Development

South Korea unveils megagrowth plan with AI expressway and energy reform

President Lee Jae-myung has announced a sweeping national megagrowth plan that positions South Korea at the forefront of AI and energy transformation.

The initiative includes the creation of an ‘AI expressway’, starting with the Ulsan AI data centre, underpinned by bold tax incentives and regulatory reforms to attract private sector investment. Complementing this is a proposed investment of 100 trillion won to accelerate AI innovation, next-generation semiconductors, and the development of AI infrastructure and innovation zones.

On the energy front, the government has launched a dedicated task force to develop an AI-powered next-generation power grid. This ‘electric highway’ aims to integrate AI technology into renewable energy distribution and grid modernisation without needing vast new infrastructure.

Complementing the power grid overhaul, Korea Electric Power Corp. (KEPCO) plans to invest around 73 trillion won by 2038 to expand transmission lines and upgrade the power infrastructure serving major semiconductor complexes.

Together, these measures form a robust blueprint that aligns digital transformation with energy security, aimed at keeping South Korea globally competitive while responding to rising electricity demands from AI and other tech industries.

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India must ramp up AI and chip production to meet global competition

At the Emkay Confluence in Mumbai, Chief Economic Adviser V. Anantha Nageswaran emphasised that while trade-related concerns remain significant, they must not obscure the urgent need for India to boost its AI and semiconductor sectors.

He pointed to AI’s transformative economic potential and strategic importance, warning that India must act decisively to remain competitive as the United States and China advance aggressively in these domains.

By focusing on energy transition, energy security, and enhanced collaboration across sectors, Nageswaran argued that India can strengthen its innovation capacity and technological self-reliance.

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New digital headquarters aims to embed AI across Kazakhstan’s public services

Prime Minister Olzhas Bektenov established a digital transformation group, or digital headquarters, to advance AI integration across Kazakhstan, following President Tokayev’s directives on 11 August 2025.

The group includes senior officials, such as the deputy prime minister, the head of strategic planning, the minister of digital development, innovation, and aerospace industry, and the presidential digitalisation advisor. The group is tasked with implementing nine priority areas outlined by the president.

These span AI deployment in the economy, public administration, and healthcare; digital strategy development; IT architecture modernisation; cybersecurity; support for IT startups; the national QazTech platform; and innovative city initiatives.

A significant plan component involves crafting a roadmap with the Samruk Kazyna Sovereign Wealth Fund to embed AI in production and boost labour productivity. AI solutions are expected to improve diagnostics, personalise treatment, enable continuous patient monitoring, and streamline workflows in healthcare. Startups will gain access to the Ministry of Health infrastructure and integration into a unified medical database.

Consolidating government communication via the Aitu national messenger, IT modernisation, and strengthened cybersecurity aims to create a seamless, safe digital environment for citizens. The emphasis is swift collaboration to address AI integration challenges across all sectors.

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China debuts quantum-embedded GNN for drug discovery

According to Science and Technology Daily, Chinese researchers have reported a breakthrough in quantum drug discovery using edge encoding. Origin Quantum, USTC, and the Hefei AI Institute built a quantum-embedded graph neural network (GNN) to predict drug-molecule properties.

In drug development, graph neural networks model molecules as atoms and bonds. Classical and some quantum approaches handle atoms well but struggle with bonds. The gap limits accuracy and screening speed.

The team from China introduced quantum edge and node embeddings to process bonds and atoms simultaneously at the quantum level. The quantum-embedded GNN unifies both signals in one pass. Results show sharper predictions for the properties of candidate drugs.

Validation on the Origin Wukong quantum computer indicates stable performance despite today’s noisy hardware. Benchmarking suggests efficiency gains for molecular screening pipelines. Researchers say the approach is production-oriented as devices scale.

Findings appear in the Journal of Chemical Information and Modelling. Collaboration highlights China’s push to integrate quantum computing with biopharmaceutical research and development. More exhaustive testing on larger qubit counts is anticipated.

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Google patches critical Chrome bugs enabling code execution

Chrome security update fixes six flaws that could enable arbitrary code execution. Stable channel 139.0.7258.127/.128 (Windows, Mac) and .127 (Linux) ships high-severity patches that protect user data and system integrity.

CVE-2025-8879 is a heap buffer overflow in libaom’s video codec. CVE-2025-8880 is a V8 race condition reported by Seunghyun Lee. CVE-2025-8901 is an out-of-bounds write in ANGLE.

Detection methods included AddressSanitizer, MemorySanitizer, UndefinedBehaviorSanitizer, Control Flow Integrity, libFuzzer, and AFL. Further fixes address CVE-2025-8881 in File Picker and CVE-2025-8882, a use-after-free in Aura.

Successful exploitation could allow code to run with browser privileges through overflows and race conditions. The automatic rollout is staged; users should update it manually by going to Settings > About Chrome.

Administrators should prioritise rapid deployment in enterprise fleets. Google credited external researchers, anonymous contributors, and the Big Sleep project for coordinated reporting and early discovery.

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Google rolls out Preferred Sources for tailored search results

Google has introduced a new ‘Preferred Sources’ feature that allows users to curate their search results by selecting favourite websites. Once added, stories from these sites will appear more prominently in the ‘Top Stories’ section and a dedicated ‘From your sources’ section on the search results page.

