NVIDIA Magpie TTS expands to 12 languages with open weights
NVIDIA's Magpie TTS v2607 adds Arabic, Korean and Brazilian Portuguese to its 364M-parameter open-weights model, targeting low-latency voice agents.
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NVIDIA's Magpie TTS v2607 adds Arabic, Korean and Brazilian Portuguese to its 364M-parameter open-weights model, targeting low-latency voice agents.
KnowPlan separates curriculum extraction from degree-pathway optimization with a hard boundary, cutting source access 47% while certifying 99.5% of plans.
New AgentStream benchmark from Microsoft and Chinese Academy of Sciences finds self-evolving AI agents behave unpredictably in task sequences
An arXiv paper drawing on Microsoft Azure production data finds agentic AI workflows bottleneck on CPU orchestration, not GPU inference, reshaping
DreamGuard, a new arXiv preprint, uses a risk-aware world model to predict when AI agent actions could drift toward danger, intervening in 25 ms.
A prespecified study found zero unauthorized tool calls across 840 GPT-5.6 agent trajectories, but raising reasoning effort changed inspection behaviour
AI agents fail on long tasks because of five cognitive gaps named in an August 2026 arXiv preprint proposing a new architecture.
Self-improving AI agents that learn from stored memory can inflate rewards for wrong answers, then preferentially reuse their most confident mistakes
Circles used OpenAI's API and Codex to personalise telecom services, self-reporting a 22% ARPU lift and 9% churn cut. What's verified and what isn't.
An arXiv preprint proposes replaying temporally-evolving enterprise worlds to test AI agents at any moment, fixing a blind spot in current evals.
New arXiv paper proposes SkillBoost, a three-stage framework that stops LLM agents overfitting to limited experience and forgetting solved tasks.
EvoPINN uses an LLM agent to automatically discover and validate algorithms for physics-informed neural networks, replacing manual tuning.