Interdisciplinary approaches

Diplo joins Brazil’s Internet Forum and celebrates CGI.br’s 30 years

Diplo actively participated in Brazil’s Internet Forum (FIB), held from May 26 to 30 and hosted by the Brazilian Internet Steering Committee (CGI.br). The event brought together key stakeholders from across sectors to discuss pressing issues in digital governance.

Representing Diplo, Marilia Maciel contributed to critical discussions on state roles and multistakeholder collaboration in managing cloud infrastructures and defending digital sovereignty. She also offered insights during the main session on setting principles for regulating digital platforms.

Maciel’s contributions were recognised with the ‘Destaques em Governança da Internet no Brasil’ award, one of the most respected acknowledgments of excellence in internet governance in the country. The award highlights individuals and organisations that have made significant advances in promoting inclusive and effective digital policy in Brazil.

The event also marked a major milestone for CGI.br—its 30th anniversary. Diplo joined in celebrating the committee’s three decades of leadership in internet governance. CGI.br’s pioneering approach to multistakeholder governance has served not only as a national model but as a global inspiration for collaborative digital policy-making.

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Courts consider limits on AI evidence

A newly proposed rule by the Federal Judicial Conference could reshape how AI-generated evidence is treated in court. Dubbed Rule 707, it would allow such machine-generated evidence to be admitted only if it meets the same reliability standards required of expert testimony under Rule 702.

However, it would not apply to outputs from simple scientific instruments or widely used commercial software. The rule aims to address concerns about the reliability and transparency of AI-driven analysis, especially when used without a supporting expert witness.

Critics argue that the limitation to non-expert presentation renders the rule overly narrow, as the underlying risks of bias and interpretability persist regardless of whether an expert is involved. They suggest that all machine-generated evidence in US courts should be subject to robust scrutiny.

The Advisory Committee is also considering the scope of terminology such as ‘machine learning’ to prevent Rule 707 from encompassing more than intended. Meanwhile, a separate proposed rule regarding deepfakes has been shelved because courts already have tools to address the forgery.

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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.

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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.

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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.

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Serbian startup revolutionises cancer diagnostics with AI-powered radiotherapy tool

A group of Serbian physicists, programmers, and radiologists, led by Stevan Vrbaški, has developed a groundbreaking software solution through their startup, Vinaver Medical. After gaining experience through studies and research abroad, the team returned to Serbia, where they launched a project to improve cancer diagnostics using advanced radiotherapy technology.

Their work is centred on particle radiotherapy, a precise cancer treatment method that surpasses conventional X-ray-based radiotherapy. The innovation lies in software that combines AI and CT imaging to enhance diagnostic accuracy and improve the planning of radiotherapy in oncology.

Unlike traditional methods, this solution enables far more precise targeting of tumours, which can potentially reduce damage to surrounding healthy tissue. According to Vrbaški, their software helps determine the optimal delivery of radiotherapy based on patient scans.

Vinaver Medical received initial funding through the ‘Smart Start’ program and later support from the ‘Digital Serbia Initiative.’ Their product is currently being tested in the United States, the European Union, and the Balkans.

Vrbaški highlights the challenges of developing and certifying medical technologies, emphasising the need for rigorous testing, user adaptation, and risk reduction before market release. Looking ahead, the team plans to visit hospitals and innovation centres in Italy and the US to fine-tune their solution to meet user needs better.

With a certified, market-ready product in hand, they aim to launch commercially within a year to eighteen months, as testing with Dutch partners continues to validate the software’s ability to assist doctors in diagnosing various illnesses with greater accuracy.

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SCO members invited to join new AI cooperation plan

China has proposed the creation of an AI application centre in cooperation with member states of the Shanghai Cooperation Organization (SCO). The plan was introduced at the 2025 China-SCO AI Cooperation Forum, held in Tianjin, with the goal of deepening collaboration in AI across the region.

The proposed centre aims to support talent development, foster industrial partnerships, and promote open-source service cooperation.

Presented under the theme ‘Intelligence Converges in China, Wisdom Benefits SCO,‘ the forum brought together officials and experts to discuss practical AI cooperation and governance mechanisms that would serve the shared interests of SCO nations.

