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We present Simplex-Constrained Sparse Bagging (SCSB), a mathematically rigorous framework for post-training compression and probability calibration of bootstrap-based bagging ensembles. Standard bagging ensembles (such as Random Forests, Bagged SVMs, and Bagged Neural Networks) assign uniform voting power to all constituent estimators. However, this naive uniform prior ignores the varying local competence of base estimators and contributes to model overconfidence. We formulate ensemble pruning and calibration as a joint optimization problem over the probability simplex by minimizing the Out-Of-Bag […]

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Understanding the minimal assumptions necessary for generalization is the fundamental question in learning theory. Unfortunately, most results rely heavily on independence (or some proxy thereof) of the data-generating process, while results for strongly dependent data are far more limited. Towards addressing this gap, we introduce the framework of simulatable processes, where the learner has access to a simulator that approximates the distribution generating the data (which may be an arbitrarily complex and dependent process). Surprisingly, given access to […]

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Deezer introduced a tool that scans playlists from Spotify, Apple Music, and other platforms to identify AI music.

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Pool’s new app automatically sorts screenshots into personalized collections, tracks down the original links behind saved content, and helps you rediscover products, recipes, travel ideas, and other things you meant to revisit.

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Opendoor’s decision to close its India operations has started a debate that goes way beyond one company’s restructuring. What looked like just another round of layoffs at first quickly turned into a bigger conversation about artificial intelligence and how it might shake up outsourcing, a model that has kept global business running for decades. The debate gained attention after Opendoor’s leaders mentioned their shift toward smaller AI-native teams as a key reason for the change. The company has […]

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As artificial intelligence grows, frontier AI systems face a roadblock: how to provide efficient outputs while preventing unauthorized use? The example stems from Anthropic’s latest launch, Claude Fable 5. The announcement stated that sensitive queries will fall back to Claude Opus 4.8, a less advanced system. This indicates a new pattern representing less accessibility rather than denial. It is a cautious move for frontier AI models, but it also raises a question: If the sensitive query shifts to […]

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