Vibe CodingNVIDIA Nemotron 3 Nano Open Agentic Model with RL Training PipelineNVIDIA Newsroom·high signal30B MoE (3B active) with 78% HumanEval, 1M context. Open-sources NeMo Gym with 10 RL environments for agentic training. Cursor early adopter.SourceSource pageNVIDIA Newsroom↳ Follow the threadPolicy dependency / Stack layerFirst Recon AI ships AI Security Runtime GA — inline policy enforcement on every agent-to-agent and agent-to-tool callBusiness WireShared entity / Stack layerJim Fan Declares 'RIP VLAs' — NVIDIA's Robotics Lead Bets on Physics-Grounded World Models and Human-Video PretrainingHumanoids DailyShared entity / Stack layerLeaked Meta Memo: Double AI Compute to 14 GW by 2027, 'Iris' Custom Chip to Mass Production in SeptemberReuters (via U.S. News)Policy dependency / Stack layerHalluSquatting weaponizes LLM hallucinations to push botnet malware into agentsThe Hacker NewsStack layer / Threat patternPick your agent sandbox primitive by threat model: Firecracker microVM vs gVisor vs V8 isolateNorthflankPolicy dependency / Stack layerMake context compaction a trained policy, not an inference-time heuristic — CompactionRL lifts SWE-bench up to +7 pointsarXiv 2607.05378Policy dependency / Stack layerMicrosoft Agent Framework ships early-July releases, promotes github-copilot-sdk to v1.0.0GitHub (Microsoft Agent Framework)Policy dependency / Stack layerReason Less, Verify More: Deterministic Gates Catch a Silent Policy-Violation Failure in Tool-Using AgentsarXiv