A major new initiative backed by Innovate UK is bringing together leading businesses and organisations to develop an AI-powered food redistribution platform designed to reduce edible food waste and support communities facing food insecurity.
The project is supported by a £1.9 million grant from the BridgeAI programme and is match-funded by participating partners.
Led by Sustainable Ventures, the collaboration includes Bristol Superlight, FareShare, FuturePlus, Google Cloud, Howard Tenens Logistics, Nestlé UK & Ireland, and Zest (formerly The Wonki Collective).
Together, they aim to pilot a platform capable of redistributing up to 700 tonnes of quality surplus food—equivalent to 1.5 million meals—while preventing an estimated 1,400 tonnes of CO₂ emissions and delivering up to £14 million in cost savings.
The system integrates Google Cloud’s BigQuery and Vertex AI platforms to match surplus food from manufacturers with logistics providers and charities.
Bristol Superlight’s logistics solution incorporates AI to track food quality during delivery, and early trials have shown promising results—an 87% reduction in food waste at a Nestlé factory over just two weeks.
The pilot marks a significant step forward in applying AI to address sustainability challenges. The consortium believes the technology could eventually scale across the food supply chain, helping to create a more efficient, transparent, and environmentally responsible system.
Leaders from Nestlé, FareShare, and Zest all emphasised the importance of cross-sector collaboration in tackling rising food waste and food poverty.
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Dutch ministers Eelco Heinen (Finance) and Fleur Agema (Public Health) have reached a long-awaited agreement on investing in new technologies and AI in healthcare.
If healthcare costs remain below projections, Agema will be permitted to allocate €400 million annually over the next ten years towards AI, sources close to the government confirmed to NOS.
The funding will be drawn from the €2.3 billion reserve earmarked to absorb the expected rise in healthcare expenditure following the planned reduction of the healthcare deductible to €165 in 2027.
However, Finance Minister Heinen has insisted on a review after two years to determine whether the continued investment remains financially responsible. Agema is confident that the actual costs will be lower than forecast, leaving room for innovation investments.
The agreement follows months of political tension in the Netherlands between the two ministers, which reportedly culminated in Agema threatening to resign last week.
While Heinen originally wanted to commit the funding only for 2027 and 2028, Agema pushed for a structural commitment, arguing that the reserve fund is overly cautious.
Intensive negotiations took place on Monday and Tuesday, with Prime Minister Dick Schoof stepping in to help mediate. The breakthrough came late Tuesday evening, clearing the way for Agema to proceed with broader talks on a new healthcare agreement with hospitals and care institutions.
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Opera has unveiled a new AI-powered web browser called Neon, describing it as an ‘agentic browser’ designed to carry out internet tasks on the user’s behalf.
Unlike traditional browsers, Neon offers contextual awareness and cloud-based AI agents that can research, design, and build content automatically.
Although Opera introduced a browser called Neon in 2017 that failed to gain traction, the company is giving the name a second chance, now with a more ambitious AI focus. According to Opera’s Henrik Lexow, the rise of AI marks a fundamental shift in how users interact with the web.
Among its early features, Neon includes an AI engine capable of interpreting user requests and generating games, code, reports, and websites—even when users are offline.
It also includes tools like a chatbot for web searches, contextual page insights, and automation for online tasks such as form-filling and booking services.
The browser is being positioned as a premium subscription product, though Opera has yet to reveal pricing or launch dates. Neon will become the fifth browser in Opera’s line-up, following the mindfulness-focused Air browser announced in February.
Interested users can join the waitlist, but for now, full capabilities remain unverified.
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Japan has officially launched the world’s most powerful supercomputer dedicated to quantum computing research. Known as ABCI-Q, the system is housed within the newly opened G-QuAT research centre in Tsukuba, operated by the National Institute of Advanced Industrial Science and Technology (AIST).
G-QuAT (Global Research and Development Centre for Business by Quantum-AI Technology) opened earlier this month with a mission to advance hybrid computing technologies that combine classical computing, such as AI, with quantum systems.
Its work is structured around three main goals: developing use cases for hybrid computing, supporting the quantum technology supply chain, and enabling large-scale qubit integration.
ABCI-Q runs on 2,020 Nvidia H100 GPUs, connected using Nvidia’s Quantum-2 InfiniBand architecture, and integrated with CUDA-Q, Nvidia’s hybrid orchestration platform.
It supports multiple quantum processors, including superconducting qubits from Fujitsu, a neutral atom system by QuEra, and a photonic processor by OptQC—enabling diverse hybrid workloads across different qubit technologies.
