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American economic policy is facing a crisis that cannot be solved simply by an election. The biggest economic problems of the moment, workforce shortages, small business fragility, and innovation gaps between regions, are stubbornly resistant to the usual solutions. More government alone does not fix them, and more markets alone does not fix them. Something in the middle has to do the work. Rhett Buttle has built a career on naming that something. As the founder and CEO […]

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Abstract: Classical Design by Contract (DbC) implicitly relies on the “Memory Axiom”—the assumption that human collaborators possess persistent contextual memory. The emergence of stateless AI agents as primary code-producers invalidates this axiom. We propose that in an agentic workflow, the contract must transcend its role as a correctness specification and become a complete, self-contained reconstruction of system intent. :::tip This is Part 5 of my contract-style-comments (CSC) series. Part 4: Why Agentic Software Development Needs Documentation Stewardship Part 6: How to […]

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I’ve written a C++ implementation of distilHuBERT. https://github.com/pfeatherstone/hubert.cpp It has no runtime dependencies, the weights are compiled into the library, it supports dynamic sizes, has performance on par with onnxruntime (in my tests) and can be easily integrated into any CMake project. Please let me know your thoughts. submitted by /u/Competitive_Act5981 [link] [comments]

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Results are almost here. Good luck to everyone waiting for the final decision 🙂 submitted by /u/Sea_Muscle_4281 [link] [comments]

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A contained honeypot impersonating a small internet-facing energy site collected 54 days of traffic – roughly 1.7 million events from 16,568 unique sources, discovered within the first hour. Most was commodity automation, but a thin tail spoke real Modbus, including 392 device-identity reads with zero write or control attempts. On ATT&CK for ICS the industrial activity maps to discovery and never reaches impact, while the SSH chain still completed: weak logins led to commodity DDoS, proxy, and backdoor […]

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Introduction: When engineers first encounter entity resolution, the problem looks deceptively simple: compare records, score likely matches, connect the ones above a threshold, cluster the graph. That mental model works for a whiteboard interview. It does not survive production. Because once you move from a few thousand clean records to hundreds of millions of noisy ones, entity resolution stops being a neat graph exercise and becomes something much messier: a probabilistic system, a data quality system, a correction […]

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Avataar AI’s distilled video model is priced at $0.005 for every second of generation

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arXiv:2606.13277v1 Announce Type: new Abstract: Recent advances in time series anomaly detection (TSAD) have highlighted the effectiveness of self-supervised classification-based approaches. These methods apply transformations to normal training samples, training a classifier to recognize transformation-specific patterns that help identify anomalies through increased classification errors. Despite their strong performance, a significant challenge is their lack of explainability, as they provide limited insight into the characteristics of flagged anomalies. To address this limitation, we propose ProtoX-AD, a prototype-based self-explainable framework […]

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arXiv:2606.13146v1 Announce Type: new Abstract: We propose a robust feature-weighted jump model for time-dependent clustering. A penalty is used to encourage smoothness of transitions over time, while robustness is achieved through the use of a Tukey’s biweight loss function. An additional parameter controls the variability of feature weights across states, allowing the model to assign state-specific relevance to each feature. We illustrate in simulation how the method accurately recovers the true cluster sequence and reliably identifies relevant features, […]

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