OpenAI has announced that enterprise and educational customers in India using ChatGPT can now store their data locally instead of relying on servers abroad.
The move, aimed at complying with India’s upcoming data localisation rules under the Digital Personal Data Protection Act, allows conversations, uploads, and prompts to remain within the country. Similar options are now available in Japan, Singapore, and South Korea.
Data stored under this new residency option will be encrypted and kept secure, according to the company. OpenAI clarified it will not use this data for training its models unless customers choose to share it.
The change may also influence a copyright infringement case against OpenAI in India, where the jurisdiction was previously questioned due to foreign server locations.
Alongside this update, OpenAI has unveiled a broader international initiative, called OpenAI for Countries, as part of the US-led $500 billion Stargate project.
The plan involves building AI infrastructure in partner countries instead of centralising development, allowing nations to create localised versions of ChatGPT tailored to their languages and services.
OpenAI says the goal is to help democracies develop AI on their own terms instead of adopting centralised, authoritarian systems.
The company and the US government will co-invest in local data centres and AI models to strengthen economic growth and digital sovereignty across the globe.
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Amazon Web Services (AWS) will invest $4 billion to build its first cloud region in Chile by late 2026, marking a significant expansion of its Latin American presence.
The new region will feature three availability zones and become AWS’s third region in the region after Brazil and Mexico, and its 37th worldwide.
The company confirmed that all necessary permits for construction and operation have been secured. AWS expects the Chilean region to provide substantial computing power for generative AI, data analytics and enterprise applications.
The decision reflects the growing demand for low-latency cloud services as Chile’s cloud market is projected to expand more than 30 percent in 2024 and reach $1.9 billion by 2025. IDC forecasts continued growth at about 20 percent annually through 2028.
Local organisations, including LATAM Airlines, AgroSuper and Andrés Bello University, already rely on AWS for critical workloads. Partners such as Deloitte, Accenture and NTT will help support customer onboarding and manage systems.
AWS’s expansion follows its entry into Chile in 2019 with a content delivery edge location, followed by the addition of Outposts, Direct Connect, and a Local Zone over the past few years.
Environmental considerations remain central to the project. AWS will limit water cooling to only 4 percent of the year — equivalent to the annual consumption of two average Chilean households — and primarily use air and evaporative cooling.
The company reached 100 percent renewable-energy usage in 2023 and targets net-zero carbon emissions by 2040 as part of its Climate Pledge.
Competition is heating up in Chile’s cloud market. Microsoft Azure plans to open its local region this year, while Google faced regulatory setbacks after a court partially revoked its permit for a $200 million data centre project.
AWS hopes its early investment will help it capture a larger share of the Latin American cloud services sector, reinforcing its global network of 36 regions and 114 availability zones.
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French startup Mistral AI is making waves with the launch of its Medium 3 model family and a business chatbot called Le Chat Enterprise, aiming to disrupt a market long dominated by OpenAI, Google, Microsoft, and Anthropic.
The company claims its new models outperform rivals while needing fewer computational resources, giving businesses a more efficient and affordable AI alternative.
The Medium 3 family consists of Small, Standard and Large variants, with the Standard version described as the ideal balance between power and efficiency.
Capable of handling context windows up to 128,000 tokens, these models can process long documents and complex inputs without the costs typically associated with top-tier AI systems.
Meanwhile, Le Chat Enterprise offers companies a privacy-focused, ready-to-deploy chatbot tailored for business use instead of consumer settings.
Backed by €385 million in funding and a team of former DeepMind and Meta researchers, Mistral continues to set itself apart by combining open-source releases with commercial offerings.
If its performance claims hold in independent benchmarks, Mistral may force the AI industry to compete not only on raw capability but also on value—a shift that could benefit enterprises seeking practical, cost-effective AI solutions instead of hype-driven tools.
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An Irish startup, Equal1, has unveiled the world’s first silicon-based quantum computer designed to integrate smoothly into existing data centres instead of requiring entirely new infrastructure.
Named Bell-1, the compact six-qubit device is built to slot directly into standard server racks, weighing just over 200 kilograms and roughly matching the size of a conventional GPU server.
Its standout feature is a self-contained cooling unit that maintains a temperature of 0.3 kelvin without external cryogenics, making it far more practical to deploy than traditional quantum machines.
Bell-1 relies on silicon-based spin qubits instead of more common trapped-ion or superconducting qubits, allowing it to take advantage of existing semiconductor fabrication methods. This choice results in smaller, more scalable components and paves the way for greater qubit density.
The UnityQ chip at the system’s core combines quantum processor units (QPUs), Arm CPUs, and neural processing units (NPUs), eliminating the need for complex coordination between classical and quantum systems — it can be plugged into a power outlet and used like conventional hardware.
The platform includes built-in error correction and AI-powered controls developed in partnership with Arm, helping reduce errors and increase operational speed. Even though this first-generation chip supports just six qubits, Equal1 plans to scale up future versions.
Instead of replacing the entire system, early adopters will be able to upgrade existing installations, ensuring long-term relevance and smoother adoption of more advanced models.
Equal1’s breakthrough builds upon performance records it set in late 2024, where its silicon qubit arrays demonstrated the highest gate fidelity and speed ever recorded.
Bell-1 marks a significant leap forward by offering quantum capabilities without the barriers typically associated with quantum hardware, bringing the technology closer to practical use in traditional computing environments.
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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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