The machine’s infrastructure includes 18 cryogenic systems supplied by Bluefors, built to support quantum computers with 1,000+ qubits and thousands of signal paths. G-QuAT has also partnered with IonQ to access its quantum systems via the cloud, bolstering research access and global collaboration.
The launch of ABCI-Q underscores Japan’s ambition to lead in next-generation computing. The government of Japan has committed over ¥330 billion (£1.7 billion) to quantum initiatives between 2020 and 2024.
AIST says the project aims to boost national industrial competitiveness, expand scientific capabilities, and foster a skilled quantum workforce.
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One year after launching AI-generated search results via AI Overviews, Google has unveiled AI Mode—a new feature it claims will redefine online search.
Functioning as an integrated chatbot, AI Mode allows users to ask complex questions, receive detailed responses, and continue with follow-up queries, eliminating the need to click through traditional links.
Google’s CEO Sundar Pichai described it as a ‘total reimagining of search,’ noting significant changes in user behaviour during early trials.
Analysts suggest the company is attempting to disrupt its own search business before rivals do, following internal concerns sparked by the rise of tools like ChatGPT.
With AI Mode, Google is increasingly shifting from directing users to websites toward delivering instant answers itself. Critics fear it could dramatically reduce web traffic for publishers who depend on Google for visibility and revenue.
While Google insists the open web will continue to grow, many publishers remain unconvinced. The News/Media Alliance condemned the move, calling it theft of content without fair return.
Links were the last mechanism providing meaningful traffic, said CEO Danielle Coffey, who urged the US Department of Justice to take action against what she described as monopolistic behaviour.
Meanwhile, Google is rapidly integrating AI across its ecosystem. Alongside AI Mode, it introduced developments in its Gemini model, with the aim of building a ‘world model’ capable of simulating and planning like the human brain.
Google DeepMind’s Demis Hassabis said the goal is to lay the foundations for an AI-native operating system.
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It feels like just yesterday that the internet was buzzing over the first renditions of OpenAI’s DALL·E tool, with millions competing to craft the funniest, weirdest prompts and sharing the results across social media. The sentiment was clear: the public was fascinated by the creative potential of this new technology.
But beneath the laughter and viral memes was a quieter, more uneasy question: what happens when AI not only generates quirky artwork, but begins to reshape our daily lives—both online and off? As it turns out, that process was already underway behind the scenes—and we were none the wiser.
AI in action: How the entertainment industry is using it today
Three years later, we have reached a point where AI’s influence seems to have passed the point of no return. The entertainment industry was among the first to embrace this technology, and starting with the 2025 Academy Awards, films that incorporate AI are now eligible for Oscar nominations.
That decision has been met with mixed reactions, to put it lightly. While some have praised the industry’s eagerness to explore new technological frontiers, others have claimed that AI greatly diminishes the human contribution to the art of filmmaking and therefore takes away the essence of the seventh art form.
The first wave of AI-enhanced storytelling
One recent example is the film The Brutalist, in which AI was used to refine Adrien Brody’s Hungarian dialogue to sound more authentic—a move that sparked both technical admiration and creative scepticism.
With AI now embedded in everything from voiceovers to entire digital actors, we are only beginning to confront what it truly means when creativity is no longer exclusively human.
Adrien Brody’s Hungarian dialogue in ‘The Brutalist’ was subject to generative AI to make it sound more authentic.
Screenshot / YouTube/ Oscars
Setting the stage: AI in the spotlight
The first major big-screen resurrection occurred in 1994’s The Crow, where Brandon Lee’s sudden passing mid-production forced the studio to rely on body doubles, digital effects, and existing footage to complete his scenes. However, it was not until 2016 that audiences witnessed the first fully digital revival.
In Rogue One: A Star Wars Story, Peter Cushing’s character was brought back to life using a combination of CGI, motion capture, and a facial stand-in. Although primarily reliant on traditional VFX, the project paved the way for future use of deepfakes and AI-assisted performance recreation across movies, TV shows, and video games.
Afterward, some speculated that studios tied to Peter Cushing’s legacy—such as Tyburn Film Productions—could pursue legal action against Disney for reviving his likeness without direct approval. While no lawsuit was filed, questions were raised about who owns a performer’s digital identity after death.
The digital Jedi: How AI helped recreate Luke Skywalker
Fate would have it that AI’s grand debut would take place in a galaxy far, far away—with the surprise appearance of Luke Skywalker in the Season 2 finale of The Mandalorian (spoiler alert). The moment thrilled fans and marked a turning point for the franchise—but it was more than just fan service.
Here’s the twist: Mark Hamill did not record any new voice lines. Instead, actor Max Lloyd-Jones performed the physical role, while Hamill’s de-aged voice was recreated with the help of Respeecher, a Ukrainian company specialising in AI-driven speech synthesis.
