China creates AI to detect real nuclear warheads

Chinese scientists have created the world’s first AI-based system capable of identifying real nuclear warheads from decoys, marking a significant step in arms control verification.

The breakthrough, developed by the China Institute of Atomic Energy (CIAE), could strengthen Beijing’s hand in stalled disarmament talks, although it also raises difficult questions about AI’s growing role in managing weapons of mass destruction.

The technology builds on a long-standing US–China proposal but faced key obstacles: how to train AI using sensitive nuclear data, gain military approval without risking secret leaks, and persuade sceptical nations like the US to move past Cold War-era inspection methods.

So far, only the AI training has been completed, with the rest of the process still pending international acceptance.

The AI system uses deep learning and cryptographic protocols to analyse scrambled radiation signals from warheads behind a polythene wall, ensuring the weapons’ internal designs remain hidden.

The machine can verify a warhead’s chain-reaction potential without accessing classified details. According to CIAE, repeated randomised tests reduce the chance of deception to nearly zero.

While both China and the US have pledged not to let AI control nuclear launch decisions, the new system underlines AI’s expanding role in national defence.

Beijing insists the AI can be jointly trained and sealed before use to ensure transparency, but sceptics remain wary of trust, backdoor access and growing militarisation of AI.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Uber’s product chief turns to AI for reports and research

Uber’s chief product officer, Sachin Kansal, is embracing AI to streamline his daily workflow—particularly through tools like ChatGPT, Google Gemini, and, soon, NotebookLM.

Speaking on ‘Lenny’s Podcast,’ Kansal revealed how AI summarisation helps him digest lengthy 50- to 100-page reports he otherwise wouldn’t have time to read. He uses AI to understand market trends and rider feedback across regions such as Brazil, South Korea, and South Africa.

Kansal also relies on AI as a research assistant. For instance, when exploring new driver features, he used ChatGPT’s deep research capabilities to simulate possible driver reactions and generate brainstorming ideas.

‘It’s an amazing research assistant,’ he said. ‘It’s absolutely a starting point for a brainstorm with my team.’

He’s now eyeing Google’s NotebookLM, a note-taking and research tool, as the next addition to his AI toolkit—especially its ‘Audio Overview’ feature, which turns documents into AI-generated podcast-style discussions.

Uber CEO Dara Khosrowshahi previously noted that too few of Uber’s 30,000+ employees are using AI and stressed that mastering AI tools, especially for coding, would soon be essential.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Students build world’s fastest Rubik’s Cube solver

A group of engineering students from Purdue University have built the world’s fastest Rubik’s Cube-solving robot, achieving a Guinness World Record time of just 0.103 seconds.

The team focused on improving nearly every aspect of the process, not only faster motors, from image capture to cube construction.

Rather than processing full images, the robot uses low-resolution cameras aimed at opposite corners of the cube, capturing only the essential parts of the image to save time.

Instead of converting camera data into full digital pictures, the system directly reads colour data to identify the cube’s layout. Although slightly less accurate, the method allows quicker recognition and faster solving.

The robot, known as Purdubik’s Cube, benefits from software designed specifically for machines, allowing it to perform overlapping turns using a technique called corner cutting. Instead of waiting for one rotation to finish, the next begins, shaving off valuable milliseconds.

To withstand the stress, the team designed a cube with extremely tight tension using reinforced nylon, making it nearly impossible to turn by hand.

High-speed motors controlled the robot’s movements, with a trapezoidal acceleration profile ensuring rapid but precise turns. The students believe the record could fall again—provided someone develops a stronger, lighter cube using materials like carbon fibre.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

AI copyright clash stalls UK data bill

A bitter standoff over AI and copyright has returned to the House of Lords, as ministers and peers clash over how to protect creative workers while fostering technological innovation.

At the centre of the debate is the proposed Data (Use and Access) Bill, which was expected to pass smoothly but is now stuck in parliamentary limbo due to growing resistance.

The bill would allow AI firms to access copyrighted material unless rights holders opt out, a proposal that many artists and peers believe threatens the UK’s £124bn creative industry.

