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Models

Modern CISOs shift focus to enable strategic risk and accelerate AI adoption

Security leadership is moving away from a traditional gatekeeper role to become an active enabler of business risk and innovation. This transition focuses on guiding the safe integration of artificial intelligence while fostering a culture of responsible experimentation across the enterprise.

Why it matters

For enterprise teams, this shift means security is no longer a bottleneck but a strategic partner in production AI. It allows developers to build and scale generative models with clearer compliance frameworks and reduced friction during the deployment phase.

Key points

  • Security leaders are adopting a proactive stance to support rapid technological change.
  • The role now involves balancing data protection with the requirement for competitive AI deployment.
  • Collaboration between security and AI development teams is becoming a core organisational necessity.

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World Labs launches Atlas to move AI from language to spatial world models

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Models

Tech coalition urges US government to protect open-weight AI models

A coalition of major technology firms has petitioned the US government to safeguard the development of open-weight artificial intelligence models. The group argues that downloadable weights are essential for maintaining transparency and competition, ensuring that innovation is not restricted to a handful of proprietary providers.

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Lumia Lab scales latent space model to 8.9 billion parameters

LUMIA Lab has released the technical report for NCP-ArchPreview, an 8.9B parameter model trained on 5.73 trillion tokens. The model employs Next Concept Prediction to jointly predict tokens and latent representations, achieving performance parity with OLMo-3-7B while requiring significantly less data.

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