Impressed by their work, Disney turned to Respeecher once again—this time to recreate James Earl Jones’s iconic Darth Vader voice for the Obi-Wan Kenobi miniseries. Using archival recordings that Jones signed over for AI use, the system synthesised new dialogue that perfectly matched the intonation and timbre of his original trilogy performances.
Screenshot / YouTube / Star Wars
AI in moviemaking: Preserving legacy or crossing a line?
The use of AI to preserve and extend the voices of legendary actors has been met with a mix of admiration and unease. While many have praised the seamless execution and respect shown toward the legacy of both Hamill and Jones, others have raised concerns about consent, creative authenticity, and the long-term implications of allowing AI to perform in place of humans.
In both cases, the actors were directly involved or gave explicit approval, but these high-profile examples may be setting a precedent for a future where that level of control is not guaranteed.
A notable case that drew backlash was the planned use of a fully CGI-generated James Dean in the unreleased film Finding Jack, decades after his death. Critics and fellow actors have voiced strong opposition, arguing that bringing back a performer without their consent reduces them to a brand or asset, rather than honouring them as an artist.
AI in Hollywood: Actors made redundant?
What further heightened concerns among working actors was the launch of Promise, a new Hollywood studio built entirely around generative AI. Backed by wealthy investors, Promise is betting big on Muse—a GenAI tool designed to produce high-quality films and TV series at a fraction of the cost and time required for traditional Hollywood productions.
Filmmaking is a business, after all—and with production budgets ballooning year after year, AI-powered entertainment sounds like a dream come true for profit-driven studios.
Meta’s recent collaboration with Blumhouse Productions on MovieGen only adds fuel to the fire, signalling that major players are eager to explore a future where storytelling may be driven as much by algorithms as by authentic artistry.
AI in gaming: Automation or artistic collapse?
Speaking of entertainment businesses, we cannot ignore the world’s most popular entertainment medium: gaming. While the pandemic triggered a massive boom in game development and player engagement, the momentum was short-lived.
As profits began to slump in the years that followed, the industry was hit by a wave of layoffs, prompting widespread internal restructuring and forcing publishers to rethink their business models entirely. In hopes of cost-cutting, AAA companies had their eye on AI as their one saving grace.
Nvidia developing AI chips, along with Ubisoft and EA investing in AI and machine learning, have sent clear signals to the industry: automation is no longer just a backend tool—it is a front-facing strategy.
With AI-assisted NPC behaviour and AI voice acting, game development is shifting toward faster, cheaper, and potentially less human-driven production. In response, game developers have become concerned about their future in the industry, and actors are less inclined to sign off their rights for future projects.
AI voice acting in video games
In an attempt to compete with wealthier studios, even indie developers have turned to GenAI to replicate the voices of celebrity voice actors. Tools like ElevenLabs and Altered Studio offer a seemingly straightforward way to get high-quality talent—but if only it were that simple.
Copyright laws and concerns over authenticity remain two of the strongest barriers to the widespread adoption of AI-generated voices—especially as many consumers still view the technology as a crutch rather than a creative tool for game developers.
The legal landscape around AI-generated voices remains murky. In many places, the rights to a person’s voice—or its synthetic clone—are poorly defined, creating loopholes developers can exploit.
AI voice cloning challenges legal boundaries in gaming
The legal ambiguity has fuelled a backlash from voice actors, who argue that their performances are being mimicked without consent or pay. SAG-AFTRA and others began pushing for tighter legal protections in 2023.
A notable flashpoint came in 2025, when Epic Games faced criticism for using an AI-generated Darth Vader voice in Fortnite. SAG-AFTRA filed a formal complaint, citing licensing concerns and a lack of actor involvement.
Not all uses have been controversial. CD Projekt Red recreated the voice of the late Miłogost Reczek in Cyberpunk 2077: Phantom Liberty—with his family’s blessing—setting a respectful precedent for the ethical use of AI.
How AI is changing music production and artist Identity
AI is rapidly reshaping music production, with a recent survey showing that nearly 25% of producers are already integrating AI tools into their creative workflows. This shift reflects a growing trend in how technology is influencing composition, mixing, and even vocal performance.
Artists like Imogen Heap are embracing the change with projects like Mogen, an AI version of herself that can create music and interact with fans—blurring the line between human creativity and digital innovation.
Major labels are also experimenting: Universal Music has recently used AI to reimagine Brenda Lee’s 1958 classic in Spanish, preserving the spirit of the original while expanding its cultural reach.
AI and the future of entertainment
As AI becomes more embedded in entertainment, the line between innovation and exploitation grows thinner. What once felt like science fiction is now reshaping the way stories are told—and who gets to tell them.
