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💥 Explore this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Diffusion Language Models (DLMs) are emerging as a promising alternative to autoregressive (AR) LMs. Instead of generating one token at a time, DLMs iteratively refine a partially masked sequence over multiple sampling steps, gradually transforming a fully masked sequence into clean text. This refinement process creates a compelling opportunity: it enables parallel generation, allowing the model to finalize multiple tokens per iteration and potentially achieve higher throughput than AR decoding. At the same time, it can exploit bidirectional context to unlock new capabilities such as…

🔥 Explore this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Archival storage poses lots of challenges. We want media that is extremely dense and stable for centuries or more, and, ideally, doesn’t consume any energy when not being accessed. Lots of ideas have floated around—even DNA has been considered—but one of the simplest is to cut the data into glass. Many forms of glass are very physically and chemically stable, and it’s relatively easy to create features in it. There’s been a lot of preliminary work demonstrating different aspects of a glass-based storage system. But…