Unverified claims about leadership roles can mislead stakeholders, impacting trust and strategic decisions in international academia.
The post Nvidia CEO Jensen Huang joins advisory board at Beijing’s Tsinghua University appeared first on Crypto Briefing.
Last month at Beijing’s half marathon, a robot named Lightning beat the human world record by nearly seven minutes. It’s the latest in a string of AI-powered milestones that have got people wondering whether robots are about to enter our everyday lives, just as chatbots have. And the country leading the charge is China, where the government has pledged to invest more than £100bn in robotics over the next 20 years. To find out how robots are already entering the workforce, and what needs to happen to get them cleaning our homes and weeding our gardens, Ian Sample hears from the Guardian’s senior China correspondent, Amy Hawkins, and from Nathan Lepora, professor of robotics and AI at Bristol University, who researches how robots can achieve human-like dexterity
Clips: Global News, BBC, CGTN
Continue reading...
AI leaders including Jensen Huang and Sam Altman are moderating earlier warnings about mass job losses from artificial intelligence, suggesting that previous “doomsday” predictions overstated the near-term impact on employment. The shift comes as public concern over workplace disruption from AI continues to grow across major economies.
Unverified claims about leadership roles can mislead stakeholders, impacting trust and strategic decisions in international academia.
The post Nvidia CEO Jensen Huang joins board at prestigious Beijing university appeared first on Crypto Briefing.
China's AI policy prioritizes job preservation, potentially reshaping global labor standards and influencing international corporate strategies.
The post Beijing warns companies to embrace AI without job cuts appeared first on Crypto Briefing.
NVIDIA researchers have introduced Polar, a rollout framework that trains language agents using reinforcement learning without modifying their agent harnesses. Polar places a model API proxy between the harness and the inference server, capturing token-level interactions and reconstructing trainer-ready trajectories. Using GRPO on a Qwen3.5-4B base model, Polar improves SWE-Bench Verified pass@1 by 22.6 points under the Codex harness, 4.8 points under Claude Code, and 6.2 points under Pi. The framework is registered as a NeMo Gym environment and released under the ProRL Agent Server repository.
The post NVIDIA Releases Polar, a Token-Faithful Rollout Framework for GRPO Training Across Codex, Claude Code, and Qwen Code appeared first on MarkTechPost.
