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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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Recovering Eric Graham’s 1987 Amiga Juggler raytracer source code

Recovering Eric Graham’s 1987 Juggler raytracer source code AlphaPixel often gets involved with modernizing and updating old performance and graphics code. Sometimes that means client work under NDA. But sometimes it means a fun side quest in the mystical realms of curiosity, preservation, and the practical problem of getting old data into a form that[…]

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LAN-LOK: The Antarctic DOS Sabotage Game Lost for 34 Years (Part 1)

LAN-LOK: The Antarctic DOS Sabotage Game Lost for 34 Years (Part 1) An exercise in reconstructing (and maybe modernizing) history. AlphaPixel often gets called upon to work on legacy codebases, sometimes VERY legacy. We have contact with code from the 80s and 90s on a regular basis, in a variety of dialects and languages, and[…]

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Top 10 Technical Papers From SIGGRAPH 2025 Vancouver (with paper links)

Top 10 Technical Papers From SIGGRAPH 2025 Vancouver (with paper links) We keep a close eye on the cutting edge of graphics research so we can bring the freshest ideas into our projects and keep our clients informed. The annual Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) 2025 conference took place in

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clang-format Style Guide Matrix and Summaries

clang-format Style Guide Matrix and Summaries Have you ever tried to make sense of clang-format’s dozens of style options? Or tried to remember which one actually controls that one spacing quirk? Most guides out there just show examples without summarizing why one choice differs from another. We created a table that lines up the formatting

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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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