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Alibaba tests new business model for Qwen open-source AI

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Alibaba plans to introduce revenue-sharing terms for some commercial users of its next Qwen open-weight AI model, Reuters reported, citing two people familiar with the company’s plans. The arrangement would require larger companies that generate revenue from offering the model as a service to reach a commercial agreement with Alibaba. The exact revenue-sharing rate has […]

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Alibaba, DeepSeek push China’s AI model race towards lower costs

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Alibaba has launched Qwen3.8-Max, its largest AI model to date, as DeepSeek’s latest V4-Flash model draws attention for inference pricing that is lower than several competing systems. Qwen3.8-Max has 2.4 trillion parameters and uses a mixture-of-experts architecture, which activates only part of the model for each request. Alibaba said around 95 billion parameters are active

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Google AI Overviews become more common in search

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Google’s AI-generated summaries appeared in 43% of US searches measured by Similarweb, up from 15% a year earlier, according to the market intelligence firm’s 2026 Generative AI Landscape report. AI Overviews display generated summaries within conventional Google results, while AI Mode provides a conversational interface for longer questions and follow-up prompts. Users can move from

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AMD to invest up to $5 billion in Anthropic under AI infrastructure deal

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AMD has agreed to invest up to $5 billion in Anthropic under an infrastructure agreement covering tens of billions of dollars’ worth of AI systems. Anthropic will deploy up to two gigawatts of capacity using AMD’s Instinct MI450-series accelerators, with deployment of the first gigawatt beginning in the first half of 2027. AMD’s investment will

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Chinese open-weight models are cheap. Washington is deciding what that costs.

ai, AI (Artificial Intelligence), AI in Action, AI Market Trends, AI policy, AI regulation, Artificial Intelligence, Chinese open-weight models, cloud infrastructure, Deep Dives, Enterprise AI, Governance, Regulation & Policy, Kimi K3, Moonshot AI, Open-Source & Democratised AI, open-source AI, OpenAI, US-China tech

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

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Nokia’s AI-RAN platform: a radio comeback that runs on NVIDIA

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Nokia’s AI-RAN platform arrived on July 15 with a claim worth examining: that it is the industry’s first. The vendor says the platform, built on its anyRAN software and NVIDIA’s Aerial system, will let operators pull far more capacity from the spectrum they already own, and it has framed the launch as one of the most significant

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Insilico Medicine advances AI drug for IPF to Phase III trials

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Insilico Medicine is advancing to Phase III human trials for testing a drug identified by AI targeting idiopathic pulmonary fibrosis (IPF). This progression supplies the computational drug discovery sector with empirical test cases, advancing an AI medicine past early safety evaluations into late-stage efficacy validation. IPF destroys respiratory capacity through severe lung tissue scarring. Patients

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Takeda signs US$600M AI drug discovery deal with Insilico

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Takeda has entered a strategic collaboration with Hong Kong-based Insilico Medicine to use AI in early-stage drug discovery across the Japanese pharmaceutical company’s therapeutic areas. The companies did not disclose which therapeutic areas or disease targets will be covered under the collaboration. The agreement gives Takeda access to Insilico’s Pharma.AI platform, which supports biological target

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Deploying retail AI to scale personalisation and customer insight

ai, AI (Artificial Intelligence), AI Business Strategy, AI Hardware & Chips, AI in Action, AI Market Trends, Analytics, Artificial Intelligence, automation, Computer vision, Data Engineering & MLOps, Deep Dives, edge computing, Features, infrastructure, Infrastructure & Hardware, Marketing AI, multimodal, Multimodal AI, Natural Language Processing (NLP), Open-Source & Democratised AI, Personalisation, physical ai, Reinforcement Learning, Retail, Retail & Logistics AI, Software, strategy, World of Work

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

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Top spy agencies say AI cyber threats will impact you within months. Here’s why

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The global surge in AI cyber threats is no longer a distant problem for corporate data centres, according to an urgent public warning from the world’s most powerful intelligence alliance. On June 22, 2026, the cybersecurity chiefs of the Five Eyes nations—comprising the US, UK, Canada, Australia, and New Zealand—issued a rare joint intelligence briefing stating that upcoming artificial

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