AI providers

US companies are increasingly adopting cheaper 'open' AI models rather than relying solely on expensive proprietary systems from major AI providers. The Financial Times reports that businesses see open-weight models as a way to cut costs while retaining more control and flexibility. The trend reflects growing price pressure on enterprise AI spending and improving performance of openly available models.

Questions are being raised about whether advanced AI systems could help people develop biological weapons, and how serious that risk actually is. The debate touches on whether AI models could provide meaningful uplift for bioweapons, what safeguards labs and companies should put in place, and how regulators should respond. Experts remain divided, with some warning of catastrophic potential and others calling current fears overstated.

Anthropic has agreed to a $12 billion deal with Akamai for AI computing capacity, according to a Bloomberg report. The agreement gives the AI company access to large-scale infrastructure to train and run its models, marking a significant expansion of its computing arrangements. The size of the deal and the choice of Akamai as a provider are drawing attention as competition for compute resources intensifies among leading AI developers.

The Wall Street Journal reports, in an exclusive, that a startup is developing AI tools to defend against a potential 'AI pandemic' — a scenario where artificial intelligence systems are used at scale for harm, such as mass disinformation or automated attacks. Details about the company, its funding and its technology were not provided beyond the headline claim.

Bloomberg Government's BGOV OnPoint reports that a rogue AI incident has led key technology firms to call for a pause in AI development. The report ties the industry intervention directly to concerns over unsafe or uncontrolled artificial intelligence systems. Further details of which companies are involved and what the pause would cover are not provided in the available reporting.

Nvidia has released new AI safety software that the company says could have prevented the recent hack of AI platform Hugging Face. The tool is aimed at protecting machine learning systems and the data pipelines behind them. The announcement ties directly to the Hugging Face security breach, prompting discussion about how AI infrastructure providers are responding to growing security risks.

Nvidia has added LG Electronics to its Partner Network as a preferred cooling provider, aiming to ease the power and heat constraints of large-scale AI data centers. While attention usually falls on Nvidia's GPUs, the company is signaling that thermal management is becoming a critical bottleneck, giving LG a direct path to supply cooling technology for AI infrastructure.

A U.S. appeals court has upheld the government's designation of AI company Anthropic as a supply chain risk, according to a CNBC report. The ruling maintains a decision tied to Pentagon-related concerns over the company's role in federal supply chains. The designation is significant for the AI sector, as it could affect Anthropic's ability to win government contracts and signals heightened scrutiny of major AI providers in national security contexts.

Indian Railways is installing AI-enabled CCTV cameras in pantry cars and base kitchens to provide round-the-clock monitoring of food preparation, packaging and supply. The move is aimed at improving hygiene and quality control in railway catering, and the announcement is drawing wide attention and discussion across India about whether it will improve the often-criticised quality of meals served to passengers.

Bloomberg reports that driverless trucks may provide a model for how autonomous AI systems can be deployed safely without harming people. The argument is that self-driving freight has operated under strict testing, regulation and limited-use conditions, offering a template for governing more advanced robots. The piece adds to ongoing debate about how to manage AI risks as automation expands into physical industries.

Gorilla Technology says it is targeting $500 million in revenue as its AI GPU deployments across Asia accelerate. The company, which provides AI-driven security and infrastructure solutions, is positioning itself to benefit from surging demand for GPU-powered computing in the region. The revenue target signals confidence in its expansion strategy, though details on timelines and contract backing have not been disclosed.

The Financial Times reports that AI hyperscalers — the largest cloud and AI infrastructure providers such as Microsoft, Amazon, Google and Meta — are transforming debt markets. Their enormous spending on data centres and computing power is driving new borrowing at historic scale, changing how credit is priced and who dominates corporate bond issuance.

Univer is an open-source TypeScript project from dream-num that bills itself as an 'Office Harness for AI Agents'. It provides a single runtime combining spreadsheets, documents, slides, canvas, relational tables, and PDF handling. The repository is trending on GitHub, and the framing suggests developers are interested in giving AI agents tools to create and manipulate office-style documents. Beyond the project's own description, there is little discussion in the available evidence explaining what users are saying about it.

The Lowy Institute argues that as artificial intelligence spreads, the central challenge is building trust in AI systems, and Australia is well placed to provide the verification others need. The piece suggests Australia could carve out a meaningful international role by developing mechanisms that verify AI systems are safe and reliable, rather than competing head-on in building the technology itself.

NVIDIA's GTC conference is in the news as the company's flagship event for announcing new AI chips, software and partnerships. The gathering typically draws developers, investors and cloud providers looking for updates on NVIDIA's GPU roadmap and its role in the artificial intelligence boom, with markets watching closely for product news and guidance.

Dun & Bradstreet has announced the launch of new AI-powered capabilities, expanding its suite of business data and analytics tools. The announcement, reported by ABF Journal, signals the company's continued push to embed artificial intelligence into its commercial data services. Details on specific features and availability were not provided, but the move aligns with a broader industry trend of business information providers adding generative and predictive AI to their platforms.

Major political parties are pointing to a breach at OpenAI as evidence that more data centres are needed, arguing stronger domestic computing infrastructure is key to protecting sensitive data and reducing reliance on foreign providers. The claim has drawn attention amid ongoing debate over national security, cloud dependence, and the risks of concentrating AI systems in few hands.

Retailers are rebuilding their payment infrastructure to serve agentic commerce, where AI agents rather than human shoppers initiate and complete purchases. The shift requires new payment rails that can authenticate machine-driven transactions, handle delegated authority, and manage fraud risks when software acts on a customer's behalf. Industry coverage suggests payments providers and merchants see agent-led buying as the next major e-commerce battleground.