OpenAI introduces MRC (Multipath Reliable Connection), a new supercomputer networking protocol released via OCP to improve resilience and performance in large-scale AI training clusters.
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
arXiv:2606. 04484v2 Announce Type: replace Abstract: Training reinforcement learning (RL) policies for large language model (LLM) agents requires optimizing multi-turn trajectories that interact with external environments.
Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.
AI’s next frontier isn’t just about capability—it’s about who gets to use it. Our mission to put AI in the hands of as many people as possible is what drives us.
MASkills is a continual learning framework designed to enhance multi‑agent large language model (LLM) systems by optimizing their agent skills. It introduces a new agent‑optimization pipeline that combines skill‑conditioned credit assignment, hierarchical credit aggregation, and momentum‑smoothed optimization, allowing skill libraries to evolve through refinement, induction, consolidation, and pruning. Experiments on HotpotQA, LoCoMo, and GAIA demonstrate its effectiveness across multiple agentic tasks.
Working together to create open-source and private datasets for AI training.
Welcome to Import AI, a newsletter about AI research.
Learned optimization aims to improve upon hand-designed optimizers (e. g.
OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.
arXiv:2609. 04552v1 Announce Type: cross Abstract: Unattended interactive autonomy - machines that step into danger in place of humans and complete tasks with human tools - remains a missing capability in mission-critical operations.
