Chinese AI video tool unsettles Hollywood

A new AI video model developed by ByteDance has unsettled Hollywood after generating cinema-quality clips from brief text prompts. Seedance 2.0, launched in 2025, went viral for producing realistic action scenes featuring western cinematic characters such as Spider Man and Deadpool.

In response, major studios, including Disney and Paramount, issued cease and desist letters over alleged copyright infringement. Japan has also begun investigating ByteDance after AI-generated anime videos spread widely online.

Industry experts say Seedance 2.0 stands out for combining text, visuals and audio within a single system. Analysts in Singapore and Melbourne argue that Chinese AI models are now matching US competitors at the technological frontier.

As Seedance 2.0 gains traction, Beijing continues to prioritise AI and robotics in its economic strategy. The rise of tools from China has intensified debate in the US and beyond over copyright, regulation and the future of creative work.

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Google’s Lyria 3 advances generative AI music with transparency and copyright safeguards

Google has introduced Lyria 3 inside its Gemini app, marking its expansion into AI-generated music. The model enables users to create 30-second tracks from text prompts, images, or short videos. It also supports Dream Track on YouTube Shorts, strengthening AI integration in creator tools.

The development reflects the growing convergence of multimodal AI systems. Gemini can already generate text, images, and video, and music is now added to this ecosystem. This positions Google within the broader race to embed generative AI across digital content infrastructures.

Lyria 3 lowers technical barriers to music production. Users can generate instrumentals and lyrics without prior composition skills, simply by describing a mood, genre, or memory. This aligns with wider efforts to democratise creative expression through AI tools.

The model also introduces technical improvements over earlier audio systems. It offers greater control over tempo, vocals, and style, while producing more realistic and musically complex outputs. However, tracks are currently limited to 30 seconds, suggesting a phased rollout approach.

Transparency measures are embedded through SynthID watermarking technology. All AI-generated tracks include an imperceptible identifier to signal synthetic origin. Such mechanisms respond to increasing policy discussions on labelling and traceability of AI-generated content.

Google also emphasises safeguards related to intellectual property. The system is designed for original expression rather than direct imitation of specific artists. Prompts referencing known artists are treated as stylistic inspiration, and outputs are filtered against existing works, with reporting mechanisms available for potential rights violations.

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Brand turns AI demon into marketing stunt

Beverage company Liquid Death triggered confusion during the Winter Olympics after airing an AI advert featuring a figure skater who transforms into a red-eyed demon. The commercial appeared on Peacock’s Olympics stream but was not posted online, leaving viewers questioning whether it was real.

The brand later confirmed the advert was intentional and designed to parody fears around AI. According to Liquid Death, the limited run and lack of online acknowledgement were meant to amplify the sense of unease during the Winter Olympics broadcast.

Marketing analysts said that brands are increasingly leaning into AI scepticism to build trust with wary consumers. Campaigns from Equinox and Almond Breeze have similarly contrasted human authenticity with AI-generated content.

Despite the strategy, the Winter Olympics stunt drew criticism on social media, with some users labelling the advert AI slop. The reaction highlights both the risks and rewards for brands experimenting with AI-themed messaging.

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US freedom.gov and the EU’s DSA in a transatlantic fight over online speech

The transatlantic debate over ‘digital sovereignty’ is also, in a discrete measure, about whose rules govern online speech. In the EU, digital sovereignty has essentially meant building enforceable guardrails for platforms, especially around illegal content, systemic risks, and transparency, through instruments such as the Digital Services Act (DSA) and its transparency mechanisms for content moderation decisions. In Washington, the emphasis has been shifting toward ‘free speech diplomacy‘, framing some EU online-safety measures as de facto censorship that spills across borders when US-based platforms comply with the EU requirements.

What is ‘freedom.gov’?

The newest flashpoint is a reported US State Department plan to develop an online portal, widely described as ‘freedom.gov‘, intended to help users in the EU and elsewhere access content blocked under local rules, and it aligns with the Trump administration policy and a State Department programme called Internet Freedom. The ‘freedom.gov’ plan reportedly includes adding VPN-like functionality so traffic would appear to originate in the US, effectively sidestepping geographic enforcement of content restrictions. According to the US House of Representatives’ legal framework, the idea could be seen as a digital-rights tool, but experts warn it would export a US free-speech standard into jurisdictions that regulate hate speech and extremist material more tightly.

