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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AMD expects to lose around US$1.5 billion in revenue this year because of new US export restrictions on advanced AI chips, which now require a licence to be sold to China.
The US government, under both the Biden and Trump administrations, has tightened curbs on chip exports in an effort to slow China’s progress in developing powerful AI systems, citing national security risks.
China makes up roughly a quarter of AMD’s total revenue, so these measures could reduce AMD’s expected annual earnings by almost 5 per cent.
Despite this setback, AMD posted stronger-than-expected second-quarter revenue guidance, forecasting around US$7.4 billion, likely driven by customers rushing to stockpile chips before the new rules fully take effect.
CEO Lisa Su said the impact from the curbs would be mostly felt during the second and third quarters, yet she still expects revenue from the company’s AI data centre chips to grow by strong double digits in 2024.
AMD’s finance chief Jean Hu clarified the projected US$1.5 billion revenue loss is tied directly to the latest export controls introduced in April.
Although AMD is under pressure, demand for its high-performance chips remains solid, with tech giants like Microsoft and Meta continuing to invest heavily in AI infrastructure.
The company’s data centre division saw sales jump 57 per cent to US$3.7 billion, helping push total revenue up 36 per cent to US$7.44 billion—both figures exceeding analyst expectations. Adjusted earnings stood at 96 cents per share, slightly above estimates.
Rival chipmaker Nvidia has also warned it now requires a licence to export to China and faces an even larger US$5.5 billion hit.
Meanwhile, other tech firms didn’t fare as well—Marvell Technology and Super Micro disappointed investors, with shares falling after they issued weaker outlooks, adding further signs of turbulence in the chip sector.
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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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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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OpenAI, the creator of ChatGPT, is reportedly set to acquire Windsurf, an AI-powered coding assistant formerly known as Codeium, for $3 billion, according to Bloomberg. If confirmed, it would be OpenAI’s largest acquisition to date.
The deal is still pending closure, but it follows recent investment talks Windsurf held with major backers such as General Catalyst and Kleiner Perkins, valuing the startup at the same amount.
Windsurf was last valued at $1.25 billion in 2024 after a $150 million funding round. Instead of raising more capital independently, the company now appears poised to join OpenAI, which is looking to bolster its suite of developer tools within ChatGPT.
The acquisition reflects OpenAI’s efforts to remain competitive in the fast-evolving AI coding landscape, following earlier purchases like Rockset and Multi last year.
OpenAI also revealed it would scale back a planned restructuring, abandoning its proposal to become a for-profit entity.
The decision comes amid growing scrutiny and legal challenges, including a high-profile lawsuit from Elon Musk, who accused the firm of drifting from its founding mission to develop AI that serves humanity.
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Nvidia has unveiled plans to open the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, a facility set to bridge quantum computing and AI supercomputing.
Expected to begin operations later this year, the centre aims to accelerate the shift from experimental to practical quantum computing.
Rather than treating quantum hardware as a standalone endeavour, Nvidia intends to integrate it with existing AI-driven systems, believing this combination could unlock solutions to problems unsolvable by today’s machines.
Quantum computing—much like AI in its early stages—fits naturally with Nvidia’s core strength: parallel processing. Instead of continuing to rely on traditional serial computing, the company has long embraced parallelism through its GPU technology and CUDA software platform.
Nvidia’s success in transforming GPUs from graphics engines into tools for scientific and commercial applications began with its bold decision to make CUDA available across all its products, even at the cost of short-term profit margins.
Nvidia now sees quantum error correction as the next major challenge. Current quantum computers, operating with between fifty and one hundred qubits, face a high error rate due to environmental ‘noise.’
Achieving truly useful systems will require a million qubits or more, most of which will be used for error correction. Instead of depending solely on traditional methods, Nvidia plans to use AI to develop scalable solutions capable of correcting errors in real time.
The Boston-based NVAQC will serve as a testing ground for these innovations. Harvard, MIT, and quantum startups like Quantinuum and QuEra will collaborate with Nvidia’s quantum team to train AI models for error correction and test them using Nvidia’s top-tier supercomputers.
By doing so, Nvidia hopes to make quantum computing not just viable, but powerful and practical at scale.
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A new app called Hazel, developed by Bristol-based company Spicy Minds, offers parents a powerful tool to understand better and support their neurodivergent children while waiting for formal diagnoses. Using AI, the app runs a series of tests and then provides personalised strategies tailored to everyday challenges like school routines or holidays.
While it doesn’t replace a medical diagnosis, Hazel aims to fill a critical gap for families stuck in long waiting queues. Spicy Minds CEO Ben Cosh emphasised the need for quicker support, noting that many families wait years before receiving an autism diagnosis through the UK’s NHS.
‘Parents shouldn’t have to wait years to understand their child’s needs and get practical support,’ he said.
In Bristol alone, around 7,000 children are currently on waiting lists for an autism assessment, a number that continues to rise. Parents like Nicola Bennett, who waited five years for her son’s diagnosis, believe the app could be life-changing.
She praised Hazel for offering real-time guidance for managing sensory needs and daily planning—tools she wished she’d had much earlier. She also suggested integrating links to local support groups and services to make the app even more impactful.
By helping reduce stress and giving families a head start on understanding neurodiversity, Hazel represents a meaningful step toward more accessible, tech-driven support for parents navigating a complex and often delayed healthcare system.
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Apple is reportedly collaborating with Anthropic, a startup backed by Amazon, to develop a new AI-powered coding platform called ‘vibe coding’, according to Bloomberg.
The platform will use Anthropic’s Claude Sonnet model to write, edit, and test code on behalf of programmers, updating Apple’s existing Xcode software instead of launching an entirely separate tool.
‘Vibe coding’ refers to a growing trend in AI development where intelligent agents generate code autonomously instead of relying on manual programming. Apple is said to be testing the system internally for now, with no confirmed decision on whether it will become publicly available.
The move comes as tech firms race to lead in generative AI. While Apple previously introduced a similar tool, Swift Assist, it was never released to developers amid concerns from engineers about possible slowdowns in app creation.
Apple and Anthropic have not commented publicly on the reported collaboration.
With rivals like OpenAI pushing ahead—reportedly negotiating a $3 billion acquisition of coding assistant Windsurf—Apple is equipping its devices with more advanced chips and AI features, including ChatGPT integration, to compete in the rapidly evolving landscape instead of falling behind.
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Nvidia is planning to redesign its AI chips to comply with tightened US export restrictions, aiming to retain its foothold in China instead of pulling back.
According to a report by The Information, the chipmaker has already informed major Chinese clients, such as Alibaba, ByteDance, and Tencent, about its revised strategy. The discussions reportedly occurred during CEO Jensen Huang’s visit to Beijing in mid-April.
The visit came just after Washington expanded its curbs on high-performance AI chip exports to China, specifically targeting Nvidia’s H20 chip.
Originally developed to meet earlier US rules, the H20 has now also been deemed too powerful for export under the new regulations. The US government says the move is aimed at preventing China’s military from accessing cutting-edge AI.
Nvidia previously warned that the latest restrictions could cost it up to $5.5 billion in lost revenue. Instead of backing away, the company is now preparing redesigned chips to stay within legal bounds while continuing to serve Chinese tech firms.
Customers have been told that prototype chips could be ready by June.
In addition, Nvidia is developing a tailored version of its next-generation AI chip, Blackwell, specifically for China. These efforts underline Nvidia’s attempt to balance regulatory compliance with its commercial interests in one of the world’s largest AI markets.
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