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Source channel @githubtrending · Post #15340 · Dec 17

#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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Crypto M - Crypto News

@CryptoM · Post #65305 · 04/12/2026, 06:10 PM

🚀 CMDSS Employee Accused of Misappropriating $46 Million in Seized Digital Assets A federal indictment has been filed against John Daghita, an employee of CMDSS, accusing him of transferring approximately $46 million in seized digital assets from U.S. Marshals Service (USMS) wallets to wallets under his control. According to NS3.AI, Daghita was apprehended by French Gendarmerie officers on March 4 in Saint Martin. Prosecutors allege that these unauthorized transfers took place in December and January. The case has reignited concerns previously raised by the Department of Justice (DOJ) inspector general and industry participants regarding the vulnerabilities in the USMS's crypto custody controls, procurement processes, and audit systems. These issues highlight the need for improved security measures and oversight in handling digital assets. #CMDSS#JohnDaghita#USMS#digitalassets#crypto#seizedassets#fraud#misappropriation#federalindictment#FrenchGendarmerie#NS3AI#DOJ#cryptosecurity#vulnerabilities#audit#procurement#oversight