OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
Researchers introduce OPID, an on-policy skill distillation framework for training language agents that addresses the sparse-reward problem in long-horizon reinforcement…
Researchers introduce OPID, an on-policy skill distillation framework for training language agents that addresses the sparse-reward problem in long-horizon reinforcement…
Anthropic announced it is building an in-house team to design custom chips for its Claude AI models, hiring engineers to…
A paper describes RTP-LLM, an LLM inference engine designed to address deployment bottlenecks in production serving. It combines file-order-driven parallel…
Alibaba’s Qwen team made Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model, broadly available through a hosted API compatible with OpenAI and DashScope…
A new benchmark called OSReward evaluates how reliable vision-language models are when used as automated judges of computer-using agent trajectories…
A paper proposes UniME-R1, a multimodal retrieval framework that generates reasoning conditioned on retrieval feedback rather than the query alone.…
The U.S. Bureau of Industry and Security is investigating how Chinese AI companies access Nvidia chips remotely through overseas data…
Researchers present CalibForge, a system that automatically synthesizes and calibrates training tasks for terminal-use AI agents based on verified solver…
AMD reported record second-quarter 2026 revenue of $11.5 billion, up 50% year-over-year, driven by data center revenue that more than…
Samsung unveiled zHBM, a next-generation 3D memory architecture, at the FMS 2026 conference, claiming it delivers roughly eight times the…
OpenAI has eliminated daily text chat limits for free ChatGPT users and switched their default model from GPT-5.5 Instant to…
xAI released Grok Imagine Image 2.0 on August 7, adding a magic wand tool, multi-image reference inputs and smart-resize features…