Now rolling out in India and the US, the feature aims to improve search quality by helping users avoid low-value content. There is no limit to the number of sources that can be chosen, and early testers typically added more than four.

While preferred outlets will appear more often, search results will still include content from other websites.

To set preferred sources, users can click the icon next to the ‘Top Stories’ section when searching for a trending topic, find the outlet they want, and reload results.

Google says the change may also benefit publishers, offering them more visibility when AI-driven search engines sharply reduce traffic to news websites.

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Perplexity AI offers US$34.5b for Google Chrome

Perplexity AI has made a surprise US$34.5 billion offer to acquire Google’s Chrome browser, which could align with antitrust measures under consideration in the US.

The San Francisco-based startup submitted the proposal in a letter of intent, claiming it would keep Chrome independent while prioritising openness and consumer protection.

The bid arrives as Google awaits a court ruling on potential remedies after being found to have maintained an illegal monopoly in online search.

US government lawyers have suggested Chrome’s divestment instead of allowing Google to strengthen its dominance through AI. Google has urged the court to reject such a move, warning that a sale could harm innovation and reduce quality.

Analysts at Baird Equity Research said Perplexity’s offer undervalues Chrome and may be intended to prompt rival bids or influence the judge’s decision. They added that Perplexity, which already operates its browser, could gain an advantage if Chrome became independent.

Google argues that most Chrome users are outside the US, meaning a forced sale would have global implications. The ruling is expected by the end of August, with the outcome likely to reshape the competitive landscape for browsers as AI increasingly shapes how users access the internet.

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AI agents face prompt injection and persistence risks, researchers warn

Zenity Labs warned at Black Hat USA that widely used AI agents can be hijacked without interaction. Attacks could exfiltrate data, manipulate workflows, impersonate users, and persist via agent memory. Researchers said knowledge sources and instructions could be poisoned.

Demos showed risks across major platforms. ChatGPT was tricked into accessing a linked Google Drive via email prompt injection. Microsoft Copilot Studio agents leaked CRM data. Salesforce Einstein rerouted customer emails. Gemini and Microsoft 365 Copilot were steered into insider-style attacks.

Vendors were notified under coordinated disclosure. Microsoft stated that ongoing platform updates have stopped the reported behaviour and highlighted built-in safeguards. OpenAI confirmed a patch and a bug bounty programme. Salesforce said its issue was fixed. Google pointed to newly deployed, layered defences.

Enterprise adoption of AI agents is accelerating, raising the stakes for governance and security. Aim Labs, which had previously flagged similar zero-click risks, said frameworks often lack guardrails. Responsibility frequently falls on organisations deploying agents, noted Aim Labs’ Itay Ravia.

Researchers and vendors emphasise layered defence against prompt injection and misuse. Strong access controls, careful tool exposure, and monitoring of agent memory and connectors remain priorities as agent capabilities expand in production.

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YouTube’s AI flags viewers as minors, creators demand safeguards

YouTube’s new AI age check, launched on 13 August 2025, flags suspected minors based on their viewing habits. Over 50,000 creators petitioned against it, calling it ‘AI spying’. The backlash reveals deep tensions between child safety and online anonymity.

Flagged users must verify their age with ID, credit card, or a facial scan. Creators say the policy risks normalising surveillance and shrinking digital freedoms.

SpyCloud’s 2025 report found a 22% jump in stolen identities, raising alarm over data uploads. Critics fear YouTube’s tool could invite hackers. Past scandals over AI-generated content have already hurt creator trust.

Users refer to it on X as a ‘digital ID dragnet’. Many are switching platforms or tweaking content to avoid flags. WebProNews says creators demand opt-outs, transparency, and stronger human oversight of AI systems.

As global regulation tightens, YouTube could shape new norms. Experts urge a balance between safety and privacy. Creators push for deletion rules to avoid identity risks in an increasingly surveilled online world.

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UK-based ODI outlines vision for EU AI Act and data policy

The Open Data Institute (ODI) has published a manifesto setting out six principles for shaping European Union policy on AI and data. Aimed at supporting policymakers, it aligns with the EU’s upcoming digital reforms, including the AI Act and the review of the bloc’s digital framework.

Although based in the UK, the ODI has previously contributed to EU policymaking, including work on the General-Purpose AI Code of Practice and consultations on the use of health data. The organisation also launched a similar manifesto for UK data and AI policy in 2024.

The ODI states that the EU has a chance to establish a global model of digital governance, prioritizing people’s interests. Director of research Elena Simperl called for robust open data infrastructure, inclusive participation, and independent oversight to build trust, support innovation, and protect values.

Drawing on the EU’s Competitiveness Compass and the Draghi report, the six principles are: data infrastructure, open data, trust, independent organisations, an inclusive data ecosystem, and data skills. The goal is to balance regulation and innovation while upholding rights, values, and interoperability.

The ODI highlights the need to limit bias and inequality, broaden access to data and skills, and support smaller enterprises. It argues that strong governance should be treated like physical infrastructure, enabling competitiveness while safeguarding rights and public trust in the AI era.

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