Future of work

Scientist and DeepMind’s CEO Demis Hassabis says learning how to learn is key to the AI future

The Nobel laureate, Demis Hassabis, has argued that the most crucial ability for the next generation will be learning how to learn.

Speaking at the Odeon of Herodes Atticus in Athens, Greece, he said adaptability was vital as AI reshapes work and education.

The neuroscientist and former chess prodigy predicted that AGI machines with human-level versatility could emerge within a decade. He described it as a development that may create a future of radical abundance, although he warned of risks.

Hassabis urged a stronger focus on ‘meta-skills’ such as optimising approaches to new subjects, instead of relying solely on traditional disciplines.

Given the speed of technological change, he emphasised that people will need to update their knowledge continuously throughout their careers.

His remarks came during a discussion with Greek Prime Minister Kyriakos Mitsotakis, who warned that the unchecked growth of technology giants could fuel economic inequality and social unrest if citizens do not see clear benefits from AI adoption.

Hassabis’s work on protein folding won him the 2024 Nobel Prize in chemistry.

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xAI cuts 500 jobs as focus turns to specialist AI tutors

Elon Musk’s company xAI has laid off around 500 staff from its data annotation team after deciding to reduce its focus on general AI tutors. The employees were told their system access would be revoked immediately, although salaries will be paid until contracts end or until 30 November.

According to reports, the company will instead invest more heavily in specialist AI tutors for areas such as video games, web design, data science, medicine, and STEM.

xAI announced plans to expand the specialist team tenfold, describing the roles as highly valuable to developing its technology.

The shift comes as xAI continues to promote its chatbot Grok. Musk recently highlighted its predictive abilities, sharing benchmarks that measure performance in forecasting politics, economics, sports, and cultural events.

Observers see the move toward specialist tutors as a way to refine Grok’s training and strengthen its commercial applications.

The layoffs follow earlier signs of restructuring, with some senior staff reportedly losing access to internal systems before the formal announcement.

Analysts suggest the changes reflect a strategic recalibration, aiming to boost productivity instead of spreading resources too thinly across generalist roles.

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Anthropic introduces memory feature to Claude AI for workplace productivity

The AI startup Anthropic has added a memory feature to its Claude AI, designed to automatically recall details from earlier conversations, such as project information and team preferences.

Initially, the upgrade is only available to Team and Enterprise subscribers, who can manage, edit, or delete the content that the system retains.

Anthropic presents the tool as a way to improve workplace efficiency instead of forcing users to repeat instructions. Enterprise administrators have additional controls, including entirely turning memory off.

Privacy safeguards are included, such as an ‘incognito mode’ for conversations that are not stored.

Analysts view the step as an effort to catch up with competitors like ChatGPT and Gemini, which already offer similar functions. Memory also links with Claude’s newer tools for creating spreadsheets, presentations, and PDFs, allowing past information to be reused in future documents.

Anthropic plans a wider release after testing the feature with businesses. Experts suggest the approach could strengthen the company’s position in the AI market by offering both continuity and security, which appeal to enterprises handling sensitive data.

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EU enforces tougher cybersecurity rules under NIS2

The European Union’s NIS2 directive has officially come into force, imposing stricter cybersecurity duties on thousands of organisations.

Adopted in 2022 and implemented into national law by late 2024, the rules extend beyond critical infrastructure to cover more industries. Energy, healthcare, transport, ICT, and even waste management firms now face mandatory compliance.

Measures include multifactor authentication, encryption, backup systems, and stronger supply chain security. Senior executives are held directly responsible for failures, with penalties ranging from heavy fines to operational restrictions.

Companies must also report major incidents promptly to national authorities. Unlike ISO certifications, NIS2 requires organisations to prove compliance through internal processes or independent audits, depending on national enforcement.

Analysts warn that firms still reliant on legacy systems face a difficult transition. Yet experts agree the directive signals a decisive shift: cybersecurity is now a legal duty, not simply best practice.

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Jaguar Land Rover extends production halt after cyberattack

Jaguar Land Rover has told staff to stay at home until at least Wednesday as the company continues to recover from a cyberattack.

The hack forced JLR to shut down systems on 31 August, disrupting operations at plants in Halewood, Solihull and Wolverhampton, UK. Production was initially paused until 9 September but has now been extended for at least another week.

Business minister Sir Chris Bryant said it was too early to determine whether the attack was state-sponsored. The incident follows a wave of cyberattacks in the UK, including recent breaches at M&S, Harrods and train operator LNER.

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Ukraine urges ethical use of AI in education

AI can help build individual learning paths for Ukraine’s 3.5 million students, but its use must remain ethical, First Deputy Minister of Education and Science Yevhen Kudriavets has said.

Speaking to UNN, Kudriavets stressed that AI can analyse large volumes of information and help students acquire the knowledge they need more efficiently. He said AI could construct individual learning trajectories faster than teachers working manually.

He warned, however, that AI should not replace the educational process and that safeguards must be found to prevent misuse.

