Generative AI chatbots often make mistakes known as hallucinations, where they make up information. Researchers are not optimistic about quick advancements in AI technology, as improving accuracy and reliability remains a challenge. Despite progress, concerns about factuality and trustworthiness persist in generative AI models, with doubts about solving these issues soon. Awareness of AI limitations is crucial for users to properly navigate the technology.
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Crypto Developers Targeted by Python Malware Disguised as Coding Challenges
The North Korea-linked threat actor responsible for the significant Bybit hack in February 2025 has been associated with a new malicious campaign targeting developers by delivering stealer malware disguised as coding assignments. This activity has been attributed to the hacking group tracked by Palo Alto Networks Unit 42 as Slow Pisces, also known as Jade Sleet or PUKCHONG. The group's tactics highlight a persistent threat to the cybersecurity landscape, particularly in relation to software development...
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