OpenAI plans to reduce the share of revenue it gives Microsoft as part of its long-term partnership, according to a report by The Information.
The AI firm has told investors it expects to share just 10 per cent of its revenue with Microsoft and other commercial partners by 2030, instead of the 20 per cent originally agreed under its current deal.
The change comes as OpenAI scales back a broader restructuring effort. The company’s nonprofit parent will now retain control, a move likely to limit CEO Sam Altman’s influence. Despite ongoing collaboration, this shift signals a recalibration of financial and governance dynamics between the two companies.
Microsoft, which recently altered parts of its agreement with OpenAI while pursuing major AI data centre projects, has not commented on the latest report. OpenAI, meanwhile, said it remains committed to working closely with Microsoft and expects to finalise the details of its recapitalisation soon.
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We are confronted with this phenomenon through photos, video and audio recordings that can easily confuse us and force us to question our perception of reality.
And while the public often focuses on deepfakes, at the same time we are witnessing inventions and patents emerging around the world that deserve admiration, but also spark important reflection: are we nearing, or have we already crossed, the ethical red line?
For these and many other reasons, in a world where the visual and functional differences between science fiction and reality have almost disappeared, the latest inventions come as a shock.
We are now at a point where we are facing technologies that force us to redefine what we mean by the word ‘reality’.
Neuralink: Crossing the boundary between brain and machine
Amyotrophic lateral sclerosis (ALS) is a rare neurological disease caused by damage and degeneration of motor neurons—nerve cells in the brain and spinal cord. This damage disrupts the transmission of nerve impulses to muscles via peripheral nerves, leading to a progressive loss of muscle function.
However, the Neuralink chip, developed by Elon Musk’s company, has helped one patient type with their mind and speak using their voice. This breakthrough opens the door to a new form of communication where thoughts become direct interactions.
Liquid robot from South Korea
Scenes from sci-fi films are becoming reality, and in this case (thankfully), a liquid robot has a noble purpose—to assist in rescue missions and be applied in medicine.
Currently in the early prototype stage, it has been demonstrated in labs through a collaboration between MIT and Korean research institutes.
ULS exoskeleton as support for elderly care
Healthcare workers and caregivers in China have had their work greatly simplified thanks to the ULS Robotics exoskeleton, weighing only five kilograms but enabling users to lift up to 30 kilograms.
This represents a leap forward in caring for people with limited mobility, while also increasing safety and efficiency. Commercial prototypes have been tested in hospitals and industrial environments.
Another example from China that has been in use for several years. Robots equipped with AI perform precise crop spraying. The system analyses pests and targets them without the need for human presence, reducing potential health risks.
The application has become standardised, with expectations for further expansion and improvement in the near future.
The stretchable battery of the future
Researchers in Sweden have developed a flexible battery that can double in length without losing energy, making it ideal for wearable technologies.
Although not yet commercially available, it has been covered in scientific journals. The aim is for it to become a key component in bendable devices, smart clothing and medical implants.
Volonaut Airbike: A sci-fi vehicle takes off
When it comes to innovation, the Volonaut Airbike hits the mark perfectly. Designed to resemble a single-seat speeder bike from Star Wars, it represents a giant leap toward personal air travel.
Functional prototypes exist, but testing remains limited due to high production costs and regulatory hurdles related to traffic laws. Nevertheless, the Polish company behind it remains committed to this idea, and it will be exciting to follow its progress.
NEO robot: The humanoid household assistant
A Norwegian company has been developing a humanoid robot capable of performing household tasks, including gardening chores like collecting and bagging leaves or grass.
These are among the first serious steps toward domestic humanoid assistants. Currently functioning in demo mode, the robot has received backing from OpenAI.
Lenovo Yoga Solar: The laptop that loves sunlight
If you find yourself without a charger but with access to direct sunlight, this laptop will do everything it can to keep you powered. Using solar energy, 20 minutes of charging in sunlight provides around one hour of video playback.
Perfect for ecologists and digital nomads. Although not yet commercially available, it has been showcased at several major tech expos.
https://www.youtube.com/watch?v=px1iEW600Pk
What comes next: The need for smart regulation
As technology races ahead, regulation must catch up. From neurotech to autonomous robots, each innovation raises new questions about privacy, accountability, and ethics.
Governments and tech developers alike must collaborate to ensure that these inventions remain tools for good, not risks to society.
So, what is real and what is generated?
