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RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation

Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents.…

2 hours ago

Building a context-aware AI assistant on AgentCore and OpenClaw

Off-the-shelf AI assistants answer individual questions well, but they fall short on a different axis: continuity. Ask a stateless assistant…

2 hours ago

Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems

Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures…

1 day ago

Introducing GLM 5.3 on Amazon Bedrock

Coding and agentic workloads are asking more of AI models than ever: refactor a repository spanning hundreds of files, sustain…

1 day ago

Language Discrimination Improves Linguistic Learning in Multilingual Speech Models

Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total pretraining data budget they…

4 days ago

Early Talent Hiring at Palantir

What Hiring Managers value — and how they’ve built their careers at PalantirEditor’s Note: Technical Recruiter Rachel Vogel speaks with Hiring Managers to…

4 days ago

Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern

Checking tens of thousands of apartment leases against constantly changing state landlord-tenant laws, and proving you actually checked all of…

4 days ago

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over…

5 days ago

Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

October 2026: This post was reviewed and updated for accuracy. Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore…

5 days ago

On the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study

Controlling the output of Large Language Models (LLMs) is a central challenge for their reliable deployment, yet a clear understanding…

6 days ago