Key Internet developments

Atlantic Quantum joins Google Quantum AI to advance scalable quantum hardware

Google Quantum AI has taken a major step in its pursuit of error-corrected quantum computing by integrating Atlantic Quantum, an MIT spin-out focused on superconducting hardware.

The move, while not formally labelled an acquisition, effectively brings the startup’s technology and talent into Google’s programme, strengthening its roadmap toward scalable quantum systems.

Atlantic Quantum, founded in 2021, has worked on integrating qubits with superconducting control electronics in the same cold stage.

A modular chip stack that promises to simplify design, reduce noise, and make scaling more efficient. Everything is equally important to build machines capable of solving problems beyond the reach of classical computers.

Google’s Hartmut Neven highlighted the approach as a way to accelerate progress toward large, fault-tolerant devices.

The startup’s journey, from MIT research labs to Google integration, has been rapid and marked by what CEO Bharath Kannan called ‘managed chaos’.

The founding team and investors were credited with pushing superconducting design forward despite the immense challenges of commercialising such cutting-edge technology.

Beyond hardware, Google gains a strong pool of engineers and researchers, enhancing its competitive edge in a field where rivals include IBM and several well-funded scale-ups.

A move that reflects a broader industry trend where research-heavy startups are increasingly folded into major technology firms to advance long-term quantum ambitions. With governments and corporations pouring resources into the race, consolidation is becoming common.

For Atlantic Quantum, joining Google ensures both technological momentum and access to resources needed for the next phase. As co-founder Simon Gustavsson put it, the work ‘does not stop here’ but continues within Google Quantum AI’s effort to deliver real-world quantum applications.

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Germany invests €1.6 billion in AI but profits remain uncertain

In 2025 alone, €1.6 billion is being committed to AI in Germany as part of its AI action plan.

The budget, managed by the Federal Ministry of Research, Technology and Space, has grown more than twentyfold since 2017, underlining Berlin’s ambition to position the country as a European hub for AI.

However, experts warn that the financial returns remain uncertain. Rainer Rehak of the Weizenbaum Institute argues that AI lacks a clear business model, calling the current trend an ‘investment game’ fuelled by speculation.

He cautioned that if real profits do not materialise, the sector could face a bubble similar to past technology hype cycles. Even OpenAI chief Sam Altman has warned of unsustainable levels of investment in AI.

Germany faces significant challenges in computing capacity. A study by the eco Internet Industry Association found that the country’s infrastructure may only expand to 3.7 gigawatts by 2030, while demand from industry could exceed 12 gigawatts.

Deloitte forecasts a capacity gap of around 50% within five years, with the US already maintaining more than twenty times Germany’s capacity. Without massive new investments in data centres, Germany risks lagging further behind.

Some analysts believe the country needs a different approach. Professor Oliver Thomas of Osnabrück University argues that while large-scale AI models are struggling to find profitability, small and medium-sized enterprises could unlock practical applications.

He advocates for speeding up the cycle from research to commercialisation, ensuring that AI is integrated into industry more quickly.

Germany has a history of pioneering research in fields such as computer technology, MP3, and virtual and augmented reality, but much of the innovation was commercialised abroad.

Thomas suggests focusing less on ‘made in Germany’ AI models and more on leveraging existing technologies from global providers, while maintaining digital sovereignty through strong policy frameworks.

Looking ahead, experts see AI becoming deeply integrated into the workplace. AI assistants may soon handle administrative workflows, organise communications, and support knowledge-intensive professions.

Small teams equipped with these tools could generate millions in revenue, reshaping the country’s economic landscape.

Germany’s heavy spending signals a long-term bet on AI. But with questions about profitability, computing capacity, and competition from the US, the path forward will depend on whether investments can translate into sustainable business models and practical use cases across the economy.

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Grok controversies shadow Musk’s new Grokipedia project

Elon Musk has announced that his company xAI is developing Grokipedia, a planned Wikipedia rival powered by its Grok AI chatbot. He described the project as a step towards achieving xAI’s mission of understanding the universe.

