AWS CEO Matt Garman celebrated the partnership as a ‘powerhouse combination’, noting that the models outperform comparable options, claiming they are three times more price-efficient than Gemini and five times more than DeepSeek‑R1, when deployed via Bedrock.
Rich functionality comes with these models: wide context capacity, chain-of-thought transparency, adjustable reasoning levels, and compatibility with agentic workflows. Bedrock offers secure deployment with Guardrails support, while SageMaker enables experimentation across AWS regions.
Financial markets took notice. AWS stock rose after the announcement, as analysts viewed the pairing with OpenAI’s open models as a meaningful step toward boosting its AI offerings amid fierce cloud rivalry.
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The US government has finalised a deal with OpenAI to integrate ChatGPT Enterprise across all federal agencies. Each agency will access ChatGPT for $1 to support AI adoption and modernise operations.
According to the General Services Administration, the move aligns with the White House’s AI Action Plan, which aims to make the US a global leader in AI development. The plan promotes AI integration, innovation, and regulation across public institutions.
However, privacy advocates and cybersecurity experts have raised concerns over the risks of centralised AI in government. Critics cite the potential for mass surveillance, narrative control, and sensitive data exposure.
Sam Altman, CEO of OpenAI, has cautioned users that AI conversations are not protected under privacy laws and could be used in legal proceedings. Storing data on centralised servers via large language models raises concerns over civil liberties and government overreach.
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China’s Ministry of State Security has warned of foreign attempts to collect sensitive biometric data via crypto schemes. The ministry warned that foreign agents are illegally harvesting iris scans and facial data, risking personal privacy and national security.
The advisory noted recent cases in which foreign intelligence services exploited biometric technologies to spy on individuals within China. Cryptocurrencies incentivised people worldwide to submit iris scans, which were sent overseas.
Although no specific companies were named, the description resembled the approach of the crypto firm World, formerly known as Worldcoin.
Biometric identification methods have proliferated across many sectors due to their accuracy and convenience. However, the ministry stressed the vulnerability of such systems to data breaches and misuse.
Iris patterns, unique and challenging to replicate, are prized by malicious actors.
Citizens are urged to remain cautious, carefully review privacy policies, and question how their biometric information is handled.
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Beijing United Family Hospital and Alibaba DAMO Academy have launched a joint effort to bring advanced AI screening into clinical use.
Their flagship project uses a plain CT scan combined with DAMO Academy’s multi-condition detection AI to facilitate early identification of gastrointestinal cancers and chronic diseases.
The technology has already internationally earned the FDA’s ‘Breakthrough Device’ designation. Collaborators stress that combining AI with established international standards supports more accurate, patient-centred care.
Taiwan’s Digital Minister, Huang Yen-nun, discussed deeper cooperation in digital and AI technologies with the United States during the recent APEC conference in Incheon—the talks from 3 August to 6 August marked a new phase in bilateral tech collaboration.
Huang confirmed that the APEC gathering had produced its first joint ministerial statement on digital and AI policy. Ministers pledged to enhance connectivity, prevent digital exclusion, promote trustworthy AI, and accelerate the adoption of responsible technology across the Asia-Pacific region.
Digital goals of Taiwan closely align with the APEC declaration, Huang said, particularly in areas such as online fraud prevention, resilience-building, and expanding the digital economy. He framed the agreement as a strong alignment with national priorities.
Michael Kratsios, director of the White House Office of Science and Technology Policy, was highlighted as a key ally. Huang also held talks with representatives from Japan and Southeast Asia to explore regional cooperation in emerging technologies.
Cybersecurity and semiconductors remain central to Taiwan’s leadership in the technology sector. However, Huang acknowledged that further investment and collaboration with digital trailblazers, such as those in the United States, are needed to maintain the country’s edge in high-value innovation.
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The crackdown follows the discovery that organised criminal groups are operating scam centres across Southeast Asia, hacking WhatsApp accounts or adding users to group chats to lure victims into fake investment schemes and other types of fraud.
In one case, WhatsApp, Meta, and OpenAI collaborated to disrupt a Cambodian cybercrime group that used ChatGPT to generate fake instructions for a rent-a-scooter pyramid scheme.
