Future of work

Meta pursues two AI paths with internal tension

Meta’s AI strategy is facing internal friction, with CEO Mark Zuckerberg and Chief AI Scientist Yann LeCun taking sharply different paths toward the company’s future.

While Zuckerberg is doubling down on superintelligence, even launching a new division called Meta Superintelligence Labs, LeCun argues that even ‘cat-level’ intelligence remains a distant goal.

The new lab, led by Scale AI founder Alexandr Wang, marks Zuckerberg’s ambition to accelerate progress in large language models — a move triggered by disappointment in Meta’s recent Llama performance.

Reports suggest the models were tested with customised benchmarks to appear more capable than they were. That prompted frustration at the top, especially after Chinese firm DeepSeek built more advanced tools using Meta’s open-source Llama.

LeCun’s long-standing advocacy for open-source AI now appears at odds with the company’s shifting priorities. While he promotes openness for diversity and democratic access, Zuckerberg’s recent memo did not mention open-source principles.

Internally, executives have even discussed backing away from Llama and turning to closed models like those from OpenAI or Anthropic instead.

Meta is pursuing both visions — supporting LeCun’s research arm, FAIR, and investing in a new, more centralised superintelligence effort. The company has offered massive compensation packages to OpenAI researchers, with some reportedly offered up to $100 million.

Whether Meta continues balancing both philosophies or chooses one outright could determine the direction of its AI legacy.

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Lloyds Bank to test neurosymbolic AI for better customer support

Lloyds has partnered with UnlikelyAI to test neurosymbolic AI across its operations to enhance customer service and reinforce its commitment to responsible AI. The trial will occur in Lloyd’s Innovation Sandbox and focus on ensuring accurate, consistent and explainable outputs.

UnlikelyAI combines neural networks with logic-based symbolic reasoning to produce AI that avoids hallucinations and supports transparent decision-making. The firm was founded by William Tunstall-Pedoe, the creator of voice assistant Evi, which helped build Amazon’s Alexa.

Lloyds hopes the technology will drive more personalised customer support and improve internal efficiency. The bank recently migrated its AI platforms to Google Cloud, further strengthening its digital infrastructure.

The announcement follows increased scrutiny from MPs over banks’ reliance on AI and tech vulnerabilities. Lloyds CEO Charlie Nunn believes new large language models could significantly improve customer interaction and personalised advice.

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Artists explore meaning and memory at Antwerp Art Weekend

At Antwerp Art Weekend, two standout exhibitions by Eddie Peake and the Amsterdam-based collective Metahaven explored how meaning shifts or falls apart in an age shaped by AI, identity, and emotional complexity.

Metahaven’s film follows a character interacting with an AI assistant while exploring poetry by Eugene Ostashevsky. It contrasts AI’s predictive language models with the unpredictable nature of poetry, using visual metaphors to expose how AI mimics language without fully grasping it.

Meanwhile, Peake’s immersive installation at TICK TACK turned the Belgian gallery into a psychological labyrinth, combining architectural intrusion, raw paintings, and a haunting audio piece. His work considers the weight of identity, sexuality, and memory, moving from aggression to vulnerability.

Despite their differences, both projects provoke questions about how language, identity, and emotion are formed and fractured. Each invites viewers to reconsider the boundaries of expression in a world increasingly influenced by AI and abstraction.

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Alibaba Cloud opens AI centre in Singapore to drive regional innovation

Alibaba Cloud has launched its AI Global Competency Centre in Singapore to drive innovation and support growing regional demand for cloud and AI technologies. The centre aims to help more than 5,000 businesses and 100,000 developers access advanced tools.

The facility includes an innovation lab offering curated datasets, token credits, and tailored support for real-world AI solutions. A strong focus will be placed on building a robust talent pipeline, with plans to train 100,000 AI professionals each year through partnerships with over 120 universities.

Alibaba Cloud is positioning Singapore as a key digital hub, reinforcing its role in the Asia-Pacific AI ecosystem. The company also announced its third data centre in Malaysia and a second one in the Philippines, scheduled for October, to meet surging demand in Southeast Asia.

The launch marks Alibaba Cloud’s continued global expansion. Executives have underlined their ambition to make Singapore a global AI and cloud innovation leader through strategic partnerships and infrastructure development.

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Grammarly invests in email with Superhuman acquisition

Grammarly announced on Tuesday that it has acquired email client Superhuman to expand its AI capabilities within its productivity suite.

Financial details of the deal were not disclosed by either company. Superhuman, founded by Rahul Vohra, Vivek Sodera and Conrad Irwin, has raised over $114 million from investors such as a16z and Tiger Global, with a last valuation of $825 million.

Grammarly CEO Shishir Mehrotra said the acquisition will enable the company to bring enhanced AI collaboration to millions more professionals, adding that email is not just another app but a crucial platform where users spend significant time.

Superhuman’s CEO Rahul Vohra and his team are joining Grammarly, promising to invest further in improving the Superhuman experience and building AI agents that collaborate across everyday communication tools.

Recently, Superhuman introduced AI-powered features like scheduling, replies and email categorisation. Grammarly aims to leverage the technology to build smarter AI agents for email, which remains a top use case for its customers.

The move follows Grammarly’s acquisition of productivity software Coda last year and the promotion of Shishir Mehrotra to CEO.

In May, Grammarly secured $1 billion from General Catalyst through a non-dilutive investment, repaid by a capped percentage of revenue generated using the funds instead of equity.

