Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Early retirement sounds romantic until you sit down with a calculator. The idea of Financial Independence, or FI, is simple: You build a corpus large enough that your investments generate enough ...

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.

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Looking for good code examples for LeetCode problems? You’re in luck! Lots of people share their solutions online, especially ...

This week’s cybersecurity recap highlights key attacks, zero-days, and patches to keep you informed and secure.

点击上方“Deephub Imba”,关注公众号,好文章不错过 !这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。本文的目标是 ...

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According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...

根据Andrej Karpathy在Twitter上的分析，Python的random.seed()函数在以整数正负值（如3和-3）初始化时，会因为源码中对种子取绝对值处理，导致生成完全相同的随机数流[来源：Karpathy Twitter，Python random官方文档，CPython GitHub]。这种行为在AI和机器学习应用中容易引发数据 ...