compare, and purchase products directly.

Unlike traditional search engines, OpenAI emphasises that product results are selected independently instead of being sponsored listings. The chatbot now detects when someone is looking to shop, such as for gifts or electronics, and responds with product options, prices, reviews, and purchase links.

The development follows news that ChatGPT’s real-time search feature processed over 1 billion queries in just a week, despite only being introduced last November.

With this rapid growth, OpenAI is positioning ChatGPT as a serious rival to Google, whose search business depends heavily on paid advertising.

By offering a shopping experience without ads, OpenAI appears to be challenging the very foundation of Google’s revenue model.

In addition to shopping, ChatGPT’s search now offers multiple enhancements: users can expect better citation handling, more precise attributions linked to parts of the answer, autocomplete suggestions, trending topics, and even real-time responses through WhatsApp via 1-800-ChatGPT.

These upgrades aim to make the search experience more intuitive and informative instead of cluttered or commercialised.

The updates are being rolled out globally to all ChatGPT users, whether on a paid plan, using the free version, or even not logged in. OpenAI also clarified that websites allowing its crawler to access their content may appear in search results, with referral traffic marked as coming from ChatGPT.

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UK government urged to outlaw apps creating deepfake abuse images

The Children’s Commissioner has urged the UK Government to ban AI apps that create sexually explicit images through “nudification” technology. AI tools capable of manipulating real photos to make people appear naked are being used to target children.

Concerns in the UK are growing as these apps are now widely accessible online, often through social media and search platforms. In a newly published report, Dame Rachel warned that children, particularly girls, are altering their online behaviour out of fear of becoming victims of such technologies.

She stressed that while AI holds great potential, it also poses serious risks to children’s safety. The report also recommends stronger legal duties for AI developers and improved systems to remove explicit deepfake content from the internet.

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SK Telecom begins SIM card replacement after data breach

South Korea’s largest carrier, SK Telecom, began replacing SIM cards for its 23 million customers on Monday following a serious data breach.

Instead of revealing the full extent of the damage or the perpetrators, the company has apologised and offered free USIM chip replacements at 2,600 stores nationwide, urging users to either change their chips or enrol in an information protection service.

The breach, caused by malicious code, compromised personal information and prompted a government-led review of South Korea’s data protection systems.

However, SK Telecom has secured less than five percent of the USIM chips required, planning to procure an additional five million by the end of May instead of having enough stock ready for immediate replacement.

Frustrated customers, like 30-year-old Jang waiting in line in Seoul, criticised the company for failing to be transparent about the amount of data leaked and the number of users affected.

Instead of providing clear answers, SK Telecom has focused on encouraging users to seek chip replacements or protective measures.

South Korea, often regarded as one of the most connected countries globally, has faced repeated cyberattacks, many attributed to North Korea.

Just last year, police confirmed that North Korean hackers had stolen over a gigabyte of sensitive financial data from a South Korean court system over a two-year span.

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Quantum encryption achieves new milestone without cryogenics

Computer scientists at Toshiba Europe have set a new record by distributing quantum encryption keys across 158 miles using standard computer equipment and existing fibre-optic infrastructure.

Instead of relying on expensive cryogenic cooling, which is often required in quantum computing, the team achieved this feat at room temperature, marking a significant breakthrough in the field.

Experts believe this development could lead to the arrival of metropolitan-scale quantum encryption networks within a decade.

David Awschalom, a professor at the University of Chicago, expressed optimism that quantum encryption would soon become commonplace, reflecting a growing confidence in the potential of quantum technologies instead of viewing them as distant possibilities.

Quantum encryption differs sharply from modern encryption, which depends on mathematical algorithms to scramble data. Instead of mathematical calculations, quantum encryption uses the principles of quantum mechanics to secure data through Quantum Key Distribution (QKD).

Thanks to the laws of quantum physics, any attempt to intercept quantum-encrypted data would immediately alert the original sender, offering security that may prove virtually unbreakable.

Until recently, the challenge was distributing quantum keys over long distances because traditional fibre-optic lines distort delicate quantum signals. However, Toshiba’s team found a cost-effective solution using twin-field quantum key distribution (TF-QKD) instead of resorting to expensive new infrastructure.

Their success could pave the way for a quantum internet within decades, transforming what was once considered purely theoretical into a real-world possibility.

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