The ‘freedom.gov’ portal story occurs within a broader escalation that has already moved from rhetoric to sanctions. In late 2025, the US imposed visa bans on several EU figures it accused of pressuring platforms to suppress ‘American viewpoints,’ a move the EU governments and officials condemned as unjustified and politically coercive. The episode brought to the conclusion that Washington is treating some foreign content-governance actions not as domestic regulation, but as a challenge to US speech norms and US technology firms.

The EU legal perspective

From the EU perspective, this framing misses the point of to DSA. The Commission argues that the DSA is about platform accountability, requiring large platforms to assess and mitigate systemic risks, explain moderation decisions, and provide users with avenues to appeal. The EU has also built new transparency infrastructure, such as the DSA Transparency Database, to make moderation decisions more visible and auditable. Civil-society groups broadly supportive of the DSA stress that it targets illegal content and opaque algorithmic amplification; critics, especially in US policy circles, argue that compliance burdens fall disproportionately on major US platforms and can chill lawful speech through risk-averse moderation.

That’s where the two sides’ risk models diverge most sharply. The EU rules are shaped by the view that disinformation, hate speech, and extremist propaganda can create systemic harms that platforms must proactively reduce. On the other side, the US critics counter that ‘harm’ categories can expand into viewpoint policing, and that tools like a government-backed portal or VPN could be portrayed as restoring access to lawful expression. Yet the same reporting that casts the portal as a speech workaround also notes it may facilitate access to content the EU considers dangerous, raising questions about whether the initiative is rights-protective ‘diplomacy,’ a geopolitical pressure tactic, or something closer to state-enabled circumvention.

Why does it matter?

The dispute has gone from theoretical to practical, reshaping digital alliances, compliance strategies, and even travel rights for policy actors, not to mention digital sovereignty in the governance of online discourse and data. The EU’s approach is to make platforms responsible for systemic online risks through enforceable transparency and risk-reduction duties, while the US approach is increasingly to contest those duties as censorship with extraterritorial effects, using instruments ranging from public messaging to visa restrictions, and, potentially, state-backed bypass tools.

What could we expect then, if not a more fragmented internet, with platforms pulled between competing legal expectations, users encountering different speech environments by region, and governments treating content policy as an extension of foreign policy, complete with retaliation, countermeasures, and escalating mistrust?

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MIT study finds AI chatbots underperform for vulnerable users

Research from the MIT Centre for Constructive Communication (CCC) finds that leading AI chatbots often provide lower-quality responses to users with lower English proficiency, less education, or who are outside the US.

Models tested include GPT-4, Claude 3 Opus, and Llama 3, which sometimes refuse to answer or respond condescendingly. Using TruthfulQA and SciQ datasets, researchers added user biographies to simulate differences in education, language, and country.

Accuracy fell sharply among non-native English speakers and less-educated users, with the most significant drop among those affected by both; users from countries like Iran also received lower-quality responses.

Refusal behaviour was notable. Claude 3 Opus declined 11% of questions for less-educated, non-native English speakers versus 3.6% for control users. Manual review showed 43.7% of refusals contained condescending language.

Some users were denied access to specific topics even though they answered correctly for others.

The study echoes human sociocognitive biases, in which non-native speakers are often perceived as less competent. Researchers warn AI personalisation could worsen inequities, providing marginalised users with subpar or misleading information when they need it most.

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Gemini 3.1 Pro brings advanced logic to developers and consumers

Google has launched Gemini 3.1 Pro, an upgraded AI model for solving complex science, research, and engineering challenges. Following the Gemini 3 Deep Think release, the update adds enhanced core reasoning for consumer, developer, and enterprise applications.

Developers can access 3.1 Pro in preview via the Gemini API, Google AI Studio, Gemini CLI, Antigravity, and Android Studio, while enterprise users can use it through Vertex AI and Gemini Enterprise.

Consumers can now try the upgrade through the Gemini app and NotebookLM, with higher limits for Google AI Pro and Ultra plan users.

Benchmarks show significant improvements in logic and problem-solving. On the ARC-AGI-2 benchmark, 3.1 Pro scored 77.1%, more than doubling the reasoning performance of its predecessor.

The upgrade is intended to make AI reasoning more practical, offering tools to visualise complex topics, synthesise data, and enhance creative projects.

Feedback from Gemini 3 Pro users has driven the rapid development of 3.1 Pro. The preview release allows Google to validate improvements and continue refining advanced agentic workflows before the model becomes widely available.

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UK sets 48-hour deadline for removing intimate images

The UK government plans to require technology platforms to remove intimate images shared without consent within forty-eight hours instead of allowing such content to remain online for days.

Through an amendment to the Crime and Policing Bill, firms that fail to comply could face fines amounting to ten percent of their global revenue or risk having their services blocked in the UK.

