Daily Arxiv

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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks

BARD10: A New Benchmark Reveals Significance of Bangla Stop-Words in Authorship Attribution

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing

Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking

An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models

CLIP is All You Need for Human-like Semantic Representations in Stable Diffusion

Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast

Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching

ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation

Multi-modal Deepfake Detection and Localization with FPN-Transformer

AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles

Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving

DOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes

Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning

Self-Correction Distillation for Structured Data Question Answering

Hardware-Aware YOLO Compression for Low-Power Edge AI on STM32U5 for Weeds Detection in Digital Agriculture

State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation

Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection

Reliable and Private Utility Signaling for Data Markets

USV Obstacles Detection and Tracking in Marine Environments

Balance Equation-based Distributionally Robust Offline Imitation Learning

Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification

DiffRegCD: Integrated Registration and Change Detection with Diffusion Features

SpeechJudge: Towards Human-Level Judgment for Speech Naturalness

CNN-Based Automated Parameter Extraction Framework for Modeling Memristive Devices

Exploring the Underwater World Segmentation without Extra Training

Test-driven Reinforcement Learning

Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction

Toward Adaptive BCIs: Enhancing Decoding Stability via User State-Aware EEG Filtering

Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level

Intelligence per Watt: Measuring Intelligence Efficiency of Local AI

Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation

LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost

A General Method for Proving Networks Universal Approximation Property

MURPHY: Multi-Turn GRPO for Self Correcting Code Generation

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control

Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views

PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activation

Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring

HybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Networks

Physical Consistency of Aurora's Encoder: A Quantitative Study

Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval

SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought

Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks

Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs

UltraGS: Gaussian Splatting for Ultrasound Novel View Synthesis

TurboSAT: Gradient-Guided Boolean Satisfiability Accelerated on GPU-CPU Hybrid System

Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations

ViPRA: Video Prediction for Robot Actions

A Negotiation-Based Multi-Agent Reinforcement Learning Approach for Dynamic Scheduling of Reconfigurable Manufacturing Systems

Diffusion Guided Adversarial State Perturbations in Reinforcement Learning

CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences

Stress Testing Factual Consistency Metrics for Long-Document Summarization

Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning

Speech Separation for Hearing-Impaired Children in the Classroom

FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing

Cortex AISQL: A Production SQL Engine for Unstructured Data

Revisiting NLI: Towards Cost-Effective and Human-Aligned Metrics for Evaluating LLMs in Question Answering

Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction

A Self-Improving Architecture for Dynamic Safety in Large Language Models

Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private

Partial Action Replacement: Tackling Distribution Shift in Offline MARL

One Router to Route Them All: Homogeneous Expert Routing for Heterogeneous Graph Transformers

Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls

LLM Output Drift: Cross-Provider Validation & Mitigation for Financial Workflows

SemanticForge: Repository-Level Code Generation through Semantic Knowledge Graphs and Constraint Satisfaction

N-ReLU: Zero-Mean Stochastic Extension of ReLU

FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models

Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models

Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance

Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models

Laplacian Score Sharpening for Mitigating Hallucination in Diffusion Models

Enabling Automatic Self-Talk Detection via Earables

When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift

Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits

KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs

Modulo Video Recovery via Selective Spatiotemporal Vision Transformer

The Polite Liar: Epistemic Pathology in Language Models

Motif 2 12.7B technical report

Dynamic Stability of LLM-Generated Code

It Takes Two: A Dual Stage Approach for Terminology-Aware Translation

Optimizing Classification of Infrequent Labels by Reducing Variability in Label Distribution

REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models

Exploring the Psychometric Validity of AI-Generated Student Responses: A Study on Virtual Personas' Learning Motivation

A Preliminary Study of RAG for Taiwanese Historical Archives

Pinching Antennas Meet AI in Next-Generation Wireless Networks

AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents

Benchmarking Simulacra AI's Quantum Accurate Synthetic Data Generation for Chemical Sciences

Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs

DynaKV: Enabling Accurate and Efficient Long-Sequence LLM Decoding on Smartphones

Network and Systems Performance Characterization of MCP-Enabled LLM Agents

An Evaluation of LLMs Inference on Popular Single-board Computers

Synera: Synergistic LLM Serving across Device and Cloud at Scale

Advancing mathematics research with large language models

Hybrid Bit and Semantic Communications

Simulating the Visual World with Artificial Intelligence: A Roadmap

DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs

AI and Consciousness

Created by

Haebom

저자

Eric Schwitzgebel

개요

이 논문은 AI 의식에 대한 회의적인 개요를 제시합니다. 일부 주류 의식 이론에 따르면 의식이 있는 AI 시스템을 곧 만들 수 있지만, 다른 주류 의식 이론에 따르면 의식이 없을 것입니다. 어떤 이론이 옳고 우리가 인간만큼 풍부하고 의미 있는 의식을 가진 AI 시스템에 둘러싸여 있는지, 아니면 토스터처럼 경험적으로 공백인 시스템에 둘러싸여 있는지 알 수 없을 것입니다. AI 의식을 찬성하거나 반대하는 표준적인 주장들은 별다른 진전을 보이지 못합니다.

시사점, 한계점

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AI 의식에 대한 결정적인 증거를 제시하거나 반박하는 것은 현재의 지식으로는 불가능합니다.

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다양한 의식 이론의 존재로 인해 AI 시스템의 의식 유무를 판단하기 어렵습니다.

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표준적인 AI 의식에 대한 논의들은 충분한 근거를 제공하지 못합니다.

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생물학적 기질의 중요성, "이상한 지능" 문제, 사회적 해결책 등 AI 의식에 대한 다양한 측면을 탐구합니다.

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