Nearly 300 Lords have called for AI developers to disclose what content they use and seek licences instead of relying on blanket access. Former film director Baroness Kidron described the policy as ‘state-sanctioned theft’ and warned it would sacrifice British talent to benefit large tech companies.

Supporters of the bill, like former Meta executive Sir Nick Clegg, argue that forcing AI firms to seek individual permissions would severely damage the UK’s AI sector. The Department for Science, Innovation and Technology insists it will only consider changes if they are proven to benefit creators.

If no resolution is found, the bill risks being shelved entirely. That would also scrap unrelated proposals bundled into it, such as new NHS data-sharing rules and plans for a nationwide underground map.

Despite the bill’s wide scope, the fight over copyright remains its most divisive and emotionally charged feature.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Gmail adds automatic AI summaries

Gmail on mobile now displays AI-generated summaries by default, marking a shift in how Google’s Gemini assistant operates within inboxes.

Instead of relying on users to request a summary, Gemini will now decide when it’s useful—typically for long email threads with multiple replies—and present a brief summary card at the top of the message.

These summaries update automatically as conversations evolve, aiming to save users from scrolling through lengthy discussions.

The feature is currently limited to mobile devices and available only to users with Google Workspace accounts, Gemini Education add-ons, or a Google One AI Premium subscription. For the moment, summaries are confined to emails written in English.

Google expects the rollout to take around two weeks, though it remains unclear when, or if, the tool will extend to standard Gmail accounts or desktop users.

Anyone wanting to opt out must disable Gmail’s smart features entirely—giving up tools like Smart Compose, Smart Reply, and package tracking in the process.

While some may welcome the convenience, others may feel uneasy about their emails being analysed by large language models, especially since this process could contribute to further training of Google’s AI systems.

The move reflects a wider trend across Google’s products, where AI is becoming central to everyday user experiences.

Additional user controls and privacy commitments

According to Google Workspace, users have some control over the summary cards. They can collapse a Gemini summary card, and it will remain collapsed for that specific email thread.

In the near future, Gmail will introduce enhancements, such as automatically collapsing future summary cards for users who consistently collapse them, until the user chooses to expand them again. For emails that don’t display automatic summaries, Gmail still offers manual options.

Users can tap the ‘summarise this email’ chip at the top of the message or use the Gemini side panel to trigger a summary manually. Google also reaffirms its commitment to data protection and user privacy. All AI features in Gmail adhere to its privacy principles, with more details available on the Privacy Hub.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

ZTE and XLSMART partner to boost Indonesia’s digital future

ZTE Corporation and XLSMART partnered to accelerate Indonesia’s digital transformation by building a future-ready network infrastructure. Formed after the merger of PT XL Axiata Tbk and PT Smartfren Telecom Tbk, XLSMART aims to enhance connectivity, sustainability, and customer experience across the country, in line with the government’s digital growth vision.

At the core of this collaboration is ZTE’s commitment to delivering advanced technology solutions, particularly in wireless and energy infrastructure. The company will play a key role in developing reliable 5G networks and implementing green, energy-efficient technologies to support the modernisation of Indonesia’s digital ecosystem.

To ensure a smooth post-merger network integration for XLSMART, ZTE will provide a reliable supply chain, rapid delivery of network equipment, and tailored technological innovations. The company will also lead the engineering, implementation, and comprehensive network planning required to optimise performance and investment value.

Together, ZTE and XLSMART are laying the groundwork for a robust and scalable digital infrastructure capable of meeting Indonesia’s current and future connectivity needs.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Clean energy projects in the US stall amid tax credit uncertainty

US clean energy companies are facing mounting uncertainty as Congress weighs deep cuts to green energy tax credits. Projects like HIF Global’s proposed $7bn e-methanol facility in Texas are now in limbo, with developers warning that the loss of hydrogen subsidies could stall investment decisions.

The plant would convert green hydrogen and captured carbon into low-emission fuel for global aviation and shipping, but without support, firms may shift focus to other markets.

The Biden-era Inflation Reduction Act (IRA) and Infrastructure Investment and Jobs Act (IIJA) had sparked billions in green investment, especially in Republican-led states.