Kudriavets also said students in Ukraine should understand the reasons behind using AI, adding that it should be used to achieve knowledge rather than to obtain grades.

The deputy minister emphasised that technology itself is neutral, and how people choose to apply it determines whether it benefits education.

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Educators rethink assignments as AI becomes widespread

Educators are confronting a new reality as AI tools like ChatGPT become widespread among students. Traditional take-home assignments and essays are increasingly at risk as students commonly use AI chatbots to complete schoolwork.

Schools are responding by moving more writing tasks into the classroom and monitoring student activity. Teachers are also integrating AI into lessons, teaching students how to use it responsibly for research, summarising readings, or improving drafts, rather than as a shortcut to cheat.

Policies on AI use still vary widely. Some classrooms allow AI tools for grammar checks or study aids, while others enforce strict bans. Teachers are shifting away from take-home essays, adopting in-class tests, lockdown browsers, or flipped classrooms to manage AI’s impact better. 

The inconsistency often leaves students unsure about acceptable use and challenges educators to uphold academic integrity.

Institutions like the University of California, Berkeley, and Carnegie Mellon have implemented policies promoting ‘AI literacy,’ explaining when and how AI can be used, and adjusting assessments to prevent misuse.

As AI continues improving, educators seek a balance between embracing technology’s potential and safeguarding academic standards. Teachers emphasise guidance, structured use, and supervision to ensure AI supports learning rather than undermining it.

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New AI and digital ministry in Kazakhstan to drive national transformation

Kazakhstan is stepping up its digital ambitions with President Kassym-Jomart Tokayev announcing the creation of a Ministry of Artificial Intelligence and Digital Development. Speaking during his annual state-of-the-nation address, Tokayev said the move is part of the country’s goal to become a fully digital nation within three years.

The new ministry will lead efforts to modernise the economy through AI, big data, and platform technologies, guided by a forthcoming national strategy called Digital Kazakhstan. Tokayev stressed that digital transformation is not optional but essential for Kazakhstan, which he described as being at the crossroads of global technological shifts.

He warned that while opportunities are vast, challenges such as geopolitical tensions, economic inequality, and even AI-based weapons are on the rise. For Kazakhstan, he said, the priority is to ensure stability, prosperity, and a secure future for the younger generation by embracing decisive reforms and adapting to the new technological order.

A major part of this vision is the development of Alatau City, a planned innovation hub near Almaty. Designed as the country’s first fully digital city, it will feature Smart City technologies, digital payments, and cryptocurrency use. Tokayev revealed that land and infrastructure are already prepared, and international partnerships, including with a Chinese company behind Shenzhen’s rise, are set to drive the project forward.

To secure Alatau City’s success, the government plans to grant it special status under direct state supervision within days, followed by a new law defining its governance and financial structure. Tokayev emphasised that the project is not merely a showcase but a practical step toward positioning Kazakhstan as a leader in digital innovation, blending cutting-edge technology with modern urban living.

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China creates brain-inspired AI model

Chinese scientists have unveiled SpikingBrain1.0, the world’s first large-scale AI language model to replicate the human brain. The model reduces energy use and runs independently of Nvidia chips, departing from conventional AI architectures.

Developed by the Chinese Academy of Sciences, SpikingBrain1.0 uses spiking neural networks to activate only the required neurons for each task, rather than processing all information simultaneously.

Instead of evaluating every word in parallel, it focuses on the most recent and relevant context, enabling faster and more efficient processing. Researchers claim the model operates 25 to 100 times faster than traditional AI systems while keeping accuracy competitive.

A significant innovation is hardware independence. SpikingBrain1.0 runs on China’s MetaX chip platform, reducing reliance on Nvidia GPUs. It also requires less than 2% of the data typically needed for pre-training large language models, making it more sustainable and accessible.

SpikingBrain1.0 could power low-energy, real-time applications such as autonomous drones, wearable devices, and edge computing. The model highlights a shift toward biologically-inspired AI prioritising efficiency and adaptability over brute-force computation.

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OpenAI moves to for-profit with Microsoft deal

Microsoft and OpenAI have agreed to new non-binding terms that will allow OpenAI to restructure into a for-profit company, marking a significant shift in their long-standing partnership.

The agreement sets the stage for OpenAI to raise capital, pursue additional cloud partnerships, and eventually go public, while Microsoft retains access to its technology.

The previous deal gave Microsoft exclusive rights to sell OpenAI tools via Azure and made it the primary provider of compute power. OpenAI has since expanded its options, including a $300 billion cloud deal with Oracle and an agreement with Google, allowing it to develop its own data centre project, Stargate.

OpenAI aims to maintain its nonprofit arm, which will receive more than $100 billion from the projected $500 billion private market valuation.

Regulatory approval from the attorneys general of California and Delaware is required for the new structure, with OpenAI targeting completion by the end of the year to secure key funding.

Both companies continue to compete across AI products, from consumer chatbots to business tools, while Microsoft works on building its own AI models to reduce reliance on OpenAI technology.

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