In a post on X, Musk called Grokipedia a ‘necessary improvement over Wikipedia,’ renewing his criticism of the platform’s funding model and what he views as ideological bias. He has long accused Wikimedia of leaning left and reflecting ‘woke’ influence.

Despite Musk’s efforts to position Grok as a solution to bias, the chatbot has occasionally turned on its creator. Earlier this year, it named Musk among the people doing the most harm to the US, alongside Donald Trump and Vice President JD Vance.

The Grok 4 update also drew controversy when users reported that the chatbot praised and adopted the surname of a controversial historical figure in its responses, sparking criticism of its safety. Such incidents raised questions about the limits of Musk’s oversight.

Grok is already integrated into X as a conversational assistant, providing context and explanations in real time. Musk has said it will power the platform’s recommendation algorithm by late 2025, allowing users to customise their feeds dynamically through direct requests.

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OpenAI’s Sora app raises tension between mission and profit

The US AI company, OpenAI, has entered the social media arena with Sora, a new app offering AI-generated videos in a TikTok-style feed.

The launch has stirred debate among current and former researchers, some praising its technical achievement while others worry it diverges from OpenAI’s nonprofit mission to develop AI for the benefit of humanity.

Researchers have expressed concerns about deepfakes, addictive loops and the ethical risks of AI-driven feeds. OpenAI insists Sora is designed for creativity rather than engagement, highlighting safeguards such as reminders for excessive scrolling and prioritisation of content from known contacts.

The company argues that revenue from consumer apps helps fund advanced AI research, including its pursuit of artificial general intelligence.

A debate that reflects broader tensions within OpenAI: balancing commercial growth with its founding mission. Critics fear the consumer push could dilute its focus, while executives maintain products like ChatGPT and Sora expand public access and provide essential funding.

Regulators are watching closely, questioning whether the company’s for-profit shift undermines its stated commitment to safety and ethical development.

Sora’s future remains uncertain, but its debut marks a significant expansion of AI-powered social platforms. Whether OpenAI can avoid the pitfalls that defined earlier social media models will be a key test of both its mission and its technology.

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UK’s Stockton secures £100m AI data centre to strengthen local economy

A £100m AI data centre has been approved for construction on the outskirts of Stockton, with developers Latos Data Centres pledging up to 150 new jobs.

The Preston Farms Industrial Estate site will feature two commercial units, plants, substations and offices, designed to support the growing demands of AI and advanced computing.

Work on the Neural Data Centre is set to begin at the end of the year, with full operations expected by 2028. The project has been welcomed by Industry Minister and Stockton North MP Chris McDonald, who described it as a significant investment in skills and opportunities for the future.

Latos managing director Andy Collin said the facility was intended to be ‘future proof’, calling it a purpose-built factory for the modern digital economy. Local leaders hope the investment will help regenerate Teesside’s industrial base, positioning the region as a hub for cutting-edge infrastructure.

The announcement follows the UK government’s decision to create an AI growth zone in the North East, covering sites in Northumberland and Tyneside. Teesworks in Redcar was not included in the initial allocation, but ministers said further proposals from Teesside were still under review.

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Quantum leap as Caltech builds 6,100-qubit processor

A team of physicists at the California Institute of Technology has unveiled a quantum computing breakthrough, creating an array of 6,100 qubits, the largest of its kind to date.

The leap surpasses previous systems, which typically contained around a thousand qubits, and marks a step closer to practical quantum algorithms.

Researchers used caesium atoms as qubits, trapping them with laser tweezers inside an ultra-high-vacuum chamber.

These qubits maintained superposition for almost 13 seconds, nearly ten times longer than previous benchmarks. They could also be manipulated with 99.98 percent accuracy, proving that scaling up need not compromise precision.

Unlike classical bits, qubits exploit superposition, allowing a spread of probabilities instead of fixed binary states. It enables powerful computations but also demands error correction to overcome qubit fragility. The surplus qubits in this new array provide a path to large, error-corrected machines.

Physicists believe the next milestone will involve harnessing entanglement, enabling the shift from storing quantum information to processing it. If progress continues, quantum computers could soon revolutionise science by uncovering new materials, forms of matter, and fundamental laws of physics.

