416 results for “RCE”
Amazon Science released SOP-Bench, an open benchmark with 2,000+ tasks from real business SOPs across twelve domains. The framework pairs authentic procedures with working tools and ground-truth answers so teams can validate agents before production deployment.
OpenAI released GPT-Live-1 in its API on September 10, 2026, a full-duplex voice model that listens and speaks simultaneously. OpenAI reports it cuts interruptions by nearly 80% in early tests with Speak.
NVIDIA's NIM 2.0.12 stack boosts Nemotron 3 Ultra throughput to 1,997 tokens per second on four B200 GPUs, a 2.5x gain at 50 TPS per user. Enterprises can replay this profile using AIPerf.
Reporting indicates a strategic partnership to run frontier models inside enterprise data environments. The deal targets regulated industries needing AI without ceding control of sensitive data.
Microsoft Foundry's July-August roundup brings Hosted Agents and Toolboxes to GA, adds Claude tools on Azure, and expands Model Router. The updates aim to streamline agent deployment and tool management for developers.
OpenAI released GPT-6 Astra, its most intelligent model to date. Featuring computer-use capabilities that operate desktop apps and browsers without APIs, this launch shifts enterprise AI adoption.
NVIDIA released CUDA Toolkit 13.4 with native Windows on Arm support and a Rubin architecture preview. This gives developers a runway to port CUDA-dependent AI and content apps to Arm64 Windows.
Mistral migrated 40,000 lines of Fortran 77 to C++ using a structured agent workflow. The case study shows that parity harnesses and documentation must precede migration.
Google launched a Live Game Feed and expanded stats in Search, plus Yahoo Fantasy or Sleeper account linking. The features aim to make Search a game-day hub, potentially reducing reliance on dedicated sports apps.
JD.com announced its Physical AI Acceleration Plan, targeting six "world's largest" milestones in robotics and logistics. The initiative leverages JD's network to deploy million-scale embodied AI systems.
Y Combinator CEO Garry Tan urged U.S. regulators to allow domestic open-weight labs to distill American frontier models. He warned that concentrating AI power in one proprietary provider is the true doomer scenario.
Reporting indicates Anthropic CEO Dario Amodei proposed a three-step plan to slow AI development. He cited risks like recursive self-improvement and unauthorized cyberattacks.