According to Huang Ru of China’s National Development and Reform Commission, closer cooperation in AI will drive economic and social growth across the SCO, reduce the digital divide, and contribute to inclusive global progress.

China reaffirmed its commitment to the ‘Shanghai Spirit’ and called for joint efforts to ensure AI development remains secure, equitable and beneficial for all member states.

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Gen Z turns to AI to plan their next holiday

AI is quickly becoming an essential tool for Gen Z travellers, with 45% either already using it or planning to use it this year to help organise their holidays.

According to a survey by Multitrip.com, AI is now a key influence for trip inspiration and destination selection, especially for younger generations looking to personalise their travel experiences.

Among Gen Z respondents, a quarter have already used AI to choose where to go—an increase from 20% last year—while interest among Millennials and Gen X is also growing.

Millennials’ use rose to 22%, and Gen X saw a notable jump from 4% to 10%. Baby Boomers, however, remain largely unconvinced, with only 3% reporting past use and 84% saying they have no plans to try it.

Social media continues to play a major role in travel decisions, especially for younger people, while TV and film remain popular sources of inspiration across all generations.

AI is not only helping travellers choose where to go, but also shaping itineraries, with nearly one in four Gen Z users already relying on it to structure their trips.

As AI technology becomes more user-friendly and accessible, its role in trip planning is expected to grow. However, experts still recommend traditional travel essentials, including insurance.

Multitrip.com’s Christian Bennett reminds travellers that no matter how a trip is planned, protection from unexpected events remains crucial.

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Startup Odyssey unveils streaming AI-powered 3D video demo

Odyssey, a startup founded by self-driving technology pioneers Oliver Cameron and Jeff Hawke, has unveiled a new AI model capable of generating interactive, 3D-like video experiences in real time.

The system streams video frames every 40 milliseconds and lets users explore scenes with basic controls, much like moving around in a video game.

The model is powered by a newly developed ‘world model’ designed to predict what comes next in a virtual environment based on prior actions and context.

While the current demo, available online, still features blurred and unstable visuals, Odyssey claims it can maintain coherent video streams for over five minutes. Streaming performance reaches up to 30 frames per second using Nvidia H100 GPUs, costing $1–2 per user-hour.

Odyssey is positioning its platform as the future of interactive media, suggesting it could transform entertainment, education, advertising, and training.

Unlike some AI developers facing criticism for displacing creative workers, Odyssey pledges to work alongside artists and provide tools compatible with software like Unreal Engine, Blender, and After Effects.

To support development, the company built a 360-degree backpack-mounted camera to collect real-world footage, aiming to produce more realistic outputs than models trained solely on public datasets.

Backed by $27 million in funding and supported by Pixar co-founder Ed Catmull, Odyssey plans to significantly improve model stability and expand its action capabilities in the near future.

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Melania Trump’s AI audiobook signals a new era in media creation

Melania Trump has released an audiobook version of her memoir, but the voice readers hear isn’t hers in the traditional sense. Instead, it’s an AI-generated replica, created under her guidance and produced using technology from ElevenLabs.

Announcing the release as ‘The AI Audiobook,’ Trump declared this innovation as a step into the future of publishing, highlighting how AI is now entering mainstream media production. That move places AI-generated content into the public spotlight, especially as tech companies like Google and OpenAI are rolling out advanced tools to create audio, video, and even entire scenes with minimal human input.

While experts note that a complete replacement of voice actors and media professionals is unlikely in the immediate future, Trump’s audiobook represents a notable shift that aligns with rising interest from television and media companies looking to explore AI integration to compete with social media creators.

Industry observers suggest this trend could lead to a more interactive form of media. Imagine, for instance, engaging in a two-way conversation with a virtual Melania Trump about her book.

Though this level of interactivity isn’t here yet, it’s on the horizon as companies experiment with AI-generated personalities and digital avatars to enhance viewer engagement and create dynamic experiences. Still, the growth of generative AI sparks concern about job security in creative fields.

While some roles, like voiceover work, are vulnerable to automation, others—especially those requiring human insight and emotional intelligence, like investigative journalism—remain more resistant. Rather than eliminating jobs outright, AI may reshape media employment, demanding hybrid skills that combine traditional storytelling with technological proficiency.

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