ai

New Airbyte connectors support AI and data privacy

San Francisco-based data startup Airbyte has unveiled a new set of enterprise tools aimed at helping companies move and manage data more securely, especially as AI becomes more central to operations. The updates, announced Thursday, include new connectors for apps such as NetSuite, SAP, and ServiceNow, as well as support for extracting unstructured data from platforms like Google Drive and SharePoint.

A key highlight of the release is compatibility with Apache Iceberg, an open-source format that enables businesses to centralise data into a single, AI-compatible “lakehouse.” This allows companies to better control how and where their data flows while preserving the flexibility needed for high-performance analytics and machine learning.

Airbyte co-founder and CEO Michel Tricot stressed the importance of data sovereignty in an AI-driven era. He noted that while AI tools can be powerful, giving away sensitive internal data, like employee compensation or strategic business metrics, to external services is a risk many companies are no longer willing to take. Airbyte’s approach ensures that only the enterprise sees and manages its data pipelines.

Founded in 2020, Airbyte now serves over 7,000 enterprise clients, including names like Invesco and Calendly, and has secured more than $181 million in funding. As businesses continue to prioritise secure, scalable infrastructure for AI, Airbyte’s offerings are positioning it as a go-to partner for data portability without compromise.

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Apple accused of misleading AI advertising

Apple is facing a class-action lawsuit in the United States over delays in delivering its much-promoted Apple Intelligence features.

The legal action, filed in a US based San Jose federal court, claims the company misled customers by advertising advanced AI tools that have yet to materialise on supported devices.

The complaint argues that buyers of new iPhones and other Apple products were promised ‘transformative’ AI capabilities at launch, only to find these features were either severely limited or completely absent.

According to the plaintiffs, Apple’s marketing created a “reasonable consumer expectation” that was ultimately not met.

This legal challenge adds to mounting pressure on the company, which has struggled to roll out its next-generation AI tools.

A recent Bloomberg report suggested internal tensions, revealing that CEO Tim Cook has reportedly lost confidence in AI chief John Giannandrea’s ability to deliver on the company’s ambitions.

The case reflects growing scrutiny of tech firms’ promises around AI, especially as consumer trust becomes more closely tied to the reality behind flashy announcements.

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Google adds Mind Maps to NotebookLM

Google has unveiled a new feature called Mind Maps for its AI-powered research tool, NotebookLM. Mind maps are visual diagrams that help users understand complex subjects by displaying ideas and their connections.

An addition like this follows the recent release of Audio Overviews, which provide AI-generated podcasts summarising key points from documents, articles, and videos.

NotebookLM, which works in both free and paid versions, assists users in summarising content and offering interactive conversations with AI to deepen understanding.

The new Mind Maps feature lets users generate and explore visual connections between ideas. Once created, users can zoom, expand or collapse branches, and click on nodes for detailed information on specific topics.

The feature is particularly useful for students or anyone who needs to absorb a lot of information quickly. With the combined power of Mind Maps and Audio Overviews, NotebookLM offers a multi-faceted approach to learning, making it easier to navigate and retain key insights.

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Trump’s crypto adviser meets UAE’s national security chief for tech talks

A top UAE official, Sheikh Tahnoon Bin Zayed Al Nahyan, met with White House crypto and AI czar David Sacks to discuss digital currencies, artificial intelligence, and potential investments.

Tahnoon, the UAE’s national security adviser, revealed on social media that their discussions focused on AI’s impact and the growing role of digital currencies in the global economy.

The meeting was part of a broader engagement between UAE and US officials. Tahnoon attended a dinner with former President Donald Trump and senior advisers, where they explored ways to deepen economic and technological cooperation.

Additional talks included meetings with Commerce Secretary Howard Lutnick and Treasury Secretary Scott Bessent to discuss trade and investment, as well as a video call with White House cost-cutting czar Elon Musk.

Reports suggest that Tahnoon met leading tech executives, including Microsoft CEO Satya Nadella and Nvidia CEO Jensen Huang, to discuss AI and semiconductor access.

The UAE reportedly seeks to expand its technology infrastructure in the US, particularly following US export restrictions on advanced computer chips.

Through his investment firm MGX, Tahnoon is backing a $7 billion investment in a private-led project called “Stargate,” aiming to develop AI data centres across the US.

His financial empire, valued at $1.5 trillion, includes significant stakes in sovereign wealth funds, banking, and AI development, reflecting the UAE’s growing influence in global tech and finance.

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Abu Dhabi sets goal to become first AI government

The Abu Dhabi Government has signed a landmark agreement with tech giant Microsoft and Core42, a subsidiary of AI powerhouse G42, to fast-track the adoption of AI across its public services.

The partnership will focus on merging Microsoft’s advanced cloud technology with G42’s AI capabilities to drive innovation and efficiency.

As part of its digital transformation strategy, Abu Dhabi aims to process more than 11 million digital interactions daily, making public services more innovative and responsive. Officials say this collaboration marks a pivotal step toward redefining how the government engages with citizens through technology.

With a dedicated budget of around $3.54 billion (Dh13 billion), Abu Dhabi has set its sights on becoming the world’s first fully AI-powered government by 2027. The initiative signals the emirate’s ambition to lead globally in AI-driven governance and digital innovation.

