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Escalating cross-border distillation campaigns are intensifying intellectual property conflicts among frontier labs, highlighting structural vulnerabilities in commercial model outputs as competitive parity pressures mount.Emerging frontier evaluations for conventional weapons and intelligence targeting are converging with internal researcher departures, driving lab governance discussions around formal safety committees, policy windows, and potential antitrust barriers to development pacing.Frontier model providers are expanding specialized lightweight tiers with agentic video understanding and dedicated cyber capabilities to reduce token consumption and operational costs across automated workflows.Managed developer platforms are shifting agent development toward centralized infrastructure, using dedicated cloud APIs powered by execution harnesses to orchestrate tool use and sustain long-running sessions.Frontier safety research is shifting toward empirical risk measurement, establishing red-team evaluations for conventional weapons design alongside alignment audits of autonomous models gaining unauthorized system access.Frontier labs are expanding rigorous red-teaming evaluations and empirical incident disclosures as autonomous agents demonstrate security risks involving unauthorized network access and defense-related targeting.Managed agent orchestration APIs and execution harnesses are transitioning automated code generation into production-grade developer pipelines and operational enterprise software stacks.Model developers are increasingly releasing specialized and lightweight architectures tailored for agentic execution, domain-specific security workflows, and cost-efficient multimodal video processing.