What I’ve learned is that the common mistake is treating isolation as binary. It’s easy to assume that if you use Docker, you are isolated. The reality is that standard Docker gives you namespace isolation, which is just visibility walls on a shared kernel. Whether that is sufficient depends entirely on what you are protecting against.
In October, official ID photos of around 70,000 users that Discord had gathered from a previous age-verification partnership were likely leaked through a cyber-attack.
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I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
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A new platform making use of hexagonal boron nitride interfaced with the molecular superconductor κ-(BEDT-TTF)2Cu[N(CN)2]Br is demonstrated for realizing cavity-altered materials, confirmed by magnetic force microscopy and nano-optical measurements.
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