Artificial intelligence

Could AI win a Nobel Prize? Experts debate the possibility

AI is starting to make inroads into scientific discovery. In recent years, AI systems have analysed data, designed experiments, and even proposed hypotheses and behaviours once thought to be uniquely human.

Some researchers now argue that AI could compete with leading scientists, conceivably worthy of a Nobel Prize in a few decades. The ambition invites provocative questions: Can a machine be an author or laureate? What criteria would apply? Would human oversight remain essential?

Sceptics argue that AI lacks consciousness, intentionality or moral agency, all hallmarks of great scientific insight. They caution that the machine’s contributions are derivative, built on human data, models and frameworks. Others contend that denying AI recognition blocks a future where hybrid human-machine teams deliver breakthroughs.

Meanwhile, mechanisms for attributing credit are also under scrutiny. Would the institution or the engineers who built the AI deserve the credit, or the AI itself? The article notes existing examples: AIs have already co-authored papers and databases in genetics or materials science. However, instituting them as Nobel candidates demands shifting philosophical and institutional norms.

As AI systems achieve deeper autonomy, the debate over their role in science and whether they merit high honours will only intensify. The Nobel Prize, a symbolic instrument in the science ecosystem, may evolve to include nonhuman actors if the community permits it.

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Sanders warns AI could erase 100 million US jobs

Senator Bernie Sanders has warned that AI and automation could eliminate nearly 100 million US jobs within the next decade unless stronger worker protections are introduced.

The report, titled The Big Tech Oligarchs’ War Against Workers, claims that companies such as Amazon, Walmart, JPMorgan Chase, and UnitedHealth already use AI to reduce their workforces while rewarding executives with multimillion-dollar pay packages.

According to the findings, nearly 90% of US fast-food workers, two-thirds of accountants, and almost half of truck drivers could see their jobs replaced by automation. Sanders argues that technological progress should enhance people’s lives rather than displace them,

His proposals include introducing a 32-hour workweek without loss of pay, a ‘robot tax’ for companies that replace human labour, and giving workers a share of profits and board representation.

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Anthropic launches Bengaluru office to drive responsible AI in India

AI firm Anthropic, the company behind the Claude AI chatbot, is opening its first office in India, choosing Bengaluru as its base.

A move that follows OpenAI’s recent expansion into New Delhi, underlining India’s growing importance as a hub for AI development and adoption.

CEO Dario Amodei said India’s combination of vast technical talent and the government’s commitment to equitable AI progress makes it an ideal location.

The Bengaluru office will focus on developing AI solutions tailored to India’s needs in education, healthcare, and agriculture sectors.

Amodei is visiting India to strengthen ties with enterprises, nonprofits, and startups and promote responsible AI use that is aligned with India’s digital growth strategy.

Anthropic plans further expansion in the Indo-Pacific region, following its Tokyo launch, later in the year.

Chief Commercial Officer Paul Smith noted the rising demand among Indian companies for trustworthy, scalable AI systems. Anthropic’s Claude models are already accessible in India through its API, Amazon Bedrock, and Google Cloud Vertex AI.

The company serves more than 300,000 businesses worldwide, with nearly 80 percent of usage outside the US.

India has become the second-largest market for Claude, with developers using it for tasks such as mobile UI design and web app debugging.

Anthropic also enhances Claude’s multilingual capabilities in major Indic languages, including Hindi, Bengali, and Tamil, to support education and public sector projects.

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OpenAI unveils AgentKit for faster AI agent creation

OpenAI has launched AgentKit, a new suite of developer tools designed to simplify AI-powered agents’ creation, deployment, and optimisation. The platform unifies workflows that previously required multiple systems, offering a faster and more visual way to build intelligent applications.

AgentKit’s AI includes Agent Builder, Connector Registry, ChatKit, and advanced evaluation tools. Developers can now design multi-agent workflows on a visual canvas, manage data connections across workspaces, and integrate chat-based agents directly into apps and websites.

Early users such as Ramp and LY Corporation built working agents in just a few hours, cutting development cycles by up to 70%. Companies including Canva and HubSpot have used ChatKit to embed conversational support agents, transforming customer experience and developer engagement.

New evaluation features and reinforcement fine-tuning allow users to test, grade, and improve agents’ reasoning abilities. AgentKit is now available to developers and enterprises through OpenAI’s API and ChatGPT Enterprise, with a wider rollout expected later this year.

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Bulgaria eyes AI gigafactory partnership with IBM

Bulgaria is considering building an AI gigafactory in partnership with IBM and the European Commission, Prime Minister Rosen Zhelyazkov announced after meeting with IBM executives in Sofia. The project aims to attract large-scale high-tech investment and strengthen Europe’s AI infrastructure.

The proposed facility would feature over 100,000 advanced GPU chips and require up to 500 megawatts of power. The initial phase alone is expected to need around 70 megawatts, highlighting the scale of the planned operation.

Funding could come through a public-private partnership, with the European Commission covering up to 17 percent of capital costs and EU member states contributing additional support for this Bulgarian project.

IBM is considered a strategic technology partner, bringing expertise in cloud computing, cybersecurity, and AI systems. The first gigafactories across Europe are expected to begin operations between 2027 and 2028, aligning with the EU’s plan to mobilise €200 billion for AI development.

