PhAIL ranks top robotics foundation models on real hardware - The Robot Report
PhAIL ranks top robotics foundation models on real hardware The Robot Report
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I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here's What Actually Works.
I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here’s What Actually Works. DOM-based automation requires you to reverse-engineer someone else’s frontend and pray they don’t change it. They always change it. Source: Image by Resource Database on Unsplash Last month, I spent a couple of weeks attempting to build a testing framework for an app that includes a web app, a Slack app, and connections to multiple external sources, requiring testing of interface elements on external web interfaces. I managed to vibe engineer a Playwright-based test suite that “sort of™” worked. Until it didn’t. One of the external sites had updated its dashboard. Not a redesign, just a CSS class rename on a table component. Three automations targeting that table stopped working simultaneously. A
Arcee AI Releases Trinity Large Thinking: An Apache 2.0 Open Reasoning Model for Long-Horizon Agents and Tool Use
The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning. While proprietary reasoning models have dominated the conversation, Arcee AI has released Trinity Large Thinking. This release is an open-weight reasoning model distributed under the Apache 2.0 license, positioning it as a transparent alternative for developers [ ] The post Arcee AI Releases Trinity Large Thinking: An Apache 2.0 Open Reasoning Model for Long-Horizon Agents and Tool Use appeared first on MarkTechPost .
Migrating from Ralph Loops to duckflux
If you've been running coding agent tasks inside Ralph Loops , you already understand the core insight: iteration beats perfection. You've seen what happens when you hand a well-written prompt to an AI agent and let it grind until the job is done. This guide shows how to take that same philosophy and express it as a declarative, reproducible workflow in duckflux. You gain structure, observability, and composability without giving up the power of iterative automation. What are Ralph Loops? Ralph Wiggum is an iterative AI development methodology built on a deceptively simple idea: feed a prompt to a coding agent in a loop until the task is complete. Named after the Simpsons character (who stumbles forward until he accidentally succeeds), the technique treats failures as data points and bets
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I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here's What Actually Works.
I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here’s What Actually Works. DOM-based automation requires you to reverse-engineer someone else’s frontend and pray they don’t change it. They always change it. Source: Image by Resource Database on Unsplash Last month, I spent a couple of weeks attempting to build a testing framework for an app that includes a web app, a Slack app, and connections to multiple external sources, requiring testing of interface elements on external web interfaces. I managed to vibe engineer a Playwright-based test suite that “sort of™” worked. Until it didn’t. One of the external sites had updated its dashboard. Not a redesign, just a CSS class rename on a table component. Three automations targeting that table stopped working simultaneously. A
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