A move that reflects ministers’ commitment to treat intimate image abuse with the same seriousness as child sexual abuse material and extremist content.

The action follows mounting concern after non-consensual sexual deepfakes produced by Grok circulated widely, prompting investigations by Ofcom and political pressure on platforms owned by Elon Musk.

The government now intends victims to report an image once instead of repeating the process across multiple services. Once flagged, the content should disappear across all platforms and be blocked automatically on future uploads through hash-matching or similar detection tools.

Ministers also aim to address content hosted outside the reach of the Online Safety Act by issuing guidance requiring internet providers to block access to sites that refuse to comply.

Keir Starmer, Liz Kendall and Alex Davies-Jones emphasised that no woman should be forced to pursue platform after platform to secure removal and that the online environment must offer safety and respect.

The package of reforms forms part of a broader pledge to halve violence against women and girls during the next decade.

Alongside tackling intimate image abuse, the government is legislating against nudification tools and ensuring AI chatbots fall within regulatory scope, using this agenda to reshape online safety instead of relying on voluntary compliance from large technology firms.

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Summit in India hears call for safe AI

The UN Secretary General has warned that AI must augment human potential rather than replace it, speaking at the India AI Impact Summit in New Delhi. Addressing leaders at Bharat Mandapam in New Delhi, he urged investment in workers so that technology strengthens, rather than displaces, human capacity.

In New Delhi, he cautioned that AI could deepen inequality, amplify bias and fuel harm if left unchecked. He called for stronger safeguards to protect people from exploitation and insisted that no child should be exposed to unregulated AI systems.

Environmental concerns also featured prominently in New Delhi, with Guterres highlighting rising energy and water demands from data centres. He urged a shift to clean power and warned against transferring environmental costs to vulnerable communities.

The UN chief proposed a $3 billion Global Fund on AI to build skills, data access and affordable computing worldwide. In New Delhi, he argued that broader access is essential to prevent countries from being excluded from the AI age and to ensure AI supports sustainable development goals.

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Microsoft outlines challenges in verifying AI-generated media

In an era of deepfakes and AI-manipulated content, determining what is real online has become increasingly complex. Microsoft’s report Media Integrity and Authentication reviews current verification methods, their limits, and ways to boost trust in digital media.

The study emphasises that no single solution can prevent digital deception. Techniques such as provenance tracking, watermarking, and digital fingerprinting can provide useful context about a media file’s origin, creation tools, and whether it has been altered.

Microsoft has pioneered these technologies, cofounding the Coalition for Content Provenance and Authenticity (C2PA) to standardise media authentication globally.

The report also addresses the risks of sociotechnical attacks, where even subtle edits can manipulate authentication results to mislead the public.

Researchers explored how provenance information can remain durable and reliable across different environments, from high-security systems to offline devices, highlighting the challenge of maintaining consistent verification.

As AI-generated or edited content becomes commonplace, secure media provenance is increasingly important for news outlets, public figures, governments, and businesses.

Reliable provenance helps audiences spot manipulated content, with ongoing research guiding clearer, practical verification displays for the public.

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Reload launches Epic to bring shared memory and structure to AI agents

Founders of the Reload platform say AI is moving from simple automation toward something closer to teamwork.

Newton Asare and Kiran Das noticed that AI agents were completing tasks normally handled by employees, which pushed them to design a system that treats digital workers as part of a company’s structure instead of disposable tools.

Their platform, Reload, offers a way for organisations to manage these agents across departments, assign responsibilities and monitor performance. The firm has secured 2.275 million dollars in new funding led by Anthemis with several other investors joining the round.

The shift toward agent-driven development exposed a recurring limitation. Most agents retain only short-term memory, which means they often lose context about a product or forget why a task matters.

Reload’s answer is Epic, a new product built on its platform that acts as an architect alongside coding agents. Epic defines requirements and constraints at the start of a project, then continuously preserves the shared understanding that agents need as software evolves.

Epic integrates with popular AI-assisted code editors such as Cursor and Windsurf, allowing developers to keep a consistent system memory without changing their workflow.

The tool generates key project artefacts from the outset, including data models and technical decisions, then carries them forward even when teams switch agents. It creates a single source of truth so that engineers and digital workers develop against the same structure.

Competing systems such as LongChain and CrewAI also offer support for managing agents, but Reload argues that Epic’s ability to maintain project-level context sets it apart.

Asare and Das, who already built and sold a previous company together, plan to use the fresh capital to grow their team and expand the infrastructure needed for a future in which human workers manage AI employees instead of the other way around.

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