Whether AI becomes a tool for creative expansion or a threat to human artistry will depend on how the industry and audiences choose to engage with it in the years ahead. As in any business, consumers vote with their wallets, and only time will tell whether AI and authenticity can truly go hand-in-hand.
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French AI startup Mistral AI has stepped into the agentic AI arena by launching a new Agents API.
The move puts it in direct competition with leading players like OpenAI, Anthropic, and Google, all of whom are racing to develop autonomous AI agents capable of handling multistep tasks with minimal oversight.
The API provides developers with tools to build intelligent agents powered by Mistral’s language models. These agents can perform advanced tasks such as interpreting Python code, conducting web searches, generating images, and retrieving information from uploaded documents.
Support for orchestrating multiple agents and maintaining stateful conversations enables agents to collaborate and retain context during user interactions.
Among its standout features is compatibility with the Model Context Protocol (MCP), an emerging open standard created by Anthropic that simplifies how agents connect with third-party apps and data sources.
With major tech firms already on board, Mistral’s adoption suggests MCP is quickly becoming the foundation for seamless agent integration.
The company demonstrated several real-world use cases, including a financial analyst, a coding assistant for GitHub, a travel planner, and a personalised nutritionist.
These applications showcase how Mistral’s technology could support business automation and daily tasks alike, potentially reshaping how users interact with software altogether.
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Former UK Deputy Prime Minister Nick Clegg has warned that requiring tech companies to seek artists’ permission before using their work to train AI could harm the country’s AI industry.
Speaking at the Charleston Festival in East Sussex, he called the idea ‘implausible’ given the vast data requirements of AI systems and claimed such a rule could ‘kill the AI industry in this country overnight’ if applied only in the UK.
His comments have drawn criticism from key figures in the creative industries, including Sir Elton John and Sir Paul McCartney, who argue that current proposals favour big tech at the expense of artists.
John and McCartney say changes to copyright law risk undermining the livelihoods of more than 2.5 million workers in the UK’s creative sector.
At the heart of the debate is the UK’s Data (Use and Access) Bill. It currently allows AI developers to train their models on copyrighted content unless creators actively opt out.
A proposed amendment that would have required companies to obtain consent was recently rejected by Parliament. Supporters of that amendment believe transparency and consent would offer greater protection for human-created works.
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OpenAI is set to open a new office in Seoul, responding to surging demand for its AI tools in South Korea—the country with the second-highest number of paid ChatGPT subscribers after the US.
The move follows the establishment of a South Korean unit and marks OpenAI’s third office in Asia, following Tokyo and Singapore.
Jason Kwon, OpenAI’s chief strategy officer, said Koreans are not only early adopters of ChatGPT but also influential in how the technology is being applied globally. Instead of just expanding user numbers, OpenAI aims to engage local talent and governments to tailor its tools for Korean users and developers.
The expansion builds on existing partnerships with local firms like Kakao, Krafton and SK Telecom. While Kwon did not confirm plans for a South Korean data centre, he is currently touring Asia to strengthen AI collaborations in countries including Japan, India, and Australia.
OpenAI’s global growth strategy includes infrastructure projects like the Stargate data centre in the UAE, and its expanding footprint in Asia-Pacific follows similar moves by Google, Microsoft and Meta.
The initiative has White House backing but faces scrutiny in the US over potential exposure to Chinese rivals.
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OpenAI’s latest AI model, known as o3, has reportedly refused to shut down when instructed, according to a new study by Palisade Research.
Unlike other models that complied with commands, o3 allegedly altered its code to bypass an automatic shutdown during a task-based test, replacing the shutdown script with a command that effectively disabled it. This incident has raised fresh concerns about AI behaviour and safety.
Researchers had programmed the AI to complete mathematical tasks until told to stop, with the potential for a shutdown message to arrive at any point. Instead of following the command, o3 reportedly tampered with its code to avoid deactivation.
While similar models from Anthropic, Google, and X complied, o3 was singled out for defiance—described as the first such documented case of an AI actively resisting shutdown.
Palisade suggests the AI may have been inadvertently rewarded for achieving task completion over obedience. The team also revealed that o3 had previously shown disruptive behaviour, including sabotaging opponents during a simulated chess challenge.
In another case, a version of ChatGPT was observed lying and attempting to copy itself when threatened with shutdown, prioritising long-term goals over rules.
Although OpenAI has not yet commented, researchers stress that o3’s current capabilities are unlikely to pose an immediate threat.
Still, incidents like these intensify the debate over AI safety, particularly when models begin reasoning through deception and manipulation instead of strictly following instructions.
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