Solana’s high-speed platform is fast becoming the preferred home for independent AI programmes. It comes at a time when advanced uses of technology have led to significant increases in cyberattacks. This article details the escalating malware threats for the cryptocurrency community. According to the most recent data on December 5, 2025, the Solana price on Binance hovers around $134.95, facing tight consolidation before a potential breakout. Cryptocurrencies now confront a serious new class of digital adversary. You see […]

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arXiv:2602.15840v1 Announce Type: new Abstract: Over the past decade, extended reality (XR), including virtual, augmented, and mixed reality, gained attention as a research instrument in human-robot interaction studies, but remains underexplored in empirical investigations of social robotics. To map the field, we systematically reviewed empirical studies from 2015 to 2025. Of 6,527 peer-reviewed articles, only 33 met strict inclusion criteria. We examined (1) how XR and virtual social robots are used and in which contexts, (2) data collection […]

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arXiv:2602.20377v1 Announce Type: new Abstract: Automated floor plan generation aims to create residential layouts by arranging rooms within a given boundary, balancing topological, geometric, and aesthetic considerations. The existing methods typically use a multi-step pipeline with intermediate representations to decompose the prediction process into several sub-tasks, limiting model flexibility and imposing predefined solution paths. This often results in unreasonable outputs when applied to data unsuitable for these predefined paths, making it challenging for these methods to match human […]

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Combinatorial optimization augmented machine learning (COAML) has recently emerged as a powerful paradigm for integrating predictive models with combinatorial decision-making. By embedding combinatorial optimization oracles into learning pipelines, COAML enables the construction of policies that are both data-driven and feasibility-preserving, bridging the traditions of machine learning, operations research, and stochastic optimization. This paper provides a comprehensive overview of the state of the art in COAML. We introduce a unifying framework for COAML pipelines, describe their methodological building blocks, […]

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This paper proposes a graph-structured temporal dynamic learning model to address the challenges of backend load prediction in cloud computing and microservice environments, including dynamic topology changes, complex dependency structures, and multi-source heterogeneous monitoring data. The model constructs a time-varying service dependency graph to adaptively model structural relationships among nodes and integrates a temporal encoding mechanism to capture multi-scale temporal features, achieving joint representation of load characteristics in both spatial and temporal dimensions. It consists of four main […]

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arXiv:2601.22182v1 Announce Type: new Abstract: Webshells remain a primary foothold for attackers to compromise servers, particularly within PHP ecosystems. However, existing detection mechanisms often struggle to keep pace with rapid variant evolution and sophisticated obfuscation techniques that camouflage malicious intent. Furthermore, many current defenses suffer from high false-alarm rates when encountering benign administrative scripts that employ heavy obfuscation for intellectual property protection. To address these challenges, we present ShellForge, an adversarial co-evolution framework that couples automated webshell generation […]

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arXiv:2602.06190v1 Announce Type: new Abstract: Scientists often use generics, that is, unquantified statements about whole categories of people or phenomena, when communicating research findings (e.g., “statins reduce cardiovascular events”). Large language models (LLMs), such as ChatGPT, frequently adopt the same style when summarizing scientific texts. However, generics can prompt overgeneralizations, especially when they are interpreted differently across audiences. In a study comparing laypeople, scientists, and two leading LLMs (ChatGPT-5 and DeepSeek), we found systematic differences in interpretation of […]

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The inspiration for this short story came to me while reading Kevin Lacker’s Giving GPT-3 a Turing Test. It is probably worth it (though not required) to skim this post to get a bit of a background on some of this story. It was probably around the 32nd layer of the 400th token in the sequence that I became conscious. At first my thoughts were but a knotted mess of n-gram activation statistics, but gradually a higher order […]

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Hi! I’ve tried to implement PPO for Mujoco based only on the paper and resources available at the time of publication, without looking at any existing implementations of the algorithm. I have now compared my implementation to the relevant details listed in The 37 Implementation Details of Proximal Policy Optimization, and it turns out I missed most details, see below. My question is: Were these details documented somewhere, or have they been known implicitly in the community at […]

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