This question will only become harder to answer as time goes on. But on the other hand, if the technological revolution continues to head in a useful and positive direction, perhaps there is little to fear.
The true dilemma in this era of rapid innovation may not be about the tools themselves, but about the fundamental question: Is technology shaping us, or do we still shape it?
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Google has launched a new version of its flagship AI model called Gemini 2.5 Pro Preview (I/O edition), ahead of its annual developer event.
The updated version promises major improvements in coding, app development, and video understanding, and replaces the existing Gemini 2.5 Pro model without changing the price.
Developers can access it through the Gemini API, Vertex AI, AI Studio, and the Gemini chatbot app for web and mobile.
Rather than sticking with older features, the I/O edition aims to reduce coding errors and improve how the model handles complex tasks like function calling and code transformation.
Google says the update directly responds to developer feedback by making the model more reliable and better at triggering functions accurately.
Gemini 2.5 Pro Preview (I/O edition) currently leads the WebDev Arena Leaderboard, a benchmark for creating functional and visually appealing web apps. It also scores highly in video analysis tasks, with a benchmark result of 84.8% on VideoMME, one of the best performances in the field so far.
Instead of letting competitors like OpenAI and xAI take the spotlight, Google is pushing to strengthen its position in the AI race. The timing of this release, just before the I/O conference, hints at more AI-related announcements to come as the tech giant seeks to keep pace in a rapidly evolving market.
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AI is supporting lost-and-found services across Japan, helping reunite thousands with misplaced possessions. Tokyo-based Find Inc has developed a platform now used by around 30 organisations at 2,300 sites, including train stations, airports and police departments.
The system analyses photos and descriptions of lost items and compares them with user-submitted information through apps like Line. Keio Corp and Yurikamome Inc report significant improvements in return rates since adopting the AI-powered tool.
Users can search for items in Japanese, English, Chinese and Korean, with the AI suggesting possible matches even from vague descriptions. The platform has handled over 1.5 million lost items, returning nearly half a million to their owners.
Previously reliant on spreadsheets and manual searches, many operators now benefit from faster identification and fewer inquiries. Tokyo and Oita police departments, along with commercial hubs like Hakata Station, have embraced the technology.
As adoption spreads, Find Inc aims to simplify the process of recovering lost items for even more people.
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As healthcare costs rise and waiting lists grow, many people are turning to AI chatbots like ChatGPT for medical advice. However, a new Oxford-led study suggests chatbots may not improve, and could even hinder, health decision-making.
Participants using AI models such as GPT-4o, Cohere’s Command R+ and Meta’s Llama 3 often missed key health conditions or underestimated their severity.
Researchers found users struggled to provide complete information to chatbots and sometimes received confusing, mixed-quality responses.
Participants performed no better than those using traditional methods like online searches or personal judgment. Experts caution that current chatbot evaluations fail to reflect the real-world complexity of human-AI interaction.
While tech giants like Apple, Amazon and Microsoft push AI-driven health tools, professionals remain wary of applying such technology to serious medical decisions. The American Medical Association advises against using chatbots for clinical decision-making.
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AI tools such as pain-detecting apps, night-time sensors, and even training robots are increasingly shaping social care in the UK.
Care homes now use the Painchek app to scan residents’ faces for pain indicators, while sensors like AllyCares monitor unusual activity, reducing preventable hospital visits.
Meanwhile, Oxford researchers have created a robot that helps train carers by mimicking patients’ reactions to pain. Families often adjust to the technology after seeing improvements in their loved ones’ care, but transparency and human oversight remain essential.
Despite the promise of these innovations, experts urge caution. Dr Caroline Green from the University of Oxford warns that AI must remain a support, not a replacement, and raises concerns about bias, data privacy, and potential overdependence on technology.
With the UK ageing population and staffing shortages straining social care, technology offers valuable assistance.
Specialists stress that investment in skilled human carers is crucial and the government has endorsed the role of AI in care but has yet to establish clear national policies guiding its ethical use
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Motorola has unveiled its latest Razr flip phones, packed with AI features from a mix of tech giants including Google, Microsoft, Meta and Perplexity. The Ultra, Plus and standard Razr models will debut on 15 May, with tools that suggest actions, summarise notifications and even respond to the user’s gaze.
Perplexity’s AI app will come preinstalled, marking a rare shift towards diversifying AI search tools on Android devices. Unlike rivals Apple and Samsung, Motorola’s strategy integrates multiple AI systems, avoiding reliance on a single provider.