Victims were enticed with offers of cash for social media engagement before being moved to private chats and pressured to make upfront payments via cryptocurrency platforms.
Meta warned that these scams often stem from well-organised networks in Southeast Asia, some exploiting forced labour. Authorities continue to urge the public to remain vigilant, enable features such as WhatsApp’s two-step verification, and be wary of suspicious or unsolicited messages.
It should be mentioned that these scams have also drawn political attention in the USA. Namely, US Senator Maggie Hassan has urged SpaceX CEO Elon Musk to act against transnational criminal groups in Southeast Asia that use Starlink satellite internet to run massive online fraud schemes targeting Americans.
Despite SpaceX’s policies allowing service termination for fraud, Starlink remains active in regions where these scams, often linked to forced labour and human trafficking, operate.
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A new commission will begin work next month to explore creating a standalone Cyber Force as a military service. The Centre for Strategic and International Studies leads the effort in collaboration with the Cyber Solarium Commission 2.0.
The study responds to ongoing weaknesses in how the US military organises, trains and equips personnel for cyber operations. These shortcomings have prompted calls for a dedicated force with a focused mission.
The Cyber Force would aim to improve readiness and capability in the digital domain, mirroring the structure of other service branches. Cyber operations are seen as increasingly central to national security.
Details of the commission’s work will emerge in the coming months as discussions shape what such a force might look like.
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LG CNS has secured a 100 billion won ($72 million) contract to build an AI data centre in Jakarta, a first for a Korean firm in a project of this kind overseas. The centre is expected to be completed by 2026 and will house over 100,000 servers.
The deal was signed through LG Sinar Mas Technology Solutions, a joint venture between Sinar Mas Group of Indonesia and LG of South Korea. Local partner KMG, backed by Korea Investment Real Asset Management, is leading the project to create Indonesia’s largest hyperscale AI data centre.
The 11-storey facility will launch with a power capacity of 30 megawatts, with plans to expand to 220 megawatts in future phases. LG CNS will manage key infrastructure, including electricity, cooling, and telecoms systems, using technologies across the LG Group.
Safety has been a key selling point. The centre will utilise seismic isolation systems to safeguard equipment in earthquake-prone Southeast Asia. Redundant power systems will also ensure continuous operation even during outages.
Southeast Asia is emerging as a cost-effective hub for AI among global technology giants. LG CNS plans to leverage the Jakarta project as a launchpad for expanding into Singapore, Malaysia, and other international markets.
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OpenAI is in early discussions over a share sale that could value the company at around $500 billion, according to a source familiar with the talks.
The transaction would occur before a possible IPO and let current and former employees sell several billion dollars’ worth of shares.
The valuation marks a steep rise from the $300 billion figure attached to its most recent funding round earlier in the year. Backed by Microsoft, OpenAI has seen rapid growth in users and revenue, with ChatGPT attracting about 700 million weekly active users, up from 400 million in February.
Revenue doubled in the first seven months of the year, reaching an annualised run rate of $12 billion, and is on track for $20 billion by year-end.
The potential sale comes as competition for AI talent intensifies.
Meta has invested billions in Scale AI to lure its chief executive, Alexandr Wang, to head its superintelligence unit. At the same time, firms such as ByteDance and Databricks have used private share sales to update valuations and reward staff.
Thrive Capital and other existing OpenAI investors are discussing joining the deal.
OpenAI is also preparing a major corporate restructuring that could replace its capped-profit model and clear the way for an eventual public listing.
However, Chief Financial Officer Sarah Friar said any IPO would only happen when the company and the markets are ready.
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A senior White House official has urged Asia-Pacific economies to support an AI future built on US technology, warning against adopting Europe’s heavily regulated model. Michael Kratsios remarked during the APEC Digital and AI Ministerial Meeting in Incheon.
Kratsios said countries now choose between embracing American-led innovation or falling behind under regulatory burdens. He framed the US approach as one driven by freedom and open-source innovation rather than centralised control.
The US is offering partnerships with South Korea to respect data concerns while enabling shared progress. Kratsios noted that open-weight models could soon shape industry standards worldwide.
He met South Korea’s science minister in bilateral talks to discuss AI cooperation. The US reaffirmed its commitment to supporting nations in building trustworthy AI systems based on mutual economic benefit.
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