The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a…
From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers
arXiv:2608.23660v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to provide prior causal knowledge for structural…
Preparing data for supervised fine-tuning Part 1: Formatting and quality
Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data…
Elastic KV Cache for LLM Serving:A Working Reclamation Mechanism, and Why Chunked Prefill Already Closes the Gap
arXiv:2608.23658v1 Announce Type: cross Abstract: An LLM serving engine sizes its key-value (KV) cache once, at startup, permanently setting aside a…
AI Isn’t Ready for the Real Work: Why Models Flunk Complex Tasks
Investors in the AI bubble beg white collar professionals to hand over their hardest problems and promise workers that they’ll get their afternoons back…
REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code Refactoring
arXiv:2608.23611v1 Announce Type: cross Abstract: Large Language Models (LLMs) offer new opportunities for automated code refactoring. However, generated…
Connect Amazon Bedrock AgentCore to cross-account knowledge bases
Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless…
When May an Agent Stop? Evidence-Carrying Termination for Tool-Using LLMs
arXiv:2608.23623v1 Announce Type: cross Abstract: Tool-using agents must decide when to stop. Existing systems already gate terminal success, certify…
Radar makes podcasts searchable — and usable by AI agents
Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and…
Rebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures Reveal
arXiv:2608.23616v1 Announce Type: cross Abstract: An AI agent’s rebuild is only as good as the process that produced it. Prior work found that once a…
Sundar Subramanian, CEO of Zyter – Interview Series
Sundar Subramanian, CEO of Zyter, is an experienced strategy and healthcare executive with a background spanning management consulting, digital…
Macro-Operator Generation and Predicate Selection for TAMP Operator Learning
arXiv:2608.23629v1 Announce Type: cross Abstract: Creating symbolic operators by hand is one of the main bottlenecks in deploying Task and Motion Planning…
Waystar Puts Agentic AI to Work on Claims, Denials, and Patient Bills
Waystar, the publicly traded healthcare payments company, on August 26, 2026 unveiled a set of agentic AI capabilities built on its AltitudeAI platform…
Identifying Latent Declarative Representations of Code for Assisting Repository Migration
arXiv:2608.23619v1 Announce Type: cross Abstract: Legacy software repositories embed decades of domain knowledge in undocumented code, making…
AI News Brief Hourly Summary 2026-08-26 18h : 15 posts
15 posts published in the last hour 15:33SPO++: Stream-Aligned Policy Optimization for Asynchronous Agentic RL 15:33Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses 15:33Progressively Learning Heterogeneous Skills in a Unified Latent Space 15:33Alibaba’s Qwen Team Releases Qwen3.8-Flash-Next: A 125B Multimodal…
SPO++: Stream-Aligned Policy Optimization for Asynchronous Agentic RL
arXiv:2608.24870v1 Announce Type: new Abstract: Group-relative reinforcement learning waits for sibling rollouts of the same prompt, which is costly for…
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
arXiv:2608.24876v1 Announce Type: new Abstract: Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the…
Progressively Learning Heterogeneous Skills in a Unified Latent Space
arXiv:2608.23258v1 Announce Type: cross Abstract: We propose HetSkills, a novel framework designed to progressively learn heterogeneous skills within a…