arXiv:2605.14175v2 Announce Type: replace Abstract: In a long conversation, an LLM can produce a plausible continuation that rests on premises the…
Zero-shot World Models Are Developmentally Efficient Learners
arXiv:2604.10333v2 Announce Type: replace Abstract: Young children demonstrate early abilities to understand their physical world, estimating depth,…
Cultural Binding Heads in Language Models
arXiv:2605.28543v3 Announce Type: replace Abstract: LLMs often default to equal treatment across cultural groups, even though context warrants…
Reinforcement learning for Quantum Tiq-Taq-Toe
arXiv:2411.06429v2 Announce Type: replace Abstract: Quantum Tiq-Taq-Toe is a well-known benchmark and playground for both quantum computing and machine…
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
arXiv:2505.23686v3 Announce Type: replace Abstract: Learning to collaborate with previously unseen partners is a fundamental generalization challenge,…
MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
arXiv:2604.10169v5 Announce Type: replace Abstract: Trajectory prediction is a key component of autonomous driving systems because future motions directly…
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams
arXiv:2306.13732v2 Announce Type: replace Abstract: We study a class of reinforcement learning (RL) tasks where the objective of the agent is to…
An Anthropic researcher’s doomsday warning comes at a very interesting time
An Anthropic researcher resigned this week, warning in a post on X that the company is “racing straight to self-improving superintelligence and gambling…
RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue
arXiv:2603.23346v2 Announce Type: replace Abstract: Real-time spoken dialogue systems face a fundamental tension between latency and response quality.…
AI News Brief Hourly Summary 2026-09-11 21h : 15 posts
15 posts published in the last hour 18:33IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier 18:33Show-Harness: Just a VLM Agent Can Play Robots 18:32Build interactive MCP Apps using Amazon Bedrock AgentCore 18:32Emergency Department Revisit…
IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier
arXiv:2609.10494v1 Announce Type: cross Abstract: Enterprises deploy systems, not checkpoints. Usable capability depends jointly on weights, serving…
Show-Harness: Just a VLM Agent Can Play Robots
arXiv:2609.10522v1 Announce Type: cross Abstract: Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating…
Build interactive MCP Apps using Amazon Bedrock AgentCore
Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same…
Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support
arXiv:2609.10421v1 Announce Type: cross Abstract: Background: Emergency Department (ED) return visits are commonly reviewed for quality assurance, but are…
Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations
Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock…
Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs
arXiv:2609.10439v1 Announce Type: cross Abstract: Large Language Models (LLMs) can memorize and reproduce sensitive, copyrighted, or otherwise undesirable…
Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload
Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking…
Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization
arXiv:2609.10464v1 Announce Type: cross Abstract: Joint-Embedding Predictive Architecture (JEPA) world models learn a compact latent representation of the…