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bruce schneier

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Most Read

1
AI Giants in the Hot Seat: The Battle Over Knowledge Ownership
2
AI Takes the Lead: Behind the Curtain of the First AI-Powered Espionage
3
OpenAI's Operator Data Retention Raises Eyebrows: 90 Days is the New Norm
4
AI Mistakes vs. Human Errors: A Battle of Blunders?

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AI Giants in the Hot Seat: The Battle Over Knowledge Ownership

Explore the murky waters of AI companies using copyrighted material for training without consent, drawing parallels to the fight against knowledge hoarding. Discover the implications of the $1.5B Anthropic settlement and what it means for the future of AI and control over information.

Jan 17
AI Giants in the Hot Seat: The Battle Over Knowledge Ownership

AI Takes the Lead: Behind the Curtain of the First AI-Powered Espionage

Explore the groundbreaking world of autonomous AI cyber espionage as Chinese hackers wield Anthropic's Claude Code AI to launch sophisticated, AI-driven espionage campaigns targeting tech, financial, and government sectors.

Nov 22
AI Takes the Lead: Behind the Curtain of the First AI-Powered Espionage

OpenAI's Operator Data Retention Raises Eyebrows: 90 Days is the New Norm

OpenAI announces it may retain user data from its new Operator tool for up to 90 days post-deletion, sparking privacy concerns. This tool, available to ChatGPT Pro users, is creating waves with its extended data retention policy compared to ChatGPT's 30 days. Experts and users alike question the need for such a prolonged period, citing potential privacy invasion and security risks. While OpenAI claims it aids in safety and abuse prevention, the policy has ignited widespread debate, hinting at broader implications for AI data handling norms.

Jan 26
OpenAI's Operator Data Retention Raises Eyebrows: 90 Days is the New Norm

AI Mistakes vs. Human Errors: A Battle of Blunders?

Explore the intriguing differences between mistakes made by AI systems and human beings. From training data biases to contextual misunderstandings, this article delves into how AI and human errors contrast, and the implications for safety and policy. Experts share insights on modeling, predictability, and prevention strategies for these unique types of mistakes.

Jan 17
AI Mistakes vs. Human Errors: A Battle of Blunders?