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Generative AI systems trained on synthetic data exhibit progressive degradation known as model collapse. This paper provides a theoretical explanation of this phenomenon using Shannon’s Data Processing Inequality (DPI), modeling iterative synthetic-data training as a Markov chain of lossy transformations. We show that mutual information with respect to the original data distribution must decrease monotonically, yielding quantitative predictions for exponential decay rates and identifying architectural constraints as the dominant source of information loss.Building on this analysis, we introduce […]

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Employment recommendation systems are increasingly used to support graduate job matching. However, limited research has examined how graduating computer science students perceive and respond to a proposed employment recommendation approach that combines static information matching with dynamic interactive functions. Drawing on the Technology Acceptance Model (TAM) and Information System (IS) Success Model, this study conducted a questionnaire-based survey of 386 graduating students and included an exploratory assessment of the questionnaire’s internal consistency and construct structure. The findings show […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## ClickFix Attacks Are Targeting VC and Fintech Talent with New Multi-Stage Loader Techniques By @moonlock [ 11 Min read ] New ClickFix attacks target crypto pros via fake LinkedIn job offers. Learn how multi-stage loaders steal assets and how to protect yourself from these […]

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Multi-task learning shows strikingly inconsistent results — sometimes joint training helps substantially, sometimes it actively harms performance — yet the field lacks a principled framework for predicting these outcomes. We identify a fundamental but unstated assumption underlying gradient-based task analysis: tasks must share training instances for gradient conflicts to reveal genuine relationships. When tasks are measured on the same inputs, gradient alignment reflects shared mechanistic structure; when measured on disjoint inputs, any apparent signal conflates task relationships with […]

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Sentiment analysis of Thai social media texts remains challenging due to the lack of explicit word boundaries, informal language, and high linguistic variability, further exacerbated by class imbalance, short texts, and ambiguous categories. Recent transformer-based models, particularly WangchanBERTa, have shown strong performance in Thai NLP; however, their ability to extract fine-grained, sentiment-specific local features remains limited when applied to noisy, short social media texts. This study proposes a lightweight hybrid framework that integrates WangchanBERTa with multiple neural architectures, […]

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Every failed decentralized autonomous organization (DAO) tells roughly the same story: a burst of idealism, a Discord server with too many channels, and a treasury someone eventually walked off with. Magenta Ceiba has spent years building the exceptions. As a project manager at dOrg, one of the few DAOs that has quietly kept working since 2019 and the first ever legally recognized as an LLC in the US, and co-founder of Bloom Network, a regenerative social cooperative building […]

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Scott Hsu, a Technical Program Manager in the Office of the CTO at Rippling, argues that the software industry is completing a cycle that began two decades ago — and that AI has just made the outcome inevitable. History does not repeat in software. But it does rhyme, and right now it is rhyming loudly. Twenty years ago, a small number of software giants — SAP, Oracle, Microsoft — controlled nearly everything businesses ran on. They were the […]

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Key Highlights – After spending 12 months rebuilding its AI operation from scratch, Meta unveiled its the first model from Meta Superintelligence Labs – Muse Spark. Labs was Mark Zuckerberg first division created in mid-2025 after Llama 4 faced poor reviews and an admission that benchmark results had been inflated using unreleased, fine-tuned model variants. Muse Spark is Meta’s attempt to make up for the lost goal. The model was developed under the internal codename Avocado and is […]

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In recent years, wearable sensing technologies have been widely used for motion analysis in sports; however, in kendo, motion evaluation still largely relies on subjective assessment, and quantitative approaches remain limited. This study proposes an embedded Inertial Measurement Unit (IMU) based sensing system for motion analysis of kendo swings. The system integrates a compact IMU and a microcontroller within the handle of a bamboo sword (shinai), enabling unobtrusive measurement without affecting usability. To achieve robust orientation estimation under […]

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