However, the Trump administration’s rollback efforts and proposed budget cuts could sharply reduce or terminate credits for clean electricity, electric vehicles, and energy-efficient home improvements. Agencies have paused or delayed funding while legal disputes continue, worsening industry-wide uncertainty.

Clean energy investment fell for the second consecutive quarter, according to new data, with $6.9bn in battery manufacturing projects cancelled.

Developers now face rising tariffs, high interest rates, and unclear policy direction, leading to declining confidence in the market. Firms are adjusting strategies to appeal to stakeholders beyond climate goals, focusing instead on local benefits and energy security.

Would you like to learn more about AI, tech and digital diplomacyIf so, ask our Diplo chatbot!

Central African Republic will tokenise land using $CAR coin

The Central African Republic (CAR) will begin tokenising over 1,700 hectares of land using its national meme coin, $CAR, according to President Faustin-Archange Touadéra. The announcement came shortly after a notable price surge in the token, which has risen over 127% in the past week.

From June, land concessions will be accessible online via $CAR on the Solana blockchain. The initiative is part of the country’s broader push to integrate crypto into its national development strategy, with a focus on transparency and accessibility.

The targeted area lies west of Bossongo, roughly 45 kilometres from Bangui.

The land tokenisation follows earlier crypto efforts such as Sango Coin, which has since been scrapped. However, $CAR continues to receive strong backing from the president.

The coin now has more than 18,400 holders and a market cap of over $56 million. Its recent use may also involve mining, as the decree references CAR’s mining laws and history of resource extraction.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

Gemini AI can now summarise videos in Google Drive

Google is expanding Gemini AI’s capabilities in Drive by enabling it to analyse video files and respond to user questions or generate concise summaries.

The new feature aims to save users time by providing quick insights from lengthy content such as meetings, classes or announcements, instead of requiring them to watch the entire video. Until now, Gemini could only summarise documents and PDFs stored in Drive.

According to a blog post published on 28 May 2025, the feature will support prompts like ‘Summarise the video’ or ‘List action items from the meeting.’ Users can access Gemini’s functionality either through Drive’s overlay previewer or a standalone viewer in a separate browser tab.

However, captions must be enabled within the user’s domain for the feature to work properly.

The update is being gradually rolled out and is expected to be available to all eligible users by 19 June. At the moment, it is limited to English and accessible only to users of Google Workspace and Google One AI Premium, or those with Gemini Business or Enterprise add-ons.

For administrators, smart features and personalisation settings must be activated to grant access.

To use the new function, users can double-click on a video file in Drive and select the ‘Ask Gemini’ option marked by a star icon in the top right corner. Google says the upgrade reflects a broader effort to integrate AI seamlessly into everyday workflows by making content easier to navigate and understand.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Meta faces backlash over open source AI claims

Meta is under renewed scrutiny for what critics describe as ‘open washing’ after sponsoring a Linux Foundation whitepaper on the benefits of open source AI.

The paper highlights how open models help reduce enterprise costs—claiming companies using proprietary AI tools spend over three times more. However, Meta’s involvement has raised questions, as its Llama AI models are presented as open source despite industry experts insisting otherwise.

Amanda Brock, head of OpenUK, argues that Llama does not meet accepted definitions of open source due to licensing terms that restrict commercial use.

She referenced the Open Source Initiative’s (OSI) standards, which Llama fails to meet, pointing to the presence of commercial limitations that contradict open source principles. Brock noted that open source should allow unrestricted use, which Llama’s license does not support.

Meta has long branded its Llama models as open source, but the OSI and other stakeholders have repeatedly pushed back, stating that the company’s licensing undermines the very foundation of open access.

While Brock acknowledged Meta’s contribution to the broader open source conversation, she also warned that such mislabelling could have serious consequences—especially as lawmakers and regulators increasingly reference open source in crafting AI legislation.

Other firms have faced similar allegations, including Databricks with its DBRX model in 2024, which was also criticised for failing to meet OSI standards. As the AI sector continues to evolve, the line between truly open and merely accessible models remains a point of growing tension.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!