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Uzbekistan positions itself as Central Asia’s new AI and technology hub

Using its largest-ever ICT Week, Uzbekistan is showcasing ambitions to become a regional centre for AI and digital transformation.

More than 20,000 participants, 300 companies, and delegations from over 50 countries gathered in Tashkent, signalling Central Asia’s growing role in the global technology landscape.

The country invests in AI projects across various sectors, including education, healthcare, banking, and industry, with more than 100 initiatives underway.

Officials emphasise that digitalisation must serve people directly, by improving services and creating jobs for Uzbekistan’s young and expanding population.

The demographic advantage is shaping a vision of AI that prioritises dignity, opportunity, and inclusive growth.

International recognition has followed. The UN’s International Telecommunication Union described Uzbekistan as ‘leading the way’ in the region, praising high connectivity, supportive policies, and progress in youth participation and gender equality.

Infrastructure is also advancing, with global investors like DataVolt building one of Central Asia’s most advanced data centres in Tashkent.

Uzbekistan’s private sector is also drawing attention. Fintech and e-commerce unicorn Uzum recently secured significant investment from Tencent and VR Capital, reaching a valuation above €1.3 billion.

Public policy and private investment are positioning the country as a credible AI hub connecting Europe, Asia, and the Middle East.

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The EU unveils VLQ quantum computer in Czech Republic

A new quantum computer has been inaugurated at the IT4Innovations National Supercomputing Centre in Ostrava, Czech Republic. The system is the second quantum computer launched under the EuroHPC Joint Undertaking and forms part of Europe’s push to build its quantum infrastructure.

Developed by IQM Quantum Computers, VLQ houses 24 superconducting qubits arranged in a star-shaped topology, designed to reduce swap operations and improve efficiency.

The €5 million project was co-funded by EuroHPC JU and the LUMI-Q consortium, which includes partners from eight European countries. Scientists expect VLQ to accelerate progress in quantum AI, drug discovery, new material design, renewable energy forecasting, and security applications.

The Czech machine will not work in isolation. It is directly connected to the Karolina supercomputer and will later link to the LUMI system in Finland, enabling hybrid classical–quantum computations. Access will be open to researchers, companies, and the public sector across Europe by the end of 2025.

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Google expands Search Live to US users

Google has expanded its Search Live feature to all app users in the US after several months of testing.

The tool allows people to hold voice conversations with AI Mode inside Google Search and even share a live camera feed. With this, the system can interpret surroundings, respond in real time, and suggest web links for deeper exploration.

The feature, powered by a customised version of Google’s Gemini chatbot, can run in the background while other apps are open. Google highlighted uses ranging from travel help to troubleshooting tasks.

Search Live is currently available only in English in the US. It can be enabled in the Google app by tapping the new Live icon or through Google Lens by selecting the Live button at the bottom of the screen.

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UN urges global rules to ensure AI benefits humanity

The UN Security Council debated AI, noting its potential to boost development but warning of risks, particularly in military use. Secretary-General António Guterres called AI a ‘double-edged sword,’ supporting development but posing threats if left unregulated.

He urged legally binding restrictions on lethal autonomous weapons and insisted nuclear decisions remain under human control.

Experts and leaders emphasised the urgent need for global regulation, equitable access, and trustworthy AI systems. Yoshua Bengio of Université de Montréal warned of risks from misaligned AI, cyberattacks, and economic concentration, calling for greater oversight.

Stanford’s Yejin Choi highlighted the concentration of AI expertise in a few countries and companies, stressing that democratising AI and reducing bias is key to ensuring global benefits.

Representatives warned that AI could deepen digital inequality in developing regions, especially Africa, due to limited access to data and infrastructure.

Delegates from Guyana, Somalia, Sierra Leone, Algeria, and Panama called for international rules to ensure transparency, fairness, and prevent dominance by a few countries or companies. Others, including the United States, cautioned that overregulation could stifle innovation and centralise power.

Delegates stressed AI’s risks in security, urging Yemen, Poland, and the Netherlands called for responsible use in conflict with human oversight and ethical accountability.Leaders from Portugal and the Netherlands said AI frameworks must promote innovation, security, and serve humanity and peace.

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