The Superhuman deal further signals Grammarly’s commitment to integrating AI deeply into professional communication.

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Why AI won’t replace empathy at work

AI is increasingly being used to improve how organisations measure and support employee performance and well-being.

According to Dr Serena Huang, founder of Data with Serena and author of The Inclusion Equation, AI provides insights that go far beyond traditional annual reviews or turnover statistics.

AI tools can detect early signs of burnout, identify high-potential staff, and even flag overly controlling management styles. More importantly, they offer the potential to personalise development pathways based on employee needs and aspirations.

Huang emphasises, however, that ethical use is vital. Transparency and privacy must remain central to ensure AI empowers rather than surveils workers. Far from making human skills obsolete, Huang argues that AI increases their value.

With machines handling routine analysis, people are free to focus on complex challenges and relationship-building—critical skills in sales, leadership, and team dynamics. AI can assist, but it is emotional intelligence and empathy that truly drive results.

To ensure data-driven efforts align with business goals, Huang urges companies to ask better questions. Understanding what challenges matter to stakeholders helps ensure that any AI deployment addresses real-world needs. Regular check-ins and progress reviews help maintain alignment.

Rather than fear AI as a job threat, Huang encourages individuals to embrace it as a tool for growth. Staying curious and continually learning can ensure workers remain relevant in an evolving market.

She also highlights the strategic advantage of prioritising employee well-being. Companies that invest in mental health, work-life balance, and inclusion enjoy higher productivity and retention.

With younger workers placing a premium on wellness and values, businesses that foster a caring culture will attract top talent and stay competitive. Ultimately, Huang sees AI not as a replacement for people, but as a catalyst for more human-centric, data-informed workplaces.

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UK urged to prepare for agentic AI in government

Agentic AI, a new generation of AI that goes beyond automation to deliver full task orchestration, could change how government operates. Sharon Moore, CTO Public Sector UK at IBM, argues the UK Government must adopt this technology to drive operational efficiency and better public services.

Departments using AI agents have already recorded significant savings, such as 3,300 hours saved in HR tasks by East and North Hertfordshire NHS Trust and 800 hours monthly by a New Jersey agency. IBM itself has cut development costs by billions, showcasing the potential for large-scale productivity gains.

Agentic systems integrate multiple AI models and tools, solving complex problems with minimal human intervention. Unlike traditional chatbots, these systems handle end-to-end tasks and adapt across use cases, from citizen services to legacy software modernisation.

To implement these systems safely, the UK must address risks like data leaks, hallucinations, and compliance failures. Moore emphasises that future governance must shift from overseeing individual models to managing entire AI systems, built on transparency, security, and performance oversight.

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Springer machine learning book faces fake citation scandal

A Springer Nature book on machine learning has come under scrutiny after researchers discovered that many of its citations were fabricated or erroneous.

A review of 18 citations in Mastering Machine Learning: From Basics to Advanced revealed that two-thirds either referenced nonexistent papers or misattributed authorship and publication sources.

Several academics whose names were included in the book confirmed they did not write the cited material, while others noted inaccuracies in where their actual work was supposedly published. One researcher was alerted by Google Scholar to multiple fake citations under his name.

Govindakumar Madhavan, the author, has not confirmed whether AI tools were used in producing the content, though his book discusses ethical concerns around AI-generated text.

Springer Nature has acknowledged the issue and is investigating whether the book breached its AI use policies, which require authors to declare AI involvement beyond basic editing.

The incident has reignited concerns about publishers’ quality control, with critics pointing to the increasing misuse of large language models in academic texts. As AI tools become more advanced, ensuring the integrity of published research remains a growing challenge for both authors and editors.

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Student builds AI app to help farmers tackle crop issues

A student is developing an AI-powered app designed to help farmers detect and address crop problems. Soj Gamayon, a communications technology management student at Ateneo de Manila University, was inspired by his family’s farming struggles and his experiences abroad to build AgriConnect PH.

The app uses smart sensors to monitor conditions such as water levels, moisture, and pests, then sends the data to the cloud where it is analysed by AI. Farmers receive real-time alerts with a colour-coded system indicating the severity of risks, helping them respond before crops are damaged.

Gamayon aims to move farmers from reactive responses to proactive management. With updates available at least twice a day and instant alerts for urgent threats, the system offers timely intervention to reduce losses.

Currently supporting cereal crops like rice and corn, the app is set to expand to vegetables and livestock. While the technology is still in development, Gamayon believes AI can revolutionise agriculture and provide Filipino farmers with better tools for resilience.

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Gemini AI suite expands to help teachers plan and students learn

Google has unveiled a major expansion of its Gemini AI tools tailored for classroom use, launching over 30 features to support teachers and students. These updates include personalised AI-powered lesson planning, content generation, and interactive study guides.

Teachers can now create custom AI tutors, known as ‘Gems’, to assist students with specific academic needs using their own teaching materials. Google’s AI reading assistant is also gaining real-time support features through the Read Along tool in Classroom, enhancing literacy development for younger users.

Students and teachers will benefit from wider access to Google Vids, the company’s video creation app, enabling them to create instructional content and complete multimedia assignments.

Additional features aim to monitor student progress, manage AI permissions, improve data security, and streamline classroom content delivery using new Class tools.

By placing AI directly into the hands of educators, Google aims to offer more engaging and responsive learning, while keeping its tools aligned with classroom goals and policies. The rollout continues Google’s bid to take the lead in the evolving AI-driven edtech space.

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