arXiv:2601.17067v1 Announce Type: new Abstract: Large-scale video generation models have demonstrated emergent physical coherence, positioning them as potential world models. However, a gap remains between contemporary “stateless” video architectures and classic state-centric world model theories. This work bridges this gap by proposing a novel taxonomy centered on two pillars: State Construction and Dynamics Modeling. We categorize state construction into implicit paradigms (context management) and explicit paradigms (latent compression), while dynamics modeling is analyzed through knowledge integration and architectural […]

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Systems don’t fail because they are poorly written; they fail because they cannot keep up with the complex and ever-changing needs of a business. When speaking with Ignacio Brasca, who is a staff software engineer with several years of experience building complex data systems, he emphasized that software behaves much like a biological system—and that the entropy involved in making it grow cannot be underestimated. As organizations and systems evolve together, developers must plan for long-term change from […]

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In 2026, the conversation around startups feels noticeably more disciplined than it did a few years ago. Founders still talk about speed and innovation, but investor conversations now circle back to margin structure, cash visibility, staffing efficiency and capital allocation far earlier in a company’s lifecycle. Teams are leaner by design. AI has compressed certain workflows. Expectations for output per employee are higher. What used to be considered “later-stage operational maturity” is now being scrutinized in seed and […]

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:::info Authors: Zhuo Yao Wei Wang ::: Table Of Links ABSTRACT I. INTRODUCTION II. RELATED WORKS III. PRELIMINARIES IV. METHODOLOGY V. RESULTS OF DECOMPOSITION VI. RESULTS OF DECOMPOSITION’S APPLICATION VII. CONCLUSION, ACKNOWLEDGMENTS AND REFERENCES ABSTRACT Generally, the calculation and memory space required for multi-agent path finding (MAPF) grows exponentially as the number of agents increases. This often results in some MAPF instances being unsolvable under limited computational resources and memory space, thereby limiting the application of MAPF in […]

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Overparameterized models have recently challenged conventional learning theory by exhibiting improved generalization beyond the interpolation limit, a phenomenon known as benign overfitting. This work introduces Adaptive Benign Overfitting (ABO), extending the recursive least-squares (RLS) framework to this regime through a numerically stable formulation based on orthogonal-triangular updates. A QR-based exponentially weighted RLS (QR-EWRLS) algorithm is introduced, combining random Fourier feature mappings with forgetting-factor regularization to enable online adaptation under non-stationary conditions. The orthogonal decomposition prevents the numerical divergence […]

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arXiv:2602.07064v1 Announce Type: new Abstract: Physical understanding remains brittle in omni-modal models because key physical attributes are visually ambiguous and sparsely represented in web-scale data. We present OmniFysics, a compact omni-modal model that unifies understanding across images, audio, video, and text, with integrated speech and image generation. To inject explicit physical knowledge, we build a physical data engine with two components. FysicsAny produces physics-grounded instruction–image supervision by mapping salient objects to verified physical attributes through hierarchical retrieval over […]

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arXiv:2603.20238v1 Announce Type: new Abstract: Efficient computation offloading in multi-UAV edge networks becomes particularly challenging in dense urban areas, where line-of-sight (LoS) links are frequently blocked and user demand varies rapidly. Reconfigurable intelligent surfaces (RISs) can mitigate blockage by creating controllable reflected links, but realizing their potential requires tightly coupled decisions on UAV trajectories, offloading schedules, and RIS phase configurations. This joint optimization is hard to solve in practice because multiple UAVs must coordinate under limited information exchange, […]

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:::info Astounding Stories of Super-Science March, 1932, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Affair of the Brains – Chapter I: Off to the Rendezvous Astounding Stories of Super-Science March 1932: The Affair of the Brains – Chapter I Off to the Rendezvous By Anthony Gilmore ::: :::tip Hawk Carse himself goes to keep Judd the Kite’s rendezvous with the sinister genius Ku Sui. ::: […]

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Vision-Language-Action (VLA) models show strong generalization for robotic control, but finetuning them with reinforcement learning (RL) is constrained by the high cost and safety risks of real-world interaction. Training VLA models in interactive world models avoids these issues but introduces several challenges, including pixel-level world modeling, multi-view consistency, and compounding errors under sparse rewards. Building on recent advances across large multimodal models and model-based RL, we propose VLA-MBPO, a practical framework to tackle these problems in VLA finetuning. […]

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District Heating Systems are essential infrastructure for delivering heat to consumers across a geographic region sustainably, yet efficient management relies on optimizing diverse energy sources, such as wood, gas, electricity, and solar, in response to fluctuating demand. Aligning supply with demand is critical not only for ensuring reliable heat distribution but also for minimizing carbon emissions and extending infrastructure lifespan through lower operating temperatures. However, accurate multi-step forecasting to support these goals remains challenging due to complex, non-linear […]

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