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Source channel @githubtrending · Post #15539 · Mar 5

#python#agent#llm#llm_agent#llm_reasoning#machine_learning_systems#mlsys#reinforcement_learning#rl AReaL is a free, open-source system for fast asynchronous reinforcement learning to train large AI models in math, coding, search, and agents. It decouples generation and training for up to 2.77x speedup, stable performance, and easy setup on single or 1000+ GPUs with algorithms like GRPO/PPO. Install via git/pip, run examples like GSM8K math instantly. You benefit by building top AI agents affordably and quickly, reproducing results with shared data/models, saving time/money vs. slow synchronous tools. https://github.com/inclusionAI/AReaL

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Crypto M - Crypto News

@CryptoM · Post #65081 · 04/10/2026, 08:37 PM

🚀 AI TRENDS | Wall Street Banks Test Anthropic's Mythos Model for Vulnerability Detection Wall Street banks have begun internal testing of Anthropic's Mythos model, as reported by Bloomberg on X. The initiative comes amid encouragement from U.S. President Donald Trump's administration officials, who are advocating for its use in identifying potential vulnerabilities. The Mythos model, developed by Anthropic, is designed to enhance security measures within financial institutions by leveraging advanced AI capabilities. This move reflects a growing trend among major banks to integrate cutting-edge technology to bolster their defenses against emerging threats. #AI#trends#WallStreet#banks#Anthropic#Mythos#model#vulnerability#detection#security#financialinstitutions#AItechnology#emergingthreats