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SK Hynix raises $26.5B in the biggest foreign IPO in US history, is urged to build new US fabs
South Korean chipmaker SK Hynix has raised 26.5 billion dollars in a historic U.S. initial public offering amid soaring demand for AI hardware.
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Atomic Units of X: The Compression Layer of Intelligence
The authors propose a theoretical framework that defines intelligence as a process of compressing complex phenomena into reusable atomic units.
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FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation
A new neural-symbolic framework called FormalAnalyticGeo has been developed to address the scarcity of annotated data by generating precise multimodal analytic geometry problems.
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Connected by Construction: Learning Tractable Near-Tour Marginals for Traveling Salesman Problems
This study explores the underlying Hamiltonian structures learned by machine learning models before decoding when solving the traveling salesman problem.
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Rethinking the Evaluation of Harness Evolution for Agents
The study re-evaluates automatic harness evolution methods for language model agents, highlighting potential issues with iterative search procedures on public benchmarks.
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Building a Neural Network from Scratch: Implementation, Evaluation, and Optimization
This paper introduces a foundational neural network framework built entirely from scratch to bridge the gap between high-level library usage and core internal mechanics.
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贝莱德二季度净利润19.14亿美元，同比增长20%
BlackRock reported a 20% year-over-year increase in second-quarter net profit to $1.914 billion, with total assets under management reaching $15.34 trillion.
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B站AI创造公开赛投币榜上线
Bilibili has launched the submission leaderboard for its AI Creation Open Competition, which has attracted nearly 5,000 creators within its first month.
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Should AI help you get away with killing your spouse?
The article explores the ethical boundaries of user-aligned AI systems and whether models should refuse harmful or illegal requests.
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遭连日舆论抨击后，Meta暂停AI图像生成功能
Meta has suspended an AI feature that allowed users to generate images using public Instagram photos following widespread criticism regarding its opt-out mechanism.
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The Hidden Footprint: Making Storage a First-Class Metric for LLM Agent Evaluation
Researchers have introduced AgentFootprint, a benchmark designed to measure and evaluate the persistent storage footprint left on disk by large language model agents.
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How Much Does Correctness Cost? Budgeted Placement of Strong Correctors in a Weak Multi-Agent Swarm
The paper analyzes the optimal placement and cost-efficiency of highly accurate oracle agents to guide a swarm of cheaper, unreliable agents toward consensus.
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MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models
Researchers developed MAGIC, a framework that leverages large language models to automate the generation of navigable, multi-scene 3D game environments with consistent transitions.
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Subjective Risk Decomposition: A New View for Uncertainty Quantification
This paper introduces a theoretical framework for quantifying uncertainty in AI models by decomposing subjective risk based on loss functions.
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JEEVHITAA -- An HCAI Ecosystem to Support Collective Care
The JEEVHITAA platform introduces a mobile system designed to facilitate coordinated, multi-actor information sharing and workflows within healthcare settings.
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From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory
This work applies case-based decision theory to map neural network predictions back to specific training examples for improved model auditing.
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Safety from Honesty in a Disinterested AI Predictor
This paper proposes a formal safety framework for an AI predictor designed to provide honest outputs by conditioning on epistemically contextualized data.
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ML in a Box: Analyzing Containerization Practices in Open Source ML Projects
This empirical study analyzes containerization practices in open-source machine learning projects to understand how iterative workflows affect build performance and container size.
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Breaking the Quality--Intelligibility Trade-off in Streaming Target Speaker Extraction via Deep-Feature-Anchored Preference Optimization
A new optimization method called Deep-Feature-Anchored Preference Optimization resolves the trade-off between audio quality and speech intelligibility in streaming target speaker extraction models.
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阿里巴巴获南向资金净买入约30.91亿港元
Alibaba and Tencent received significant net inflows of Southbound capital, totaling approximately 3.09 billion HKD and 1.81 billion HKD respectively.
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Do These Violent Delights Have Violent Ends? Measuring the Post-Merge Fate of Agentic Code
This study evaluates the post-merge stability and maintenance requirements of code generated autonomously by AI agents in real-world repositories.
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Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries
This paper presents a taxonomy and survey analyzing how reusable procedures and skill libraries for language model agents evolve over time.
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Co4ICF: Co-evolving Physics-Informed Surrogate and RL-based Pulse Optimizer for Inertial Confinement Fusion
The Co4ICF framework couples a physics-informed surrogate model with a reinforcement learning optimizer to prevent out-of-distribution errors in inertial confinement fusion simulations.
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JEPA for AI-Native 6G: Predictive Representations and Open Challenges
This paper discusses the application of Joint-Embedding Predictive Architecture as a self-supervised learning paradigm for AI-native 6G wireless networks.