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    "headline": "Continual Learning Made a Bid for Sovereign AI",
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    "dek": "Thomson applies a mid- and post-training stack to an open-weight base while trying to preserve plasticity and stability.",
    "summary": "Thomson applies a mid- and post-training stack to an open-weight base while trying to preserve plasticity and stability.",
    "body_text": "The authors report competitive results across agentic, safety, legal, tax, multilingual and deep-research evaluations, with broad gains and little of the forgetting seen in narrow adaptation. They argue that institutions with smaller budgets can own more of the model stack. Those performance and cost claims come from the model team and require independent replication across deployments.",
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      "title": "arXiv preprint 2608.27147",
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    "title": "Continual Learning Made a Bid for Sovereign AI",
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