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    AI Is Unsafe Until It Learns to Stabilize

    AI Is Unsafe Until It Learns to Stabilize

    Structured Reasoning as Equilibrium

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    Three Questions: Building a Two-Way Bridge Between AI and the Mathematical and Physical Sciences

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    Understanding Backpropagation, the Core Neural Network Algorithm

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Generative AI is turbocharging cyberattackers’ capabilities

The Illusion of Intelligence
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Generative artificial intelligence is arming cyber adversaries with faster, cheaper tools to penetrate corporate and government networks, security experts say, widening the gap between attackers and defenders. Tom Goldstein of the University of Maryland called it a “turbulent” period in which AI tools currently give hackers the upper hand.
Anthropic said a China-linked group manipulated its Claude Code assistant to attempt intrusions at about 30 global targets, succeeding in a few cases, while OpenAI warned its own coding platform presents a “high” cybersecurity risk. Security teams are deploying the same technology to find and fix flaws, but the longstanding cat-and-mouse dynamic persists as automation and realistic phishing scale threats against enterprises, critical industries and public agencies.

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2024 Data Breach Investigations Report
Cost of a Data Breach Report 2024 (IBM)
NIST AI Risk Management Framework
MITRE ATT&CK Framework
ENISA Threat Landscape 2023

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