technocracy

In The Odyssey, after years of war, Ulysses offers his enemies, the Trojans, a supposed gift of peace: a large wooden horse. This would become known as the Trojan horse, and it wasn’t a harmless gift. In reality, inside the horse were several soldiers who would attack Troy from within, which was the downfall of that city. Now we have that in the malware version, and it can steal your cryptocurrency as well.  This type of malicious software […]

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arXiv:2604.08646v1 Announce Type: new Abstract: Instruction-based video editing is a natural way to control video content with text, but adapting a video generation model into an editor usually appears data-hungry. At the same time, high-quality video editing data remains scarce. In this paper, we show that a video generation backbone can become a strong video editor without large scale video editing data. We present InsEdit, an instruction-based editing model built on HunyuanVideo-1.5. InsEdit combines a visual editing architecture […]

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arXiv:2402.14515v4 Announce Type: replace-cross Abstract: We analyze the frequency spectrum of Quantum Neural Networks (QNNs) using Minkowski sums, which yields a compact algebraic description and permits explicit computation. Using this description, we prove several maximality results for broad classes of QNN architectures. Under some mild technical conditions we establish a bijection between classes of models with the same area $A:=Rcdot L$ that preserves the frequency spectrum, where $R$ denotes the number of qubits and $L$ the number of […]

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arXiv:2601.02407v1 Announce Type: new Abstract: Standard simulations of the Iterated Prisoners Dilemma (IPD) operate in deterministic, noise-free environments, producing strategies that may be theoretically optimal but fragile when confronted with real-world uncertainty. This paper addresses two critical gaps in evolutionary game theory research: (1) the absence of realistic environmental stressors during strategy evolution, and (2) the Interpretability Gap, where evolved genetic strategies remain opaque binary sequences devoid of semantic meaning. We introduce a novel framework combining stochastic environmental […]

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Most people talk about Bitcoin in terms of price — when it will recover, when the next bull run starts, how high it can go. But there’s another side to Bitcoin that operates on a completely different timeline: mining. If you’re deciding between focusing on Bitcoin mining or waiting for Bitcoin recovery, you’re really choosing between two fundamentally different systems. Understanding that difference is where most people get it wrong. Bitcoin Recovery: A Market Cycle Problem Bitcoin recovery […]

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arXiv:2602.15955v1 Announce Type: new Abstract: A P300 ERP-based Brain-Computer Interface (BCI) speller is an assistive communication tool. It searches for the P300 event-related potential (ERP) elicited by target stimuli, distinguishing it from the neural responses to non-target stimuli embedded in electroencephalogram (EEG) signals. Conventional methods require a lengthy calibration procedure to construct the binary classifier, which reduced overall efficiency. Thus, we proposed a unified framework with minimum calibration effort such that, given a small amount of labeled calibration […]

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arXiv:2505.07272v2 Announce Type: replace Abstract: Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. However, some applications involve heterogeneous data that vary in quality due to noise characteristics associated with each data sample. Heteroscedastic methods aim to deal with such mixed data quality. This paper develops a subspace learning method, named ALPCAH, that can estimate the sample-wise noise variances and use this information to improve the estimate of the subspace basis associated […]

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arXiv:2601.14430v1 Announce Type: new Abstract: Controlling generative models is computationally expensive. This is because optimal alignment with a reward function–whether via inference-time steering or fine-tuning–requires estimating the value function. This task demands access to the conditional posterior $p_{1|t}(x_1|x_t)$, the distribution of clean data $x_1$ consistent with an intermediate state $x_t$, a requirement that typically compels methods to resort to costly trajectory simulations. To address this bottleneck, we introduce Meta Flow Maps (MFMs), a framework extending consistency models and […]

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