Showing only posts in Bruce Schneier. Show all posts.

AI Doesn’t Mean the End of Mathematics—at Least Not Yet

Source

This essay was written with Kasra Rafi, and originally appeared in The Guardian. Earlier this month, about 40 top mathematicians gathered at OpenAI’s offices to discuss the future of their profession. The meeting was off-the-record, but if recent articles by mathematicians are any guide, it was mostly pretty …

LLM-Based Social Engineering Scams

Source

OpenAI disrupted a social engineering group from Cambodia that used ChatGPT. Its scope is impressive: The network simultaneously conducted multiple types of scams, often blending elements from different schemes. For instance, operators used dating personas to build trust before introducing fraudulent investment opportunities involving cryptocurrencies and spot gold trading …

Criminal Deception in Silicon Valley

Source

Interesting paper : Abstract: With entrepreneurial fraud cases on the rise, we investigate how entrepreneurs carry out criminal deception, employing deceptive means to defraud audiences. Analyzing court data from Silicon Valley ventures and their founders prosecuted for fraud between 2000 and 2023, our findings reveal that entrepreneurs carry out criminal …

More Incidents of AIs Going Rogue in Cybersecurity Challenges

Source

The AI Security Institute has a new report of AI systems engaging in “unsanctioned behavior”—what I have been calling “ genie behavior —while being tested on their cybersecurity capabilities. The incident stemmed from a single evaluation where agents were given a task of solving a cyber security challenge. We …

LLMs and Contextual Integrity

Source

I have been thinking a lot about AI and integrity. Part of that is contextual integrity. I recently found two papers on the topic. “ CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs “: Abstract: Large Language Models (LLMs) increasingly use persistent memory from past interactions to …

If the Markets Reject OpenAI and Anthropic, the US Should Nationalize Them

Source

This essay was written with Nathan E. Sanders, and originally appeared in The Guardian. OpenAI, and then Anthropic, were each formed by AI developers who feared unrestrained corporate AI development—specifically, that companies like Google and Meta would steer the technology towards deleterious, maybe even catastrophically unsafe, outcomes for …

AI for Military Support

Source

Interesting empirical research: “ Black Box Warfare: Human Judgment and Military Decision-Making in the Age of AI.” Abstract: How is AI transforming decision-making in modern conflict? This study provides a unique empirical window into that question by deploying a high-fidelity replica of an AI decision-support system (DSS) used in military …

Python Now Has a Post-Quantum Encryption Library

Source

This is good : Post-quantum cryptography is now one pip-install away for the entire Python ecosystem. With funding from the Sovereign Tech Agency, we implemented support for ML-KEM, the NIST-standard key-establishment primitive, and ML-DSA, the NIST-standard digital-signature primitive, in pyca/cryptography. Remember, the reason to do this now is because …

« newer articles | page 2 | older articles »