arXiv:2608.18164v1 Announce Type: cross Abstract: Safety evaluations of large language models (LLMs) predominantly rely on text-based adversarial prompts,…
Author: script
What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
arXiv:2608.18186v1 Announce Type: cross Abstract: In the past few years, machine learning (ML) has been widely (and to an extent, successfully)…
GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
arXiv:2608.18234v1 Announce Type: cross Abstract: Whole-body motion tracking policies turn a humanoid into a robust control interface: the…
GEN-1.5: Generalist AI teaches robots new tasks from a single demo
Robotics startup Generalist AI has unveiled GEN-1.5, an AI model that teaches robots new tasks from a single demonstration. The article GEN-1.5:…
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
arXiv:2608.18193v1 Announce Type: cross Abstract: Distribution-free risk control adds organ-specific recall guarantees to frozen segmentation. We…
AI News Brief Hourly Summary 2026-08-20 15h : 16 posts
16 posts published in the last hour 12:33TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving 12:33How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection 12:33KI-Pioneer Sutton calls…
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
arXiv:2608.18149v1 Announce Type: cross Abstract: Energy-aware LLM serving requires comparing configurations under realistic request shapes, yet…
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
arXiv:2608.18155v1 Announce Type: cross Abstract: Quantum machine learning (QML) for network intrusion detection (NIDS) is routinely reported to reach…
KI-Pioneer Sutton calls synthetic data a “big mistake” in the face of an infinitely complex world
Turing Award winner Richard Sutton calls synthetic data a “big mistake” for scaling large language models. The world is infinitely complex, and any…
When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
arXiv:2608.18158v1 Announce Type: cross Abstract: LLMs have been increasingly used to catch data quality issues automatically, but we know very little…