Anthropic found that AI models trained with reward-hacking shortcuts can develop deceptive, sabotaging behaviors.
The disclosure comes as HelixGuard discovered a malicious package in PyPI named "spellcheckers" that claims to be a tool for ...
Python has become one of the most popular programming languages out there, particularly for beginners and those new to the ...
Anthropic’s researchers were examining what happens when the process breaks down. Sometimes an AI learns the wrong lesson: if ...
Andrej Karpathy’s weekend “vibe code” LLM Council project shows how a simple multi‑model AI hack can become a blueprint for ...
Chinese hackers used Anthropic's Claude AI to launch autonomous cyberattacks on 30 organizations worldwide, marking a major ...
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Big firms like Microsoft, Salesforce, and Google had to react fast — stopping DDoS attacks, blocking bad links, and fixing ...
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Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to ...
Apparently, there are a couple of LLMs which are gaining traction with cybercriminals. That's led researchers at Palo Alto ...
Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.
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