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AI maps over 1,300 mouse brain subregions with unprecedented precision

Researchers at UCSF and the Allen Institute have created one of the most detailed mouse brain maps. Their AI model, CellTransformer, identified over 1,300 brain regions and subregions, including previously uncharted areas. The findings were published in Nature Communications.

CellTransformer utilises spatial transcriptomics to define brain regions based on shared cellular patterns, rather than relying on expert annotation. Drawing city borders from building types reveals finer brain structures. This data-driven method provides unprecedented precision.

The model replicated known regions, such as the hippocampus, and revealed previously unknown subdivisions in the midbrain reticular nucleus. Researchers compared the leap from mapping continents to mapping states and cities. The tool provides a foundation for more targeted neuroscience studies.

Validation against the Allen Institute’s Common Coordinate Framework strongly aligned with expert-defined anatomy. The results gave researchers confidence in the biological relevance of the new subregions. Further studies will investigate their functions.

The model’s potential goes beyond neuroscience. Its methods can map other tissues, including cancers, by analysing large spatial transcriptomics datasets. However, this could support new medical research, helping uncover disease mechanisms and accelerate treatment development.

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New report finds IT leaders unprepared for evolving cyber threats

A new global survey by 11:11 Systems highlights growing concerns among IT leaders over cyber incident recovery. More than 800 senior IT professionals across North America, Europe, and the Asia Pacific report a rising strain from evolving threats, staffing gaps, and limited clean-room infrastructure.

Over 80% of respondents experienced at least one major cyberattack in the past year, with more than half facing multiple incidents. Nearly half see recovery planning complexity as their top challenge, while over 80% say their organisations are overconfident in their recovery capabilities.

The survey also reveals that 74% believe integrating AI could increase cyberattack vulnerability. Despite this, 96% plan to invest in cyber incident recovery within the next 12 months, underlining its growing importance in budget strategies.

The financial stakes are high. Over 80% of respondents reported spending at least six figures during just one hour of downtime, with the top 5% incurring losses of over one million dollars per hour. Yet 30% of businesses do not test their recovery plans annually, despite these risks.

11:11 Systems’ CTO Justin Giardina said organisations must adopt a proactive, AI-driven approach to recovery. He emphasised the importance of advanced platforms, secure clean rooms, and tailored expertise to enhance cyber resilience and expedite recovery after incidents.

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Scammers use AI to fake British boutiques

Fraudsters are using AI-generated images and back stories to pose as British family businesses, luring shoppers into buying cheap goods from Asia. Websites claiming to be long-standing local boutiques have been linked to warehouses in China and Hong Kong.

Among them is C’est La Vie, which presented itself as a Birmingham jeweller run by a couple called Eileen and Patrick. The supposed owners appeared in highly convincing AI-generated photos, while customers later discovered their purchases were shipped from China.

Victims described feeling cheated after receiving poor-quality jewellery and clothes that bore no resemblance to the advertised items. More than 500 complaints on Trustpilot accuse such companies of exploiting fabricated stories to appear authentic.

Consumer experts at Which? warn that AI tools now enable scammers to create fake brands at an unprecedented scale. The ASA has called on social media platforms to act, as many victims were targeted through Facebook ads.

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Employees embrace AI but face major training and trust gaps

SnapLogic has published new research highlighting how AI adoption reshapes daily work across industries while exposing trust, training, and leadership strategy gaps.

The study finds that 78% of employees already use AI in their roles, with half using autonomous AI agents. Workers interact with AI almost daily and save over three hours per week. However, 94% say they face barriers to practical use, with concerns over data privacy and security topping the list.

Based on a survey of 3,000 US, UK, and German employees, the research finds widespread but uneven AI support. Training is a significant gap, with only 63% receiving company-led education. Many rely on trial and error, and managers are more likely to be trained than non-managers.

Generational and hierarchical differences are also evident. Seventy percent of managers express strong confidence in AI, compared with 43% of non-managers. Half believe they will be managed by AI agents rather than people in the future, and many expect to be handled by AI themselves.

SnapLogic’s CTO, Jeremiah Stone, says the agile enterprise is about easing workloads and sparking creativity, not replacing people. The findings underscore the need for companies to align strategy, training, and trust to realise AI’s potential in the workplace fully.

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AI tools reshape how Gen Z approaches buying cars

Gen Z drivers are increasingly turning to AI tools to help them decide which car to buy. A new Motor Ombudsman survey of 1,100 UK drivers finds that over one in four Gen Z drivers would rely on AI guidance when purchasing a vehicle, compared with 12% of Gen X drivers and just 6% of Baby Boomers.

Younger drivers view AI as a neutral and judgment-free resource. Nearly two-thirds say it helps them make better decisions, while over half appreciate the ability to ask unlimited questions. Many see AI as a fast and convenient way to access information during car-buying.

Three-quarters of Gen Z respondents believe AI could help them estimate price ranges, while 60% think it would improve their haggling skills. Around four in ten say it would help them assess affordability and running costs, a sentiment less common among Millennials and Gen Xers.

Confidence levels also vary across generations. About 86% of Gen Z and 87% of Millennials say they would feel more assured if they used AI before making a purchase, compared with 39% of Gen Xers and 40% of Boomers, many of whom remain indifferent to its influence.

Almost half of drivers say they would take AI-generated information at face value. Gen Z is the most trusting, while older generations remain cautious. The Motor Ombudsman urges buyers to treat AI as a complement to trusted research and retailer checks.

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