In this article, you will learn how synchronous and asynchronous execution patterns differ architecturally, and how to choose between them when deploying LLM-based agents to…
Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing curriculum and data-selection strategies often allocate training at the environment level or prioritize local reward-based signals, without explicitly considering relationships between current rollouts across environments for prompt-group selection. Meanwhile, as environments are learned at …
Read more “RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation”
Off-the-shelf AI assistants answer individual questions well, but they fall short on a different axis: continuity. Ask a stateless assistant about your garden today and it has no idea that you mentioned your fast-draining raised beds three weeks ago, that you only use organic fertilizer, or that your petunias were struggling through a heat wave. …
Read more “Building a context-aware AI assistant on AgentCore and OpenClaw”
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Science has increasingly used artificial intelligence (AI) as a kind of microscope—sorting data, analyzing images and revealing hidden patterns. Now a new shift is underway: AI that not only breaks down data but also helps scientists decide what to do next through simple, natural language requests.
During VFX Week last week, we released seven open-weight capabilities for LTX-2.5, covering high-res editing, restoration, HDR, CG-guided generation and compositing: Native Resolution: Run AI edits on 4K and 8K plates and beyond without downscaling. Overlapping tiles keep fine detail, on a single GPU. Refine: Refine generates the fine detail a standard resize leaves soft, …
Read more “From 3D layout to compositing: new LTX VFX tools”
In this article, you will learn what an AI agent is and how to build one from scratch in plain Python using the Anthropic API,…
Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over how systems are designed and built. Despite decades of scholarship around systems that enable such authorship, these systems are often evaluated on whether or not they are usable, useful, or …
Read more “Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems”
Coding and agentic workloads are asking more of AI models than ever: refactor a repository spanning hundreds of files, sustain a multi-hour agentic workflow without losing context, and reason through complex systems problems with tool use at every step. Meeting those demands with open-weight models has historically meant provisioning and operating your own inference infrastructure. …
Interviews with Justine Wilson and Ashley St. Clair in the nearly four-hour-long Musk paint the world’s richest man as capricious and cruel even toward those closest to him.