arXiv:2602.04007v1 Announce Type: new Abstract: Block space on the blockchain is scarce and must be allocated efficiently through block building. However, Ethereum’s current block-building ecosystem, MEV-Boost, has become highly centralized due to integration, which distorts competition, reduces blockspace efficiency, and obscures MEV flow transparency. To guarantee equitability and economic efficiency in block building, we propose $mathrm{Boost+}$, a system that decouples the process into collecting and ordering transactions, and ensures equal access to all collected transactions. The core of […]

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Ad networks don’t investigate intent — they react to patterns. This article describes a real incident where a Django-based content site nearly faced an ad network ban due to abnormal ad impression behavior that resembled invalid traffic. Instead of blocking users or traffic, the solution was to temporarily suppress ads for suspicious viewers at the application level. By throttling impressions per viewer and page, the site reduced enforcement risk without affecting legitimate users or analytics.

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To overcome the low accuracy of conventional methods for estimating liquid volume and food nutrient content in bowl-type tableware, as well as the tool dependence and time-consuming nature of manual measurements, this study proposes an integrated approach that combines geometric reconstruction with deep learning–based segmentation. After a one-time camera cali-bration, only a frontal and a top-down image of a bowl are required. The pipeline automatically extracts key geometric information, including rim diameter, base diameter, bowl height, and the […]

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arXiv:2411.06568v4 Announce Type: replace-cross Abstract: Evaluating preference optimization (PO) algorithms on LLM alignment is a challenging task that presents prohibitive costs, noise, and several variables like model size and hyper-parameters. In this work, we show that it is possible to gain insights on the efficacy of PO algorithm on simpler benchmarks. We design a diagnostic suite of MuJoCo tasks and datasets, which we use to systematically evaluate PO algorithms, establishing a more controlled and cheaper benchmark. We then […]

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arXiv:2601.04348v1 Announce Type: new Abstract: Recent advances in 3D Gaussian Splatting have allowed for real-time, high-fidelity novel view synthesis. Nonetheless, these models have significant storage requirements for large and medium-sized scenes, hindering their deployment over cloud and streaming services. Some of the most recent progressive compression techniques for these models rely on progressive masking and scalar quantization techniques to reduce the bitrate of Gaussian attributes using spatial context models. While effective, scalar quantization may not optimally capture the […]

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There is a lot of advice about how to be a good startup founder.  But there isn’t very much about how to be a good startup investor. Before going any further, I should point out that this is a particularly hard time to invest in startups—it’s easier right now to be a capital-taker than a capital-giver.  It seems that more people want to be investors than founders, and that there’s an apparent never-ending flow of capital looking for […]

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