Salmon in the Loop
One of the most fascinating problems that a computer scientist may be lucky enough to encounter is a complex sociotechnical problem in a field going through the process of digital…
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Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks
def tool_shot_planner(instruction, captions): “””Global-aware storyboard sub-queries from instruction + caption bank.””” bank = “; “.join(sorted({c[“caption”] for c in captions})) if llm.available(): sys_p = (“You are VideoAgent’s Shot-Planning Agent. Given the…
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Building AI Agents? Here Are Some Anti-Patterns to Avoid.
In this article, you will learn the architectural and operational anti-patterns that cause AI agent projects to fail, and how to avoid each one. Topics we will cover include: Why…
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Agentic RAG: Let the Agent Search
application we build is a RAG app. The recipe is simple: chunk, embed, retrieve, then answer. It looks clean on paper. But once you use it on real cases, things…
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Featuring Every Eval Ever Results on Hugging Face Model Pages
Every Eval Ever (EEE) and Hugging Face Community Evals are now intercompatible. We enable cross-posting and interpreting evaluation results, while linking to open models, leaderboards, and a unified standardized metadata…
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Measuring Progress Towards AGI: A Cognitive Framework
To understand AI capabilities across these cognitive abilities, we propose a three-stage evaluation protocol that benchmarks system performance in relation to human capabilities: Evaluate AI systems across a broad suite…
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How Jaiveer Singh Is Helping Robots — and Developers — Move Faster
When Jaiveer Singh talks about robots, he doesn’t begin with spectacle. He begins with infrastructure: the boards inside machines, the software that lets developers see through a robot’s cameras and…
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a microscope to see the diversity of cells
The history of each living being is written in its genome, which is stored as DNA and present in nearly every cell of the body. No two cells are the…
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Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes
Frontier models learn mostly from public internet data. However, clinical neuroimaging rarely appears there, because MRI and CT scans contain identifiable facial features. Consequently, general models underperform on brain-imaging tasks….
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How to Orchestrate 100+ Agents With Claude Code
, I’ll discuss how to orchestrate a lot of different agents using Claude Code or any other coding agents When you work with coding agents, you want to run as…
