산업ENWired AI
These AI Thirst Trap Creators Say They’re Misunderstood
A viral red carpet moment shone light on a group of hunky Instagram influencers—and the followers who are too horny to care that they’re not real.
AI 업계의 최신 소식을 빠르게 확인하세요.
A viral red carpet moment shone light on a group of hunky Instagram influencers—and the followers who are too horny to care that they’re not real.
As people increasingly rely on AI chatbots for guidance, even on financial matters, a healthy dose of skepticism is critical.
arXiv:2604.19749v1 Announce Type: new Abstract: Equipping LLMs with external tools effectively addresses internal reasoning limitations. However, it introduces a critical yet underexplored phenomenon: tool overuse, the unnecessary tooluse during reasoning.
arXiv:2604.19751v1 Announce Type: new Abstract: Generative AI is entering research, education, and professional work faster than current governance frameworks can specify how AIassisted outputs should be judged in learningintensive settings.
arXiv:2604.19753v1 Announce Type: new Abstract: We propose a featurefree approach to algorithm selection that replaces handcrafted instance features with pretrained text embeddings.
arXiv:2604.19754v1 Announce Type: new Abstract: Automated scoring of students' scientific explanations offers the potential for immediate, accurate feedback, yet class imbalance in rubric categories particularly those capturing advanced reasoning remains a challenge.
arXiv:2604.19755v1 Announce Type: new Abstract: Antimoney laundering AML transaction monitoring generates large volumes of alerts that must be rapidly triaged by investigators under strict audit and governance constraints.
arXiv:2604.19758v1 Announce Type: new Abstract: We present ThermoQA, a benchmark of 293 openended engineering thermodynamics problems in three tiers: property lookups 110 Q, component analysis 101 Q, and full cycle analysis 82 Q. Ground truth is computed programmatically from CoolProp 7.2.
arXiv:2604.19759v1 Announce Type: new Abstract: Clinical trials require strict adherence to medication protocols, yet dosing errors remain a persistent challenge affecting patient safety and trial integrity.
arXiv:2604.19760v1 Announce Type: new Abstract: We present a simulationbased evaluation of the Inference Headroom Ratio IHR, a dimensionless diagnostic quantity for characterizing inference stability in constrained decision systems.
arXiv:2604.19761v1 Announce Type: new Abstract: Modern machine learning is still largely organized around a single recipe: choose a parameterized model family and optimize its weights.
arXiv:2604.19775v1 Announce Type: new Abstract: Large Language Models LLMs are increasingly deployed as autonomous agents capable of reasoning, planning, and acting within interactive environments.