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Source channel @githubtrending · Post #15141 · Sep 13

#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

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Crypto M - Crypto News

@CryptoM · Post #64840 · 04/10/2026, 03:19 AM

🚀 AethirOFTAdapter Exploited for Over $400K, Funds Bridged to TRON PeckShieldAlert posted on X that the AethirOFTAdapter has been exploited, resulting in a loss exceeding $400,000. The perpetrator has transferred the stolen funds from the BNB Chain to the TRON network using symbiosis.finance. The funds are currently held in two TRON addresses: TNC4wgK518RZdZVa6NPZLnqy6FEswA4G15 and TL38ssgWktRRfhdjGEyfVkPD8CdP2UPq18. The incident highlights ongoing vulnerabilities in blockchain systems, emphasizing the need for enhanced security measures. AethirCloud and AethirEco have been tagged in the alert, indicating their potential involvement or interest in the situation. Further investigations are likely underway to track the movement of the funds and identify the exploiter. #AethirOFTAdapter#Exploitation#BlockchainSecurity#TRON#BNBChain#SymbiosisFinance#PeckShieldAlert#CryptoTheft#SecurityVulnerabilities#AethirCloud#AethirEco