LLMs

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Don’t let your proprietary code and IP leak to the cloud. Use on-prem air-gapped code audits.

A few days ago the mathematician Tristan Buckmaster, of NYU’s Courant Institute, published a statement about a result he and Levent Alpöge had spent roughly a year chasing: finite-time blowup for several equations in fluid dynamics, the kind of problem that sits next to a Clay Millennium Prize. Through the whole project they state they worked with LLMs, including OpenAI’s Codex, and they put every draft into their Codex sessions as they went. Then a rumor started that someone had cracked a major open problem. Buckmaster was told an internal OpenAI model had produced a competing proof, around 100 pages, on[…]

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Prompt Injection and What it Means for Large Language Models (LLMs)

This article discusses prompt injection attacks, which target large language models (LLMs) by manipulating inputs to force unintended or malicious behavior. It explains how prompt injection works, various defense strategies like input sanitization and privilege minimization, and the challenges in securing LLMs. Real-world examples and prevention techniques are also covered.

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