Notably absent is OpenAI’s technology, with Motorola instead selecting partners based on their expertise in research, productivity and user engagement. Meta’s Llama model, Microsoft’s Copilot and Google’s Gemini assistant will all feature in the new phones.
The launch comes as Google faces legal scrutiny over its search engine dominance, raising questions about future control of the AI market. Despite trade tensions and potential tariff impacts, Motorola has kept prices steady, crediting its parent company Lenovo’s adaptable supply chain.
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Google has begun embedding advertisements within AI chatbot conversations as part of its AdSense network, strengthening its hold on the digital advertising market.
A company spokesperson confirmed that ‘AdSense for Search is available for websites that want to show relevant ads in their conversational AI experiences.’ The move comes as AI startups increasingly adopt advertising models to manage the steep costs of operating generative AI systems.
The introduction of ads into chatbot interactions continues Google’s two-decade-long strategy of extending its ad dominance to new technologies and user interfaces.
From revolutionising online ads with AdWords in 2000 to expanding into mobile and video, Google has consistently adapted its approach to maintain market leadership.
Integrating ads into AI chatbots marks the latest step, as the company responds to shifts in how users engage with digital content. This is especially vital as its core search ad business faces growing competition from AI-first platforms like Perplexity.
Google’s timing is also shaped by mounting regulatory pressure. In April 2025, a federal judge ruled the company had violated antitrust laws in key advertising markets, threatening its control of the digital ad ecosystem.
By establishing its ad presence in emerging AI markets, Google is seeking to secure new revenue streams and embed its standards before regulations catch up. This strategic pivot helps Google maintain relevance even as its traditional business faces legal challenges.
For AI startups, the introduction of advertising is driven by economic necessity. Generative AI systems incur high operational costs, making monetisation through ads increasingly attractive.
Partnering with Google offers immediate access to a global advertiser base and proven monetisation tools. Companies like iAsk and Liner have embraced the model, with Liner’s CEO describing their ads as an early version of Google’s own search ads.
As the AI market rapidly grows, projected to exceed $800 billion by 2030, establishing sustainable revenue models has become a priority.
Users of the Gemini app will now find it much easier to upload multiple images thanks to a new quality-of-life update.
Until now, only a single image could be added per prompt, with any new upload forcing the previous one to be removed. That restriction has been lifted, with support for up to 10 images now available across Android, iOS, and the web.
On mobile devices, users can select multiple photos directly through the system gallery or Gemini’s built-in Camera.
After capturing an image, the viewfinder remains accessible, allowing for additional photos to be taken and uploaded without leaving the prompt. Those who do not yet see the feature may need to force stop and restart the app for it to become available.
Web users visiting gemini.google.com will also benefit from this improvement, though uploads are limited to 10 images per session. Attempts to exceed this limit will result in a clear notification explaining that only 10 attachments can be uploaded at once.
The change applies to all current Gemini models, including 2.0 Flash, 2.5 Flash, and 2.5 Pro. In announcing the update, Gemini lead Josh Woodward encouraged users to share feedback, especially about common frustrations and other user experience issues.
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China’s tourism industry is undergoing rapid transformation as AI technologies become increasingly integrated into both national platforms and regional services. Instead of relying solely on traditional travel planning, tourists can now receive personalised itinerary suggestions in seconds.
Major platforms such as Trip.com use large AI models to assist users before, during and after their journeys—cutting decision-making time from 9 to 6.6 hours, according to Chairman Liang Jianzhang.
Several provinces and cities, including Guizhou and Shanghai, have launched their own AI tourism agents with distinct local features. Guizhou’s Huang Xiao Xi, a digital assistant in ethnic attire, offers tailored travel plans and food ordering options instantly.
Meanwhile, Shanghai’s Hu Xiao You connects tourists with real-time data about venues, traffic, and public amenities, learning from user feedback to improve recommendations over time.
Instead of overwhelming tourists with raw data, these AI agents streamline access to relevant information for a more efficient travel experience.
The rise of wearable AI guides and immersive tech, such as VR, AR, and 3D projections, has also transformed visits to museums and exhibitions. Visitors can now interact with holographic historical figures or animated ancient artworks, blending culture with innovation.
Rather than replacing traditional tourism, China is revitalising it through technology, aiming for improved digitisation, automation and smarter services that meet local development goals.
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