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Mark Zuckerberg has published a WSJ op-ed that argues superintelligence must reach individuals, not just a handful of institutions. The Meta chief published the piece as a statement of company philosophy rather than a product announcement. It contains no release dates, no benchmark figures, no named models. What it does contain is an argument that […]
Zuckerberg details Meta’s personal AI superintelligence strategy Read More »
OpenAI has released a new field report tracking eight scientific computing projects where coding agents cut runtimes. The report documents projects that used Codex on its own in five cases and a combination of Codex and Anthropic’s Claude Code in three others. Worth flagging upfront: this is a vendor publishing a survey of its own
OpenAI report links coding agents to faster science software builds Read More »
Two dozen companies and organisations signed an open letter urging US policymakers to protect open-weight AI models. The letter, published today (PDF), carries signatures from a list that spans direct commercial rivals and organisations with little obvious overlap in business model: Meta, Microsoft, Nvidia, IBM, Dell Technologies, CrowdStrike, Palantir, ServiceNow, Hugging Face, Perplexity, Mistral, Andreessen
Meta, Microsoft, Nvidia, IBM, and others back open-weight AI Read More »
Enterprises evaluating Chinese open-weight models this month face a question that has nothing to do with benchmarks: whether using one will still be straightforward in a year. Moonshot AI’s Kimi K3 arrived on July 16 as the largest open-weight model yet released, and within days it had reopened a policy argument in Washington that had
Chinese open-weight models are cheap. Washington is deciding what that costs. Read More »
Moonshot AI’s Kimi K3 open-weight model has been read almost entirely through its parameter count since it launchedon July 16. At 2.8 trillion parameters, it is the largest open-weight model released to date. Model sizes are usually grouped into rough brackets, and 2.8 trillion rounds into what the industry calls the 3T class. A tier no
Kimi K3 open-weight model: China’s biggest AI is a bet on memory, not compute Read More »
Anthropic Claude Science now integrates the NVIDIA BioNeMo Agent Toolkit to accelerate computational life sciences research. Anthropic has launched the public beta of Claude Science, an AI workbench built for scientific research. The platform enables scientists to converse directly with digital agents using natural language to execute end-to-end research workflows. This system connects natively to
NVIDIA BioNeMo accelerates Anthropic Claude Science Read More »
Optimising retail AI infrastructure drives the successful deployment of personalisation systems and real-time customer insight. Leaders are replacing static customer interaction patterns with data pipelines capable of modifying the user environment during a live session. Static layouts and broad segmentation rules fail to satisfy modern conversion targets. Deployments demonstrate that traditional demographic categorisation generates insufficient
Deploying retail AI to scale personalisation and customer insight Read More »
Google Pay is overhauling its payment infrastructure for an impending wave of transactions from AI agents. The latest updates introduce the Universal Commerce Protocol and a new server architecture, positioning Google Pay as a central clearinghouse for purchases executed by autonomous agents rather than human users. AI agents – designed to perform tasks like booking
Google Pay preps for AI agents with Universal Commerce Protocol Read More »
To regulate software delivery costs and SDLC governance, IBM is launching Bob, an AI platform built to anchor enterprise engineering. Accumulated technical debt, hybrid cloud structures, and rigid compliance requirements clash with the raw speed of coding assistants. Without boundaries, they generate unmanaged liabilities rather than functional progress. Dinesh Nirmal, SVP at IBM Software, explained:
IBM launches AI platform Bob to regulate SDLC costs Read More »
At the Google Cloud Next conference, Google and NVIDIA outlined their hardware roadmap designed to address the cost of AI inference at scale. The companies detailed the new A5X bare-metal instances, which run on NVIDIA Vera Rubin NVL72 rack-scale systems. Through hardware and software codesign, this architecture aims to deliver up to ten times lower
NVIDIA and Google infrastructure cuts AI inference costs Read More »