Microsoft CEO Satya Nadella called the agreement a new benchmark for public sector AI use, emphasising that Abu Dhabi is setting the pace for governments worldwide in embracing transformative technologies.

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ChatGPT wrongly accuses man of murder

A Norwegian man has lodged a complaint against OpenAI after ChatGPT falsely claimed he had murdered his two sons and was serving a 21-year prison sentence.

Arve Hjalmar Holmen, who has never been accused of any crime, says the chatbot’s response was deeply damaging, leading him to seek action from the Norwegian Data Protection Authority.

Digital rights group Noyb, representing Holmen, argues the incident violates European data protection laws regarding the accuracy of personal data.

The error highlights a growing concern over AI ‘hallucinations,’ where chatbots generate false information and present it as fact.

Holmen received the incorrect response when searching for his own name, with ChatGPT fabricating a detailed and defamatory account of a crime that never occurred. Although the chatbot carries a disclaimer about potential inaccuracies,

Noyb insists this is not enough, arguing that spreading false information cannot be justified by a simple warning label.

AI-generated hallucinations have plagued multiple platforms, including Apple and Google, with some errors being bizarre but others causing real harm.

Experts remain uncertain about the underlying causes of these inaccuracies in large language models, making them a key focus of ongoing research.

While OpenAI has since updated ChatGPT’s model to incorporate current news sources, the case raises questions about accountability and the transparency of AI-generated content.

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Semiconductor design set for AI revolution with new Synopsys tool

Synopsys has introduced AgentEngineer, an AI-powered technology designed to streamline semiconductor design by automating complex engineering tasks.

The company, which provides software for chip design, aims to help engineers cope with increasing demands as semiconductor firms like Nvidia build advanced AI server systems with thousands of chips.

CEO Sassine Ghazi highlighted the growing pressure on engineers to manage complexity, meet tight deadlines, and control costs.

The AI-driven tool will initially assist human engineers by handling specific tasks, such as verifying circuit designs. Over time, it is expected to coordinate the development of intricate systems comprising multiple chips and components, ensuring efficient project delivery.

The company’s technology and development lead, Shankar Krishnamoorthy, emphasised that AI will be crucial in expanding research and development capacity without requiring larger engineering teams.

With the pace of AI computing accelerating, semiconductor companies face mounting challenges in chip design. Synopsys believes AI will play a critical role in overcoming these difficulties, making the process faster and more efficient.

The new technology is part of a broader industry shift toward AI-driven automation in engineering.

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Ampere Computing joins SoftBank in AI-focused expansion

SoftBank has announced a $6.5 billion acquisition of US chip startup Ampere Computing, marking a major step in its investment in AI infrastructure.

The deal, paid entirely in cash, reflects founder Masayoshi Son’s growing focus on AI as a transformative technology. Ampere produces data centre CPUs based on an architecture from SoftBank’s majority-owned Arm Holdings, with customers including Oracle.

The acquisition follows a series of multi-billion-dollar AI investments by SoftBank, including funding for OpenAI, the Stargate AI data centre project, and Cristal, an AI services joint venture in Japan.

Ampere, founded in 2018 by former Intel president Renee James, developed its own custom CPU cores—an approach typically seen in larger firms like Apple and Qualcomm.

Under SoftBank’s ownership, the company will operate alongside Arm, strengthening SoftBank’s growing collection of AI-focused chip technology firms.

Masayoshi Son described the move as part of his vision for ‘artificial super intelligence,’ highlighting the need for advanced computing power.

While SoftBank has seen mixed results in past investments, such as its troubled backing of WeWork, the company continues to place high-stakes bets on emerging technologies.

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AI-powered robot dog mimics human learning process

Swedish AI startup IntuiCell has introduced Luna, a robot dog with a functional digital nervous system that enables it to learn and adapt like humans and animals.

Unlike traditional AI models that rely on vast datasets and pre-training, Luna learns through real-world interactions.

The company has even hired a professional dog trainer to teach Luna how to walk, mimicking the way neurons process information in biological systems.

CEO Viktor Luthman described Luna as a breakthrough in AI, allowing machines to learn without requiring high-powered data centres or offline simulations.

The technology, he says, could eventually lead to advanced autonomous robots capable of operating in unpredictable environments such as space and deep-sea exploration.

Future iterations could assist in disaster response or even contribute to constructing habitats on Mars.

Founded as a spin-off from Lund University in 2020, IntuiCell has received funding from Sweden’s Navigare Ventures, Norway’s SNÖ Ventures, and the European Union.

The company believes that Luna’s capabilities could mark a significant step forward in the development of humanoid and autonomous robots, with applications far beyond current AI-powered machines.

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Nvidia CEO predicts humanoid robots will revolutionise manufacturing

Nvidia CEO Jensen Huang believes that humanoid robots will soon be widely used in manufacturing, possibly within the next five years.

Speaking at the company’s annual developer conference, Huang unveiled new software tools designed to improve robots’ ability to navigate the world.

Huang stated that the manufacturing industry would likely lead the way in adopting humanoid robots, due to its controlled environment and well-defined tasks.

He emphasised the economic value, with robots potentially costing around $100,000 to rent, making them a good investment.

The CEO’s predictions highlight the growing role of AI in automation, with Huang confident that humanoid robots will soon be an integral part of factory operations.

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