I lost one Saturday trying to make existing SVG plugins work with Rslib. Most were Vite-only, some were outdated, and none fit Svelte or Vue properly. So I wrote two plugins instead: @avatune/rsbuild-plugin-svg-to-svelte and @avatune/rsbuild-plugin-svg-to-vue This post is basically why they exist. The Setup I’m building Avatune, an avatar component library that supports React, Vue, Svelte, and Vanilla JS. Same SVG assets, different framework outputs. The architecture looks like this: raw SVG files for avatar parts (heads, eyes, […]

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arXiv:2603.22248v1 Announce Type: cross Abstract: Diffusion language models (DLMs) have emerged as a promising alternative to autoregressive (AR) models for language modeling, allowing flexible generation order and parallel generation of multiple tokens. However, this flexibility introduces a challenge absent in AR models: the emph{decoding strategy} — which determines the order and number of tokens generated at each iteration — critically affects sampling efficiency. Among decoding strategies explored in practice, confidence-based methods, which adaptively select which and how many […]

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Victoria, Seychelles, February 5, 2026 MEXC, the fastest-growing global cryptocurrency exchange, redefining a user-first approach to digital assets through true zero-fee trading, today reported a 65% surge in January spot trading volume of newly listed tokens, as infrastructure projects—AI agents, zero-knowledge networks, and decentralized physical systems—captured the majority of sustained capital flows. n January’s 176 token listings drove spot trading volume in newly listed tokens up 65% and attracted 19% more active traders. The top performers averaged up […]

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Release: datasette-llm 0.1a4 Ability to configure different API keys for models based on their purpose – for example, set it up so enrichments always use gpt-5.4-mini with an API key dedicated to that purpose. #4 I released llm-echo 0.3 to provide an API key testing utility I needed for the tests for this new feature. Tags: llm, datasette

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arXiv:2601.08045v1 Announce Type: new Abstract: The widespread adoption of Large Language Models (LLMs) in software development is transforming programming from a solution-generative to a solution-evaluative activity. This shift opens a pathway for new cognitive challenges that amplify existing decision-making biases or create entirely novel ones. One such type of challenge stems from cognitive biases, which are thinking patterns that lead people away from logical reasoning and result in sub-optimal decisions. How do cognitive biases manifest and impact decision-making […]

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arXiv:2604.07366v1 Announce Type: new Abstract: Partial differential equations (PDEs) govern nearly every physical process in science and engineering, yet solving them at scale remains prohibitively expensive. Generative AI has transformed language, vision, and protein science, but learned PDE solvers have not undergone a comparable shift. Existing paradigms each capture part of the problem. Physics-informed neural networks embed residual structure, yet they are often difficult to optimize in stiff, multiscale, or large-domain regimes. Neural operators amortize across instances, yet […]

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