arXiv:2608.19875v1 Announce Type: cross Abstract: Patients often submit short, underspecified queries to healthcare chatbots that lack the…
Evidence Before Expansion: Reuse, Spawn, or Defer in Lifelong Expert Pools
arXiv:2608.19888v1 Announce Type: cross Abstract: Streaming systems that maintain a pool of expert models must repeatedly decide whether to reuse an…
Separating Covariate Shift from Mechanism Change with Two Discriminators: CJSD, a Conditional Discrepancy with an Exact Covariate-Concept Decomposition
arXiv:2608.19885v1 Announce Type: cross Abstract: Streaming systems that maintain a pool of expert models must repeatedly decide whether to reuse an…
Interrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models
arXiv:2608.19893v1 Announce Type: cross Abstract: Where does the novelty a base language model produces with no task come from, and what can an LLM judge…
The DOJ is investigating a16z. What does this mean for venture capital?
Andreessen Horowitz has two partners sitting on the boards of companies that now compete with each other: Ben Horowitz at Databricks and Martin Casado at…
MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection
arXiv:2608.19901v1 Announce Type: cross Abstract: Agent Skills extend LLM agents with reusable instruction packages that may also include scripts,…
AI News Brief Hourly Summary 2026-08-21 18h : 14 posts
14 posts published in the last hour 15:32Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners 15:32Adaptive Probabilistic Shielding by Learning MDPs for Safe Reinforcement Learning 15:32Core-KAN: Continuous Vision Kernels with Kolmogorov-Arnold Networks 15:32MileGPO: Milestone Inference with Local Evidence…
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
arXiv:2608.19863v1 Announce Type: cross Abstract: Self-supervised learning (SSL) has driven substantial progress in audio representation learning, though…
Adaptive Probabilistic Shielding by Learning MDPs for Safe Reinforcement Learning
arXiv:2608.19836v1 Announce Type: cross Abstract: Probabilistic shielding is a technique for safe reinforcement learning (RL). Typically, a static…
Core-KAN: Continuous Vision Kernels with Kolmogorov-Arnold Networks
arXiv:2608.19817v1 Announce Type: cross Abstract: Conventional convolutional kernels are typically defined on fixed discrete grids, limiting their ability…
MileGPO: Milestone Inference with Local Evidence for Graph-Based Policy Optimization of Long-Horizon LLM Agents
arXiv:2608.19803v1 Announce Type: cross Abstract: Credit assignment is challenging in long-horizon agentic reinforcement learning, where supervision often…
US wants to force partner countries to choose between Washington and Beijing in the AI race
The US is drafting a letter to partner countries telling them to pick a side in the AI standoff between Washington and Beijing, according to Reuters. The…
Repo0: Design-Driven Zero-to-All Code Generation
arXiv:2608.19854v1 Announce Type: cross Abstract: Large language model agents have made substantial progress in code generation, yet most existing systems…
An Irreducible Quantum Advantage in Aligning World Models with Reality
arXiv:2608.19779v1 Announce Type: cross Abstract: World models provide digital simulacra of the true world, allowing agents to be trained and tested…
Finite-Horizon Input-Output Dynamics of Minibatch Perturbations in AdamW
arXiv:2608.19762v1 Announce Type: cross Abstract: A minibatch can influence training beyond the update at which it is observed because AdamW stores past…
Distilling Aggregate Mobility Statistics into a Language Model Policy for Post-Event Crowd Simulation
arXiv:2608.19778v1 Announce Type: cross Abstract: Pedestrian simulators need a behaviour rule for every agent, but privacy usually limits the data for…
A third of web pages published since ChatGPT launched were written by AI, study finds
ChatGPT and other AI models are now authoring and editing much of the new web.
CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning
arXiv:2608.19776v1 Announce Type: cross Abstract: Current dexterous grasp planners primarily optimize for physical stability, focusing on whether an…