CompressPhoto Offers Browser-Based Exact-Size Image Compression and a QR Code Studio

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A developer has released CompressPhoto, a web utility suite that compresses images to exact byte targets, such as 20KB or 100KB, to meet strict government and visa portal requirements. The tool runs entirely in the browser using React, TypeScript, and the HTML5 Canvas API, so files are never uploaded to a remote server. Its companion QR Code Studio generates static, non-expiring codes locally across 16 payload types, including Wi-Fi, vCard, and crypto payments, plus 1D barcodes. The suite also includes a passport photo formatter and a client-side PDF toolkit for compressing, merging, and splitting documents. The project is publicly available online and on GitHub, and its creator is soliciting user feedback and feature requests.

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MIT Researchers Use an LLM to Read and Edit Neural Network Weights Directly

MIT CSAIL researchers Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab published a November 2026 study called "Sparks of Weight-Space Programming" on having a general-purpose language model work directly with neural network parameters. In one case, the model repaired a repetition-loop problem in the small open model Qwen3.5-0.8B by modifying only about 0.016% of its weights, with no gradient descent or training data. The edit lifted scores on MATH-500, GSM8K, and IFEval substantially. The authors also tested whether the model could identify what games four small policies were trained to play by reading their raw weights, and it correctly named all four. The work challenges the assumption that weights can only be written by optimizers, though the authors report failure cases alongside their successes.

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Tracking company hiring trends with Greenhouse and Lever public job APIs

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Author builds five Valheim mods using AI models without prior coding experience

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Guide Shows Java Developers How to Move Claude API Prototypes into Production

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