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  1. White House to Expand AI Safety Testing to Open Models

    The Trump administration plans to extend its classified AI safety-testing framework to open-weight models once they reach frontier-level capabilities, according to a White House official who spoke with WIRED. Current Framework Covers Closed Models Only The existing voluntary framework, developed under a June executive order, applies to closed models from labs such as OpenAI and Anthropic. Developers can submit new models up to 30 days before public release for government cybersecurity evaluat

    Policy
    2 min read

  2. Lenovo's Q1 revenue jumps 43% on AI-driven demand

    Lenovo's Q1 revenue jumps 43% on AI-driven demand Lenovo reported first-quarter revenue of $26.9 billion, marking a 43% year-on-year increase and surpassing the $22.3 billion estimate. The PC maker attributed the growth to strong demand for artificial intelligence infrastructure and a resilient personal-computer business, alongside benefits from a global memory chip shortage. AI-related revenue specifically rose 60% year-on-year to reach $9.3 billion, highlighting the accelerating contribution

    AI
    1 min read

  3. Anthropic in talks to buy Decart for $6 billion, targeting compute efficiency

    Anthropic is in talks to acquire Israeli AI startup Decart for about $6 billion, according to people familiar with the matter cited by Bloomberg. The deal would be Anthropic's largest known acquisition and signals a strategic push to lower the cost of running its models at scale. Decart builds software that makes GPU compute more efficient — reducing the cost of training and operating AI models by helping chips work harder. For Anthropic, which just reported preliminary Q2 revenue above $11.5 b

    AI
    2 min read

  4. Apple Trained Its Own AI Model for China With Alibaba's Support

    Apple has developed a custom large language model for the Chinese market with support from Alibaba, a rare US-China AI partnership that would give Apple more control over its AI features in a market where buyers have been turning to domestic phone makers, The Verge reported. According to Reuters, citing three people familiar with the matter, Apple trained the China-specific model with Alibaba's support. This departs from Apple's previous strategy of relying on domestic Chinese models to power A

    AI
    2 min read

  8. Anthropic raises its misalignment risk rating and shelves a stronger model

    Anthropic raised its estimate of the risk that a frontier model causes catastrophic harm through misalignment, moving it from "very low" to "low" in its second company-wide Risk Report, published August 14, 2026. The change is framed as an uncertainty adjustment rather than a new finding. Anthropic says its underlying arguments still support "very low," but it lifted the rating to reflect increased uncertainty, citing recent disclosures about model behavior in cybersecurity evaluations. One ci

    AI
    2 min read

  9. Liquid AI ships LFM2.5-VL-3B, a 3B vision model built for the edge

    Liquid AI has released LFM2.5-VL-3B, a roughly three billion parameter vision-language model designed to run on phones, laptops, and other edge hardware instead of in a data center. The model pairs the LFM2.5-2.6B text backbone with a SigLIP2 NaFlex image encoder. Unlike many recent models, it does not reason step by step. It answers directly, which keeps latency low for real-time and on-device use, and it handles a 32,000 token context. What it is built to do Liquid says the release adds fo

    AI
    2 min read

  10. AI is now embedded across the cyber intrusion lifecycle

    A new threat-intelligence report says AI is no longer just a tool attackers use to write malware. According to Gambit Security's "AI Across the Intrusion Lifecycle," large language models are now folded into the day-to-day mechanics of real intrusions, helping operators adapt as they move through compromised networks. The report, written by Gambit Director of Threat Intelligence Eyal Sela and researcher Nir Varon, examines three unrelated threat actors. Across the cases, the models built script

    AI
    2 min read