AI News

Hooking into the Antigravity Harness with Google Cloud Observability (medium.com)

The Semantic Brain & Operational Muscle: Solving the Enterprise AI Context Deficit (medium.com)

Inline vs. Separate Tables for Vectors in Postgres: Measuring the Join Overhead (medium.com)

Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 (medium.com)

Jev and BigQuery AI functions, from one row to ten million (medium.com)

Google Cloud Professional Agentic Architect: What I Know So Far (medium.com)

Managed SFTP on Google Cloud (medium.com)

Black Forest Labs Releases FLUX 3 Action: A 7B Open-Weights World Action Model That Tops RoboLab-120 (www.marktechpost.com)

How Believable is Google's New 'Live Avatar' Capability? (tech.slashdot.org)

CatSIM: A Categorical Image Similarity Metric (arxiv.org)

Anatomy-aware cross-speaker adaptation of complete vocal-tract acoustic-to-articulatory inversion (arxiv.org)

Do Audio Language Models Hear and Read Distinctive Features Alike? (arxiv.org)

An Analytical Theory of Auxiliary Learning (arxiv.org)

Your Transformer Can Hold Two Thoughts at Once: Evidence of Linear Superposition in LLMs (arxiv.org)

TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations (arxiv.org)

Matrix Aggregation Operators (arxiv.org)

NumericJev: Jev-like LLM Numerical Decoding with Multiway Decision Trees (arxiv.org)

Certified Task-Conditioned Active Observability (arxiv.org)

Sequential Confidence Sets for Coverage-Constrained Conformal Model Selection (arxiv.org)

Stochastic Inertial Krasnosel'skii-Mann Iteration Achieves Near-Optimal Sample Complexity (arxiv.org)

An Order-Theoretic Characterization of Consistent Inductive Inference (arxiv.org)

Speculative Evaluation of Stochastic LLMs (arxiv.org)

Exact Bayes Regret and Asymptotic Optimality in High-Dimensional Gaussian Bandits (arxiv.org)

Selective Inference for Deep Clustering in Latent Spaces (arxiv.org)

Personalised federated learning for Riemannian and Euclidean EEG decoding (arxiv.org)

Transformers as Cross-Task Learners: Shared Structure Drives Sample Efficiency in In-Context Learning (arxiv.org)

Feature Space Selection and Heterogeneous Effect Estimation for Blood-Brain Barrier Permeability: A Random Forest to the Generalized Random Forest Pipeline (arxiv.org)

GCUL: Ambiguity Identification in Text Emotion Classification via Cluster-Guided Learning (arxiv.org)

Machine Unlearning for Gibbs Supervised Learning Algorithms (arxiv.org)

Optimal Recovery Meets Bayesian Learning: Where Worst-Case Bounds Pay Off (arxiv.org)

Robust Detection of LLM-Generated Text under Contamination (arxiv.org)

Path-specific harm decomposition: A partial identification framework (arxiv.org)

Lightweight Probabilistic Downscaling from a Deterministic Base Model (arxiv.org)

Nuclear Norm-Regularized Bayesian Matrix Completion (arxiv.org)

From Prediction to Explainable Provider Behavior Profiles for Fraud, Waste, and Abuse Review (arxiv.org)

SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models (arxiv.org)

Global Convergence of Third-Order Langevin Dynamics for Non-Convex Optimization via Simulated Annealing (arxiv.org)

RLVR landscapes for iterated multiplications can be benign: Insights from spin-glass theory (arxiv.org)

Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning (arxiv.org)

When Does Action Credit Need Updating? (arxiv.org)

Functional dynamic mode decomposition: Learning infinite-dimensional systems from data (arxiv.org)

FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference (arxiv.org)

Sufficiently Reduced Distributional Regression (arxiv.org)

Learning a Flow to Self-Supervised Representations (arxiv.org)

Neural Transport Nested Sampling (arxiv.org)

Direct Message Approximation (DMA): A Consistency-Based Framework for Tractable Approximate Inference on Factor Graphs (arxiv.org)

Physics-Informed Neural Operator Surrogate for 2D Magnetohydrodynamic Reconnection (arxiv.org)

The Impossible Trinity of Time-Series Validation: A Conservation Law among Training Sufficiency, Test Coverage, and Temporal Causality (arxiv.org)

On the second-order optimization for spiking neural networks (arxiv.org)

DeepGOF-1: A Pretrained Convolutional Goodness-of-Fit Test for Logistic Regression with a Computable Consistency Certificate (arxiv.org)