AI Digest — 2025-09-01

• OpenAI eyes massive 1 GW data center in India as part of global Stargate expansion (14:30Z)
• Prime Intellect launches an open platform for reinforcement learning environments (14:30Z)
• G42 looks beyond Nvidia as it explores AMD, Cerebras and Qualcomm for AI campus hardware (14:30Z)
• LLMs struggle with clinical reasoning and are just matching patterns, study finds (13:00Z)
• Urban Arrow FamilyNext Pro Review: The Perfect Family Bike (12:30Z)
• Magnesium Supplements Crash Course: Benefits and Side Effects (12:30Z)
• The Generalist: The New All-Around Type of Data Professional? (12:00Z)
• Latam-GPT: The Free, Open Source, and Collaborative AI of Latin America (11:30Z)
• Is AI the end of software engineering or the next step in its evolution? (11:30Z)
• China Is About to Show Off Its New High-Tech Weapons to the World (11:00Z)
• 10-second autism test | Dave Plummer and Lex Fridman (11:00Z)
• WIRED Roundup: Meta’s AI Brain Drain (10:30Z)
• Silksong is only $19.99 (10:00Z)
• Lovable’s CEO isn’t too worried about the vibe-coding competition (09:30Z)
• Hell Is Us is a cryptic and ambitious meditation on the horrors of war (08:30Z)
• StepFun AI Releases Step-Audio 2 Mini: An Open-Source 8B Speech-to-Speech AI Model that Surpasses GPT-4o-Audio (07:00Z)
• The story behind 3D Pinball, Minesweeper, and Solitaire | Dave Plummer and Lex Fridman (07:00Z)
• Quantum-inspired probability metrics define a complete, universal space for statistical learning (04:00Z)
• Convolutional Rectangular Attention Module (04:00Z)
• Adaptive generative moment matching networks for improved learning of dependence structures (04:00Z)
• BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design (04:00Z)
• Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks (04:00Z)
• Data-driven Discovery of Digital Twins in Biomedical Research (04:00Z)
• Learning covariate importance for matching in policy-relevant observational research (04:00Z)
• Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery (04:00Z)
• Bayesian Double Descent (04:00Z)
• Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling (04:00Z)
• Discovering Heterogeneous Treatment Effects in Regression Discontinuity Designs (04:00Z)
• Mixed membership estimation for categorical data with weighted responses (04:00Z)
• OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization (04:00Z)
• Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS$^2$-based Proteomics (04:00Z)
• QZhou-Embedding Technical Report (04:00Z)
• QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learning (04:00Z)
• NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration (04:00Z)
• Automated Clinical Problem Detection from SOAP Notes using a Collaborative Multi-Agent LLM Architecture (04:00Z)
• Complete Gaussian Splats from a Single Image with Denoising Diffusion Models (04:00Z)
• Tree-Guided Diffusion Planner (04:00Z)
• CE-RS-SBCIT A Novel Channel Enhanced Hybrid CNN Transformer with Residual, Spatial, and Boundary-Aware Learning for Brain Tumor MRI Analysis (04:00Z)
• Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions (04:00Z)
• ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism (04:00Z)
• Freeze and Conquer: Reusable Ansatz for Solving the Traveling Salesman Problem (04:00Z)
• Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective (04:00Z)
• PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation (04:00Z)
• Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI (04:00Z)
• Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction (04:00Z)
• A-MHA*: Anytime Multi-Heuristic A* (04:00Z)
• Retrieval-Augmented Machine Translation with Unstructured Knowledge (04:00Z)
• Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study (04:00Z)
• Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics (04:00Z)
• Transforming Wearable Data into Personal Health Insights using Large Language Model Agents (04:00Z)
• Revisiting Landmarks: Learning from Previous Plans to Generalize over Problem Instances (04:00Z)
• Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight (04:00Z)
• HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining (04:00Z)
• Counterfactual Scenarios for Automated Planning (04:00Z)
• EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting (04:00Z)
• Modeling Wise Decision Making: A Z-Number Fuzzy Framework Inspired by Phronesis (04:00Z)
• MMSearch-Plus: A Simple Yet Challenging Benchmark for Multimodal Browsing Agents (04:00Z)
• Learning Lifted Action Models From Traces of Incomplete Actions and States (04:00Z)
• FROG: Fair Removal on Graphs (04:00Z)
• A General Framework of Epistemic Forgetting and its Instantiation by Ranking Functions (04:00Z)
• Guiding a diffusion model using sliding windows (04:00Z)
• MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems (04:00Z)
• Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation (04:00Z)
• Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models (04:00Z)
• AI Compute Architecture and Evolution Trends (04:00Z)
• AHELM: A Holistic Evaluation of Audio-Language Models (04:00Z)
• Latent Adaptive Planner for Dynamic Manipulation (04:00Z)
• CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN (04:00Z)
• Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge (04:00Z)
• Developer Insights into Designing AI-Based Computer Perception Tools (04:00Z)
• Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning (04:00Z)
• AI Simulation by Digital Twins: Systematic Survey, Reference Framework, and Mapping to a Standardized Architecture (04:00Z)
• TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank (04:00Z)
• Adaptive Heavy-Tailed Stochastic Gradient Descent (04:00Z)
• TorchCP: A Python Library for Conformal Prediction (04:00Z)
• DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks (04:00Z)
• Label Embedding via Low-Coherence Matrices (04:00Z)
• Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models (04:00Z)
• Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering (04:00Z)
• Distribution-Aware Feature Selection for SAEs (04:00Z)
• Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education (04:00Z)
• Convergence of regularized agent-state-based Q-learning in POMDPs (04:00Z)
• Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning (04:00Z)
• Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning (04:00Z)
• PlantVillageVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science (04:00Z)
• MyGO: Memory Yielding Generative Offline-consolidation for Lifelong Learning Systems (04:00Z)
• From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling (04:00Z)
• Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning (04:00Z)
• BrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training (04:00Z)
• CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams (04:00Z)
• Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model (04:00Z)
• Guess-and-Learn (G&L): Measuring the Cumulative Error Cost of Cold-Start Adaptation (04:00Z)
• Quantized Neural Networks for Microcontrollers: A Comprehensive Review of Methods, Platforms, and Applications (04:00Z)
• Owen Sampling Accelerates Contribution Estimation in Federated Learning (04:00Z)
• Beyond Frequency: The Role of Redundancy in Large Language Model Memorization (04:00Z)
• RelP: Faithful and Efficient Circuit Discovery via Relevance Patching (04:00Z)
• SpecPipe: Accelerating Pipeline Parallelism-based LLM Inference with Speculative Decoding (04:00Z)
• A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics (04:00Z)
• Mamba State-Space Models Are Lyapunov-Stable Learners (04:00Z)
• Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay (04:00Z)